From a5edf53b8520708f7a517bbc69ad1731ea881329 Mon Sep 17 00:00:00 2001 From: Eric Snow Date: Thu, 20 May 2021 11:23:37 -0600 Subject: [PATCH 01/31] Add co_fastlocalnames and co_fastlocalkinds. --- Include/cpython/code.h | 16 +- Include/internal/pycore_code.h | 31 +- Objects/codeobject.c | 134 +- Objects/frameobject.c | 3 +- Python/compile.c | 64 +- Python/importlib.h | 3527 ++++++++++----------- Python/importlib_external.h | 5339 ++++++++++++++++---------------- Python/importlib_zipimport.h | 1917 ++++++------ Python/marshal.c | 27 +- 9 files changed, 5689 insertions(+), 5369 deletions(-) diff --git a/Include/cpython/code.h b/Include/cpython/code.h index 5c0fae47e79f2c..31a9ef4a72c717 100644 --- a/Include/cpython/code.h +++ b/Include/cpython/code.h @@ -3,6 +3,8 @@ #endif typedef uint16_t _Py_CODEUNIT; +// Each oparg must fit in the second half of _Py_CODEUNIT, hence 8 bits. +#define _Py_MAX_OPARG 255 #ifdef WORDS_BIGENDIAN # define _Py_OPCODE(word) ((word) >> 8) @@ -14,6 +16,11 @@ typedef uint16_t _Py_CODEUNIT; typedef struct _PyOpcache _PyOpcache; + +// These are duplicated from pycore_code.h. +typedef unsigned char _PyFastLocalKind; +typedef _PyFastLocalKind _PyFastLocalKinds[_Py_MAX_OPARG + 1]; + /* Bytecode object */ struct PyCodeObject { PyObject_HEAD @@ -53,9 +60,8 @@ struct PyCodeObject { int co_kwonlyargcount; /* #keyword only arguments */ int co_stacksize; /* #entries needed for evaluation stack */ int co_firstlineno; /* first source line number */ - PyObject *co_varnames; /* tuple of strings (local variable names) */ - PyObject *co_cellvars; /* tuple of strings (cell variable names) */ - PyObject *co_freevars; /* tuple of strings (free variable names) */ + PyObject *co_fastlocalnames; /* tuple mapping fastlocalsplus to names */ + _PyFastLocalKinds co_fastlocalkinds; /* array mapping to local kinds */ PyObject *co_filename; /* unicode (where it was loaded from) */ PyObject *co_name; /* unicode (name, for reference) */ PyObject *co_linetable; /* string (encoding addr<->lineno mapping) See @@ -70,6 +76,10 @@ struct PyCodeObject { int co_nlocals; /* number of local variables */ int co_ncellvars; /* number of cell variables */ int co_nfreevars; /* number of free variables */ + // cached values + PyObject *co_varnames; /* tuple of strings (local variable names) */ + PyObject *co_cellvars; /* tuple of strings (cell variable names) */ + PyObject *co_freevars; /* tuple of strings (free variable names) */ /* The remaining fields are zeroed out on new code objects. */ diff --git a/Include/internal/pycore_code.h b/Include/internal/pycore_code.h index dab6c34dd1732d..97144b3943849c 100644 --- a/Include/internal/pycore_code.h +++ b/Include/internal/pycore_code.h @@ -26,6 +26,25 @@ struct _PyOpcache { }; +// We would use an enum if C let us specify the storage type. +typedef unsigned char _PyFastLocalKind; +// Note that these all fit within _PyFastLocalKind, as do combinations. +#define CO_FAST_POSONLY 0x01 +#define CO_FAST_POSORKW 0x02 +#define CO_FAST_VARARGS 0x04 +#define CO_FAST_KWONLY 0x08 +#define CO_FAST_VARKWARGS 0x10 +#define CO_FAST_LOCALONLY 0x20 +#define CO_FAST_CELL 0x40 +#define CO_FAST_FREE 0x80 + +#define CO_FAST_ARG (CO_FAST_POSONLY | CO_FAST_POSORKW | CO_FAST_VARARGS | \ + CO_FAST_KWONLY | CO_FAST_VARKWARGS) +#define CO_FAST_LOCAL (CO_FAST_ARG | CO_FAST_LOCALONLY) +#define CO_FAST_ANY (CO_FAST_LOCAL | CO_FAST_CELL | CO_FAST_FREE) + +typedef _PyFastLocalKind _PyFastLocalKinds[_Py_MAX_OPARG + 1]; + struct _PyCodeConstructor { /* metadata */ PyObject *filename; @@ -42,9 +61,8 @@ struct _PyCodeConstructor { PyObject *names; /* mapping frame offsets to information */ - PyObject *varnames; - PyObject *cellvars; - PyObject *freevars; + PyObject *fastlocalnames; + _PyFastLocalKinds fastlocalkinds; /* args (within varnames) */ int argcount; @@ -56,6 +74,12 @@ struct _PyCodeConstructor { /* used by the eval loop */ PyObject *exceptiontable; + + // Everything else could be computed later from fastlocal*. + // XXX Drop these. + PyObject *varnames; + PyObject *cellvars; + PyObject *freevars; }; // Using an "arguments struct" like this is helpful for maintainability @@ -75,7 +99,6 @@ PyAPI_FUNC(PyCodeObject *) _PyCode_New(struct _PyCodeConstructor *); int _PyCode_InitOpcache(PyCodeObject *co); - #ifdef __cplusplus } #endif diff --git a/Objects/codeobject.c b/Objects/codeobject.c index 75e81821450f52..430b278c700223 100644 --- a/Objects/codeobject.c +++ b/Objects/codeobject.c @@ -164,6 +164,7 @@ _PyCode_Validate(struct _PyCodeConstructor *con) con->code == NULL || !PyBytes_Check(con->code) || con->consts == NULL || !PyTuple_Check(con->consts) || con->names == NULL || !PyTuple_Check(con->names) || + (con->fastlocalnames != NULL && !PyTuple_Check(con->fastlocalnames)) || con->varnames == NULL || !PyTuple_Check(con->varnames) || con->freevars == NULL || !PyTuple_Check(con->freevars) || con->cellvars == NULL || !PyTuple_Check(con->cellvars) || @@ -203,6 +204,11 @@ _PyCode_Validate(struct _PyCodeConstructor *con) static void init_code(PyCodeObject *co, struct _PyCodeConstructor *con) { + int nlocals = (int)PyTuple_GET_SIZE(con->varnames); + int ncellvars = (int)PyTuple_GET_SIZE(con->cellvars); + int nfreevars = (int)PyTuple_GET_SIZE(con->freevars); + int nlocalsplus = nlocals + ncellvars + nfreevars; + Py_INCREF(con->filename); co->co_filename = con->filename; Py_INCREF(con->name); @@ -220,12 +226,9 @@ init_code(PyCodeObject *co, struct _PyCodeConstructor *con) Py_INCREF(con->names); co->co_names = con->names; - Py_INCREF(con->varnames); - co->co_varnames = con->varnames; - Py_INCREF(con->cellvars); - co->co_cellvars = con->cellvars; - Py_INCREF(con->freevars); - co->co_freevars = con->freevars; + Py_INCREF(con->fastlocalnames); + co->co_fastlocalnames = con->fastlocalnames; + memcpy(co->co_fastlocalkinds, con->fastlocalkinds, nlocalsplus); co->co_argcount = con->argcount; co->co_posonlyargcount = con->posonlyargcount; @@ -238,10 +241,16 @@ init_code(PyCodeObject *co, struct _PyCodeConstructor *con) /* derived values */ co->co_cell2arg = NULL; // This will be set soon. - co->co_nlocals = (int)PyTuple_GET_SIZE(con->varnames); - co->co_ncellvars = (int)PyTuple_GET_SIZE(con->cellvars); - co->co_nfreevars = (int)PyTuple_GET_SIZE(con->freevars); - co->co_nlocalsplus = co->co_nlocals + co->co_ncellvars + co->co_nfreevars; + co->co_nlocalsplus = nlocalsplus; + co->co_nlocals = nlocals; + co->co_ncellvars = ncellvars; + co->co_nfreevars = nfreevars; + Py_INCREF(con->varnames); + co->co_varnames = con->varnames; + Py_INCREF(con->cellvars); + co->co_cellvars = con->cellvars; + Py_INCREF(con->freevars); + co->co_freevars = con->freevars; /* not set */ co->co_weakreflist = NULL; @@ -271,6 +280,9 @@ _PyCode_New(struct _PyCodeConstructor *con) if (intern_string_constants(con->consts, NULL) < 0) { return NULL; } + if (intern_strings(con->fastlocalnames) < 0) { + return NULL; + } if (intern_strings(con->varnames) < 0) { return NULL; } @@ -341,6 +353,35 @@ _PyCode_New(struct _PyCodeConstructor *con) * the legacy "constructors" ******************/ +// This is also used in compile.c. +void +set_fastlocal_info(Py_ssize_t offset, PyObject *name, _PyFastLocalKind kind, + PyObject *names, _PyFastLocalKinds kinds) +{ + Py_INCREF(name); + PyTuple_SET_ITEM(names, offset, name); + kinds[offset] = kind; + + if (kind == CO_FAST_CELL) { + // Cells can overlap with args, so mark those cases. + int nlocalsplus = (int)PyTuple_GET_SIZE(names); + for (int i = 0; i < nlocalsplus; i++) { + _PyFastLocalKind kind = kinds[i]; + if (kind && !(kind & CO_FAST_LOCAL)) { + // We've moved past the locals. + break; + } + PyObject *varname = PyTuple_GET_ITEM(names, i); + int cmp = PyUnicode_Compare(name, varname); + if (cmp == 0) { + kinds[i] |= CO_FAST_CELL; + break; + } + assert(cmp > 0 || !PyErr_Occurred()); + } + } +} + PyCodeObject * PyCode_NewWithPosOnlyArgs(int argcount, int posonlyargcount, int kwonlyargcount, int nlocals, int stacksize, int flags, @@ -361,9 +402,7 @@ PyCode_NewWithPosOnlyArgs(int argcount, int posonlyargcount, int kwonlyargcount, .consts = consts, .names = names, - .varnames = varnames, - .cellvars = cellvars, - .freevars = freevars, + // fastlocalnames and fastlocalkinds are set below. .argcount = argcount, .posonlyargcount = posonlyargcount, @@ -372,6 +411,10 @@ PyCode_NewWithPosOnlyArgs(int argcount, int posonlyargcount, int kwonlyargcount, .stacksize = stacksize, .exceptiontable = exceptiontable, + + .varnames = varnames, + .cellvars = cellvars, + .freevars = freevars, }; if (_PyCode_Validate(&con) < 0) { return NULL; @@ -383,7 +426,37 @@ PyCode_NewWithPosOnlyArgs(int argcount, int posonlyargcount, int kwonlyargcount, return NULL; } - return _PyCode_New(&con); + // Set the "fast locals plus" info. + int ncellvars = (int)PyTuple_GET_SIZE(cellvars); + int nfreevars = (int)PyTuple_GET_SIZE(freevars); + int nlocalsplus = nlocals + ncellvars + nfreevars; + con.fastlocalnames = PyTuple_New(nlocalsplus); + if (con.fastlocalnames == NULL) { + return NULL; + } + // con->fastlocalkinds is statically allocated so it's ready to go. + int offset = 0; + for (int i = 0; i < nlocals; i++, offset++) { + PyObject *name = PyTuple_GET_ITEM(varnames, i); + set_fastlocal_info(offset, name, CO_FAST_LOCAL, + con.fastlocalnames, con.fastlocalkinds); + } + for (int i = 0; i < ncellvars; i++, offset++) { + PyObject *name = PyTuple_GET_ITEM(cellvars, i); + set_fastlocal_info(offset, name, CO_FAST_CELL, + con.fastlocalnames, con.fastlocalkinds); + } + for (int i = 0; i < nfreevars; i++, offset++) { + PyObject *name = PyTuple_GET_ITEM(freevars, i); + set_fastlocal_info(offset, name, CO_FAST_FREE, + con.fastlocalnames, con.fastlocalkinds); + } + + PyCodeObject *co = _PyCode_New(&con); + if (co == NULL) { + Py_DECREF(con.fastlocalnames); + } + return co; } PyCodeObject * @@ -434,6 +507,7 @@ PyCode_NewEmpty(const char *filename, const char *funcname, int firstlineno) .linetable = emptystring, .consts = nulltuple, .names = nulltuple, + .fastlocalnames = nulltuple, .varnames = nulltuple, .cellvars = nulltuple, .freevars = nulltuple, @@ -1086,8 +1160,6 @@ code_richcompare(PyObject *self, PyObject *other, int op) if (!eq) goto unequal; eq = co->co_kwonlyargcount == cp->co_kwonlyargcount; if (!eq) goto unequal; - eq = co->co_nlocals == cp->co_nlocals; - if (!eq) goto unequal; eq = co->co_flags == cp->co_flags; if (!eq) goto unequal; eq = co->co_firstlineno == cp->co_firstlineno; @@ -1111,11 +1183,8 @@ code_richcompare(PyObject *self, PyObject *other, int op) eq = PyObject_RichCompareBool(co->co_names, cp->co_names, Py_EQ); if (eq <= 0) goto unequal; - eq = PyObject_RichCompareBool(co->co_varnames, cp->co_varnames, Py_EQ); - if (eq <= 0) goto unequal; - eq = PyObject_RichCompareBool(co->co_freevars, cp->co_freevars, Py_EQ); - if (eq <= 0) goto unequal; - eq = PyObject_RichCompareBool(co->co_cellvars, cp->co_cellvars, Py_EQ); + eq = PyObject_RichCompareBool(co->co_fastlocalnames, + cp->co_fastlocalnames, Py_EQ); if (eq <= 0) goto unequal; if (op == Py_EQ) @@ -1140,7 +1209,7 @@ code_richcompare(PyObject *self, PyObject *other, int op) static Py_hash_t code_hash(PyCodeObject *co) { - Py_hash_t h, h0, h1, h2, h3, h4, h5, h6; + Py_hash_t h, h0, h1, h2, h3, h4; h0 = PyObject_Hash(co->co_name); if (h0 == -1) return -1; h1 = PyObject_Hash(co->co_code); @@ -1149,15 +1218,11 @@ code_hash(PyCodeObject *co) if (h2 == -1) return -1; h3 = PyObject_Hash(co->co_names); if (h3 == -1) return -1; - h4 = PyObject_Hash(co->co_varnames); + h4 = PyObject_Hash(co->co_fastlocalnames); if (h4 == -1) return -1; - h5 = PyObject_Hash(co->co_freevars); - if (h5 == -1) return -1; - h6 = PyObject_Hash(co->co_cellvars); - if (h6 == -1) return -1; - h = h0 ^ h1 ^ h2 ^ h3 ^ h4 ^ h5 ^ h6 ^ + h = h0 ^ h1 ^ h2 ^ h3 ^ h4 ^ co->co_argcount ^ co->co_posonlyargcount ^ co->co_kwonlyargcount ^ - co->co_nlocals ^ co->co_flags; + co->co_flags; if (h == -1) h = -2; return h; } @@ -1204,15 +1269,17 @@ static PyObject * code_sizeof(PyCodeObject *co, PyObject *Py_UNUSED(args)) { Py_ssize_t res = _PyObject_SIZE(Py_TYPE(co)); - _PyCodeObjectExtra *co_extra = (_PyCodeObjectExtra*) co->co_extra; - if (co->co_cell2arg != NULL && co->co_cellvars != NULL) { - res += co->co_ncellvars * sizeof(Py_ssize_t); - } + _PyCodeObjectExtra *co_extra = (_PyCodeObjectExtra*) co->co_extra; if (co_extra != NULL) { res += sizeof(_PyCodeObjectExtra) + (co_extra->ce_size-1) * sizeof(co_extra->ce_extras[0]); } + + if (co->co_cell2arg != NULL && co->co_cellvars != NULL) { + res += co->co_ncellvars * sizeof(Py_ssize_t); + } + if (co->co_opcache != NULL) { assert(co->co_opcache_map != NULL); // co_opcache_map @@ -1220,6 +1287,7 @@ code_sizeof(PyCodeObject *co, PyObject *Py_UNUSED(args)) // co_opcache res += co->co_opcache_size * sizeof(_PyOpcache); } + return PyLong_FromSsize_t(res); } diff --git a/Objects/frameobject.c b/Objects/frameobject.c index 1bfae90b9b2c8c..024a8cf3877953 100644 --- a/Objects/frameobject.c +++ b/Objects/frameobject.c @@ -1065,8 +1065,9 @@ PyFrame_FastToLocalsWithError(PyFrameObject *f) */ if (co->co_flags & CO_OPTIMIZED) { if (map_to_dict(co->co_freevars, co->co_nfreevars, locals, - fast + co->co_nlocals + co->co_ncellvars, 1) < 0) + fast + co->co_nlocals + co->co_ncellvars, 1) < 0) { return -1; + } } } return 0; diff --git a/Python/compile.c b/Python/compile.c index 03d522b34f113b..87a4357502060e 100644 --- a/Python/compile.c +++ b/Python/compile.c @@ -7176,6 +7176,46 @@ merge_const_one(struct compiler *c, PyObject **obj) return 1; } +// This is in codeobject.c. +extern void set_fastlocal_info(Py_ssize_t, PyObject *, _PyFastLocalKind, + PyObject *, _PyFastLocalKinds); + +static void +compute_fastlocals_info(struct compiler *c, + PyObject *names, _PyFastLocalKinds kinds) +{ + Py_ssize_t nlocalsplus = PyTuple_GET_SIZE(names); + + PyObject *k, *v; + Py_ssize_t pos = 0; + while (PyDict_Next(c->u->u_varnames, &pos, &k, &v)) { + Py_ssize_t offset = PyLong_AS_LONG(v); + assert(offset >= 0); + assert(offset < nlocalsplus); + // For now we do not distinguish arg kinds. + set_fastlocal_info(offset, k, CO_FAST_LOCALONLY, names, kinds); + } + Py_ssize_t nlocals = PyDict_GET_SIZE(c->u->u_varnames); + + pos = 0; + while (PyDict_Next(c->u->u_cellvars, &pos, &k, &v)) { + Py_ssize_t offset = PyLong_AS_LONG(v); + assert(offset >= 0); + offset += nlocals; + assert(offset < nlocalsplus); + set_fastlocal_info(offset, k, CO_FAST_CELL, names, kinds); + } + + pos = 0; + while (PyDict_Next(c->u->u_freevars, &pos, &k, &v)) { + Py_ssize_t offset = PyLong_AS_LONG(v); + assert(offset >= 0); + offset += nlocals; + assert(offset < nlocalsplus); + set_fastlocal_info(offset, k, CO_FAST_FREE, names, kinds); + } +} + static PyCodeObject * makecode(struct compiler *c, struct assembler *a, PyObject *constslist, int maxdepth) @@ -7183,6 +7223,7 @@ makecode(struct compiler *c, struct assembler *a, PyObject *constslist, PyCodeObject *co = NULL; PyObject *names = NULL; PyObject *consts = NULL; + PyObject *fastlocalnames = NULL; PyObject *varnames = NULL; PyObject *name = NULL; PyObject *freevars = NULL; @@ -7222,6 +7263,14 @@ makecode(struct compiler *c, struct assembler *a, PyObject *constslist, goto error; } + Py_ssize_t nlocalsplus = PyDict_GET_SIZE(c->u->u_varnames) + + PyDict_GET_SIZE(c->u->u_cellvars) + + PyDict_GET_SIZE(c->u->u_freevars); + fastlocalnames = PyTuple_New(nlocalsplus); + if (fastlocalnames == NULL) { + goto error; + } + posonlyargcount = Py_SAFE_DOWNCAST(c->u->u_posonlyargcount, Py_ssize_t, int); posorkeywordargcount = Py_SAFE_DOWNCAST(c->u->u_argcount, Py_ssize_t, int); kwonlyargcount = Py_SAFE_DOWNCAST(c->u->u_kwonlyargcount, Py_ssize_t, int); @@ -7237,9 +7286,8 @@ makecode(struct compiler *c, struct assembler *a, PyObject *constslist, .consts = consts, .names = names, - .varnames = varnames, - .cellvars = cellvars, - .freevars = freevars, + .fastlocalnames = fastlocalnames, + // fastlocalkinds is statically allocated. .argcount = posonlyargcount + posorkeywordargcount, .posonlyargcount = posonlyargcount, @@ -7248,15 +7296,25 @@ makecode(struct compiler *c, struct assembler *a, PyObject *constslist, .stacksize = maxdepth, .exceptiontable = a->a_except_table, + + .varnames = varnames, + .cellvars = cellvars, + .freevars = freevars, }; if (_PyCode_Validate(&con) < 0) { goto error; } + compute_fastlocals_info(c, con.fastlocalnames, con.fastlocalkinds); + if (!merge_const_one(c, &fastlocalnames)) { + goto error; + } + con.fastlocalnames = fastlocalnames; co = _PyCode_New(&con); error: Py_XDECREF(names); Py_XDECREF(consts); + Py_XDECREF(fastlocalnames); Py_XDECREF(varnames); Py_XDECREF(name); Py_XDECREF(freevars); diff --git a/Python/importlib.h b/Python/importlib.h index 8637b097135ed7..e504d1bbb15d9d 100644 --- a/Python/importlib.h +++ b/Python/importlib.h @@ -59,76 +59,78 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 106,0,6,0,89,0,83,0,37,0,119,0,169,1,78,41, 3,218,12,95,95,113,117,97,108,110,97,109,101,95,95,218, 14,65,116,116,114,105,98,117,116,101,69,114,114,111,114,218, - 4,116,121,112,101,41,1,218,3,111,98,106,169,0,114,5, - 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, - 112,62,218,12,95,111,98,106,101,99,116,95,110,97,109,101, - 23,0,0,0,115,14,0,0,0,2,1,6,1,2,128,12, - 1,14,1,2,128,2,255,115,12,0,0,0,129,2,4,0, - 132,12,18,7,147,1,18,7,114,7,0,0,0,78,99,2, - 0,0,0,0,0,0,0,0,0,0,0,7,0,0,0,67, - 0,0,0,115,56,0,0,0,100,1,68,0,93,16,125,2, - 116,0,124,1,124,2,131,2,114,18,116,1,124,0,124,2, - 116,2,124,1,124,2,131,2,131,3,1,0,113,2,124,0, - 106,3,160,4,124,1,106,3,161,1,1,0,100,2,83,0, - 41,3,122,47,83,105,109,112,108,101,32,115,117,98,115,116, - 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, - 101,114,46,41,4,218,10,95,95,109,111,100,117,108,101,95, - 95,218,8,95,95,110,97,109,101,95,95,114,1,0,0,0, - 218,7,95,95,100,111,99,95,95,78,41,5,218,7,104,97, - 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, - 90,3,111,108,100,218,7,114,101,112,108,97,99,101,114,5, - 0,0,0,114,5,0,0,0,114,6,0,0,0,218,5,95, - 119,114,97,112,40,0,0,0,115,10,0,0,0,8,2,10, - 1,18,1,2,128,18,1,243,0,0,0,0,114,17,0,0, - 0,99,1,0,0,0,0,0,0,0,0,0,0,0,2,0, - 0,0,67,0,0,0,115,12,0,0,0,116,0,116,1,131, - 1,124,0,131,1,83,0,114,0,0,0,0,41,2,114,3, - 0,0,0,218,3,115,121,115,169,1,218,4,110,97,109,101, - 114,5,0,0,0,114,5,0,0,0,114,6,0,0,0,218, - 11,95,110,101,119,95,109,111,100,117,108,101,48,0,0,0, - 115,2,0,0,0,12,1,114,18,0,0,0,114,22,0,0, - 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, - 108,111,99,107,69,114,114,111,114,78,41,3,114,9,0,0, - 0,114,8,0,0,0,114,1,0,0,0,114,5,0,0,0, - 114,5,0,0,0,114,5,0,0,0,114,6,0,0,0,114, - 23,0,0,0,61,0,0,0,115,4,0,0,0,8,0,4, - 1,114,18,0,0,0,114,23,0,0,0,99,0,0,0,0, - 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, - 0,0,0,0,2,0,0,0,67,0,0,0,115,48,0,0, - 0,116,0,160,1,161,0,124,0,95,2,116,0,160,1,161, - 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, - 0,169,2,78,233,0,0,0,0,41,8,218,7,95,116,104, - 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, - 112,114,21,0,0,0,218,5,111,119,110,101,114,218,5,99, - 111,117,110,116,218,7,119,97,105,116,101,114,115,169,2,218, - 4,115,101,108,102,114,21,0,0,0,114,5,0,0,0,114, - 5,0,0,0,114,6,0,0,0,218,8,95,95,105,110,105, + 4,116,121,112,101,169,1,218,3,111,98,106,32,114,4,0, + 0,0,169,0,114,6,0,0,0,250,29,60,102,114,111,122, + 101,110,32,105,109,112,111,114,116,108,105,98,46,95,98,111, + 111,116,115,116,114,97,112,62,218,12,95,111,98,106,101,99, + 116,95,110,97,109,101,23,0,0,0,115,14,0,0,0,2, + 1,6,1,2,128,12,1,14,1,2,128,2,255,115,12,0, + 0,0,129,2,4,0,132,12,18,7,147,1,18,7,114,8, + 0,0,0,78,99,2,0,0,0,0,0,0,0,0,0,0, + 0,7,0,0,0,67,0,0,0,115,56,0,0,0,100,1, + 68,0,93,16,125,2,116,0,124,1,124,2,131,2,114,18, + 116,1,124,0,124,2,116,2,124,1,124,2,131,2,131,3, + 1,0,113,2,124,0,106,3,160,4,124,1,106,3,161,1, + 1,0,100,2,83,0,41,3,122,47,83,105,109,112,108,101, + 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, + 95,119,114,97,112,112,101,114,46,41,4,218,10,95,95,109, + 111,100,117,108,101,95,95,218,8,95,95,110,97,109,101,95, + 95,114,1,0,0,0,218,7,95,95,100,111,99,95,95,78, + 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, + 95,100,105,99,116,95,95,218,6,117,112,100,97,116,101,169, + 3,90,3,110,101,119,90,3,111,108,100,218,7,114,101,112, + 108,97,99,101,32,32,32,114,17,0,0,0,114,6,0,0, + 0,114,6,0,0,0,114,7,0,0,0,218,5,95,119,114, + 97,112,40,0,0,0,115,10,0,0,0,8,2,10,1,18, + 1,2,128,18,1,243,0,0,0,0,114,19,0,0,0,99, + 1,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0, + 67,0,0,0,115,12,0,0,0,116,0,116,1,131,1,124, + 0,131,1,83,0,114,0,0,0,0,41,2,114,3,0,0, + 0,218,3,115,121,115,169,1,218,4,110,97,109,101,32,114, + 22,0,0,0,114,6,0,0,0,114,6,0,0,0,114,7, + 0,0,0,218,11,95,110,101,119,95,109,111,100,117,108,101, + 48,0,0,0,115,2,0,0,0,12,1,114,20,0,0,0, + 114,24,0,0,0,99,0,0,0,0,0,0,0,0,0,0, + 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, + 114,10,0,0,0,114,9,0,0,0,114,1,0,0,0,114, + 6,0,0,0,114,6,0,0,0,114,6,0,0,0,114,6, + 0,0,0,114,7,0,0,0,114,25,0,0,0,61,0,0, + 0,115,4,0,0,0,8,0,4,1,114,20,0,0,0,114, + 25,0,0,0,99,0,0,0,0,0,0,0,0,0,0,0, + 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, + 99,2,0,0,0,0,0,0,0,0,0,0,0,2,0,0, + 0,67,0,0,0,115,48,0,0,0,116,0,160,1,161,0, + 124,0,95,2,116,0,160,1,161,0,124,0,95,3,124,1, + 124,0,95,4,100,0,124,0,95,5,100,1,124,0,95,6, + 100,1,124,0,95,7,100,0,83,0,169,2,78,233,0,0, + 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, + 99,107,218,6,119,97,107,101,117,112,114,23,0,0,0,218, + 5,111,119,110,101,114,218,5,99,111,117,110,116,218,7,119, + 97,105,116,101,114,115,169,2,218,4,115,101,108,102,114,23, + 0,0,0,32,32,114,35,0,0,0,114,6,0,0,0,114, + 6,0,0,0,114,7,0,0,0,218,8,95,95,105,110,105, 116,95,95,71,0,0,0,115,12,0,0,0,10,1,10,1, - 6,1,6,1,6,1,10,1,114,18,0,0,0,122,20,95, + 6,1,6,1,6,1,10,1,114,20,0,0,0,122,20,95, 77,111,100,117,108,101,76,111,99,107,46,95,95,105,110,105, 116,95,95,99,1,0,0,0,0,0,0,0,0,0,0,0, 3,0,0,0,67,0,0,0,115,86,0,0,0,116,0,160, @@ -137,717 +139,736 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 0,117,0,114,22,100,2,83,0,124,4,106,2,125,2,124, 2,124,1,107,2,114,31,100,1,83,0,124,2,124,3,118, 0,114,37,100,2,83,0,124,3,160,6,124,2,161,1,1, - 0,113,11,41,3,78,84,70,41,7,114,27,0,0,0,218, - 9,103,101,116,95,105,100,101,110,116,114,30,0,0,0,218, + 0,113,11,41,3,78,84,70,41,7,114,29,0,0,0,218, + 9,103,101,116,95,105,100,101,110,116,114,32,0,0,0,218, 3,115,101,116,218,12,95,98,108,111,99,107,105,110,103,95, - 111,110,218,3,103,101,116,218,3,97,100,100,41,5,114,34, + 111,110,218,3,103,101,116,218,3,97,100,100,169,5,114,36, 0,0,0,90,2,109,101,218,3,116,105,100,90,4,115,101, - 101,110,114,28,0,0,0,114,5,0,0,0,114,5,0,0, - 0,114,6,0,0,0,218,12,104,97,115,95,100,101,97,100, - 108,111,99,107,79,0,0,0,115,28,0,0,0,8,2,6, - 1,6,1,2,1,10,1,8,1,4,1,6,1,8,1,4, - 1,8,1,4,6,10,1,2,242,114,18,0,0,0,122,24, - 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, - 0,0,0,0,0,9,0,0,0,67,0,0,0,115,204,0, - 0,0,116,0,160,1,161,0,125,1,124,0,116,2,124,1, - 60,0,9,0,9,0,124,0,106,3,53,0,1,0,124,0, - 106,4,100,2,107,2,115,24,124,0,106,5,124,1,107,2, - 114,45,124,1,124,0,95,5,124,0,4,0,106,4,100,3, - 55,0,2,0,95,4,9,0,100,4,4,0,4,0,131,3, - 1,0,116,2,124,1,61,0,100,1,83,0,124,0,160,6, - 161,0,114,55,116,7,100,5,124,0,22,0,131,1,130,1, - 124,0,106,8,160,9,100,6,161,1,114,68,124,0,4,0, - 106,10,100,3,55,0,2,0,95,10,100,4,4,0,4,0, - 131,3,1,0,110,11,35,0,49,0,115,79,119,4,37,0, - 1,0,1,0,1,0,89,0,1,0,1,0,124,0,106,8, - 160,9,161,0,1,0,124,0,106,8,160,11,161,0,1,0, - 113,10,35,0,116,2,124,1,61,0,119,0,37,0,41,7, - 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, - 100,46,10,32,32,32,32,32,32,32,32,84,114,26,0,0, - 0,233,1,0,0,0,78,122,23,100,101,97,100,108,111,99, - 107,32,100,101,116,101,99,116,101,100,32,98,121,32,37,114, - 70,41,12,114,27,0,0,0,114,36,0,0,0,114,38,0, - 0,0,114,28,0,0,0,114,31,0,0,0,114,30,0,0, - 0,114,42,0,0,0,114,23,0,0,0,114,29,0,0,0, - 218,7,97,99,113,117,105,114,101,114,32,0,0,0,218,7, - 114,101,108,101,97,115,101,169,2,114,34,0,0,0,114,41, - 0,0,0,114,5,0,0,0,114,5,0,0,0,114,6,0, - 0,0,114,44,0,0,0,100,0,0,0,115,44,0,0,0, - 8,6,8,1,2,1,2,1,8,1,20,1,6,1,14,1, - 2,1,10,252,10,13,8,248,12,1,12,1,14,1,12,248, - 22,128,10,10,10,1,2,244,2,128,10,14,115,56,0,0, - 0,137,4,65,32,0,141,22,65,10,3,163,5,65,32,0, - 173,23,65,10,3,193,4,6,65,32,0,193,10,4,65,14, - 11,193,14,1,65,32,0,193,15,3,65,14,11,193,18,14, - 65,32,0,193,32,5,65,37,7,122,19,95,77,111,100,117, - 108,101,76,111,99,107,46,97,99,113,117,105,114,101,99,1, - 0,0,0,0,0,0,0,0,0,0,0,9,0,0,0,67, - 0,0,0,115,148,0,0,0,116,0,160,1,161,0,125,1, - 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3,14,1,114,18,0,0,0,114,126,0,0,0,169,2,114, - 127,0,0,0,114,129,0,0,0,99,2,0,0,0,0,0, - 0,0,2,0,0,0,8,0,0,0,67,0,0,0,115,152, - 0,0,0,116,0,124,1,100,1,131,2,114,37,116,1,100, - 2,117,0,114,11,116,2,130,1,116,1,106,3,125,4,124, - 3,100,2,117,0,114,24,124,4,124,0,124,1,100,3,141, - 2,83,0,124,3,114,28,103,0,110,1,100,2,125,5,124, - 4,124,0,124,1,124,5,100,4,141,3,83,0,124,3,100, - 2,117,0,114,67,116,0,124,1,100,5,131,2,114,65,9, - 0,124,1,160,4,124,0,161,1,125,3,110,14,35,0,4, - 0,116,5,121,75,1,0,1,0,1,0,100,2,125,3,89, - 0,110,3,37,0,100,6,125,3,116,6,124,0,124,1,124, - 2,124,3,100,7,141,4,83,0,119,0,41,8,122,53,82, - 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, - 109,101,78,41,1,114,123,0,0,0,41,2,114,123,0,0, - 0,114,130,0,0,0,114,129,0,0,0,70,114,149,0,0, - 0,41,7,114,11,0,0,0,114,140,0,0,0,114,141,0, - 0,0,218,23,115,112,101,99,95,102,114,111,109,95,102,105, - 108,101,95,108,111,99,97,116,105,111,110,114,129,0,0,0, - 114,88,0,0,0,114,126,0,0,0,41,6,114,21,0,0, - 0,114,123,0,0,0,114,127,0,0,0,114,129,0,0,0, - 114,150,0,0,0,90,6,115,101,97,114,99,104,114,5,0, - 0,0,114,5,0,0,0,114,6,0,0,0,114,105,0,0, - 0,165,1,0,0,115,42,0,0,0,10,2,8,1,4,1, - 6,1,8,2,12,1,12,1,6,1,2,1,6,255,8,3, - 10,1,2,1,12,1,2,128,12,1,8,1,2,128,4,3, - 16,2,2,250,115,15,0,0,0,175,5,53,0,181,9,65, - 0,7,193,11,1,65,0,7,114,105,0,0,0,99,3,0, - 0,0,0,0,0,0,0,0,0,0,8,0,0,0,67,0, - 0,0,115,50,1,0,0,9,0,124,0,106,0,125,3,110, - 10,35,0,4,0,116,1,121,152,1,0,1,0,1,0,89, - 0,110,7,37,0,124,3,100,0,117,1,114,21,124,3,83, - 0,124,0,106,2,125,4,124,1,100,0,117,0,114,43,9, - 0,124,0,106,3,125,1,110,10,35,0,4,0,116,1,121, - 151,1,0,1,0,1,0,89,0,110,1,37,0,9,0,124, - 0,106,4,125,5,110,12,35,0,4,0,116,1,121,150,1, - 0,1,0,1,0,100,0,125,5,89,0,110,1,37,0,124, - 2,100,0,117,0,114,87,124,5,100,0,117,0,114,85,9, - 0,124,1,106,5,125,2,110,14,35,0,4,0,116,1,121, - 149,1,0,1,0,1,0,100,0,125,2,89,0,110,3,37, - 0,124,5,125,2,9,0,124,0,106,6,125,6,110,12,35, - 0,4,0,116,1,121,148,1,0,1,0,1,0,100,0,125, - 6,89,0,110,1,37,0,9,0,116,7,124,0,106,8,131, - 1,125,7,110,12,35,0,4,0,116,1,121,147,1,0,1, - 0,1,0,100,0,125,7,89,0,110,1,37,0,116,9,124, - 4,124,1,124,2,100,1,141,3,125,3,124,5,100,0,117, - 0,114,136,100,2,110,1,100,3,124,3,95,10,124,6,124, - 3,95,11,124,7,124,3,95,12,124,3,83,0,119,0,119, - 0,119,0,119,0,119,0,119,0,41,4,78,169,1,114,127, - 0,0,0,70,84,41,13,114,114,0,0,0,114,2,0,0, - 0,114,9,0,0,0,114,113,0,0,0,114,122,0,0,0, - 218,7,95,79,82,73,71,73,78,218,10,95,95,99,97,99, - 104,101,100,95,95,218,4,108,105,115,116,218,8,95,95,112, - 97,116,104,95,95,114,126,0,0,0,114,131,0,0,0,114, - 136,0,0,0,114,130,0,0,0,41,8,114,111,0,0,0, - 114,123,0,0,0,114,127,0,0,0,114,110,0,0,0,114, - 21,0,0,0,90,8,108,111,99,97,116,105,111,110,114,136, - 0,0,0,114,130,0,0,0,114,5,0,0,0,114,5,0, - 0,0,114,6,0,0,0,218,17,95,115,112,101,99,95,102, + 28,0,0,0,41,3,114,142,0,0,0,114,23,0,0,0, + 218,10,114,112,97,114,116,105,116,105,111,110,114,56,0,0, + 0,32,114,56,0,0,0,114,6,0,0,0,114,6,0,0, + 0,114,7,0,0,0,218,6,112,97,114,101,110,116,148,1, + 0,0,115,6,0,0,0,10,3,16,1,6,2,114,20,0, + 0,0,122,17,77,111,100,117,108,101,83,112,101,99,46,112, + 97,114,101,110,116,99,1,0,0,0,0,0,0,0,0,0, + 0,0,1,0,0,0,67,0,0,0,115,6,0,0,0,124, + 0,106,0,83,0,114,0,0,0,0,41,1,114,143,0,0, + 0,114,56,0,0,0,32,114,56,0,0,0,114,6,0,0, + 0,114,6,0,0,0,114,7,0,0,0,114,151,0,0,0, + 156,1,0,0,115,2,0,0,0,6,2,114,20,0,0,0, + 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, + 0,0,0,0,0,0,2,0,0,0,67,0,0,0,115,14, + 0,0,0,116,0,124,1,131,1,124,0,95,1,100,0,83, + 0,114,0,0,0,0,41,2,218,4,98,111,111,108,114,143, + 0,0,0,169,2,114,36,0,0,0,218,5,118,97,108,117, + 101,32,32,114,162,0,0,0,114,6,0,0,0,114,6,0, + 0,0,114,7,0,0,0,114,151,0,0,0,160,1,0,0, + 115,2,0,0,0,14,2,114,20,0,0,0,41,12,114,10, + 0,0,0,114,9,0,0,0,114,1,0,0,0,114,11,0, + 0,0,114,37,0,0,0,114,57,0,0,0,114,154,0,0, + 0,218,8,112,114,111,112,101,114,116,121,114,150,0,0,0, + 218,6,115,101,116,116,101,114,114,160,0,0,0,114,151,0, + 0,0,114,6,0,0,0,114,6,0,0,0,114,6,0,0, + 0,114,6,0,0,0,114,7,0,0,0,114,138,0,0,0, + 64,1,0,0,115,34,0,0,0,8,0,4,1,4,36,2, + 1,12,255,8,12,8,10,2,12,10,1,4,8,10,1,2, + 3,10,1,2,7,10,1,4,3,14,1,114,20,0,0,0, + 114,138,0,0,0,169,2,114,139,0,0,0,114,141,0,0, + 0,99,2,0,0,0,0,0,0,0,2,0,0,0,8,0, + 0,0,67,0,0,0,115,152,0,0,0,116,0,124,1,100, + 1,131,2,114,37,116,1,100,2,117,0,114,11,116,2,130, + 1,116,1,106,3,125,4,124,3,100,2,117,0,114,24,124, + 4,124,0,124,1,100,3,141,2,83,0,124,3,114,28,103, + 0,110,1,100,2,125,5,124,4,124,0,124,1,124,5,100, + 4,141,3,83,0,124,3,100,2,117,0,114,67,116,0,124, + 1,100,5,131,2,114,65,9,0,124,1,160,4,124,0,161, + 1,125,3,110,14,35,0,4,0,116,5,121,75,1,0,1, + 0,1,0,100,2,125,3,89,0,110,3,37,0,100,6,125, + 3,116,6,124,0,124,1,124,2,124,3,100,7,141,4,83, + 0,119,0,41,8,122,53,82,101,116,117,114,110,32,97,32, + 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, + 116,95,102,105,108,101,110,97,109,101,78,41,1,114,135,0, + 0,0,41,2,114,135,0,0,0,114,142,0,0,0,114,141, + 0,0,0,70,114,166,0,0,0,41,7,114,12,0,0,0, + 114,155,0,0,0,114,156,0,0,0,218,23,115,112,101,99, + 95,102,114,111,109,95,102,105,108,101,95,108,111,99,97,116, + 105,111,110,114,141,0,0,0,114,97,0,0,0,114,138,0, + 0,0,169,6,114,23,0,0,0,114,135,0,0,0,114,139, + 0,0,0,114,141,0,0,0,114,167,0,0,0,90,6,115, + 101,97,114,99,104,32,32,32,32,32,32,114,168,0,0,0, + 114,6,0,0,0,114,6,0,0,0,114,7,0,0,0,114, + 115,0,0,0,165,1,0,0,115,42,0,0,0,10,2,8, + 1,4,1,6,1,8,2,12,1,12,1,6,1,2,1,6, + 255,8,3,10,1,2,1,12,1,2,128,12,1,8,1,2, + 128,4,3,16,2,2,250,115,15,0,0,0,175,5,53,0, + 181,9,65,0,7,193,11,1,65,0,7,114,115,0,0,0, + 99,3,0,0,0,0,0,0,0,0,0,0,0,8,0,0, + 0,67,0,0,0,115,50,1,0,0,9,0,124,0,106,0, + 125,3,110,10,35,0,4,0,116,1,121,152,1,0,1,0, + 1,0,89,0,110,7,37,0,124,3,100,0,117,1,114,21, + 124,3,83,0,124,0,106,2,125,4,124,1,100,0,117,0, + 114,43,9,0,124,0,106,3,125,1,110,10,35,0,4,0, + 116,1,121,151,1,0,1,0,1,0,89,0,110,1,37,0, + 9,0,124,0,106,4,125,5,110,12,35,0,4,0,116,1, + 121,150,1,0,1,0,1,0,100,0,125,5,89,0,110,1, + 37,0,124,2,100,0,117,0,114,87,124,5,100,0,117,0, + 114,85,9,0,124,1,106,5,125,2,110,14,35,0,4,0, + 116,1,121,149,1,0,1,0,1,0,100,0,125,2,89,0, + 110,3,37,0,124,5,125,2,9,0,124,0,106,6,125,6, + 110,12,35,0,4,0,116,1,121,148,1,0,1,0,1,0, + 100,0,125,6,89,0,110,1,37,0,9,0,116,7,124,0, + 106,8,131,1,125,7,110,12,35,0,4,0,116,1,121,147, + 1,0,1,0,1,0,100,0,125,7,89,0,110,1,37,0, + 116,9,124,4,124,1,124,2,100,1,141,3,125,3,124,5, + 100,0,117,0,114,136,100,2,110,1,100,3,124,3,95,10, + 124,6,124,3,95,11,124,7,124,3,95,12,124,3,83,0, + 119,0,119,0,119,0,119,0,119,0,119,0,41,4,78,169, + 1,114,139,0,0,0,70,84,41,13,114,125,0,0,0,114, + 2,0,0,0,114,10,0,0,0,114,124,0,0,0,114,133, + 0,0,0,218,7,95,79,82,73,71,73,78,218,10,95,95, + 99,97,99,104,101,100,95,95,218,4,108,105,115,116,218,8, + 95,95,112,97,116,104,95,95,114,138,0,0,0,114,143,0, + 0,0,114,150,0,0,0,114,142,0,0,0,169,8,114,122, + 0,0,0,114,135,0,0,0,114,139,0,0,0,114,121,0, + 0,0,114,23,0,0,0,90,8,108,111,99,97,116,105,111, + 110,114,150,0,0,0,114,142,0,0,0,32,32,32,32,32, + 32,32,32,114,174,0,0,0,114,6,0,0,0,114,6,0, + 0,0,114,7,0,0,0,218,17,95,115,112,101,99,95,102, 114,111,109,95,109,111,100,117,108,101,191,1,0,0,115,108, 0,0,0,2,2,8,1,2,128,12,1,4,1,2,128,8, 2,4,1,6,2,8,1,2,1,8,1,2,128,12,1,4, @@ -862,7 +883,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 9,65,39,7,193,41,5,65,47,0,193,47,9,65,58,7, 194,19,1,65,58,7,194,20,1,65,39,7,194,21,1,65, 20,7,194,22,1,59,7,194,23,1,42,7,194,24,1,14, - 7,114,156,0,0,0,70,169,1,218,8,111,118,101,114,114, + 7,114,175,0,0,0,70,169,1,218,8,111,118,101,114,114, 105,100,101,99,2,0,0,0,0,0,0,0,1,0,0,0, 8,0,0,0,67,0,0,0,115,204,1,0,0,124,2,115, 10,116,0,124,1,100,1,100,0,131,3,100,0,117,0,114, @@ -893,196 +914,199 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 1,114,221,9,0,124,0,106,19,124,1,95,20,124,1,83, 0,35,0,4,0,116,3,121,223,1,0,1,0,1,0,89, 0,124,1,83,0,37,0,124,1,83,0,119,0,119,0,119, - 0,119,0,119,0,119,0,119,0,41,7,78,114,9,0,0, - 0,114,113,0,0,0,218,11,95,95,112,97,99,107,97,103, - 101,95,95,114,155,0,0,0,114,122,0,0,0,114,153,0, - 0,0,41,21,114,13,0,0,0,114,21,0,0,0,114,9, - 0,0,0,114,2,0,0,0,114,123,0,0,0,114,130,0, - 0,0,114,140,0,0,0,114,141,0,0,0,218,16,95,78, + 0,119,0,119,0,119,0,119,0,41,7,78,114,10,0,0, + 0,114,124,0,0,0,218,11,95,95,112,97,99,107,97,103, + 101,95,95,114,173,0,0,0,114,133,0,0,0,114,171,0, + 0,0,41,21,114,14,0,0,0,114,23,0,0,0,114,10, + 0,0,0,114,2,0,0,0,114,135,0,0,0,114,142,0, + 0,0,114,155,0,0,0,114,156,0,0,0,218,16,95,78, 97,109,101,115,112,97,99,101,76,111,97,100,101,114,218,7, - 95,95,110,101,119,95,95,90,5,95,112,97,116,104,114,122, - 0,0,0,114,113,0,0,0,114,144,0,0,0,114,159,0, - 0,0,114,114,0,0,0,114,155,0,0,0,114,137,0,0, - 0,114,127,0,0,0,114,136,0,0,0,114,153,0,0,0, - 41,5,114,110,0,0,0,114,111,0,0,0,114,158,0,0, - 0,114,123,0,0,0,114,160,0,0,0,114,5,0,0,0, - 114,5,0,0,0,114,6,0,0,0,218,18,95,105,110,105, - 116,95,109,111,100,117,108,101,95,97,116,116,114,115,236,1, - 0,0,115,142,0,0,0,20,4,2,1,10,1,2,128,12, - 1,4,1,2,128,20,2,6,1,8,1,10,2,8,1,4, - 1,6,1,10,2,8,1,6,1,6,11,2,1,8,1,2, - 128,12,1,4,1,2,128,20,2,2,1,10,1,2,128,12, - 1,4,1,2,128,2,2,8,1,2,128,12,1,4,1,2, - 128,20,2,10,1,2,1,10,1,2,128,12,1,4,1,2, - 128,6,2,20,1,2,1,10,1,2,128,12,1,4,1,2, - 128,20,2,10,1,2,1,8,1,4,3,2,128,12,254,2, - 1,4,1,2,128,4,0,2,254,2,249,2,249,2,249,2, - 251,2,250,2,228,115,121,0,0,0,139,4,16,0,144,7, - 25,7,193,9,3,65,13,0,193,13,7,65,22,7,193,34, - 4,65,39,0,193,39,7,65,48,7,193,50,3,65,54,0, - 193,54,7,65,63,7,194,16,4,66,21,0,194,21,7,66, - 30,7,194,45,4,66,50,0,194,50,7,66,59,7,195,12, - 4,67,18,0,195,18,7,67,28,7,195,31,1,67,28,7, - 195,32,1,66,59,7,195,33,1,66,30,7,195,34,1,65, - 63,7,195,35,1,65,48,7,195,36,1,65,22,7,195,37, - 1,25,7,114,162,0,0,0,99,1,0,0,0,0,0,0, - 0,0,0,0,0,3,0,0,0,67,0,0,0,115,82,0, - 0,0,100,1,125,1,116,0,124,0,106,1,100,2,131,2, - 114,15,124,0,106,1,160,2,124,0,161,1,125,1,110,10, - 116,0,124,0,106,1,100,3,131,2,114,25,116,3,100,4, - 131,1,130,1,124,1,100,1,117,0,114,34,116,4,124,0, - 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, - 108,101,40,41,41,7,114,11,0,0,0,114,123,0,0,0, - 114,163,0,0,0,114,88,0,0,0,114,22,0,0,0,114, - 21,0,0,0,114,162,0,0,0,169,2,114,110,0,0,0, - 114,111,0,0,0,114,5,0,0,0,114,5,0,0,0,114, - 6,0,0,0,218,16,109,111,100,117,108,101,95,102,114,111, - 109,95,115,112,101,99,52,2,0,0,115,18,0,0,0,4, - 3,12,1,14,3,12,1,8,1,8,2,10,1,10,1,4, - 1,114,18,0,0,0,114,166,0,0,0,99,1,0,0,0, - 0,0,0,0,0,0,0,0,4,0,0,0,67,0,0,0, - 115,100,0,0,0,124,0,106,0,100,1,117,0,114,7,100, - 2,110,2,124,0,106,0,125,1,124,0,106,1,100,1,117, - 0,114,32,124,0,106,2,100,1,117,0,114,25,100,3,160, - 3,124,1,161,1,83,0,100,4,160,3,124,1,124,0,106, - 2,161,2,83,0,124,0,106,4,114,42,100,5,160,3,124, - 1,124,0,106,1,161,2,83,0,100,6,160,3,124,0,106, - 0,124,0,106,1,161,2,83,0,41,7,122,38,82,101,116, - 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, - 108,101,46,78,114,116,0,0,0,114,117,0,0,0,114,118, - 0,0,0,114,119,0,0,0,250,18,60,109,111,100,117,108, - 101,32,123,33,114,125,32,40,123,125,41,62,41,5,114,21, - 0,0,0,114,127,0,0,0,114,123,0,0,0,114,51,0, - 0,0,114,137,0,0,0,41,2,114,110,0,0,0,114,21, - 0,0,0,114,5,0,0,0,114,5,0,0,0,114,6,0, - 0,0,114,120,0,0,0,69,2,0,0,115,16,0,0,0, - 20,3,10,1,10,1,10,1,14,2,6,2,14,1,16,2, - 114,18,0,0,0,114,120,0,0,0,99,2,0,0,0,0, - 0,0,0,0,0,0,0,10,0,0,0,67,0,0,0,115, - 32,1,0,0,124,0,106,0,125,2,116,1,124,2,131,1, - 53,0,1,0,116,2,106,3,160,4,124,2,161,1,124,1, - 117,1,114,27,100,1,160,5,124,2,161,1,125,3,116,6, - 124,3,124,2,100,2,141,2,130,1,9,0,124,0,106,7, - 100,3,117,0,114,53,124,0,106,8,100,3,117,0,114,45, - 116,6,100,4,124,0,106,0,100,2,141,2,130,1,116,9, - 124,0,124,1,100,5,100,6,141,3,1,0,110,40,116,9, - 124,0,124,1,100,5,100,6,141,3,1,0,116,10,124,0, - 106,7,100,7,131,2,115,87,116,11,124,0,106,7,131,1, - 155,0,100,8,157,2,125,3,116,12,160,13,124,3,116,14, - 161,2,1,0,124,0,106,7,160,15,124,2,161,1,1,0, - 110,6,124,0,106,7,160,16,124,1,161,1,1,0,116,2, - 106,3,160,17,124,0,106,0,161,1,125,1,124,1,116,2, - 106,3,124,0,106,0,60,0,110,16,35,0,116,2,106,3, - 160,17,124,0,106,0,161,1,125,1,124,1,116,2,106,3, - 124,0,106,0,60,0,119,0,37,0,9,0,100,3,4,0, - 4,0,131,3,1,0,124,1,83,0,35,0,49,0,115,136, - 119,4,37,0,1,0,1,0,1,0,89,0,1,0,1,0, - 124,1,83,0,41,9,122,70,69,120,101,99,117,116,101,32, - 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, - 105,110,32,115,121,115,46,109,111,100,117,108,101,115,114,20, - 0,0,0,78,250,14,109,105,115,115,105,110,103,32,108,111, - 97,100,101,114,84,114,157,0,0,0,114,164,0,0,0,250, - 55,46,101,120,101,99,95,109,111,100,117,108,101,40,41,32, - 110,111,116,32,102,111,117,110,100,59,32,102,97,108,108,105, - 110,103,32,98,97,99,107,32,116,111,32,108,111,97,100,95, - 109,111,100,117,108,101,40,41,41,18,114,21,0,0,0,114, - 58,0,0,0,114,19,0,0,0,114,106,0,0,0,114,39, - 0,0,0,114,51,0,0,0,114,88,0,0,0,114,123,0, - 0,0,114,130,0,0,0,114,162,0,0,0,114,11,0,0, - 0,114,7,0,0,0,114,102,0,0,0,114,103,0,0,0, - 218,13,73,109,112,111,114,116,87,97,114,110,105,110,103,218, - 11,108,111,97,100,95,109,111,100,117,108,101,114,164,0,0, - 0,218,3,112,111,112,41,4,114,110,0,0,0,114,111,0, - 0,0,114,21,0,0,0,114,109,0,0,0,114,5,0,0, - 0,114,5,0,0,0,114,6,0,0,0,114,107,0,0,0, - 86,2,0,0,115,50,0,0,0,6,2,10,1,16,1,10, - 1,12,1,2,1,10,1,10,1,14,1,16,2,14,2,12, - 1,16,1,12,2,14,1,12,2,14,4,14,1,2,128,14, - 255,18,1,10,233,4,24,22,128,4,0,115,41,0,0,0, - 135,20,66,3,3,156,65,1,65,43,2,193,29,14,66,3, - 3,193,43,15,65,58,9,193,58,1,66,3,3,194,3,4, - 66,7,11,194,8,3,66,7,11,114,107,0,0,0,99,1, - 0,0,0,0,0,0,0,0,0,0,0,8,0,0,0,67, - 0,0,0,115,22,1,0,0,9,0,124,0,106,0,160,1, - 124,0,106,2,161,1,1,0,110,25,35,0,1,0,1,0, - 1,0,124,0,106,2,116,3,106,4,118,0,114,32,116,3, - 106,4,160,5,124,0,106,2,161,1,125,1,124,1,116,3, - 106,4,124,0,106,2,60,0,130,0,37,0,116,3,106,4, - 160,5,124,0,106,2,161,1,125,1,124,1,116,3,106,4, - 124,0,106,2,60,0,116,6,124,1,100,1,100,0,131,3, - 100,0,117,0,114,71,9,0,124,0,106,0,124,1,95,7, - 110,10,35,0,4,0,116,8,121,138,1,0,1,0,1,0, - 89,0,110,1,37,0,116,6,124,1,100,2,100,0,131,3, - 100,0,117,0,114,109,9,0,124,1,106,9,124,1,95,10, - 116,11,124,1,100,3,131,2,115,98,124,0,106,2,160,12, - 100,4,161,1,100,5,25,0,124,1,95,10,110,10,35,0, - 4,0,116,8,121,137,1,0,1,0,1,0,89,0,110,1, - 37,0,116,6,124,1,100,6,100,0,131,3,100,0,117,0, - 114,134,9,0,124,0,124,1,95,13,124,1,83,0,35,0, - 4,0,116,8,121,136,1,0,1,0,1,0,89,0,124,1, - 83,0,37,0,124,1,83,0,119,0,119,0,119,0,41,7, - 78,114,113,0,0,0,114,159,0,0,0,114,155,0,0,0, - 114,142,0,0,0,114,26,0,0,0,114,114,0,0,0,41, - 14,114,123,0,0,0,114,171,0,0,0,114,21,0,0,0, - 114,19,0,0,0,114,106,0,0,0,114,172,0,0,0,114, - 13,0,0,0,114,113,0,0,0,114,2,0,0,0,114,9, - 0,0,0,114,159,0,0,0,114,11,0,0,0,114,143,0, - 0,0,114,114,0,0,0,114,165,0,0,0,114,5,0,0, - 0,114,5,0,0,0,114,6,0,0,0,218,25,95,108,111, - 97,100,95,98,97,99,107,119,97,114,100,95,99,111,109,112, - 97,116,105,98,108,101,116,2,0,0,115,80,0,0,0,2, - 3,16,1,2,128,6,1,12,1,14,1,12,1,2,1,2, - 128,14,3,12,1,16,1,2,1,10,1,2,128,12,1,4, - 1,2,128,16,1,2,1,8,4,10,1,18,1,4,128,12, - 1,4,1,2,128,16,1,2,1,6,1,4,3,2,128,12, - 254,2,1,4,1,2,128,4,0,2,254,2,251,2,246,115, - 59,0,0,0,129,7,9,0,137,24,33,7,184,4,61,0, - 189,7,65,6,7,193,16,18,65,35,0,193,35,7,65,44, - 7,193,54,3,65,59,0,193,59,7,66,5,7,194,8,1, - 66,5,7,194,9,1,65,44,7,194,10,1,65,6,7,114, - 173,0,0,0,99,1,0,0,0,0,0,0,0,0,0,0, - 0,11,0,0,0,67,0,0,0,115,248,0,0,0,124,0, - 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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, + 114,12,0,0,0,114,135,0,0,0,114,183,0,0,0,114, + 97,0,0,0,114,24,0,0,0,114,23,0,0,0,114,182, + 0,0,0,169,2,114,121,0,0,0,114,122,0,0,0,32, + 32,114,185,0,0,0,114,6,0,0,0,114,6,0,0,0, + 114,7,0,0,0,218,16,109,111,100,117,108,101,95,102,114, + 111,109,95,115,112,101,99,52,2,0,0,115,18,0,0,0, + 4,3,12,1,14,3,12,1,8,1,8,2,10,1,10,1, + 4,1,114,20,0,0,0,114,186,0,0,0,99,1,0,0, + 0,0,0,0,0,0,0,0,0,4,0,0,0,67,0,0, + 0,115,100,0,0,0,124,0,106,0,100,1,117,0,114,7, + 100,2,110,2,124,0,106,0,125,1,124,0,106,1,100,1, + 117,0,114,32,124,0,106,2,100,1,117,0,114,25,100,3, + 160,3,124,1,161,1,83,0,100,4,160,3,124,1,124,0, + 106,2,161,2,83,0,124,0,106,4,114,42,100,5,160,3, + 124,1,124,0,106,1,161,2,83,0,100,6,160,3,124,0, + 106,0,124,0,106,1,161,2,83,0,41,7,122,38,82,101, + 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, + 117,108,101,46,78,114,127,0,0,0,114,128,0,0,0,114, + 129,0,0,0,114,130,0,0,0,250,18,60,109,111,100,117, + 108,101,32,123,33,114,125,32,40,123,125,41,62,41,5,114, + 23,0,0,0,114,139,0,0,0,114,135,0,0,0,114,54, + 0,0,0,114,151,0,0,0,169,2,114,121,0,0,0,114, + 23,0,0,0,32,32,114,188,0,0,0,114,6,0,0,0, + 114,6,0,0,0,114,7,0,0,0,114,131,0,0,0,69, + 2,0,0,115,16,0,0,0,20,3,10,1,10,1,10,1, + 14,2,6,2,14,1,16,2,114,20,0,0,0,114,131,0, + 0,0,99,2,0,0,0,0,0,0,0,0,0,0,0,10, + 0,0,0,67,0,0,0,115,32,1,0,0,124,0,106,0, + 125,2,116,1,124,2,131,1,53,0,1,0,116,2,106,3, + 160,4,124,2,161,1,124,1,117,1,114,27,100,1,160,5, + 124,2,161,1,125,3,116,6,124,3,124,2,100,2,141,2, + 130,1,9,0,124,0,106,7,100,3,117,0,114,53,124,0, + 106,8,100,3,117,0,114,45,116,6,100,4,124,0,106,0, + 100,2,141,2,130,1,116,9,124,0,124,1,100,5,100,6, + 141,3,1,0,110,40,116,9,124,0,124,1,100,5,100,6, + 141,3,1,0,116,10,124,0,106,7,100,7,131,2,115,87, + 116,11,124,0,106,7,131,1,155,0,100,8,157,2,125,3, + 116,12,160,13,124,3,116,14,161,2,1,0,124,0,106,7, + 160,15,124,2,161,1,1,0,110,6,124,0,106,7,160,16, + 124,1,161,1,1,0,116,2,106,3,160,17,124,0,106,0, + 161,1,125,1,124,1,116,2,106,3,124,0,106,0,60,0, + 110,16,35,0,116,2,106,3,160,17,124,0,106,0,161,1, + 125,1,124,1,116,2,106,3,124,0,106,0,60,0,119,0, + 37,0,9,0,100,3,4,0,4,0,131,3,1,0,124,1, + 83,0,35,0,49,0,115,136,119,4,37,0,1,0,1,0, + 1,0,89,0,1,0,1,0,124,1,83,0,41,9,122,70, + 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, + 111,100,117,108,101,115,114,22,0,0,0,78,250,14,109,105, + 115,115,105,110,103,32,108,111,97,100,101,114,84,114,176,0, + 0,0,114,184,0,0,0,250,55,46,101,120,101,99,95,109, + 111,100,117,108,101,40,41,32,110,111,116,32,102,111,117,110, + 100,59,32,102,97,108,108,105,110,103,32,98,97,99,107,32, + 116,111,32,108,111,97,100,95,109,111,100,117,108,101,40,41, + 41,18,114,23,0,0,0,114,61,0,0,0,114,21,0,0, + 0,114,116,0,0,0,114,41,0,0,0,114,54,0,0,0, + 114,97,0,0,0,114,135,0,0,0,114,142,0,0,0,114, + 182,0,0,0,114,12,0,0,0,114,8,0,0,0,114,112, + 0,0,0,114,113,0,0,0,218,13,73,109,112,111,114,116, + 87,97,114,110,105,110,103,218,11,108,111,97,100,95,109,111, + 100,117,108,101,114,184,0,0,0,218,3,112,111,112,169,4, + 114,121,0,0,0,114,122,0,0,0,114,23,0,0,0,114, + 120,0,0,0,32,32,32,32,114,194,0,0,0,114,6,0, + 0,0,114,6,0,0,0,114,7,0,0,0,114,117,0,0, + 0,86,2,0,0,115,50,0,0,0,6,2,10,1,16,1, + 10,1,12,1,2,1,10,1,10,1,14,1,16,2,14,2, + 12,1,16,1,12,2,14,1,12,2,14,4,14,1,2,128, + 14,255,18,1,10,233,4,24,22,128,4,0,115,41,0,0, + 0,135,20,66,3,3,156,65,1,65,43,2,193,29,14,66, + 3,3,193,43,15,65,58,9,193,58,1,66,3,3,194,3, + 4,66,7,11,194,8,3,66,7,11,114,117,0,0,0,99, + 1,0,0,0,0,0,0,0,0,0,0,0,8,0,0,0, + 67,0,0,0,115,22,1,0,0,9,0,124,0,106,0,160, + 1,124,0,106,2,161,1,1,0,110,25,35,0,1,0,1, + 0,1,0,124,0,106,2,116,3,106,4,118,0,114,32,116, + 3,106,4,160,5,124,0,106,2,161,1,125,1,124,1,116, + 3,106,4,124,0,106,2,60,0,130,0,37,0,116,3,106, + 4,160,5,124,0,106,2,161,1,125,1,124,1,116,3,106, + 4,124,0,106,2,60,0,116,6,124,1,100,1,100,0,131, + 3,100,0,117,0,114,71,9,0,124,0,106,0,124,1,95, + 7,110,10,35,0,4,0,116,8,121,138,1,0,1,0,1, + 0,89,0,110,1,37,0,116,6,124,1,100,2,100,0,131, + 3,100,0,117,0,114,109,9,0,124,1,106,9,124,1,95, + 10,116,11,124,1,100,3,131,2,115,98,124,0,106,2,160, + 12,100,4,161,1,100,5,25,0,124,1,95,10,110,10,35, + 0,4,0,116,8,121,137,1,0,1,0,1,0,89,0,110, + 1,37,0,116,6,124,1,100,6,100,0,131,3,100,0,117, + 0,114,134,9,0,124,0,124,1,95,13,124,1,83,0,35, + 0,4,0,116,8,121,136,1,0,1,0,1,0,89,0,124, + 1,83,0,37,0,124,1,83,0,119,0,119,0,119,0,41, + 7,78,114,124,0,0,0,114,178,0,0,0,114,173,0,0, + 0,114,158,0,0,0,114,28,0,0,0,114,125,0,0,0, + 41,14,114,135,0,0,0,114,192,0,0,0,114,23,0,0, + 0,114,21,0,0,0,114,116,0,0,0,114,193,0,0,0, + 114,14,0,0,0,114,124,0,0,0,114,2,0,0,0,114, + 10,0,0,0,114,178,0,0,0,114,12,0,0,0,114,159, + 0,0,0,114,125,0,0,0,114,185,0,0,0,32,32,114, + 185,0,0,0,114,6,0,0,0,114,6,0,0,0,114,7, + 0,0,0,218,25,95,108,111,97,100,95,98,97,99,107,119, + 97,114,100,95,99,111,109,112,97,116,105,98,108,101,116,2, + 0,0,115,80,0,0,0,2,3,16,1,2,128,6,1,12, + 1,14,1,12,1,2,1,2,128,14,3,12,1,16,1,2, + 1,10,1,2,128,12,1,4,1,2,128,16,1,2,1,8, + 4,10,1,18,1,4,128,12,1,4,1,2,128,16,1,2, + 1,6,1,4,3,2,128,12,254,2,1,4,1,2,128,4, + 0,2,254,2,251,2,246,115,59,0,0,0,129,7,9,0, + 137,24,33,7,184,4,61,0,189,7,65,6,7,193,16,18, + 65,35,0,193,35,7,65,44,7,193,54,3,65,59,0,193, + 59,7,66,5,7,194,8,1,66,5,7,194,9,1,65,44, + 7,194,10,1,65,6,7,114,195,0,0,0,99,1,0,0, + 0,0,0,0,0,0,0,0,0,11,0,0,0,67,0,0, + 0,115,248,0,0,0,124,0,106,0,100,0,117,1,114,29, + 116,1,124,0,106,0,100,1,131,2,115,29,116,2,124,0, + 106,0,131,1,155,0,100,2,157,2,125,1,116,3,160,4, + 124,1,116,5,161,2,1,0,116,6,124,0,131,1,83,0, + 116,7,124,0,131,1,125,2,100,3,124,0,95,8,9,0, + 124,2,116,9,106,10,124,0,106,11,60,0,9,0,124,0, + 106,0,100,0,117,0,114,62,124,0,106,12,100,0,117,0, + 114,61,116,13,100,4,124,0,106,11,100,5,141,2,130,1, + 110,6,124,0,106,0,160,14,124,2,161,1,1,0,110,22, + 35,0,1,0,1,0,1,0,9,0,116,9,106,10,124,0, + 106,11,61,0,130,0,35,0,4,0,116,15,121,123,1,0, + 1,0,1,0,89,0,130,0,37,0,37,0,116,9,106,10, + 160,16,124,0,106,11,161,1,125,2,124,2,116,9,106,10, + 124,0,106,11,60,0,116,17,100,6,124,0,106,11,124,0, + 106,0,131,3,1,0,100,7,124,0,95,8,124,2,83,0, + 35,0,100,7,124,0,95,8,119,0,37,0,119,0,41,8, + 78,114,184,0,0,0,114,190,0,0,0,84,114,189,0,0, + 0,114,22,0,0,0,122,18,105,109,112,111,114,116,32,123, + 33,114,125,32,35,32,123,33,114,125,70,41,18,114,135,0, + 0,0,114,12,0,0,0,114,8,0,0,0,114,112,0,0, + 0,114,113,0,0,0,114,191,0,0,0,114,195,0,0,0, + 114,186,0,0,0,90,13,95,105,110,105,116,105,97,108,105, + 122,105,110,103,114,21,0,0,0,114,116,0,0,0,114,23, + 0,0,0,114,142,0,0,0,114,97,0,0,0,114,184,0, + 0,0,114,76,0,0,0,114,193,0,0,0,114,93,0,0, + 0,169,3,114,121,0,0,0,114,120,0,0,0,114,122,0, + 0,0,32,32,32,114,196,0,0,0,114,6,0,0,0,114, + 6,0,0,0,114,7,0,0,0,218,14,95,108,111,97,100, 95,117,110,108,111,99,107,101,100,152,2,0,0,115,66,0, 0,0,10,2,12,2,16,1,12,2,8,1,8,2,6,5, 2,1,12,1,2,1,10,1,10,1,14,1,2,255,12,4, @@ -1092,7 +1116,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 65,5,0,193,4,1,65,53,0,193,5,4,65,26,7,193, 10,5,65,16,6,193,15,1,65,26,7,193,16,7,65,25, 13,193,23,3,65,26,7,193,26,22,65,53,0,193,53,5, - 65,58,7,193,59,1,65,25,13,114,174,0,0,0,99,1, + 65,58,7,193,59,1,65,25,13,114,197,0,0,0,99,1, 0,0,0,0,0,0,0,0,0,0,0,9,0,0,0,67, 0,0,0,115,58,0,0,0,116,0,124,0,106,1,131,1, 53,0,1,0,116,2,124,0,131,1,2,0,100,1,4,0, @@ -1110,278 +1134,285 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 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, - 10,32,32,32,32,78,41,3,114,58,0,0,0,114,21,0, - 0,0,114,174,0,0,0,169,1,114,110,0,0,0,114,5, - 0,0,0,114,5,0,0,0,114,6,0,0,0,114,108,0, - 0,0,197,2,0,0,115,10,0,0,0,12,9,6,1,14, - 255,22,128,4,0,115,12,0,0,0,133,4,16,3,144,4, - 20,11,149,3,20,11,114,108,0,0,0,99,0,0,0,0, - 0,0,0,0,0,0,0,0,4,0,0,0,64,0,0,0, - 115,140,0,0,0,101,0,90,1,100,0,90,2,100,1,90, - 3,100,2,90,4,101,5,100,3,100,4,132,0,131,1,90, - 6,101,7,100,20,100,6,100,7,132,1,131,1,90,8,101, - 7,100,21,100,8,100,9,132,1,131,1,90,9,101,5,100, - 10,100,11,132,0,131,1,90,10,101,5,100,12,100,13,132, - 0,131,1,90,11,101,7,101,12,100,14,100,15,132,0,131, - 1,131,1,90,13,101,7,101,12,100,16,100,17,132,0,131, - 1,131,1,90,14,101,7,101,12,100,18,100,19,132,0,131, - 1,131,1,90,15,101,7,101,16,131,1,90,17,100,5,83, - 0,41,22,218,15,66,117,105,108,116,105,110,73,109,112,111, - 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, - 10,10,32,32,32,32,122,8,98,117,105,108,116,45,105,110, - 99,1,0,0,0,0,0,0,0,0,0,0,0,5,0,0, - 0,67,0,0,0,115,34,0,0,0,116,0,160,1,100,1, - 116,2,161,2,1,0,100,2,124,0,106,3,155,2,100,3, - 116,4,106,5,155,0,100,4,157,5,83,0,41,6,250,115, - 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, - 32,32,32,122,81,66,117,105,108,116,105,110,73,109,112,111, - 114,116,101,114,46,109,111,100,117,108,101,95,114,101,112,114, - 40,41,32,105,115,32,100,101,112,114,101,99,97,116,101,100, - 32,97,110,100,32,115,108,97,116,101,100,32,102,111,114,32, - 114,101,109,111,118,97,108,32,105,110,32,80,121,116,104,111, - 110,32,51,46,49,50,122,8,60,109,111,100,117,108,101,32, - 122,2,32,40,122,2,41,62,78,41,6,114,102,0,0,0, - 114,103,0,0,0,114,104,0,0,0,114,9,0,0,0,114, - 176,0,0,0,114,152,0,0,0,169,1,114,111,0,0,0, - 114,5,0,0,0,114,5,0,0,0,114,6,0,0,0,114, - 115,0,0,0,223,2,0,0,115,8,0,0,0,6,7,2, - 1,4,255,22,2,114,18,0,0,0,122,27,66,117,105,108, - 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, - 0,0,0,0,0,5,0,0,0,67,0,0,0,115,42,0, - 0,0,124,2,100,0,117,1,114,6,100,0,83,0,116,0, - 160,1,124,1,161,1,114,19,116,2,124,1,124,0,124,0, - 106,3,100,1,141,3,83,0,100,0,83,0,169,2,78,114, - 151,0,0,0,41,4,114,65,0,0,0,90,10,105,115,95, - 98,117,105,108,116,105,110,114,105,0,0,0,114,152,0,0, - 0,169,4,218,3,99,108,115,114,90,0,0,0,218,4,112, - 97,116,104,218,6,116,97,114,103,101,116,114,5,0,0,0, - 114,5,0,0,0,114,6,0,0,0,218,9,102,105,110,100, - 95,115,112,101,99,234,2,0,0,115,10,0,0,0,8,2, - 4,1,10,1,16,1,4,2,114,18,0,0,0,122,25,66, - 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, - 0,0,0,0,0,4,0,0,0,67,0,0,0,115,42,0, - 0,0,116,0,160,1,100,1,116,2,161,2,1,0,124,0, - 160,3,124,1,124,2,161,2,125,3,124,3,100,2,117,1, - 114,19,124,3,106,4,83,0,100,2,83,0,41,3,122,175, - 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, - 116,101,97,100,46,10,10,32,32,32,32,32,32,32,32,122, - 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124,0,83,0,100,2,83,0,41,3,122,93,70,105,110,100, + 32,97,32,102,114,111,122,101,110,32,109,111,100,117,108,101, + 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, + 97,116,101,100,46,32,32,85,115,101,32,102,105,110,100,95, + 115,112,101,99,40,41,32,105,110,115,116,101,97,100,46,10, + 10,32,32,32,32,32,32,32,32,122,105,70,114,111,122,101, + 110,73,109,112,111,114,116,101,114,46,102,105,110,100,95,109, + 111,100,117,108,101,40,41,32,105,115,32,100,101,112,114,101, + 99,97,116,101,100,32,97,110,100,32,115,108,97,116,101,100, + 32,102,111,114,32,114,101,109,111,118,97,108,32,105,110,32, + 80,121,116,104,111,110,32,51,46,49,50,59,32,117,115,101, + 32,102,105,110,100,95,115,112,101,99,40,41,32,105,110,115, + 116,101,97,100,78,41,5,114,112,0,0,0,114,113,0,0, + 0,114,114,0,0,0,114,69,0,0,0,114,109,0,0,0, + 169,3,114,204,0,0,0,114,99,0,0,0,114,205,0,0, + 0,32,32,32,114,221,0,0,0,114,6,0,0,0,114,6, + 0,0,0,114,7,0,0,0,114,209,0,0,0,65,3,0, + 0,115,8,0,0,0,6,7,2,2,4,254,18,3,114,20, + 0,0,0,122,26,70,114,111,122,101,110,73,109,112,111,114, + 116,101,114,46,102,105,110,100,95,109,111,100,117,108,101,99, + 1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0, + 67,0,0,0,114,210,0,0,0,41,2,122,42,85,115,101, + 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, + 101,97,116,105,111,110,46,78,114,6,0,0,0,114,198,0, + 0,0,32,114,198,0,0,0,114,6,0,0,0,114,6,0, + 0,0,114,7,0,0,0,114,183,0,0,0,77,3,0,0, + 115,2,0,0,0,4,0,114,20,0,0,0,122,28,70,114, + 111,122,101,110,73,109,112,111,114,116,101,114,46,99,114,101, + 97,116,101,95,109,111,100,117,108,101,99,1,0,0,0,0, + 0,0,0,0,0,0,0,4,0,0,0,67,0,0,0,115, + 64,0,0,0,124,0,106,0,106,1,125,1,116,2,160,3, + 124,1,161,1,115,18,116,4,100,1,160,5,124,1,161,1, + 124,1,100,2,141,2,130,1,116,6,116,2,106,7,124,1, + 131,2,125,2,116,8,124,2,124,0,106,9,131,2,1,0, + 100,0,83,0,114,108,0,0,0,41,10,114,125,0,0,0, + 114,23,0,0,0,114,69,0,0,0,114,109,0,0,0,114, + 97,0,0,0,114,54,0,0,0,114,83,0,0,0,218,17, + 103,101,116,95,102,114,111,122,101,110,95,111,98,106,101,99, + 116,218,4,101,120,101,99,114,15,0,0,0,169,3,114,122, + 0,0,0,114,23,0,0,0,218,4,99,111,100,101,32,32, + 32,114,224,0,0,0,114,6,0,0,0,114,6,0,0,0, + 114,7,0,0,0,114,184,0,0,0,81,3,0,0,115,14, + 0,0,0,8,2,10,1,10,1,2,1,6,255,12,2,16, + 1,114,20,0,0,0,122,26,70,114,111,122,101,110,73,109, + 112,111,114,116,101,114,46,101,120,101,99,95,109,111,100,117, + 108,101,99,2,0,0,0,0,0,0,0,0,0,0,0,3, + 0,0,0,67,0,0,0,115,10,0,0,0,116,0,124,0, + 124,1,131,2,83,0,41,2,122,95,76,111,97,100,32,97, + 32,102,114,111,122,101,110,32,109,111,100,117,108,101,46,10, + 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, + 10,32,32,32,32,32,32,32,32,78,41,1,114,123,0,0, + 0,114,211,0,0,0,32,32,114,211,0,0,0,114,6,0, + 0,0,114,6,0,0,0,114,7,0,0,0,114,192,0,0, + 0,90,3,0,0,115,2,0,0,0,10,8,114,20,0,0, 0,122,26,70,114,111,122,101,110,73,109,112,111,114,116,101, 114,46,108,111,97,100,95,109,111,100,117,108,101,99,2,0, 0,0,0,0,0,0,0,0,0,0,3,0,0,0,67,0, @@ -1389,264 +1420,271 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 0,41,2,122,45,82,101,116,117,114,110,32,116,104,101,32, 99,111,100,101,32,111,98,106,101,99,116,32,102,111,114,32, 116,104,101,32,102,114,111,122,101,110,32,109,111,100,117,108, - 101,46,78,41,2,114,65,0,0,0,114,196,0,0,0,114, - 187,0,0,0,114,5,0,0,0,114,5,0,0,0,114,6, - 0,0,0,114,188,0,0,0,100,3,0,0,243,2,0,0, - 0,10,4,114,18,0,0,0,122,23,70,114,111,122,101,110, - 73,109,112,111,114,116,101,114,46,103,101,116,95,99,111,100, - 101,99,2,0,0,0,0,0,0,0,0,0,0,0,1,0, - 0,0,67,0,0,0,114,186,0,0,0,41,2,122,54,82, - 101,116,117,114,110,32,78,111,110,101,32,97,115,32,102,114, - 111,122,101,110,32,109,111,100,117,108,101,115,32,100,111,32, - 110,111,116,32,104,97,118,101,32,115,111,117,114,99,101,32, - 99,111,100,101,46,78,114,5,0,0,0,114,187,0,0,0, - 114,5,0,0,0,114,5,0,0,0,114,6,0,0,0,114, - 190,0,0,0,106,3,0,0,114,189,0,0,0,114,18,0, - 0,0,122,25,70,114,111,122,101,110,73,109,112,111,114,116, - 101,114,46,103,101,116,95,115,111,117,114,99,101,99,2,0, - 0,0,0,0,0,0,0,0,0,0,3,0,0,0,67,0, - 0,0,114,199,0,0,0,41,2,122,46,82,101,116,117,114, - 110,32,84,114,117,101,32,105,102,32,116,104,101,32,102,114, - 111,122,101,110,32,109,111,100,117,108,101,32,105,115,32,97, - 32,112,97,99,107,97,103,101,46,78,41,2,114,65,0,0, - 0,90,17,105,115,95,102,114,111,122,101,110,95,112,97,99, - 107,97,103,101,114,187,0,0,0,114,5,0,0,0,114,5, - 0,0,0,114,6,0,0,0,114,129,0,0,0,112,3,0, - 0,114,200,0,0,0,114,18,0,0,0,122,25,70,114,111, - 122,101,110,73,109,112,111,114,116,101,114,46,105,115,95,112, - 97,99,107,97,103,101,114,191,0,0,0,114,0,0,0,0, - 41,17,114,9,0,0,0,114,8,0,0,0,114,1,0,0, - 0,114,10,0,0,0,114,152,0,0,0,114,192,0,0,0, - 114,115,0,0,0,114,193,0,0,0,114,184,0,0,0,114, - 185,0,0,0,114,163,0,0,0,114,164,0,0,0,114,171, - 0,0,0,114,101,0,0,0,114,188,0,0,0,114,190,0, - 0,0,114,129,0,0,0,114,5,0,0,0,114,5,0,0, - 0,114,5,0,0,0,114,6,0,0,0,114,194,0,0,0, - 36,3,0,0,115,48,0,0,0,8,0,4,2,4,7,2, - 2,10,1,2,10,12,1,2,6,12,1,2,11,10,1,2, - 3,10,1,2,8,10,1,2,9,2,1,12,1,2,4,2, - 1,12,1,2,4,2,1,16,1,114,18,0,0,0,114,194, - 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, - 0,0,0,0,0,0,2,0,0,0,67,0,0,0,243,12, - 0,0,0,116,0,160,1,161,0,1,0,100,1,83,0,41, - 2,122,24,65,99,113,117,105,114,101,32,116,104,101,32,105, - 109,112,111,114,116,32,108,111,99,107,46,78,41,2,114,65, - 0,0,0,114,66,0,0,0,114,53,0,0,0,114,5,0, - 0,0,114,5,0,0,0,114,6,0,0,0,114,62,0,0, - 0,125,3,0,0,243,2,0,0,0,12,2,114,18,0,0, + 101,46,78,41,2,114,69,0,0,0,114,222,0,0,0,114, + 211,0,0,0,32,32,114,211,0,0,0,114,6,0,0,0, + 114,6,0,0,0,114,7,0,0,0,114,212,0,0,0,100, + 3,0,0,243,2,0,0,0,10,4,114,20,0,0,0,122, + 23,70,114,111,122,101,110,73,109,112,111,114,116,101,114,46, + 103,101,116,95,99,111,100,101,99,2,0,0,0,0,0,0, + 0,0,0,0,0,1,0,0,0,67,0,0,0,114,210,0, + 0,0,41,2,122,54,82,101,116,117,114,110,32,78,111,110, + 101,32,97,115,32,102,114,111,122,101,110,32,109,111,100,117, + 108,101,115,32,100,111,32,110,111,116,32,104,97,118,101,32, + 115,111,117,114,99,101,32,99,111,100,101,46,78,114,6,0, + 0,0,114,211,0,0,0,32,32,114,211,0,0,0,114,6, + 0,0,0,114,6,0,0,0,114,7,0,0,0,114,214,0, + 0,0,106,3,0,0,114,213,0,0,0,114,20,0,0,0, + 122,25,70,114,111,122,101,110,73,109,112,111,114,116,101,114, + 46,103,101,116,95,115,111,117,114,99,101,99,2,0,0,0, + 0,0,0,0,0,0,0,0,3,0,0,0,67,0,0,0, + 114,226,0,0,0,41,2,122,46,82,101,116,117,114,110,32, + 84,114,117,101,32,105,102,32,116,104,101,32,102,114,111,122, + 101,110,32,109,111,100,117,108,101,32,105,115,32,97,32,112, + 97,99,107,97,103,101,46,78,41,2,114,69,0,0,0,90, + 17,105,115,95,102,114,111,122,101,110,95,112,97,99,107,97, + 103,101,114,211,0,0,0,32,32,114,211,0,0,0,114,6, + 0,0,0,114,6,0,0,0,114,7,0,0,0,114,141,0, + 0,0,112,3,0,0,114,227,0,0,0,114,20,0,0,0, + 122,25,70,114,111,122,101,110,73,109,112,111,114,116,101,114, + 46,105,115,95,112,97,99,107,97,103,101,114,215,0,0,0, + 114,0,0,0,0,41,17,114,10,0,0,0,114,9,0,0, + 0,114,1,0,0,0,114,11,0,0,0,114,170,0,0,0, + 114,216,0,0,0,114,126,0,0,0,114,217,0,0,0,114, + 207,0,0,0,114,209,0,0,0,114,183,0,0,0,114,184, + 0,0,0,114,192,0,0,0,114,111,0,0,0,114,212,0, + 0,0,114,214,0,0,0,114,141,0,0,0,114,6,0,0, + 0,114,6,0,0,0,114,6,0,0,0,114,6,0,0,0, + 114,7,0,0,0,114,218,0,0,0,36,3,0,0,115,48, + 0,0,0,8,0,4,2,4,7,2,2,10,1,2,10,12, + 1,2,6,12,1,2,11,10,1,2,3,10,1,2,8,10, + 1,2,9,2,1,12,1,2,4,2,1,12,1,2,4,2, + 1,16,1,114,20,0,0,0,114,218,0,0,0,99,0,0, + 0,0,0,0,0,0,0,0,0,0,2,0,0,0,64,0, + 0,0,115,32,0,0,0,101,0,90,1,100,0,90,2,100, + 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, + 99,107,46,99,1,0,0,0,0,0,0,0,0,0,0,0, + 2,0,0,0,67,0,0,0,243,12,0,0,0,116,0,160, + 1,161,0,1,0,100,1,83,0,41,2,122,24,65,99,113, + 117,105,114,101,32,116,104,101,32,105,109,112,111,114,116,32, + 108,111,99,107,46,78,41,2,114,69,0,0,0,114,70,0, + 0,0,114,56,0,0,0,32,114,56,0,0,0,114,6,0, + 0,0,114,6,0,0,0,114,7,0,0,0,114,65,0,0, + 0,125,3,0,0,243,2,0,0,0,12,2,114,20,0,0, 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0,0,114,10,0,0,0,114,62,0,0,0,114,64,0,0, - 0,114,5,0,0,0,114,5,0,0,0,114,5,0,0,0, - 114,6,0,0,0,114,201,0,0,0,121,3,0,0,115,8, - 0,0,0,8,0,4,2,8,2,12,4,114,18,0,0,0, - 114,201,0,0,0,99,3,0,0,0,0,0,0,0,0,0, - 0,0,5,0,0,0,67,0,0,0,115,64,0,0,0,124, - 1,160,0,100,1,124,2,100,2,24,0,161,2,125,3,116, - 1,124,3,131,1,124,2,107,0,114,18,116,2,100,3,131, - 1,130,1,124,3,100,4,25,0,125,4,124,0,114,30,100, - 5,160,3,124,4,124,0,161,2,83,0,124,4,83,0,41, - 7,122,50,82,101,115,111,108,118,101,32,97,32,114,101,108, - 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, - 32,111,110,101,46,114,142,0,0,0,114,43,0,0,0,122, - 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, - 97,103,101,114,26,0,0,0,250,5,123,125,46,123,125,78, - 41,4,218,6,114,115,112,108,105,116,218,3,108,101,110,114, - 88,0,0,0,114,51,0,0,0,41,5,114,21,0,0,0, - 218,7,112,97,99,107,97,103,101,218,5,108,101,118,101,108, - 90,4,98,105,116,115,90,4,98,97,115,101,114,5,0,0, - 0,114,5,0,0,0,114,6,0,0,0,218,13,95,114,101, - 115,111,108,118,101,95,110,97,109,101,134,3,0,0,115,10, - 0,0,0,16,2,12,1,8,1,8,1,20,1,114,18,0, - 0,0,114,212,0,0,0,99,3,0,0,0,0,0,0,0, - 0,0,0,0,4,0,0,0,67,0,0,0,115,60,0,0, - 0,116,0,124,0,131,1,155,0,100,1,157,2,125,3,116, - 1,160,2,124,3,116,3,161,2,1,0,124,0,160,4,124, - 1,124,2,161,2,125,4,124,4,100,0,117,0,114,25,100, - 0,83,0,116,5,124,1,124,4,131,2,83,0,41,2,78, - 122,53,46,102,105,110,100,95,115,112,101,99,40,41,32,110, - 111,116,32,102,111,117,110,100,59,32,102,97,108,108,105,110, - 103,32,98,97,99,107,32,116,111,32,102,105,110,100,95,109, - 111,100,117,108,101,40,41,41,6,114,7,0,0,0,114,102, - 0,0,0,114,103,0,0,0,114,170,0,0,0,114,185,0, - 0,0,114,105,0,0,0,41,5,218,6,102,105,110,100,101, - 114,114,21,0,0,0,114,182,0,0,0,114,109,0,0,0, - 114,123,0,0,0,114,5,0,0,0,114,5,0,0,0,114, - 6,0,0,0,218,17,95,102,105,110,100,95,115,112,101,99, - 95,108,101,103,97,99,121,143,3,0,0,115,12,0,0,0, - 14,1,12,2,12,1,8,1,4,1,10,1,114,18,0,0, - 0,114,214,0,0,0,99,3,0,0,0,0,0,0,0,0, - 0,0,0,10,0,0,0,67,0,0,0,115,30,1,0,0, - 116,0,106,1,125,3,124,3,100,1,117,0,114,11,116,2, - 100,2,131,1,130,1,124,3,115,19,116,3,160,4,100,3, - 116,5,161,2,1,0,124,0,116,0,106,6,118,0,125,4, - 124,3,68,0,93,112,125,5,116,7,131,0,53,0,1,0, - 9,0,124,5,106,8,125,6,110,27,35,0,4,0,116,9, - 121,142,1,0,1,0,1,0,116,10,124,5,124,0,124,1, - 131,3,125,7,124,7,100,1,117,0,114,61,89,0,100,1, - 4,0,4,0,131,3,1,0,113,26,89,0,110,7,37,0, - 124,6,124,0,124,1,124,2,131,3,125,7,100,1,4,0, - 4,0,131,3,1,0,110,11,35,0,49,0,115,81,119,4, - 37,0,1,0,1,0,1,0,89,0,1,0,1,0,124,7, - 100,1,117,1,114,138,124,4,115,134,124,0,116,0,106,6, - 118,0,114,134,116,0,106,6,124,0,25,0,125,8,9,0, - 124,8,106,11,125,9,110,14,35,0,4,0,116,9,121,141, - 1,0,1,0,1,0,124,7,6,0,89,0,2,0,1,0, - 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6,0,0,0,218,10,95,102,105,110,100,95,115,112,101,99, - 153,3,0,0,115,76,0,0,0,6,2,8,1,8,2,4, - 3,12,1,10,5,8,1,8,1,2,1,8,1,2,128,12, - 1,12,1,8,1,2,1,12,250,4,5,2,128,12,3,12, - 248,22,128,8,9,14,2,10,1,2,1,8,1,2,128,12, - 1,12,4,2,128,8,2,8,1,8,2,8,2,2,239,4, - 19,2,243,2,244,115,63,0,0,0,159,1,65,12,5,161, - 3,37,4,164,1,65,12,5,165,17,63,11,182,1,65,12, - 5,189,9,65,12,5,193,12,4,65,16,13,193,17,3,65, - 16,13,193,40,3,65,44,2,193,44,9,65,57,9,194,13, - 1,65,57,9,194,14,1,63,11,114,216,0,0,0,99,3, - 0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,67, - 0,0,0,115,110,0,0,0,116,0,124,0,116,1,131,2, - 115,14,116,2,100,1,160,3,116,4,124,0,131,1,161,1, - 131,1,130,1,124,2,100,2,107,0,114,22,116,5,100,3, - 131,1,130,1,124,2,100,2,107,4,114,41,116,0,124,1, - 116,1,131,2,115,35,116,2,100,4,131,1,130,1,124,1, - 115,41,116,6,100,5,131,1,130,1,124,0,115,53,124,2, - 100,2,107,2,114,51,116,5,100,6,131,1,130,1,100,7, - 83,0,100,7,83,0,41,8,122,28,86,101,114,105,102,121, - 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1,125,3,116,7,124,3,124,0,100,3,141,2,130,1,116, + 8,124,0,131,1,1,0,124,2,83,0,41,4,122,25,70, + 105,110,100,32,97,110,100,32,108,111,97,100,32,116,104,101, + 32,109,111,100,117,108,101,46,78,122,40,105,109,112,111,114, + 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, + 108,101,115,114,22,0,0,0,41,9,114,61,0,0,0,114, + 21,0,0,0,114,116,0,0,0,114,41,0,0,0,218,14, + 95,78,69,69,68,83,95,76,79,65,68,73,78,71,114,3, + 1,0,0,114,54,0,0,0,114,0,1,0,0,114,80,0, + 0,0,169,4,114,23,0,0,0,114,2,1,0,0,114,122, + 0,0,0,114,92,0,0,0,32,32,32,32,114,5,1,0, + 0,114,6,0,0,0,114,6,0,0,0,114,7,0,0,0, 218,14,95,102,105,110,100,95,97,110,100,95,108,111,97,100, 254,3,0,0,115,30,0,0,0,10,2,14,1,8,1,8, 1,14,253,2,2,12,254,22,128,8,5,2,1,6,1,2, 255,12,2,8,2,4,1,115,12,0,0,0,132,16,34,3, - 162,4,38,11,167,3,38,11,114,229,0,0,0,114,26,0, + 162,4,38,11,167,3,38,11,114,6,1,0,0,114,28,0, 0,0,99,3,0,0,0,0,0,0,0,0,0,0,0,4, 0,0,0,67,0,0,0,115,42,0,0,0,116,0,124,0, 124,1,124,2,131,3,1,0,124,2,100,1,107,4,114,16, @@ -1671,277 +1709,282 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 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, - 26,0,0,0,78,41,4,114,222,0,0,0,114,212,0,0, - 0,114,229,0,0,0,218,11,95,103,99,100,95,105,109,112, - 111,114,116,114,221,0,0,0,114,5,0,0,0,114,5,0, - 0,0,114,6,0,0,0,114,230,0,0,0,14,4,0,0, - 115,8,0,0,0,12,9,8,1,12,1,10,1,114,18,0, - 0,0,114,230,0,0,0,169,1,218,9,114,101,99,117,114, - 115,105,118,101,99,3,0,0,0,0,0,0,0,1,0,0, - 0,9,0,0,0,67,0,0,0,115,216,0,0,0,124,1, - 68,0,93,102,125,4,116,0,124,4,116,1,131,2,115,32, - 124,3,114,17,124,0,106,2,100,1,23,0,125,5,110,2, - 100,2,125,5,116,3,100,3,124,5,155,0,100,4,116,4, - 124,4,131,1,106,2,155,0,157,4,131,1,130,1,124,4, - 100,5,107,2,114,53,124,3,115,52,116,5,124,0,100,6, - 131,2,114,52,116,6,124,0,124,0,106,7,124,2,100,7, - 100,8,141,4,1,0,113,2,116,5,124,0,124,4,131,2, - 115,104,100,9,160,8,124,0,106,2,124,4,161,2,125,6, - 9,0,116,9,124,2,124,6,131,2,1,0,113,2,35,0, - 4,0,116,10,121,107,1,0,125,7,1,0,124,7,106,11, - 124,6,107,2,114,98,116,12,106,13,160,14,124,6,116,15, - 161,2,100,10,117,1,114,98,89,0,100,10,125,7,126,7, - 113,2,130,0,100,10,125,7,126,7,119,1,37,0,113,2, - 124,0,83,0,119,0,41,11,122,238,70,105,103,117,114,101, - 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, - 100,46,10,10,32,32,32,32,122,8,46,95,95,97,108,108, - 95,95,122,13,96,96,102,114,111,109,32,108,105,115,116,39, - 39,122,8,73,116,101,109,32,105,110,32,122,18,32,109,117, - 115,116,32,98,101,32,115,116,114,44,32,110,111,116,32,250, - 1,42,218,7,95,95,97,108,108,95,95,84,114,231,0,0, - 0,114,207,0,0,0,78,41,16,114,217,0,0,0,114,218, - 0,0,0,114,9,0,0,0,114,219,0,0,0,114,3,0, - 0,0,114,11,0,0,0,218,16,95,104,97,110,100,108,101, - 95,102,114,111,109,108,105,115,116,114,234,0,0,0,114,51, - 0,0,0,114,75,0,0,0,114,225,0,0,0,114,21,0, - 0,0,114,19,0,0,0,114,106,0,0,0,114,39,0,0, - 0,114,228,0,0,0,41,8,114,111,0,0,0,218,8,102, - 114,111,109,108,105,115,116,114,226,0,0,0,114,232,0,0, - 0,218,1,120,90,5,119,104,101,114,101,90,9,102,114,111, - 109,95,110,97,109,101,90,3,101,120,99,114,5,0,0,0, - 114,5,0,0,0,114,6,0,0,0,114,235,0,0,0,29, - 4,0,0,115,58,0,0,0,8,10,10,1,4,1,12,1, - 4,2,10,1,8,1,8,255,8,2,14,1,10,1,2,1, - 6,255,2,128,10,2,14,1,2,1,12,1,2,128,12,1, - 10,4,16,1,2,255,10,2,2,1,10,128,2,245,4,12, - 2,248,115,36,0,0,0,193,2,5,65,8,2,193,8,7, - 65,39,9,193,15,14,65,35,9,193,34,1,65,35,9,193, - 35,4,65,39,9,193,43,1,65,39,9,114,235,0,0,0, - 99,1,0,0,0,0,0,0,0,0,0,0,0,7,0,0, - 0,67,0,0,0,115,146,0,0,0,124,0,160,0,100,1, - 161,1,125,1,124,0,160,0,100,2,161,1,125,2,124,1, - 100,3,117,1,114,41,124,2,100,3,117,1,114,39,124,1, - 124,2,106,1,107,3,114,39,116,2,160,3,100,4,124,1, - 155,2,100,5,124,2,106,1,155,2,100,6,157,5,116,4, - 100,7,100,8,166,3,1,0,124,1,83,0,124,2,100,3, - 117,1,114,48,124,2,106,1,83,0,116,2,160,3,100,9, - 116,4,100,7,100,8,166,3,1,0,124,0,100,10,25,0, - 125,1,100,11,124,0,118,1,114,71,124,1,160,5,100,12, - 161,1,100,13,25,0,125,1,124,1,83,0,41,14,122,167, - 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, - 46,10,10,32,32,32,32,114,159,0,0,0,114,114,0,0, - 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, - 110,100,32,95,95,112,97,116,104,95,95,114,9,0,0,0, - 114,155,0,0,0,114,142,0,0,0,114,26,0,0,0,41, - 6,114,39,0,0,0,114,144,0,0,0,114,102,0,0,0, - 114,103,0,0,0,114,170,0,0,0,114,143,0,0,0,41, - 3,218,7,103,108,111,98,97,108,115,114,210,0,0,0,114, - 110,0,0,0,114,5,0,0,0,114,5,0,0,0,114,6, - 0,0,0,218,17,95,99,97,108,99,95,95,95,112,97,99, - 107,97,103,101,95,95,66,4,0,0,115,42,0,0,0,10, - 7,10,1,8,1,18,1,6,1,2,1,4,255,4,1,6, - 255,4,2,6,254,4,3,8,1,6,1,6,2,4,2,6, - 254,8,3,8,1,14,1,4,1,114,18,0,0,0,114,241, - 0,0,0,114,5,0,0,0,99,5,0,0,0,0,0,0, - 0,0,0,0,0,5,0,0,0,67,0,0,0,115,174,0, - 0,0,124,4,100,1,107,2,114,9,116,0,124,0,131,1, - 125,5,110,18,124,1,100,2,117,1,114,15,124,1,110,1, - 105,0,125,6,116,1,124,6,131,1,125,7,116,0,124,0, - 124,7,124,4,131,3,125,5,124,3,115,74,124,4,100,1, - 107,2,114,42,116,0,124,0,160,2,100,3,161,1,100,1, - 25,0,131,1,83,0,124,0,115,46,124,5,83,0,116,3, - 124,0,131,1,116,3,124,0,160,2,100,3,161,1,100,1, - 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, - 25,0,25,0,83,0,116,7,124,5,100,4,131,2,114,85, - 116,8,124,5,124,3,116,0,131,3,83,0,124,5,83,0, - 41,5,97,215,1,0,0,73,109,112,111,114,116,32,97,32, - 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, - 39,32,111,102,32,50,41,46,10,10,32,32,32,32,114,26, - 0,0,0,78,114,142,0,0,0,114,155,0,0,0,41,9, - 114,230,0,0,0,114,241,0,0,0,218,9,112,97,114,116, - 105,116,105,111,110,114,209,0,0,0,114,19,0,0,0,114, - 106,0,0,0,114,9,0,0,0,114,11,0,0,0,114,235, - 0,0,0,41,9,114,21,0,0,0,114,240,0,0,0,218, - 6,108,111,99,97,108,115,114,236,0,0,0,114,211,0,0, - 0,114,111,0,0,0,90,8,103,108,111,98,97,108,115,95, - 114,210,0,0,0,90,7,99,117,116,95,111,102,102,114,5, - 0,0,0,114,5,0,0,0,114,6,0,0,0,218,10,95, - 95,105,109,112,111,114,116,95,95,93,4,0,0,115,30,0, - 0,0,8,11,10,1,16,2,8,1,12,1,4,1,8,3, - 18,1,4,1,4,1,26,4,30,3,10,1,12,1,4,2, - 114,18,0,0,0,114,244,0,0,0,99,1,0,0,0,0, - 0,0,0,0,0,0,0,3,0,0,0,67,0,0,0,115, - 38,0,0,0,116,0,160,1,124,0,161,1,125,1,124,1, - 100,0,117,0,114,15,116,2,100,1,124,0,23,0,131,1, - 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, - 101,32,110,97,109,101,100,32,41,4,114,176,0,0,0,114, - 184,0,0,0,114,88,0,0,0,114,174,0,0,0,41,2, - 114,21,0,0,0,114,110,0,0,0,114,5,0,0,0,114, - 5,0,0,0,114,6,0,0,0,218,18,95,98,117,105,108, - 116,105,110,95,102,114,111,109,95,110,97,109,101,130,4,0, - 0,115,8,0,0,0,10,1,8,1,12,1,8,1,114,18, - 0,0,0,114,245,0,0,0,99,2,0,0,0,0,0,0, - 0,0,0,0,0,5,0,0,0,67,0,0,0,115,166,0, - 0,0,124,1,97,0,124,0,97,1,116,2,116,1,131,1, - 125,2,116,1,106,3,160,4,161,0,68,0,93,36,92,2, - 125,3,125,4,116,5,124,4,124,2,131,2,114,49,124,3, - 116,1,106,6,118,0,114,30,116,7,125,5,110,9,116,0, - 160,8,124,3,161,1,114,38,116,9,125,5,110,1,113,13, - 116,10,124,4,124,5,131,2,125,6,116,11,124,6,124,4, - 131,2,1,0,113,13,116,1,106,3,116,12,25,0,125,7, - 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102,32,50,41,46,10,10,32,32,32,32,114,28,0,0,0, + 78,114,158,0,0,0,114,173,0,0,0,41,9,114,7,1, + 0,0,114,20,1,0,0,218,9,112,97,114,116,105,116,105, + 111,110,114,237,0,0,0,114,21,0,0,0,114,116,0,0, + 0,114,10,0,0,0,114,12,0,0,0,114,12,1,0,0, + 169,9,114,23,0,0,0,114,19,1,0,0,218,6,108,111, + 99,97,108,115,114,14,1,0,0,114,240,0,0,0,114,122, + 0,0,0,90,8,103,108,111,98,97,108,115,95,114,239,0, + 0,0,90,7,99,117,116,95,111,102,102,32,32,32,32,32, + 32,32,32,32,114,22,1,0,0,114,6,0,0,0,114,6, + 0,0,0,114,7,0,0,0,218,10,95,95,105,109,112,111, + 114,116,95,95,93,4,0,0,115,30,0,0,0,8,11,10, + 1,16,2,8,1,12,1,4,1,8,3,18,1,4,1,4, + 1,26,4,30,3,10,1,12,1,4,2,114,20,0,0,0, + 114,24,1,0,0,99,1,0,0,0,0,0,0,0,0,0, + 0,0,3,0,0,0,67,0,0,0,115,38,0,0,0,116, + 0,160,1,124,0,161,1,125,1,124,1,100,0,117,0,114, + 15,116,2,100,1,124,0,23,0,131,1,130,1,116,3,124, + 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, + 101,100,32,41,4,114,199,0,0,0,114,207,0,0,0,114, + 97,0,0,0,114,197,0,0,0,169,2,114,23,0,0,0, + 114,121,0,0,0,32,32,114,25,1,0,0,114,6,0,0, + 0,114,6,0,0,0,114,7,0,0,0,218,18,95,98,117, + 105,108,116,105,110,95,102,114,111,109,95,110,97,109,101,130, + 4,0,0,115,8,0,0,0,10,1,8,1,12,1,8,1, + 114,20,0,0,0,114,26,1,0,0,99,2,0,0,0,0, + 0,0,0,0,0,0,0,5,0,0,0,67,0,0,0,115, + 166,0,0,0,124,1,97,0,124,0,97,1,116,2,116,1, + 131,1,125,2,116,1,106,3,160,4,161,0,68,0,93,36, + 92,2,125,3,125,4,116,5,124,4,124,2,131,2,114,49, + 124,3,116,1,106,6,118,0,114,30,116,7,125,5,110,9, + 116,0,160,8,124,3,161,1,114,38,116,9,125,5,110,1, + 113,13,116,10,124,4,124,5,131,2,125,6,116,11,124,6, + 124,4,131,2,1,0,113,13,116,1,106,3,116,12,25,0, + 125,7,100,1,68,0,93,23,125,8,124,8,116,1,106,3, + 118,1,114,69,116,13,124,8,131,1,125,9,110,5,116,1, + 106,3,124,8,25,0,125,9,116,14,124,7,124,8,124,9, + 131,3,1,0,113,57,100,2,83,0,41,3,122,250,83,101, + 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, + 110,46,10,10,32,32,32,32,41,3,114,29,0,0,0,114, + 112,0,0,0,114,77,0,0,0,78,41,15,114,69,0,0, + 0,114,21,0,0,0,114,3,0,0,0,114,116,0,0,0, + 218,5,105,116,101,109,115,114,248,0,0,0,114,96,0,0, + 0,114,199,0,0,0,114,109,0,0,0,114,218,0,0,0, + 114,175,0,0,0,114,182,0,0,0,114,10,0,0,0,114, + 26,1,0,0,114,13,0,0,0,169,10,218,10,115,121,115, + 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, + 101,114,23,0,0,0,114,122,0,0,0,114,135,0,0,0, + 114,121,0,0,0,90,11,115,101,108,102,95,109,111,100,117, + 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, + 32,32,32,32,32,32,32,32,32,32,114,28,1,0,0,114, + 6,0,0,0,114,6,0,0,0,114,7,0,0,0,218,6, + 95,115,101,116,117,112,137,4,0,0,115,40,0,0,0,4, + 9,4,1,8,3,18,1,10,1,10,1,6,1,10,1,6, + 1,2,2,10,1,10,1,2,128,10,3,8,1,10,1,10, + 1,10,2,14,1,4,251,114,20,0,0,0,114,31,1,0, + 0,99,2,0,0,0,0,0,0,0,0,0,0,0,3,0, + 0,0,67,0,0,0,115,38,0,0,0,116,0,124,0,124, + 1,131,2,1,0,116,1,106,2,160,3,116,4,161,1,1, + 0,116,1,106,2,160,3,116,5,161,1,1,0,100,1,83, + 0,41,2,122,48,73,110,115,116,97,108,108,32,105,109,112, + 111,114,116,101,114,115,32,102,111,114,32,98,117,105,108,116, + 105,110,32,97,110,100,32,102,114,111,122,101,110,32,109,111, + 100,117,108,101,115,78,41,6,114,31,1,0,0,114,21,0, + 0,0,114,245,0,0,0,114,146,0,0,0,114,199,0,0, + 0,114,218,0,0,0,169,2,114,29,1,0,0,114,30,1, + 0,0,32,32,114,32,1,0,0,114,6,0,0,0,114,6, + 0,0,0,114,7,0,0,0,218,8,95,105,110,115,116,97, + 108,108,172,4,0,0,115,6,0,0,0,10,2,12,2,16, + 1,114,20,0,0,0,114,33,1,0,0,99,0,0,0,0, + 0,0,0,0,0,0,0,0,4,0,0,0,67,0,0,0, + 115,32,0,0,0,100,1,100,2,108,0,125,0,124,0,97, + 1,124,0,160,2,116,3,106,4,116,5,25,0,161,1,1, + 0,100,2,83,0,41,3,122,57,73,110,115,116,97,108,108, + 32,105,109,112,111,114,116,101,114,115,32,116,104,97,116,32, + 114,101,113,117,105,114,101,32,101,120,116,101,114,110,97,108, + 32,102,105,108,101,115,121,115,116,101,109,32,97,99,99,101, + 115,115,114,28,0,0,0,78,41,6,218,26,95,102,114,111, + 122,101,110,95,105,109,112,111,114,116,108,105,98,95,101,120, + 116,101,114,110,97,108,114,155,0,0,0,114,33,1,0,0, + 114,21,0,0,0,114,116,0,0,0,114,10,0,0,0,169, + 1,114,34,1,0,0,32,114,35,1,0,0,114,6,0,0, + 0,114,6,0,0,0,114,7,0,0,0,218,27,95,105,110, + 115,116,97,108,108,95,101,120,116,101,114,110,97,108,95,105, + 109,112,111,114,116,101,114,115,180,4,0,0,115,6,0,0, + 0,8,3,4,1,20,1,114,20,0,0,0,114,36,1,0, + 0,114,215,0,0,0,114,0,0,0,0,114,27,0,0,0, + 41,4,78,78,114,6,0,0,0,114,28,0,0,0,41,54, + 114,11,0,0,0,114,8,0,0,0,114,29,0,0,0,114, + 112,0,0,0,114,77,0,0,0,114,155,0,0,0,114,19, + 0,0,0,114,24,0,0,0,114,71,0,0,0,114,40,0, + 0,0,114,51,0,0,0,114,25,0,0,0,114,26,0,0, + 0,114,59,0,0,0,114,61,0,0,0,114,64,0,0,0, + 114,80,0,0,0,114,83,0,0,0,114,93,0,0,0,114, + 106,0,0,0,114,111,0,0,0,114,123,0,0,0,114,137, + 0,0,0,114,138,0,0,0,114,115,0,0,0,114,175,0, + 0,0,114,182,0,0,0,114,186,0,0,0,114,131,0,0, + 0,114,117,0,0,0,114,195,0,0,0,114,197,0,0,0, + 114,118,0,0,0,114,199,0,0,0,114,218,0,0,0,114, + 228,0,0,0,114,241,0,0,0,114,244,0,0,0,114,247, + 0,0,0,114,253,0,0,0,90,15,95,69,82,82,95,77, + 83,71,95,80,82,69,70,73,88,114,255,0,0,0,114,3, + 1,0,0,218,6,111,98,106,101,99,116,114,4,1,0,0, + 114,6,1,0,0,114,7,1,0,0,114,12,1,0,0,114, + 20,1,0,0,114,24,1,0,0,114,26,1,0,0,114,31, + 1,0,0,114,33,1,0,0,114,36,1,0,0,114,6,0, + 0,0,114,6,0,0,0,114,6,0,0,0,114,6,0,0, + 0,114,7,0,0,0,218,8,60,109,111,100,117,108,101,62, + 1,0,0,0,115,104,0,0,0,4,0,8,22,4,9,4, + 1,4,1,4,3,8,3,8,8,4,8,4,2,16,3,14, + 4,14,77,14,21,8,16,8,37,8,17,14,11,8,8,8, + 11,8,12,8,19,14,26,16,101,10,26,14,45,8,72,8, + 17,8,17,8,30,8,36,8,45,14,15,14,80,14,85,8, + 13,8,9,10,10,8,47,4,16,8,1,8,2,6,32,8, + 3,10,16,14,15,8,37,10,27,8,37,8,7,8,35,12, + 8,114,20,0,0,0, }; diff --git a/Python/importlib_external.h b/Python/importlib_external.h index 07a42a7dca61e3..4fc72002ccf948 100644 --- a/Python/importlib_external.h +++ b/Python/importlib_external.h @@ -77,886 +77,909 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 0,115,28,0,0,0,129,0,124,0,93,9,125,1,116,0, 124,1,131,1,100,0,107,2,86,0,1,0,113,2,100,1, 83,0,41,2,233,1,0,0,0,78,41,1,218,3,108,101, - 110,41,2,218,2,46,48,218,3,115,101,112,169,0,114,7, - 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, - 112,95,101,120,116,101,114,110,97,108,62,218,9,60,103,101, - 110,101,120,112,114,62,46,0,0,0,115,4,0,0,0,6, - 128,22,0,243,0,0,0,0,114,9,0,0,0,218,0,99, - 1,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0, - 67,0,0,0,115,22,0,0,0,104,0,124,0,93,7,125, - 1,100,0,124,1,155,0,157,2,146,2,113,2,83,0,41, - 1,250,1,58,114,7,0,0,0,41,2,114,5,0,0,0, - 218,1,115,114,7,0,0,0,114,7,0,0,0,114,8,0, - 0,0,218,9,60,115,101,116,99,111,109,112,62,50,0,0, - 0,115,2,0,0,0,22,0,114,10,0,0,0,114,14,0, - 0,0,41,1,218,3,119,105,110,41,2,90,6,99,121,103, - 119,105,110,90,6,100,97,114,119,105,110,99,0,0,0,0, - 0,0,0,0,0,0,0,0,3,0,0,0,3,0,0,0, - 115,62,0,0,0,116,0,106,1,160,2,116,3,161,1,114, - 25,116,0,106,1,160,2,116,4,161,1,114,15,100,1,137, - 0,110,2,100,2,137,0,135,0,102,1,100,3,100,4,132, - 8,125,0,124,0,83,0,100,5,100,4,132,0,125,0,124, - 0,83,0,41,6,78,90,12,80,89,84,72,79,78,67,65, - 83,69,79,75,115,12,0,0,0,80,89,84,72,79,78,67, - 65,83,69,79,75,99,0,0,0,0,0,0,0,0,0,0, - 0,0,2,0,0,0,19,0,0,0,115,20,0,0,0,116, - 0,106,1,106,2,12,0,111,9,136,0,116,3,106,4,118, - 0,83,0,41,2,122,94,84,114,117,101,32,105,102,32,102, - 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, - 115,101,110,115,105,116,105,118,101,108,121,32,97,110,100,32, - 105,103,110,111,114,101,32,101,110,118,105,114,111,110,109,101, - 110,116,32,102,108,97,103,115,32,97,114,101,32,110,111,116, - 32,115,101,116,46,78,41,5,218,3,115,121,115,218,5,102, - 108,97,103,115,218,18,105,103,110,111,114,101,95,101,110,118, - 105,114,111,110,109,101,110,116,218,3,95,111,115,90,7,101, - 110,118,105,114,111,110,114,7,0,0,0,169,1,218,3,107, - 101,121,114,7,0,0,0,114,8,0,0,0,218,11,95,114, - 101,108,97,120,95,99,97,115,101,67,0,0,0,243,2,0, - 0,0,20,2,114,10,0,0,0,122,37,95,109,97,107,101, - 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, - 0,83,0,0,0,243,4,0,0,0,100,1,83,0,41,3, - 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, - 116,105,118,101,108,121,46,70,78,114,7,0,0,0,114,7, - 0,0,0,114,7,0,0,0,114,7,0,0,0,114,8,0, - 0,0,114,22,0,0,0,71,0,0,0,243,2,0,0,0, - 4,2,114,10,0,0,0,41,5,114,16,0,0,0,218,8, - 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, - 83,218,35,95,67,65,83,69,95,73,78,83,69,78,83,73, - 84,73,86,69,95,80,76,65,84,70,79,82,77,83,95,83, - 84,82,95,75,69,89,41,1,114,22,0,0,0,114,7,0, - 0,0,114,20,0,0,0,114,8,0,0,0,218,16,95,109, - 97,107,101,95,114,101,108,97,120,95,99,97,115,101,60,0, - 0,0,115,16,0,0,0,12,1,12,1,6,1,4,2,12, - 2,4,7,8,253,4,3,114,10,0,0,0,114,30,0,0, - 0,99,1,0,0,0,0,0,0,0,0,0,0,0,4,0, - 0,0,67,0,0,0,115,20,0,0,0,116,0,124,0,131, - 1,100,1,64,0,160,1,100,2,100,3,161,2,83,0,41, - 5,122,42,67,111,110,118,101,114,116,32,97,32,51,50,45, - 98,105,116,32,105,110,116,101,103,101,114,32,116,111,32,108, - 105,116,116,108,101,45,101,110,100,105,97,110,46,236,3,0, - 0,0,255,127,255,127,3,0,233,4,0,0,0,218,6,108, - 105,116,116,108,101,78,41,2,218,3,105,110,116,218,8,116, - 111,95,98,121,116,101,115,41,1,218,1,120,114,7,0,0, - 0,114,7,0,0,0,114,8,0,0,0,218,12,95,112,97, - 99,107,95,117,105,110,116,51,50,79,0,0,0,114,23,0, - 0,0,114,10,0,0,0,114,37,0,0,0,99,1,0,0, - 0,0,0,0,0,0,0,0,0,4,0,0,0,67,0,0, - 0,243,28,0,0,0,116,0,124,0,131,1,100,1,107,2, - 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114,10,0,0,0,114,46,0,0,0,99,0,0,0,0,0, - 0,0,0,0,0,0,0,4,0,0,0,71,0,0,0,115, - 228,0,0,0,124,0,115,4,100,1,83,0,116,0,124,0, - 131,1,100,2,107,2,114,14,124,0,100,3,25,0,83,0, - 100,1,125,1,103,0,125,2,116,1,116,2,106,3,124,0, - 131,2,68,0,93,61,92,2,125,3,125,4,124,3,160,4, - 116,5,161,1,115,38,124,3,160,6,116,5,161,1,114,51, - 124,3,160,7,116,8,161,1,112,44,124,1,125,1,116,9, - 124,4,23,0,103,1,125,2,113,24,124,3,160,6,100,4, - 161,1,114,76,124,1,160,10,161,0,124,3,160,10,161,0, - 107,3,114,70,124,3,125,1,124,4,103,1,125,2,113,24, - 124,2,160,11,124,4,161,1,1,0,113,24,124,3,112,79, - 124,1,125,1,124,2,160,11,124,4,161,1,1,0,113,24, - 100,5,100,6,132,0,124,2,68,0,131,1,125,2,116,0, - 124,2,131,1,100,2,107,2,114,107,124,2,100,3,25,0, - 115,107,124,1,116,9,23,0,83,0,124,1,116,9,160,12, - 124,2,161,1,23,0,83,0,41,8,250,31,82,101,112,108, - 97,99,101,109,101,110,116,32,102,111,114,32,111,115,46,112, - 97,116,104,46,106,111,105,110,40,41,46,114,11,0,0,0, - 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117,97,108,110,97,109,101,95,95,218,7,95,95,100,111,99, + 95,95,41,5,218,7,104,97,115,97,116,116,114,218,7,115, + 101,116,97,116,116,114,218,7,103,101,116,97,116,116,114,218, + 8,95,95,100,105,99,116,95,95,218,6,117,112,100,97,116, + 101,169,3,90,3,110,101,119,90,3,111,108,100,114,93,0, + 0,0,32,32,32,114,173,0,0,0,114,8,0,0,0,114, + 8,0,0,0,114,9,0,0,0,218,5,95,119,114,97,112, 46,2,0,0,115,10,0,0,0,8,1,10,1,18,1,2, - 128,18,1,114,10,0,0,0,122,26,95,99,104,101,99,107, + 128,18,1,114,11,0,0,0,122,26,95,99,104,101,99,107, 95,110,97,109,101,46,60,108,111,99,97,108,115,62,46,95, - 119,114,97,112,114,70,0,0,0,41,2,218,10,95,98,111, - 111,116,115,116,114,97,112,114,159,0,0,0,41,3,114,148, - 0,0,0,114,149,0,0,0,114,159,0,0,0,114,7,0, - 0,0,114,147,0,0,0,114,8,0,0,0,218,11,95,99, - 104,101,99,107,95,110,97,109,101,25,2,0,0,115,12,0, - 0,0,14,8,8,10,8,1,8,2,10,6,4,1,114,10, - 0,0,0,114,161,0,0,0,99,2,0,0,0,0,0,0, - 0,0,0,0,0,6,0,0,0,67,0,0,0,115,72,0, - 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106,101,99,116,32,105,110,32,123,33,114,125,169,2,114,142, - 0,0,0,114,66,0,0,0,41,10,218,7,109,97,114,115, - 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, - 112,101,114,160,0,0,0,114,174,0,0,0,218,4,95,105, - 109,112,90,16,95,102,105,120,95,99,111,95,102,105,108,101, - 110,97,109,101,114,143,0,0,0,114,90,0,0,0,41,5, - 114,42,0,0,0,114,142,0,0,0,114,133,0,0,0,114, - 135,0,0,0,218,4,99,111,100,101,114,7,0,0,0,114, - 7,0,0,0,114,8,0,0,0,218,17,95,99,111,109,112, - 105,108,101,95,98,121,116,101,99,111,100,101,161,2,0,0, - 115,18,0,0,0,10,2,10,1,12,1,8,1,12,1,4, - 1,10,2,4,1,6,255,114,10,0,0,0,114,190,0,0, - 0,99,3,0,0,0,0,0,0,0,0,0,0,0,5,0, - 0,0,67,0,0,0,115,70,0,0,0,116,0,116,1,131, - 1,125,3,124,3,160,2,116,3,100,1,131,1,161,1,1, - 0,124,3,160,2,116,3,124,1,131,1,161,1,1,0,124, - 3,160,2,116,3,124,2,131,1,161,1,1,0,124,3,160, - 2,116,4,160,5,124,0,161,1,161,1,1,0,124,3,83, - 0,41,3,122,43,80,114,111,100,117,99,101,32,116,104,101, - 32,100,97,116,97,32,102,111,114,32,97,32,116,105,109,101, - 115,116,97,109,112,45,98,97,115,101,100,32,112,121,99,46, - 114,0,0,0,0,78,41,6,218,9,98,121,116,101,97,114, - 114,97,121,114,173,0,0,0,218,6,101,120,116,101,110,100, - 114,37,0,0,0,114,185,0,0,0,218,5,100,117,109,112, - 115,41,4,114,189,0,0,0,218,5,109,116,105,109,101,114, - 180,0,0,0,114,42,0,0,0,114,7,0,0,0,114,7, - 0,0,0,114,8,0,0,0,218,22,95,99,111,100,101,95, - 116,111,95,116,105,109,101,115,116,97,109,112,95,112,121,99, - 174,2,0,0,115,12,0,0,0,8,2,14,1,14,1,14, - 1,16,1,4,1,114,10,0,0,0,114,195,0,0,0,84, - 99,3,0,0,0,0,0,0,0,0,0,0,0,5,0,0, - 0,67,0,0,0,115,80,0,0,0,116,0,116,1,131,1, - 125,3,100,1,124,2,100,1,62,0,66,0,125,4,124,3, - 160,2,116,3,124,4,131,1,161,1,1,0,116,4,124,1, - 131,1,100,2,107,2,115,25,74,0,130,1,124,3,160,2, - 124,1,161,1,1,0,124,3,160,2,116,5,160,6,124,0, - 161,1,161,1,1,0,124,3,83,0,41,4,122,38,80,114, - 111,100,117,99,101,32,116,104,101,32,100,97,116,97,32,102, - 111,114,32,97,32,104,97,115,104,45,98,97,115,101,100,32, - 112,121,99,46,114,3,0,0,0,114,171,0,0,0,78,41, - 7,114,191,0,0,0,114,173,0,0,0,114,192,0,0,0, - 114,37,0,0,0,114,4,0,0,0,114,185,0,0,0,114, - 193,0,0,0,41,5,114,189,0,0,0,114,182,0,0,0, - 90,7,99,104,101,99,107,101,100,114,42,0,0,0,114,17, - 0,0,0,114,7,0,0,0,114,7,0,0,0,114,8,0, + 0,0,0,115,70,0,0,0,116,0,116,1,131,1,125,3, + 124,3,160,2,116,3,100,1,131,1,161,1,1,0,124,3, + 160,2,116,3,124,1,131,1,161,1,1,0,124,3,160,2, + 116,3,124,2,131,1,161,1,1,0,124,3,160,2,116,4, + 160,5,124,0,161,1,161,1,1,0,124,3,83,0,41,3, + 122,43,80,114,111,100,117,99,101,32,116,104,101,32,100,97, + 116,97,32,102,111,114,32,97,32,116,105,109,101,115,116,97, + 109,112,45,98,97,115,101,100,32,112,121,99,46,114,0,0, + 0,0,78,41,6,218,9,98,121,116,101,97,114,114,97,121, + 114,189,0,0,0,218,6,101,120,116,101,110,100,114,40,0, + 0,0,114,204,0,0,0,218,5,100,117,109,112,115,169,4, + 114,209,0,0,0,218,5,109,116,105,109,101,114,198,0,0, + 0,114,45,0,0,0,32,32,32,32,114,214,0,0,0,114, + 8,0,0,0,114,8,0,0,0,114,9,0,0,0,218,22, + 95,99,111,100,101,95,116,111,95,116,105,109,101,115,116,97, + 109,112,95,112,121,99,174,2,0,0,115,12,0,0,0,8, + 2,14,1,14,1,14,1,16,1,4,1,114,11,0,0,0, + 114,216,0,0,0,84,99,3,0,0,0,0,0,0,0,0, + 0,0,0,5,0,0,0,67,0,0,0,115,80,0,0,0, + 116,0,116,1,131,1,125,3,100,1,124,2,100,1,62,0, + 66,0,125,4,124,3,160,2,116,3,124,4,131,1,161,1, + 1,0,116,4,124,1,131,1,100,2,107,2,115,25,74,0, + 130,1,124,3,160,2,124,1,161,1,1,0,124,3,160,2, + 116,5,160,6,124,0,161,1,161,1,1,0,124,3,83,0, + 41,4,122,38,80,114,111,100,117,99,101,32,116,104,101,32, + 100,97,116,97,32,102,111,114,32,97,32,104,97,115,104,45, + 98,97,115,101,100,32,112,121,99,46,114,3,0,0,0,114, + 187,0,0,0,78,41,7,114,211,0,0,0,114,189,0,0, + 0,114,212,0,0,0,114,40,0,0,0,114,4,0,0,0, + 114,204,0,0,0,114,213,0,0,0,169,5,114,209,0,0, + 0,114,201,0,0,0,90,7,99,104,101,99,107,101,100,114, + 45,0,0,0,114,19,0,0,0,32,32,32,32,32,114,217, + 0,0,0,114,8,0,0,0,114,8,0,0,0,114,9,0, 0,0,218,17,95,99,111,100,101,95,116,111,95,104,97,115, 104,95,112,121,99,184,2,0,0,115,14,0,0,0,8,2, - 12,1,14,1,16,1,10,1,16,1,4,1,114,10,0,0, - 0,114,196,0,0,0,99,1,0,0,0,0,0,0,0,0, + 12,1,14,1,16,1,10,1,16,1,4,1,114,11,0,0, + 0,114,218,0,0,0,99,1,0,0,0,0,0,0,0,0, 0,0,0,6,0,0,0,67,0,0,0,115,62,0,0,0, 100,1,100,2,108,0,125,1,116,1,160,2,124,0,161,1, 106,3,125,2,124,1,160,4,124,2,161,1,125,3,116,1, @@ -970,334 +993,341 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 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, 111,100,105,110,103,46,10,32,32,32,32,114,0,0,0,0, - 78,84,41,7,218,8,116,111,107,101,110,105,122,101,114,92, + 78,84,41,7,218,8,116,111,107,101,110,105,122,101,114,100, 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, - 117,114,99,101,95,98,121,116,101,115,114,197,0,0,0,90, + 101,114,218,6,100,101,99,111,100,101,169,5,218,12,115,111, + 117,114,99,101,95,98,121,116,101,115,114,219,0,0,0,90, 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, - 114,114,7,0,0,0,114,7,0,0,0,114,8,0,0,0, - 218,13,100,101,99,111,100,101,95,115,111,117,114,99,101,195, - 2,0,0,115,10,0,0,0,8,5,12,1,10,1,12,1, - 20,1,114,10,0,0,0,114,201,0,0,0,169,2,114,165, - 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, - 2,0,0,0,0,0,0,0,2,0,0,0,8,0,0,0, - 67,0,0,0,115,60,1,0,0,124,1,100,1,117,0,114, - 29,100,2,125,1,116,0,124,2,100,3,131,2,114,28,9, - 0,124,2,160,1,124,0,161,1,125,1,110,39,35,0,4, - 0,116,2,121,157,1,0,1,0,1,0,89,0,110,30,37, - 0,110,28,116,3,160,4,124,1,161,1,125,1,116,5,124, - 1,131,1,115,57,9,0,116,6,116,3,160,7,161,0,124, - 1,131,2,125,1,110,10,35,0,4,0,116,8,121,156,1, - 0,1,0,1,0,89,0,110,1,37,0,116,9,160,10,124, - 0,124,2,124,1,100,4,166,3,125,4,100,5,124,4,95, - 11,124,2,100,1,117,0,114,99,116,12,131,0,68,0,93, - 21,92,2,125,5,125,6,124,1,160,13,116,14,124,6,131, - 1,161,1,114,96,124,5,124,0,124,1,131,2,125,2,124, - 2,124,4,95,15,1,0,113,99,113,75,100,1,83,0,124, - 3,116,16,117,0,114,131,116,0,124,2,100,6,131,2,114, - 130,9,0,124,2,160,17,124,0,161,1,125,7,110,10,35, - 0,4,0,116,2,121,155,1,0,1,0,1,0,89,0,110, - 10,37,0,124,7,114,130,103,0,124,4,95,18,110,3,124, - 3,124,4,95,18,124,4,106,18,103,0,107,2,114,153,124, - 1,114,153,116,19,124,1,131,1,100,7,25,0,125,8,124, - 4,106,18,160,20,124,8,161,1,1,0,124,4,83,0,119, - 0,119,0,119,0,41,8,97,61,1,0,0,82,101,116,117, - 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, - 97,109,101,169,1,218,6,111,114,105,103,105,110,84,218,10, - 105,115,95,112,97,99,107,97,103,101,114,0,0,0,0,41, - 21,114,154,0,0,0,114,204,0,0,0,114,143,0,0,0, - 114,19,0,0,0,114,104,0,0,0,114,87,0,0,0,114, - 68,0,0,0,114,83,0,0,0,114,77,0,0,0,114,160, - 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, - 105,108,101,95,108,111,97,100,101,114,115,114,59,0,0,0, - 114,137,0,0,0,114,165,0,0,0,218,9,95,80,79,80, - 85,76,65,84,69,114,207,0,0,0,114,203,0,0,0,114, - 75,0,0,0,114,62,0,0,0,41,9,114,142,0,0,0, - 90,8,108,111,99,97,116,105,111,110,114,165,0,0,0,114, - 203,0,0,0,218,4,115,112,101,99,218,12,108,111,97,100, - 101,114,95,99,108,97,115,115,218,8,115,117,102,102,105,120, - 101,115,114,207,0,0,0,90,7,100,105,114,110,97,109,101, - 114,7,0,0,0,114,7,0,0,0,114,8,0,0,0,218, - 23,115,112,101,99,95,102,114,111,109,95,102,105,108,101,95, - 108,111,99,97,116,105,111,110,212,2,0,0,115,96,0,0, - 0,8,12,4,4,10,1,2,2,12,1,2,128,12,1,4, - 1,2,128,2,251,10,7,8,1,2,1,16,1,2,128,12, - 1,4,1,2,128,16,8,6,1,8,3,14,1,14,1,10, - 1,6,1,4,1,2,253,4,5,8,3,10,2,2,1,12, - 1,2,128,12,1,4,1,2,128,4,2,6,1,2,128,6, - 2,10,1,4,1,12,1,12,1,4,2,2,244,2,228,2, - 249,115,44,0,0,0,140,5,18,0,146,7,27,7,167,7, - 47,0,175,7,56,7,193,45,5,65,51,0,193,51,7,65, - 60,7,194,27,1,65,60,7,194,28,1,56,7,194,29,1, - 27,7,114,214,0,0,0,99,0,0,0,0,0,0,0,0, - 0,0,0,0,4,0,0,0,64,0,0,0,115,88,0,0, - 0,101,0,90,1,100,0,90,2,100,1,90,3,100,2,90, - 4,100,3,90,5,101,6,111,15,100,4,101,7,118,0,90, - 8,101,9,100,5,100,6,132,0,131,1,90,10,101,11,100, - 7,100,8,132,0,131,1,90,12,101,11,100,14,100,10,100, - 11,132,1,131,1,90,13,101,11,100,15,100,12,100,13,132, - 1,131,1,90,14,100,9,83,0,41,16,218,21,87,105,110, - 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, - 117,103,122,6,95,100,46,112,121,100,99,1,0,0,0,0, - 0,0,0,0,0,0,0,8,0,0,0,67,0,0,0,115, - 52,0,0,0,9,0,116,0,160,1,116,0,106,2,124,0, - 161,2,83,0,35,0,4,0,116,3,121,25,1,0,1,0, - 1,0,116,0,160,1,116,0,106,4,124,0,161,2,6,0, - 89,0,83,0,37,0,119,0,114,70,0,0,0,41,5,218, - 6,119,105,110,114,101,103,90,7,79,112,101,110,75,101,121, - 90,17,72,75,69,89,95,67,85,82,82,69,78,84,95,85, - 83,69,82,114,77,0,0,0,90,18,72,75,69,89,95,76, - 79,67,65,76,95,77,65,67,72,73,78,69,114,20,0,0, - 0,114,7,0,0,0,114,7,0,0,0,114,8,0,0,0, - 218,14,95,111,112,101,110,95,114,101,103,105,115,116,114,121, - 41,3,0,0,115,14,0,0,0,2,2,14,1,2,128,12, - 1,18,1,2,128,2,255,115,12,0,0,0,129,6,8,0, - 136,14,24,7,153,1,24,7,122,36,87,105,110,100,111,119, - 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, - 0,0,0,0,0,0,0,0,0,0,0,9,0,0,0,67, - 0,0,0,115,136,0,0,0,124,0,106,0,114,7,124,0, - 106,1,125,2,110,3,124,0,106,2,125,2,124,2,160,3, - 124,1,100,1,116,4,106,5,100,0,100,2,133,2,25,0, - 22,0,100,3,166,2,125,3,9,0,124,0,160,6,124,3, - 161,1,53,0,125,4,116,7,160,8,124,4,100,4,161,2, - 125,5,100,0,4,0,4,0,131,3,1,0,110,11,35,0, - 49,0,115,48,119,4,37,0,1,0,1,0,1,0,89,0, - 1,0,1,0,124,5,83,0,35,0,4,0,116,9,121,67, - 1,0,1,0,1,0,89,0,100,0,83,0,37,0,119,0, - 41,5,78,122,5,37,100,46,37,100,114,45,0,0,0,41, - 2,114,164,0,0,0,90,11,115,121,115,95,118,101,114,115, - 105,111,110,114,11,0,0,0,41,10,218,11,68,69,66,85, - 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, - 73,83,84,82,89,95,75,69,89,114,90,0,0,0,114,16, - 0,0,0,218,12,118,101,114,115,105,111,110,95,105,110,102, - 111,114,217,0,0,0,114,216,0,0,0,90,10,81,117,101, - 114,121,86,97,108,117,101,114,77,0,0,0,41,6,218,3, - 99,108,115,114,164,0,0,0,90,12,114,101,103,105,115,116, - 114,121,95,107,101,121,114,21,0,0,0,90,4,104,107,101, - 121,218,8,102,105,108,101,112,97,116,104,114,7,0,0,0, - 114,7,0,0,0,114,8,0,0,0,218,16,95,115,101,97, - 114,99,104,95,114,101,103,105,115,116,114,121,48,3,0,0, - 115,34,0,0,0,6,2,8,1,6,2,6,1,16,1,6, - 255,2,2,12,1,12,1,12,255,22,128,4,4,2,128,12, - 254,6,1,2,128,2,255,115,39,0,0,0,153,5,56,0, - 158,7,43,3,165,6,56,0,171,4,47,11,175,1,56,0, - 176,3,47,11,179,3,56,0,184,7,65,2,7,193,3,1, - 65,2,7,122,38,87,105,110,100,111,119,115,82,101,103,105, - 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, - 0,0,0,0,0,0,0,0,0,8,0,0,0,67,0,0, - 0,115,122,0,0,0,124,0,160,0,124,1,161,1,125,4, - 124,4,100,0,117,0,114,11,100,0,83,0,9,0,116,1, - 124,4,131,1,1,0,110,11,35,0,4,0,116,2,121,60, - 1,0,1,0,1,0,89,0,100,0,83,0,37,0,116,3, - 131,0,68,0,93,26,92,2,125,5,125,6,124,4,160,4, - 116,5,124,6,131,1,161,1,114,57,116,6,160,7,124,1, - 124,5,124,1,124,4,131,2,124,4,100,1,166,3,125,7, - 124,7,2,0,1,0,83,0,113,31,100,0,83,0,119,0, - 41,2,78,114,205,0,0,0,41,8,114,224,0,0,0,114, - 76,0,0,0,114,77,0,0,0,114,209,0,0,0,114,59, - 0,0,0,114,137,0,0,0,114,160,0,0,0,218,16,115, - 112,101,99,95,102,114,111,109,95,108,111,97,100,101,114,41, - 8,114,222,0,0,0,114,164,0,0,0,114,66,0,0,0, - 218,6,116,97,114,103,101,116,114,223,0,0,0,114,165,0, - 0,0,114,213,0,0,0,114,211,0,0,0,114,7,0,0, - 0,114,7,0,0,0,114,8,0,0,0,218,9,102,105,110, - 100,95,115,112,101,99,63,3,0,0,115,38,0,0,0,10, - 2,8,1,4,1,2,1,10,1,2,128,12,1,6,1,2, - 128,14,1,14,1,6,1,8,1,2,1,6,254,8,3,2, - 252,4,255,2,254,115,12,0,0,0,140,4,17,0,145,7, - 27,7,188,1,27,7,122,31,87,105,110,100,111,119,115,82, - 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, - 0,0,0,0,4,0,0,0,67,0,0,0,115,42,0,0, - 0,116,0,160,1,100,1,116,2,161,2,1,0,124,0,160, - 3,124,1,124,2,161,2,125,3,124,3,100,2,117,1,114, - 19,124,3,106,4,83,0,100,2,83,0,41,3,122,106,70, - 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, - 97,116,101,100,46,32,32,85,115,101,32,102,105,110,100,95, - 115,112,101,99,40,41,32,105,110,115,116,101,97,100,46,10, - 10,32,32,32,32,32,32,32,32,122,112,87,105,110,100,111, - 119,115,82,101,103,105,115,116,114,121,70,105,110,100,101,114, - 46,102,105,110,100,95,109,111,100,117,108,101,40,41,32,105, - 115,32,100,101,112,114,101,99,97,116,101,100,32,97,110,100, - 32,115,108,97,116,101,100,32,102,111,114,32,114,101,109,111, - 118,97,108,32,105,110,32,80,121,116,104,111,110,32,51,46, - 49,50,59,32,117,115,101,32,102,105,110,100,95,115,112,101, - 99,40,41,32,105,110,115,116,101,97,100,78,169,5,114,100, - 0,0,0,114,101,0,0,0,114,102,0,0,0,114,227,0, - 0,0,114,165,0,0,0,169,4,114,222,0,0,0,114,164, - 0,0,0,114,66,0,0,0,114,211,0,0,0,114,7,0, - 0,0,114,7,0,0,0,114,8,0,0,0,218,11,102,105, - 110,100,95,109,111,100,117,108,101,79,3,0,0,115,14,0, - 0,0,6,7,2,2,4,254,12,3,8,1,6,1,4,2, - 114,10,0,0,0,122,33,87,105,110,100,111,119,115,82,101, - 103,105,115,116,114,121,70,105,110,100,101,114,46,102,105,110, - 100,95,109,111,100,117,108,101,169,2,78,78,114,70,0,0, - 0,41,15,114,151,0,0,0,114,150,0,0,0,114,152,0, - 0,0,114,153,0,0,0,114,220,0,0,0,114,219,0,0, - 0,218,11,95,77,83,95,87,73,78,68,79,87,83,218,18, - 69,88,84,69,78,83,73,79,78,95,83,85,70,70,73,88, - 69,83,114,218,0,0,0,218,12,115,116,97,116,105,99,109, - 101,116,104,111,100,114,217,0,0,0,218,11,99,108,97,115, - 115,109,101,116,104,111,100,114,224,0,0,0,114,227,0,0, - 0,114,230,0,0,0,114,7,0,0,0,114,7,0,0,0, - 114,7,0,0,0,114,8,0,0,0,114,215,0,0,0,29, - 3,0,0,115,30,0,0,0,8,0,4,2,2,3,2,255, - 2,4,2,255,12,3,2,2,10,1,2,6,10,1,2,14, - 12,1,2,15,16,1,114,10,0,0,0,114,215,0,0,0, - 99,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0, - 0,64,0,0,0,115,48,0,0,0,101,0,90,1,100,0, - 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, - 99,2,0,0,0,0,0,0,0,0,0,0,0,4,0,0, - 0,67,0,0,0,115,64,0,0,0,116,0,124,0,160,1, - 124,1,161,1,131,1,100,1,25,0,125,2,124,2,160,2, - 100,2,100,1,161,2,100,3,25,0,125,3,124,1,160,3, - 100,2,161,1,100,4,25,0,125,4,124,3,100,5,107,2, - 111,31,124,4,100,5,107,3,83,0,41,7,122,141,67,111, - 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, - 105,110,105,116,95,95,46,112,121,39,46,114,3,0,0,0, - 114,98,0,0,0,114,0,0,0,0,114,45,0,0,0,218, - 8,95,95,105,110,105,116,95,95,78,41,4,114,75,0,0, - 0,114,204,0,0,0,114,126,0,0,0,114,105,0,0,0, - 41,5,114,144,0,0,0,114,164,0,0,0,114,121,0,0, - 0,90,13,102,105,108,101,110,97,109,101,95,98,97,115,101, - 90,9,116,97,105,108,95,110,97,109,101,114,7,0,0,0, - 114,7,0,0,0,114,8,0,0,0,114,207,0,0,0,101, - 3,0,0,115,8,0,0,0,18,3,16,1,14,1,16,1, - 114,10,0,0,0,122,24,95,76,111,97,100,101,114,66,97, - 115,105,99,115,46,105,115,95,112,97,99,107,97,103,101,99, - 2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0, - 67,0,0,0,114,24,0,0,0,169,2,122,42,85,115,101, - 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, - 101,97,116,105,111,110,46,78,114,7,0,0,0,169,2,114, - 144,0,0,0,114,211,0,0,0,114,7,0,0,0,114,7, - 0,0,0,114,8,0,0,0,218,13,99,114,101,97,116,101, - 95,109,111,100,117,108,101,109,3,0,0,243,2,0,0,0, - 4,0,114,10,0,0,0,122,27,95,76,111,97,100,101,114, - 66,97,115,105,99,115,46,99,114,101,97,116,101,95,109,111, - 100,117,108,101,99,2,0,0,0,0,0,0,0,0,0,0, - 0,5,0,0,0,67,0,0,0,115,56,0,0,0,124,0, - 160,0,124,1,106,1,161,1,125,2,124,2,100,1,117,0, - 114,18,116,2,100,2,160,3,124,1,106,1,161,1,131,1, - 130,1,116,4,160,5,116,6,124,2,124,1,106,7,161,3, - 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, - 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100,78,169,5,114,109,0,0,0,114,110,0,0,0,114,111, + 0,0,0,114,253,0,0,0,114,181,0,0,0,169,4,114, + 247,0,0,0,114,180,0,0,0,114,70,0,0,0,114,235, + 0,0,0,32,32,32,32,114,255,0,0,0,114,8,0,0, + 0,114,8,0,0,0,114,9,0,0,0,218,11,102,105,110, + 100,95,109,111,100,117,108,101,79,3,0,0,115,14,0,0, + 0,6,7,2,2,4,254,12,3,8,1,6,1,4,2,114, + 11,0,0,0,122,33,87,105,110,100,111,119,115,82,101,103, + 105,115,116,114,121,70,105,110,100,101,114,46,102,105,110,100, + 95,109,111,100,117,108,101,169,2,78,78,114,76,0,0,0, + 41,15,114,165,0,0,0,114,164,0,0,0,114,166,0,0, + 0,114,167,0,0,0,114,244,0,0,0,114,243,0,0,0, + 218,11,95,77,83,95,87,73,78,68,79,87,83,218,18,69, + 88,84,69,78,83,73,79,78,95,83,85,70,70,73,88,69, + 83,114,242,0,0,0,218,12,115,116,97,116,105,99,109,101, + 116,104,111,100,114,241,0,0,0,218,11,99,108,97,115,115, + 109,101,116,104,111,100,114,249,0,0,0,114,253,0,0,0, + 114,0,1,0,0,114,8,0,0,0,114,8,0,0,0,114, + 8,0,0,0,114,8,0,0,0,114,9,0,0,0,114,239, + 0,0,0,29,3,0,0,115,30,0,0,0,8,0,4,2, + 2,3,2,255,2,4,2,255,12,3,2,2,10,1,2,6, + 10,1,2,14,12,1,2,15,16,1,114,11,0,0,0,114, + 239,0,0,0,99,0,0,0,0,0,0,0,0,0,0,0, + 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, + 100,101,114,46,99,2,0,0,0,0,0,0,0,0,0,0, + 0,4,0,0,0,67,0,0,0,115,64,0,0,0,116,0, + 124,0,160,1,124,1,161,1,131,1,100,1,25,0,125,2, + 124,2,160,2,100,2,100,1,161,2,100,3,25,0,125,3, + 124,1,160,3,100,2,161,1,100,4,25,0,125,4,124,3, + 100,5,107,2,111,31,124,4,100,5,107,3,83,0,41,7, + 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, + 3,0,0,0,114,107,0,0,0,114,0,0,0,0,114,48, + 0,0,0,218,8,95,95,105,110,105,116,95,95,78,41,4, + 114,81,0,0,0,114,227,0,0,0,114,136,0,0,0,114, + 114,0,0,0,169,5,114,158,0,0,0,114,180,0,0,0, + 114,131,0,0,0,90,13,102,105,108,101,110,97,109,101,95, + 98,97,115,101,90,9,116,97,105,108,95,110,97,109,101,32, + 32,32,32,32,114,8,1,0,0,114,8,0,0,0,114,8, + 0,0,0,114,9,0,0,0,114,230,0,0,0,101,3,0, + 0,115,8,0,0,0,18,3,16,1,14,1,16,1,114,11, + 0,0,0,122,24,95,76,111,97,100,101,114,66,97,115,105, + 99,115,46,105,115,95,112,97,99,107,97,103,101,99,2,0, + 0,0,0,0,0,0,0,0,0,0,1,0,0,0,67,0, + 0,0,114,26,0,0,0,169,2,122,42,85,115,101,32,100, + 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, + 116,105,111,110,46,78,114,8,0,0,0,169,2,114,158,0, + 0,0,114,235,0,0,0,32,32,114,10,1,0,0,114,8, + 0,0,0,114,8,0,0,0,114,9,0,0,0,218,13,99, + 114,101,97,116,101,95,109,111,100,117,108,101,109,3,0,0, + 243,2,0,0,0,4,0,114,11,0,0,0,122,27,95,76, + 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, + 0,0,0,0,0,0,5,0,0,0,67,0,0,0,115,56, + 0,0,0,124,0,160,0,124,1,106,1,161,1,125,2,124, + 2,100,1,117,0,114,18,116,2,100,2,160,3,124,1,106, + 1,161,1,131,1,130,1,116,4,160,5,116,6,124,2,124, + 1,106,7,161,3,1,0,100,1,83,0,41,3,122,19,69, + 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, + 95,99,111,100,101,114,165,0,0,0,114,157,0,0,0,114, + 98,0,0,0,114,175,0,0,0,218,25,95,99,97,108,108, + 95,119,105,116,104,95,102,114,97,109,101,115,95,114,101,109, + 111,118,101,100,218,4,101,120,101,99,114,171,0,0,0,169, + 3,114,158,0,0,0,218,6,109,111,100,117,108,101,114,209, + 0,0,0,32,32,32,114,16,1,0,0,114,8,0,0,0, + 114,8,0,0,0,114,9,0,0,0,218,11,101,120,101,99, + 95,109,111,100,117,108,101,112,3,0,0,115,12,0,0,0, + 12,2,8,1,4,1,8,1,4,255,20,2,114,11,0,0, + 0,122,25,95,76,111,97,100,101,114,66,97,115,105,99,115, + 46,101,120,101,99,95,109,111,100,117,108,101,99,2,0,0, + 0,0,0,0,0,0,0,0,0,4,0,0,0,67,0,0, + 0,115,12,0,0,0,116,0,160,1,124,0,124,1,161,2, + 83,0,41,2,122,26,84,104,105,115,32,109,101,116,104,111, + 100,32,105,115,32,100,101,112,114,101,99,97,116,101,100,46, + 78,41,2,114,175,0,0,0,218,17,95,108,111,97,100,95, + 109,111,100,117,108,101,95,115,104,105,109,169,2,114,158,0, + 0,0,114,180,0,0,0,32,32,114,20,1,0,0,114,8, + 0,0,0,114,8,0,0,0,114,9,0,0,0,218,11,108, + 111,97,100,95,109,111,100,117,108,101,120,3,0,0,115,2, + 0,0,0,12,3,114,11,0,0,0,122,25,95,76,111,97, + 100,101,114,66,97,115,105,99,115,46,108,111,97,100,95,109, + 111,100,117,108,101,78,41,8,114,165,0,0,0,114,164,0, + 0,0,114,166,0,0,0,114,167,0,0,0,114,230,0,0, + 0,114,11,1,0,0,114,18,1,0,0,114,21,1,0,0, + 114,8,0,0,0,114,8,0,0,0,114,8,0,0,0,114, + 8,0,0,0,114,9,0,0,0,114,6,1,0,0,96,3, + 0,0,115,12,0,0,0,8,0,4,2,8,3,8,8,8, + 3,12,8,114,11,0,0,0,114,6,1,0,0,99,0,0, + 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, + 9,100,10,132,0,90,7,100,11,100,12,156,1,100,13,100, + 14,132,2,90,8,100,15,100,16,132,0,90,9,100,17,83, + 0,41,18,218,12,83,111,117,114,99,101,76,111,97,100,101, + 114,99,2,0,0,0,0,0,0,0,0,0,0,0,1,0, + 0,0,67,0,0,0,115,4,0,0,0,116,0,130,1,41, + 2,122,165,79,112,116,105,111,110,97,108,32,109,101,116,104, + 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, + 112,101,99,105,102,105,101,100,32,112,97,116,104,32,40,97, + 32,115,116,114,41,46,10,10,32,32,32,32,32,32,32,32, + 82,97,105,115,101,115,32,79,83,69,114,114,111,114,32,119, + 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, + 32,32,32,32,32,32,32,32,78,41,1,114,83,0,0,0, + 169,2,114,158,0,0,0,114,70,0,0,0,32,32,114,23, + 1,0,0,114,8,0,0,0,114,8,0,0,0,114,9,0, 0,0,218,10,112,97,116,104,95,109,116,105,109,101,128,3, - 0,0,115,2,0,0,0,4,6,114,10,0,0,0,122,23, + 0,0,115,2,0,0,0,4,6,114,11,0,0,0,122,23, 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, 0,0,0,0,4,0,0,0,67,0,0,0,115,14,0,0, @@ -1328,38 +1358,39 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 101,115,32,79,83,69,114,114,111,114,32,119,104,101,110,32, 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, - 32,32,32,32,114,194,0,0,0,78,41,1,114,252,0,0, - 0,114,251,0,0,0,114,7,0,0,0,114,7,0,0,0, - 114,8,0,0,0,218,10,112,97,116,104,95,115,116,97,116, - 115,136,3,0,0,115,2,0,0,0,14,12,114,10,0,0, - 0,122,23,83,111,117,114,99,101,76,111,97,100,101,114,46, - 112,97,116,104,95,115,116,97,116,115,99,4,0,0,0,0, - 0,0,0,0,0,0,0,4,0,0,0,67,0,0,0,115, - 12,0,0,0,124,0,160,0,124,2,124,3,161,2,83,0, - 41,2,122,228,79,112,116,105,111,110,97,108,32,109,101,116, - 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, - 32,32,32,32,32,32,32,32,78,41,1,218,8,115,101,116, - 95,100,97,116,97,41,4,114,144,0,0,0,114,135,0,0, - 0,90,10,99,97,99,104,101,95,112,97,116,104,114,42,0, - 0,0,114,7,0,0,0,114,7,0,0,0,114,8,0,0, + 32,32,32,32,114,215,0,0,0,78,41,1,114,24,1,0, + 0,114,23,1,0,0,32,32,114,23,1,0,0,114,8,0, + 0,0,114,8,0,0,0,114,9,0,0,0,218,10,112,97, + 116,104,95,115,116,97,116,115,136,3,0,0,115,2,0,0, + 0,14,12,114,11,0,0,0,122,23,83,111,117,114,99,101, + 76,111,97,100,101,114,46,112,97,116,104,95,115,116,97,116, + 115,99,4,0,0,0,0,0,0,0,0,0,0,0,4,0, + 0,0,67,0,0,0,115,12,0,0,0,124,0,160,0,124, + 2,124,3,161,2,83,0,41,2,122,228,79,112,116,105,111, + 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, + 115,115,105,111,110,115,10,32,32,32,32,32,32,32,32,78, + 41,1,218,8,115,101,116,95,100,97,116,97,169,4,114,158, + 0,0,0,114,147,0,0,0,90,10,99,97,99,104,101,95, + 112,97,116,104,114,45,0,0,0,32,32,32,32,114,27,1, + 0,0,114,8,0,0,0,114,8,0,0,0,114,9,0,0, 0,218,15,95,99,97,99,104,101,95,98,121,116,101,99,111, - 100,101,150,3,0,0,115,2,0,0,0,12,8,114,10,0, + 100,101,150,3,0,0,115,2,0,0,0,12,8,114,11,0, 0,0,122,28,83,111,117,114,99,101,76,111,97,100,101,114, 46,95,99,97,99,104,101,95,98,121,116,101,99,111,100,101, 99,3,0,0,0,0,0,0,0,0,0,0,0,1,0,0, - 0,67,0,0,0,114,24,0,0,0,41,2,122,150,79,112, + 0,67,0,0,0,114,26,0,0,0,41,2,122,150,79,112, 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, @@ -1369,1450 +1400,1496 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 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, - 32,32,32,32,78,114,7,0,0,0,41,3,114,144,0,0, - 0,114,66,0,0,0,114,42,0,0,0,114,7,0,0,0, - 114,7,0,0,0,114,8,0,0,0,114,254,0,0,0,160, - 3,0,0,114,241,0,0,0,114,10,0,0,0,122,21,83, - 111,117,114,99,101,76,111,97,100,101,114,46,115,101,116,95, - 100,97,116,97,99,2,0,0,0,0,0,0,0,0,0,0, - 0,8,0,0,0,67,0,0,0,115,70,0,0,0,124,0, - 160,0,124,1,161,1,125,2,9,0,124,0,160,1,124,2, - 161,1,125,3,116,4,124,3,131,1,83,0,35,0,4,0, - 116,2,121,34,1,0,125,4,1,0,116,3,100,1,124,1, - 100,2,141,2,124,4,130,2,100,3,125,4,126,4,119,1, - 37,0,119,0,41,4,122,52,67,111,110,99,114,101,116,101, - 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, - 97,116,97,40,41,114,141,0,0,0,78,41,5,114,204,0, - 0,0,218,8,103,101,116,95,100,97,116,97,114,77,0,0, - 0,114,143,0,0,0,114,201,0,0,0,41,5,114,144,0, - 0,0,114,164,0,0,0,114,66,0,0,0,114,199,0,0, - 0,218,3,101,120,99,114,7,0,0,0,114,7,0,0,0, - 114,8,0,0,0,218,10,103,101,116,95,115,111,117,114,99, - 101,167,3,0,0,115,26,0,0,0,10,2,2,1,10,1, - 8,4,2,128,12,253,4,1,2,1,4,255,2,1,2,255, - 10,128,2,255,115,20,0,0,0,134,5,15,0,143,7,33, - 7,150,7,29,7,157,4,33,7,162,1,33,7,122,23,83, - 111,117,114,99,101,76,111,97,100,101,114,46,103,101,116,95, - 115,111,117,114,99,101,114,131,0,0,0,41,1,218,9,95, - 111,112,116,105,109,105,122,101,99,3,0,0,0,0,0,0, - 0,1,0,0,0,9,0,0,0,67,0,0,0,115,22,0, - 0,0,116,0,160,1,116,2,124,1,124,2,100,1,100,2, - 124,3,100,3,166,6,83,0,41,5,122,130,82,101,116,117, - 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, - 111,114,116,115,46,10,32,32,32,32,32,32,32,32,114,244, - 0,0,0,84,41,2,218,12,100,111,110,116,95,105,110,104, - 101,114,105,116,114,109,0,0,0,78,41,3,114,160,0,0, - 0,114,243,0,0,0,218,7,99,111,109,112,105,108,101,41, - 4,114,144,0,0,0,114,42,0,0,0,114,66,0,0,0, - 114,3,1,0,0,114,7,0,0,0,114,7,0,0,0,114, - 8,0,0,0,218,14,115,111,117,114,99,101,95,116,111,95, - 99,111,100,101,177,3,0,0,115,6,0,0,0,12,5,4, - 1,6,255,114,10,0,0,0,122,27,83,111,117,114,99,101, - 76,111,97,100,101,114,46,115,111,117,114,99,101,95,116,111, - 95,99,111,100,101,99,2,0,0,0,0,0,0,0,0,0, - 0,0,9,0,0,0,67,0,0,0,115,28,2,0,0,124, - 0,160,0,124,1,161,1,125,2,100,1,125,3,100,1,125, - 4,100,1,125,5,100,2,125,6,100,3,125,7,9,0,116, - 1,124,2,131,1,125,8,110,13,35,0,4,0,116,2,144, - 1,121,13,1,0,1,0,1,0,100,1,125,8,89,0,110, - 147,37,0,9,0,124,0,160,3,124,2,161,1,125,9,110, - 11,35,0,4,0,116,4,144,1,121,12,1,0,1,0,1, - 0,89,0,110,129,37,0,116,5,124,9,100,4,25,0,131, - 1,125,3,9,0,124,0,160,6,124,8,161,1,125,10,110, - 11,35,0,4,0,116,4,144,1,121,11,1,0,1,0,1, - 0,89,0,110,105,37,0,124,1,124,8,100,5,156,2,125, - 11,9,0,116,7,124,10,124,1,124,11,131,3,125,12,116, - 8,124,10,131,1,100,6,100,1,133,2,25,0,125,13,124, - 12,100,7,64,0,100,8,107,3,125,6,124,6,114,141,124, - 12,100,9,64,0,100,8,107,3,125,7,116,9,106,10,100, - 10,107,3,114,140,124,7,115,122,116,9,106,10,100,11,107, - 2,114,140,124,0,160,6,124,2,161,1,125,4,116,9,160, - 11,116,12,124,4,161,2,125,5,116,13,124,10,124,5,124, - 1,124,11,131,4,1,0,110,10,116,14,124,10,124,3,124, - 9,100,12,25,0,124,1,124,11,131,5,1,0,110,13,35, - 0,4,0,116,15,116,16,102,2,144,1,121,10,1,0,1, - 0,1,0,89,0,110,16,37,0,116,17,160,18,100,13,124, - 8,124,2,161,3,1,0,116,19,124,13,124,1,124,8,124, - 2,100,14,141,4,83,0,124,4,100,1,117,0,114,189,124, - 0,160,6,124,2,161,1,125,4,124,0,160,20,124,4,124, - 2,161,2,125,14,116,17,160,18,100,15,124,2,161,2,1, - 0,116,21,106,22,144,1,115,7,124,8,100,1,117,1,144, - 1,114,7,124,3,100,1,117,1,144,1,114,7,124,6,114, - 233,124,5,100,1,117,0,114,226,116,9,160,11,124,4,161, - 1,125,5,116,23,124,14,124,5,124,7,131,3,125,10,110, - 8,116,24,124,14,124,3,116,25,124,4,131,1,131,3,125, - 10,9,0,124,0,160,26,124,2,124,8,124,10,161,3,1, - 0,124,14,83,0,35,0,4,0,116,2,144,1,121,9,1, - 0,1,0,1,0,89,0,124,14,83,0,37,0,124,14,83, - 0,119,0,119,0,119,0,119,0,119,0,41,16,122,190,67, - 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, - 101,100,46,10,10,32,32,32,32,32,32,32,32,78,70,84, - 114,194,0,0,0,114,184,0,0,0,114,170,0,0,0,114, - 3,0,0,0,114,0,0,0,0,114,45,0,0,0,90,5, - 110,101,118,101,114,90,6,97,108,119,97,121,115,218,4,115, - 105,122,101,122,13,123,125,32,109,97,116,99,104,101,115,32, - 123,125,41,3,114,142,0,0,0,114,133,0,0,0,114,135, - 0,0,0,122,19,99,111,100,101,32,111,98,106,101,99,116, - 32,102,114,111,109,32,123,125,41,27,114,204,0,0,0,114, - 122,0,0,0,114,108,0,0,0,114,253,0,0,0,114,77, - 0,0,0,114,34,0,0,0,114,0,1,0,0,114,177,0, - 0,0,218,10,109,101,109,111,114,121,118,105,101,119,114,188, - 0,0,0,90,21,99,104,101,99,107,95,104,97,115,104,95, - 98,97,115,101,100,95,112,121,99,115,114,182,0,0,0,218, - 17,95,82,65,87,95,77,65,71,73,67,95,78,85,77,66, - 69,82,114,183,0,0,0,114,181,0,0,0,114,143,0,0, - 0,114,175,0,0,0,114,160,0,0,0,114,174,0,0,0, - 114,190,0,0,0,114,6,1,0,0,114,16,0,0,0,218, - 19,100,111,110,116,95,119,114,105,116,101,95,98,121,116,101, - 99,111,100,101,114,196,0,0,0,114,195,0,0,0,114,4, - 0,0,0,114,255,0,0,0,41,15,114,144,0,0,0,114, - 164,0,0,0,114,135,0,0,0,114,179,0,0,0,114,199, - 0,0,0,114,182,0,0,0,90,10,104,97,115,104,95,98, - 97,115,101,100,90,12,99,104,101,99,107,95,115,111,117,114, - 99,101,114,133,0,0,0,218,2,115,116,114,42,0,0,0, - 114,176,0,0,0,114,17,0,0,0,90,10,98,121,116,101, - 115,95,100,97,116,97,90,11,99,111,100,101,95,111,98,106, - 101,99,116,114,7,0,0,0,114,7,0,0,0,114,8,0, - 0,0,114,242,0,0,0,185,3,0,0,115,188,0,0,0, - 10,7,4,1,4,1,4,1,4,1,4,1,2,1,10,1, - 2,128,14,1,8,1,2,128,2,2,12,1,2,128,14,1, - 4,1,2,128,12,2,2,1,12,1,2,128,14,1,4,1, - 2,128,2,3,2,1,6,254,2,4,12,1,16,1,12,1, - 4,1,12,1,10,1,2,1,2,255,8,2,2,254,10,3, - 4,1,2,1,2,1,4,254,8,4,2,1,4,255,2,128, - 2,3,2,1,2,1,6,1,2,1,2,1,4,251,4,128, - 18,7,4,1,2,128,8,2,2,1,4,255,6,2,2,1, - 2,1,6,254,8,3,10,1,12,1,12,1,18,1,6,1, - 4,255,4,2,8,1,10,1,14,1,6,2,6,1,4,255, - 2,2,14,1,4,3,2,128,14,254,2,1,4,1,2,128, - 4,0,2,254,2,233,2,225,2,250,2,251,115,80,0,0, - 0,144,4,21,0,149,10,33,7,163,5,41,0,169,8,51, - 7,187,5,65,1,0,193,1,8,65,11,7,193,18,65,5, - 66,24,0,194,24,10,66,36,7,195,50,7,67,59,0,195, - 59,8,68,6,7,196,9,1,68,6,7,196,10,1,66,36, - 7,196,11,1,65,11,7,196,12,1,51,7,196,13,1,33, - 7,122,21,83,111,117,114,99,101,76,111,97,100,101,114,46, - 103,101,116,95,99,111,100,101,78,41,10,114,151,0,0,0, - 114,150,0,0,0,114,152,0,0,0,114,252,0,0,0,114, - 253,0,0,0,114,255,0,0,0,114,254,0,0,0,114,2, - 1,0,0,114,6,1,0,0,114,242,0,0,0,114,7,0, - 0,0,114,7,0,0,0,114,7,0,0,0,114,8,0,0, - 0,114,250,0,0,0,126,3,0,0,115,16,0,0,0,8, - 0,8,2,8,8,8,14,8,10,8,7,14,10,12,8,114, - 10,0,0,0,114,250,0,0,0,99,0,0,0,0,0,0, - 0,0,0,0,0,0,4,0,0,0,0,0,0,0,115,92, - 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, - 6,100,7,132,0,90,6,101,7,135,0,102,1,100,8,100, - 9,132,8,131,1,90,8,101,7,100,10,100,11,132,0,131, - 1,90,9,100,12,100,13,132,0,90,10,101,7,100,14,100, - 15,132,0,131,1,90,11,135,0,4,0,90,12,83,0,41, - 16,218,10,70,105,108,101,76,111,97,100,101,114,122,103,66, - 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, - 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97,115,115,95,95,114,157,0,0,0,169,2,114,144,0,0, - 0,90,5,111,116,104,101,114,114,7,0,0,0,114,7,0, - 0,0,114,8,0,0,0,218,6,95,95,101,113,95,95,25, - 4,0,0,243,6,0,0,0,12,1,10,1,2,255,114,10, - 0,0,0,122,17,70,105,108,101,76,111,97,100,101,114,46, - 95,95,101,113,95,95,99,1,0,0,0,0,0,0,0,0, - 0,0,0,3,0,0,0,67,0,0,0,243,20,0,0,0, - 116,0,124,0,106,1,131,1,116,0,124,0,106,2,131,1, - 65,0,83,0,114,70,0,0,0,169,3,218,4,104,97,115, - 104,114,142,0,0,0,114,66,0,0,0,169,1,114,144,0, - 0,0,114,7,0,0,0,114,7,0,0,0,114,8,0,0, - 0,218,8,95,95,104,97,115,104,95,95,29,4,0,0,243, - 2,0,0,0,20,1,114,10,0,0,0,122,19,70,105,108, - 101,76,111,97,100,101,114,46,95,95,104,97,115,104,95,95, - 99,2,0,0,0,0,0,0,0,0,0,0,0,3,0,0, - 0,3,0,0,0,115,16,0,0,0,116,0,116,1,124,0, - 131,2,160,2,124,1,161,1,83,0,41,2,122,100,76,111, - 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, - 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0,67,0,0,0,114,26,0,0,0,41,2,122,63,82,101, + 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, + 32,99,111,100,101,32,111,98,106,101,99,116,46,78,114,8, + 0,0,0,114,20,1,0,0,32,32,114,20,1,0,0,114, + 8,0,0,0,114,8,0,0,0,114,9,0,0,0,114,13, + 1,0,0,173,4,0,0,114,27,0,0,0,114,11,0,0, + 0,122,28,69,120,116,101,110,115,105,111,110,70,105,108,101, + 76,111,97,100,101,114,46,103,101,116,95,99,111,100,101,99, 2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0, - 67,0,0,0,114,24,0,0,0,41,2,122,63,82,101,116, - 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, - 99,111,100,101,32,111,98,106,101,99,116,46,78,114,7,0, - 0,0,114,248,0,0,0,114,7,0,0,0,114,7,0,0, - 0,114,8,0,0,0,114,242,0,0,0,173,4,0,0,114, - 25,0,0,0,114,10,0,0,0,122,28,69,120,116,101,110, 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0,114,152,0,0,0,114,153,0,0,0,114,237,0,0,0, - 114,17,1,0,0,114,23,1,0,0,114,240,0,0,0,114, - 246,0,0,0,114,207,0,0,0,114,242,0,0,0,114,2, - 1,0,0,114,161,0,0,0,114,204,0,0,0,114,7,0, - 0,0,114,7,0,0,0,114,7,0,0,0,114,8,0,0, - 0,114,31,1,0,0,134,4,0,0,115,24,0,0,0,8, - 0,4,2,8,6,8,4,8,4,8,3,8,8,8,6,8, - 6,8,4,2,4,14,1,114,10,0,0,0,114,31,1,0, - 0,99,0,0,0,0,0,0,0,0,0,0,0,0,2,0, - 0,0,64,0,0,0,115,104,0,0,0,101,0,90,1,100, - 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, - 20,100,21,132,0,90,13,100,22,100,23,132,0,90,14,100, - 24,83,0,41,25,218,14,95,78,97,109,101,115,112,97,99, - 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, - 99,4,0,0,0,0,0,0,0,0,0,0,0,3,0,0, - 0,67,0,0,0,115,36,0,0,0,124,1,124,0,95,0, - 124,2,124,0,95,1,116,2,124,0,160,3,161,0,131,1, - 124,0,95,4,124,3,124,0,95,5,100,0,83,0,114,70, - 0,0,0,41,6,218,5,95,110,97,109,101,218,5,95,112, - 97,116,104,114,137,0,0,0,218,16,95,103,101,116,95,112, - 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, - 112,97,116,104,95,102,105,110,100,101,114,169,4,114,144,0, - 0,0,114,142,0,0,0,114,66,0,0,0,90,11,112,97, - 116,104,95,102,105,110,100,101,114,114,7,0,0,0,114,7, - 0,0,0,114,8,0,0,0,114,237,0,0,0,194,4,0, - 0,115,8,0,0,0,6,1,6,1,14,1,10,1,114,10, - 0,0,0,122,23,95,78,97,109,101,115,112,97,99,101,80, - 97,116,104,46,95,95,105,110,105,116,95,95,99,1,0,0, - 0,0,0,0,0,0,0,0,0,3,0,0,0,67,0,0, - 0,115,38,0,0,0,124,0,106,0,160,1,100,1,161,1, - 92,3,125,1,125,2,125,3,124,2,100,2,107,2,114,15, - 100,3,83,0,124,1,100,4,102,2,83,0,41,6,122,62, - 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108,105,110,103,32,98,97,99,107,32,116,111,32,102,105,110, - 100,95,109,111,100,117,108,101,40,41,41,11,114,154,0,0, - 0,114,160,0,0,0,90,12,95,111,98,106,101,99,116,95, - 110,97,109,101,114,100,0,0,0,114,101,0,0,0,114,163, - 0,0,0,114,162,0,0,0,114,230,0,0,0,114,225,0, - 0,0,114,208,0,0,0,114,203,0,0,0,41,7,114,222, - 0,0,0,114,164,0,0,0,114,83,1,0,0,114,167,0, - 0,0,114,165,0,0,0,114,166,0,0,0,114,211,0,0, - 0,114,7,0,0,0,114,7,0,0,0,114,8,0,0,0, - 218,16,95,108,101,103,97,99,121,95,103,101,116,95,115,112, - 101,99,92,5,0,0,115,26,0,0,0,10,4,16,1,12, - 2,16,1,16,2,12,2,10,1,4,1,8,1,12,1,12, - 1,6,1,4,1,114,10,0,0,0,122,27,80,97,116,104, - 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, - 0,0,0,0,0,5,0,0,0,67,0,0,0,115,166,0, - 0,0,103,0,125,4,124,2,68,0,93,67,125,5,116,0, - 124,5,116,1,116,2,102,2,131,2,115,14,113,4,124,0, - 160,3,124,5,161,1,125,6,124,6,100,1,117,1,114,71, - 116,4,124,6,100,2,131,2,114,35,124,6,160,5,124,1, 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108,32,105,110,32,80,121,116,104,111,110,32,51,46,49,50, - 59,32,117,115,101,32,102,105,110,100,95,115,112,101,99,40, - 41,32,105,110,115,116,101,97,100,78,114,228,0,0,0,114, - 229,0,0,0,114,7,0,0,0,114,7,0,0,0,114,8, - 0,0,0,114,230,0,0,0,169,5,0,0,115,14,0,0, - 0,6,8,2,2,4,254,12,3,8,1,4,1,6,1,114, - 10,0,0,0,122,22,80,97,116,104,70,105,110,100,101,114, - 46,102,105,110,100,95,109,111,100,117,108,101,99,0,0,0, - 0,0,0,0,0,0,0,0,0,4,0,0,0,79,0,0, - 0,115,28,0,0,0,100,1,100,2,108,0,109,1,125,2, - 1,0,124,2,106,2,124,0,105,0,124,1,164,1,142,1, - 83,0,41,4,97,32,1,0,0,10,32,32,32,32,32,32, - 32,32,70,105,110,100,32,100,105,115,116,114,105,98,117,116, - 105,111,110,115,46,10,10,32,32,32,32,32,32,32,32,82, - 101,116,117,114,110,32,97,110,32,105,116,101,114,97,98,108, - 101,32,111,102,32,97,108,108,32,68,105,115,116,114,105,98, - 117,116,105,111,110,32,105,110,115,116,97,110,99,101,115,32, - 99,97,112,97,98,108,101,32,111,102,10,32,32,32,32,32, - 32,32,32,108,111,97,100,105,110,103,32,116,104,101,32,109, - 101,116,97,100,97,116,97,32,102,111,114,32,112,97,99,107, - 97,103,101,115,32,109,97,116,99,104,105,110,103,32,96,96, - 99,111,110,116,101,120,116,46,110,97,109,101,96,96,10,32, - 32,32,32,32,32,32,32,40,111,114,32,97,108,108,32,110, - 97,109,101,115,32,105,102,32,96,96,78,111,110,101,96,96, - 32,105,110,100,105,99,97,116,101,100,41,32,97,108,111,110, - 103,32,116,104,101,32,112,97,116,104,115,32,105,110,32,116, - 104,101,32,108,105,115,116,10,32,32,32,32,32,32,32,32, - 111,102,32,100,105,114,101,99,116,111,114,105,101,115,32,96, - 96,99,111,110,116,101,120,116,46,112,97,116,104,96,96,46, - 10,32,32,32,32,32,32,32,32,114,0,0,0,0,41,1, - 218,18,77,101,116,97,100,97,116,97,80,97,116,104,70,105, - 110,100,101,114,78,41,3,90,18,105,109,112,111,114,116,108, - 105,98,46,109,101,116,97,100,97,116,97,114,93,1,0,0, - 218,18,102,105,110,100,95,100,105,115,116,114,105,98,117,116, - 105,111,110,115,41,3,114,145,0,0,0,114,146,0,0,0, - 114,93,1,0,0,114,7,0,0,0,114,7,0,0,0,114, - 8,0,0,0,114,94,1,0,0,185,5,0,0,115,4,0, - 0,0,12,10,16,1,114,10,0,0,0,122,29,80,97,116, - 104,70,105,110,100,101,114,46,102,105,110,100,95,100,105,115, - 116,114,105,98,117,116,105,111,110,115,114,70,0,0,0,114, - 231,0,0,0,41,14,114,151,0,0,0,114,150,0,0,0, - 114,152,0,0,0,114,153,0,0,0,114,234,0,0,0,114, - 79,1,0,0,114,85,1,0,0,114,235,0,0,0,114,88, - 1,0,0,114,89,1,0,0,114,92,1,0,0,114,227,0, - 0,0,114,230,0,0,0,114,94,1,0,0,114,7,0,0, - 0,114,7,0,0,0,114,7,0,0,0,114,8,0,0,0, - 114,78,1,0,0,43,5,0,0,115,36,0,0,0,8,0, - 4,2,2,2,10,1,2,9,10,1,2,12,10,1,2,21, - 10,1,2,20,12,1,2,31,12,1,2,23,12,1,2,15, - 14,1,114,10,0,0,0,114,78,1,0,0,99,0,0,0, - 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, - 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95,109,111,100,117,108,101,90,9,98,97,115,101,95,112,97, - 116,104,114,45,1,0,0,114,212,0,0,0,90,13,105,110, - 105,116,95,102,105,108,101,110,97,109,101,90,9,102,117,108, - 108,95,112,97,116,104,114,211,0,0,0,114,7,0,0,0, - 114,7,0,0,0,114,8,0,0,0,114,227,0,0,0,250, - 5,0,0,115,94,0,0,0,4,5,14,1,2,1,22,1, - 2,128,12,1,8,1,2,128,10,1,8,1,6,1,6,2, - 6,1,10,1,6,2,4,1,8,2,12,1,14,1,8,1, - 10,1,8,1,24,1,2,255,8,5,14,2,2,1,18,1, - 2,128,12,1,8,1,2,128,16,1,12,1,8,1,10,1, - 4,1,8,255,2,128,4,2,12,1,12,1,8,1,4,1, - 4,1,2,244,2,228,115,31,0,0,0,138,10,21,0,149, - 9,32,7,193,52,8,65,61,2,193,61,7,66,8,9,194, - 61,1,66,8,9,194,62,1,32,7,122,20,70,105,108,101, - 70,105,110,100,101,114,46,102,105,110,100,95,115,112,101,99, - 99,1,0,0,0,0,0,0,0,0,0,0,0,10,0,0, - 0,67,0,0,0,115,194,0,0,0,124,0,106,0,125,1, - 9,0,116,1,160,2,124,1,112,11,116,1,160,3,161,0, - 161,1,125,2,110,15,35,0,4,0,116,4,116,5,116,6, - 102,3,121,96,1,0,1,0,1,0,103,0,125,2,89,0, - 110,1,37,0,116,7,106,8,160,9,100,1,161,1,115,41, - 116,10,124,2,131,1,124,0,95,11,110,37,116,10,131,0, - 125,3,124,2,68,0,93,28,125,4,124,4,160,12,100,2, - 161,1,92,3,125,5,125,6,125,7,124,6,114,67,100,3, - 160,13,124,5,124,7,160,14,161,0,161,2,125,8,110,2, - 124,5,125,8,124,3,160,15,124,8,161,1,1,0,113,46, - 124,3,124,0,95,11,116,7,106,8,160,9,116,16,161,1, - 114,94,100,4,100,5,132,0,124,2,68,0,131,1,124,0, - 95,17,100,6,83,0,100,6,83,0,119,0,41,7,122,68, - 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, - 111,114,121,46,114,15,0,0,0,114,98,0,0,0,114,89, - 0,0,0,99,1,0,0,0,0,0,0,0,0,0,0,0, - 4,0,0,0,83,0,0,0,115,20,0,0,0,104,0,124, - 0,93,6,125,1,124,1,160,0,161,0,146,2,113,2,83, - 0,114,7,0,0,0,41,1,114,132,0,0,0,41,2,114, - 5,0,0,0,90,2,102,110,114,7,0,0,0,114,7,0, - 0,0,114,8,0,0,0,114,14,0,0,0,74,6,0,0, - 115,2,0,0,0,20,0,114,10,0,0,0,122,41,70,105, - 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, - 101,116,99,111,109,112,62,78,41,18,114,66,0,0,0,114, - 19,0,0,0,90,7,108,105,115,116,100,105,114,114,83,0, - 0,0,114,86,1,0,0,218,15,80,101,114,109,105,115,115, - 105,111,110,69,114,114,111,114,218,18,78,111,116,65,68,105, - 114,101,99,116,111,114,121,69,114,114,111,114,114,16,0,0, - 0,114,26,0,0,0,114,27,0,0,0,114,99,1,0,0, - 114,100,1,0,0,114,127,0,0,0,114,90,0,0,0,114, - 132,0,0,0,218,3,97,100,100,114,28,0,0,0,114,101, - 1,0,0,41,9,114,144,0,0,0,114,66,0,0,0,90, - 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, - 114,71,1,0,0,114,142,0,0,0,114,55,1,0,0,114, - 45,1,0,0,90,8,110,101,119,95,110,97,109,101,114,7, - 0,0,0,114,7,0,0,0,114,8,0,0,0,114,103,1, - 0,0,45,6,0,0,115,42,0,0,0,6,2,2,1,20, - 1,2,128,18,1,8,3,2,128,12,3,12,1,6,7,8, - 1,16,1,4,1,18,1,4,2,12,1,6,1,12,1,20, - 1,4,255,2,233,115,13,0,0,0,132,9,14,0,142,12, - 28,7,193,32,1,28,7,122,22,70,105,108,101,70,105,110, - 100,101,114,46,95,102,105,108,108,95,99,97,99,104,101,99, - 1,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0, - 7,0,0,0,115,18,0,0,0,135,0,135,1,102,2,100, - 1,100,2,132,8,125,2,124,2,83,0,41,4,97,20,1, - 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, - 32,32,32,32,32,32,99,1,0,0,0,0,0,0,0,0, - 0,0,0,4,0,0,0,19,0,0,0,115,36,0,0,0, - 116,0,124,0,131,1,115,10,116,1,100,1,124,0,100,2, - 141,2,130,1,136,0,124,0,103,1,136,1,162,1,82,0, - 142,0,83,0,41,4,122,45,80,97,116,104,32,104,111,111, - 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, - 111,114,116,101,100,114,72,0,0,0,78,41,2,114,84,0, - 0,0,114,143,0,0,0,114,72,0,0,0,169,2,114,222, - 0,0,0,114,102,1,0,0,114,7,0,0,0,114,8,0, - 0,0,218,24,112,97,116,104,95,104,111,111,107,95,102,111, - 114,95,70,105,108,101,70,105,110,100,101,114,86,6,0,0, - 115,6,0,0,0,8,2,12,1,16,1,114,10,0,0,0, - 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, - 108,101,70,105,110,100,101,114,78,114,7,0,0,0,41,3, - 114,222,0,0,0,114,102,1,0,0,114,108,1,0,0,114, - 7,0,0,0,114,107,1,0,0,114,8,0,0,0,218,9, - 112,97,116,104,95,104,111,111,107,76,6,0,0,115,4,0, - 0,0,14,10,4,6,114,10,0,0,0,122,20,70,105,108, - 101,70,105,110,100,101,114,46,112,97,116,104,95,104,111,111, - 107,99,1,0,0,0,0,0,0,0,0,0,0,0,3,0, - 0,0,67,0,0,0,114,68,1,0,0,41,2,78,122,16, - 70,105,108,101,70,105,110,100,101,114,40,123,33,114,125,41, - 41,2,114,90,0,0,0,114,66,0,0,0,114,22,1,0, - 0,114,7,0,0,0,114,7,0,0,0,114,8,0,0,0, - 114,69,1,0,0,94,6,0,0,114,62,1,0,0,114,10, - 0,0,0,122,19,70,105,108,101,70,105,110,100,101,114,46, - 95,95,114,101,112,114,95,95,114,70,0,0,0,41,15,114, - 151,0,0,0,114,150,0,0,0,114,152,0,0,0,114,153, - 0,0,0,114,237,0,0,0,114,79,1,0,0,114,168,0, - 0,0,114,230,0,0,0,114,162,0,0,0,114,92,1,0, - 0,114,227,0,0,0,114,103,1,0,0,114,235,0,0,0, - 114,109,1,0,0,114,69,1,0,0,114,7,0,0,0,114, - 7,0,0,0,114,7,0,0,0,114,8,0,0,0,114,95, - 1,0,0,199,5,0,0,115,24,0,0,0,8,0,4,2, - 8,7,8,16,4,4,8,2,8,15,10,5,8,51,2,31, - 10,1,12,17,114,10,0,0,0,114,95,1,0,0,99,4, - 0,0,0,0,0,0,0,0,0,0,0,8,0,0,0,67, - 0,0,0,115,146,0,0,0,124,0,160,0,100,1,161,1, - 125,4,124,0,160,0,100,2,161,1,125,5,124,4,115,33, - 124,5,114,18,124,5,106,1,125,4,110,15,124,2,124,3, - 107,2,114,28,116,2,124,1,124,2,131,2,125,4,110,5, - 116,3,124,1,124,2,131,2,125,4,124,5,115,42,116,4, - 124,1,124,2,124,4,100,3,141,3,125,5,9,0,124,5, - 124,0,100,2,60,0,124,4,124,0,100,1,60,0,124,2, - 124,0,100,4,60,0,124,3,124,0,100,5,60,0,100,0, - 83,0,35,0,4,0,116,5,121,72,1,0,1,0,1,0, - 89,0,100,0,83,0,37,0,119,0,41,6,78,218,10,95, - 95,108,111,97,100,101,114,95,95,218,8,95,95,115,112,101, - 99,95,95,114,96,1,0,0,90,8,95,95,102,105,108,101, - 95,95,90,10,95,95,99,97,99,104,101,100,95,95,41,6, - 218,3,103,101,116,114,165,0,0,0,114,42,1,0,0,114, - 35,1,0,0,114,214,0,0,0,218,9,69,120,99,101,112, - 116,105,111,110,41,6,90,2,110,115,114,142,0,0,0,90, - 8,112,97,116,104,110,97,109,101,90,9,99,112,97,116,104, - 110,97,109,101,114,165,0,0,0,114,211,0,0,0,114,7, - 0,0,0,114,7,0,0,0,114,8,0,0,0,218,14,95, - 102,105,120,95,117,112,95,109,111,100,117,108,101,100,6,0, - 0,115,40,0,0,0,10,2,10,1,4,1,4,1,8,1, - 8,1,12,1,10,2,4,1,14,1,2,1,8,1,8,1, - 8,1,12,1,2,128,12,1,6,2,2,128,2,254,115,15, - 0,0,0,171,16,61,0,189,7,65,7,7,193,8,1,65, - 7,7,114,114,1,0,0,99,0,0,0,0,0,0,0,0, - 0,0,0,0,3,0,0,0,67,0,0,0,115,38,0,0, - 0,116,0,116,1,160,2,161,0,102,2,125,0,116,3,116, - 4,102,2,125,1,116,5,116,6,102,2,125,2,124,0,124, - 1,124,2,103,3,83,0,41,2,122,95,82,101,116,117,114, - 110,115,32,97,32,108,105,115,116,32,111,102,32,102,105,108, - 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107,76,6,0,0,115,4,0,0,0,14,10,4,6,114,11, + 0,0,0,122,20,70,105,108,101,70,105,110,100,101,114,46, + 112,97,116,104,95,104,111,111,107,99,1,0,0,0,0,0, + 0,0,0,0,0,0,3,0,0,0,67,0,0,0,114,116, + 1,0,0,41,2,78,122,16,70,105,108,101,70,105,110,100, + 101,114,40,123,33,114,125,41,41,2,114,98,0,0,0,114, + 70,0,0,0,114,56,1,0,0,32,114,56,1,0,0,114, + 8,0,0,0,114,8,0,0,0,114,9,0,0,0,114,117, + 1,0,0,94,6,0,0,114,108,1,0,0,114,11,0,0, + 0,122,19,70,105,108,101,70,105,110,100,101,114,46,95,95, + 114,101,112,114,95,95,114,76,0,0,0,41,15,114,165,0, + 0,0,114,164,0,0,0,114,166,0,0,0,114,167,0,0, + 0,114,7,1,0,0,114,129,1,0,0,114,184,0,0,0, + 114,0,1,0,0,114,177,0,0,0,114,147,1,0,0,114, + 253,0,0,0,114,163,1,0,0,114,5,1,0,0,114,172, + 1,0,0,114,117,1,0,0,114,8,0,0,0,114,8,0, + 0,0,114,8,0,0,0,114,8,0,0,0,114,9,0,0, + 0,114,152,1,0,0,199,5,0,0,115,24,0,0,0,8, + 0,4,2,8,7,8,16,4,4,8,2,8,15,10,5,8, + 51,2,31,10,1,12,17,114,11,0,0,0,114,152,1,0, + 0,99,4,0,0,0,0,0,0,0,0,0,0,0,8,0, + 0,0,67,0,0,0,115,146,0,0,0,124,0,160,0,100, + 1,161,1,125,4,124,0,160,0,100,2,161,1,125,5,124, + 4,115,33,124,5,114,18,124,5,106,1,125,4,110,15,124, + 2,124,3,107,2,114,28,116,2,124,1,124,2,131,2,125, + 4,110,5,116,3,124,1,124,2,131,2,125,4,124,5,115, + 42,116,4,124,1,124,2,124,4,100,3,141,3,125,5,9, + 0,124,5,124,0,100,2,60,0,124,4,124,0,100,1,60, + 0,124,2,124,0,100,4,60,0,124,3,124,0,100,5,60, + 0,100,0,83,0,35,0,4,0,116,5,121,72,1,0,1, + 0,1,0,89,0,100,0,83,0,37,0,119,0,41,6,78, + 218,10,95,95,108,111,97,100,101,114,95,95,218,8,95,95, + 115,112,101,99,95,95,114,153,1,0,0,90,8,95,95,102, + 105,108,101,95,95,90,10,95,95,99,97,99,104,101,100,95, + 95,41,6,218,3,103,101,116,114,181,0,0,0,114,81,1, + 0,0,114,71,1,0,0,114,238,0,0,0,218,9,69,120, + 99,101,112,116,105,111,110,169,6,90,2,110,115,114,156,0, + 0,0,90,8,112,97,116,104,110,97,109,101,90,9,99,112, + 97,116,104,110,97,109,101,114,181,0,0,0,114,235,0,0, + 0,32,32,32,32,32,32,114,177,1,0,0,114,8,0,0, + 0,114,8,0,0,0,114,9,0,0,0,218,14,95,102,105, + 120,95,117,112,95,109,111,100,117,108,101,100,6,0,0,115, + 40,0,0,0,10,2,10,1,4,1,4,1,8,1,8,1, + 12,1,10,2,4,1,14,1,2,1,8,1,8,1,8,1, + 12,1,2,128,12,1,6,2,2,128,2,254,115,15,0,0, + 0,171,16,61,0,189,7,65,7,7,193,8,1,65,7,7, + 114,178,1,0,0,99,0,0,0,0,0,0,0,0,0,0, + 0,0,3,0,0,0,67,0,0,0,115,38,0,0,0,116, + 0,116,1,160,2,161,0,102,2,125,0,116,3,116,4,102, + 2,125,1,116,5,116,6,102,2,125,2,124,0,124,1,124, + 2,103,3,83,0,41,2,122,95,82,101,116,117,114,110,115, + 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, + 115,41,46,10,32,32,32,32,78,41,7,114,65,1,0,0, + 114,207,0,0,0,218,18,101,120,116,101,110,115,105,111,110, + 95,115,117,102,102,105,120,101,115,114,71,1,0,0,114,138, + 0,0,0,114,81,1,0,0,114,123,0,0,0,169,3,90, + 10,101,120,116,101,110,115,105,111,110,115,90,6,115,111,117, + 114,99,101,90,8,98,121,116,101,99,111,100,101,32,32,32, + 114,180,1,0,0,114,8,0,0,0,114,8,0,0,0,114, + 9,0,0,0,114,232,0,0,0,123,6,0,0,115,8,0, + 0,0,12,5,8,1,8,1,10,1,114,11,0,0,0,114, + 232,0,0,0,99,1,0,0,0,0,0,0,0,0,0,0, + 0,1,0,0,0,67,0,0,0,115,8,0,0,0,124,0, + 97,0,100,0,83,0,114,76,0,0,0,41,1,114,175,0, + 0,0,169,1,218,17,95,98,111,111,116,115,116,114,97,112, + 95,109,111,100,117,108,101,32,114,181,1,0,0,114,8,0, + 0,0,114,8,0,0,0,114,9,0,0,0,218,21,95,115, + 101,116,95,98,111,111,116,115,116,114,97,112,95,109,111,100, + 117,108,101,134,6,0,0,115,2,0,0,0,8,2,114,11, + 0,0,0,114,183,1,0,0,99,1,0,0,0,0,0,0, + 0,0,0,0,0,4,0,0,0,67,0,0,0,115,50,0, + 0,0,116,0,124,0,131,1,1,0,116,1,131,0,125,1, + 116,2,106,3,160,4,116,5,106,6,124,1,142,0,103,1, + 161,1,1,0,116,2,106,7,160,8,116,9,161,1,1,0, + 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, + 46,78,41,10,114,183,1,0,0,114,232,0,0,0,114,18, + 0,0,0,114,135,1,0,0,114,212,0,0,0,114,152,1, + 0,0,114,172,1,0,0,218,9,109,101,116,97,95,112,97, + 116,104,114,65,0,0,0,114,128,1,0,0,169,2,114,182, + 1,0,0,90,17,115,117,112,112,111,114,116,101,100,95,108, + 111,97,100,101,114,115,32,32,114,185,1,0,0,114,8,0, + 0,0,114,8,0,0,0,114,9,0,0,0,218,8,95,105, + 110,115,116,97,108,108,139,6,0,0,115,8,0,0,0,8, + 2,6,1,20,1,16,1,114,11,0,0,0,114,186,1,0, + 0,41,1,114,96,0,0,0,114,76,0,0,0,41,3,78, + 78,78,41,2,114,0,0,0,0,114,0,0,0,0,41,1, + 84,41,85,114,167,0,0,0,114,175,0,0,0,114,207,0, + 0,0,114,100,0,0,0,114,18,0,0,0,114,109,0,0, + 0,114,204,0,0,0,114,28,0,0,0,114,2,1,0,0, + 90,2,110,116,114,21,0,0,0,114,240,0,0,0,90,5, + 112,111,115,105,120,114,54,0,0,0,218,3,97,108,108,114, + 63,0,0,0,114,149,0,0,0,114,61,0,0,0,114,66, + 0,0,0,90,20,95,112,97,116,104,115,101,112,115,95,119, + 105,116,104,95,99,111,108,111,110,114,31,0,0,0,90,37, + 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, + 83,95,75,69,89,114,30,0,0,0,114,32,0,0,0,114, + 24,0,0,0,114,40,0,0,0,114,46,0,0,0,114,49, + 0,0,0,114,72,0,0,0,114,81,0,0,0,114,82,0, + 0,0,114,87,0,0,0,114,88,0,0,0,114,91,0,0, + 0,114,95,0,0,0,114,105,0,0,0,218,4,116,121,112, + 101,218,8,95,95,99,111,100,101,95,95,114,206,0,0,0, + 114,37,0,0,0,114,189,0,0,0,114,36,0,0,0,114, + 43,0,0,0,114,41,1,0,0,114,126,0,0,0,114,122, + 0,0,0,114,138,0,0,0,114,65,0,0,0,114,179,1, + 0,0,114,3,1,0,0,114,123,0,0,0,90,23,68,69, + 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, - 122,0,0,0,114,129,0,0,0,114,136,0,0,0,114,138, - 0,0,0,114,140,0,0,0,114,161,0,0,0,114,168,0, - 0,0,114,177,0,0,0,114,181,0,0,0,114,183,0,0, - 0,114,190,0,0,0,114,195,0,0,0,114,196,0,0,0, - 114,201,0,0,0,218,6,111,98,106,101,99,116,114,210,0, - 0,0,114,214,0,0,0,114,215,0,0,0,114,236,0,0, - 0,114,250,0,0,0,114,12,1,0,0,114,35,1,0,0, - 114,42,1,0,0,114,31,1,0,0,114,48,1,0,0,114, - 74,1,0,0,114,78,1,0,0,114,95,1,0,0,114,114, - 1,0,0,114,209,0,0,0,114,117,1,0,0,114,119,1, - 0,0,114,7,0,0,0,114,7,0,0,0,114,7,0,0, - 0,114,8,0,0,0,218,8,60,109,111,100,117,108,101,62, - 1,0,0,0,115,180,0,0,0,4,0,4,22,8,3,8, - 1,8,1,8,1,8,1,10,3,4,1,8,1,10,1,8, - 2,4,3,10,1,6,2,22,2,8,1,8,1,10,1,14, - 1,4,4,4,1,2,1,2,1,4,255,8,4,6,16,8, - 3,8,5,8,5,4,6,10,1,8,30,8,6,8,8,8, - 10,8,9,8,5,4,7,10,1,8,8,10,5,10,22,0, - 127,16,33,12,1,4,2,4,1,6,2,4,1,10,1,8, - 2,6,2,8,2,16,2,8,71,8,40,8,19,8,12,8, - 12,8,31,8,20,8,33,8,28,10,24,10,13,10,10,8, - 11,6,14,4,3,2,1,12,255,14,73,14,67,16,30,0, - 127,14,17,18,50,18,45,18,25,14,53,14,63,14,49,0, - 127,14,29,0,127,10,30,8,23,8,11,12,5,114,10,0, - 0,0, + 69,83,114,132,0,0,0,114,140,0,0,0,114,148,0,0, + 0,114,151,0,0,0,114,154,0,0,0,114,176,0,0,0, + 114,184,0,0,0,114,194,0,0,0,114,199,0,0,0,114, + 202,0,0,0,114,210,0,0,0,114,216,0,0,0,114,218, + 0,0,0,114,224,0,0,0,218,6,111,98,106,101,99,116, + 114,233,0,0,0,114,238,0,0,0,114,239,0,0,0,114, + 6,1,0,0,114,22,1,0,0,114,45,1,0,0,114,71, + 1,0,0,114,81,1,0,0,114,65,1,0,0,114,91,1, + 0,0,114,122,1,0,0,114,128,1,0,0,114,152,1,0, + 0,114,178,1,0,0,114,232,0,0,0,114,183,1,0,0, + 114,186,1,0,0,114,8,0,0,0,114,8,0,0,0,114, + 8,0,0,0,114,8,0,0,0,114,9,0,0,0,218,8, + 60,109,111,100,117,108,101,62,1,0,0,0,115,180,0,0, + 0,4,0,4,22,8,3,8,1,8,1,8,1,8,1,10, + 3,4,1,8,1,10,1,8,2,4,3,10,1,6,2,22, + 2,8,1,8,1,10,1,14,1,4,4,4,1,2,1,2, + 1,4,255,8,4,6,16,8,3,8,5,8,5,4,6,10, + 1,8,30,8,6,8,8,8,10,8,9,8,5,4,7,10, + 1,8,8,10,5,10,22,0,127,16,33,12,1,4,2,4, + 1,6,2,4,1,10,1,8,2,6,2,8,2,16,2,8, + 71,8,40,8,19,8,12,8,12,8,31,8,20,8,33,8, + 28,10,24,10,13,10,10,8,11,6,14,4,3,2,1,12, + 255,14,73,14,67,16,30,0,127,14,17,18,50,18,45,18, + 25,14,53,14,63,14,49,0,127,14,29,0,127,10,30,8, + 23,8,11,12,5,114,11,0,0,0, }; diff --git a/Python/importlib_zipimport.h b/Python/importlib_zipimport.h index 988d938f10b861..b38efa29edd3a3 100644 --- a/Python/importlib_zipimport.h +++ b/Python/importlib_zipimport.h @@ -70,243 +70,246 @@ const unsigned char _Py_M__zipimport[] = { 0,41,2,114,3,0,0,0,78,41,3,218,8,95,95,110, 97,109,101,95,95,218,10,95,95,109,111,100,117,108,101,95, 95,218,12,95,95,113,117,97,108,110,97,109,101,95,95,169, - 0,114,9,0,0,0,114,9,0,0,0,250,18,60,102,114, - 111,122,101,110,32,122,105,112,105,109,112,111,114,116,62,114, - 3,0,0,0,34,0,0,0,115,4,0,0,0,8,0,4, - 1,243,0,0,0,0,233,22,0,0,0,115,4,0,0,0, - 80,75,5,6,105,255,255,0,0,99,0,0,0,0,0,0, - 0,0,0,0,0,0,3,0,0,0,64,0,0,0,115,126, - 0,0,0,101,0,90,1,100,0,90,2,100,1,90,3,100, - 2,100,3,132,0,90,4,100,29,100,5,100,6,132,1,90, - 5,100,29,100,7,100,8,132,1,90,6,100,29,100,9,100, - 10,132,1,90,7,100,11,100,12,132,0,90,8,100,13,100, - 14,132,0,90,9,100,15,100,16,132,0,90,10,100,17,100, - 18,132,0,90,11,100,19,100,20,132,0,90,12,100,21,100, - 22,132,0,90,13,100,23,100,24,132,0,90,14,100,25,100, - 26,132,0,90,15,100,27,100,28,132,0,90,16,100,4,83, - 0,41,30,114,4,0,0,0,97,255,1,0,0,122,105,112, - 105,109,112,111,114,116,101,114,40,97,114,99,104,105,118,101, - 112,97,116,104,41,32,45,62,32,122,105,112,105,109,112,111, - 114,116,101,114,32,111,98,106,101,99,116,10,10,32,32,32, - 32,67,114,101,97,116,101,32,97,32,110,101,119,32,122,105, - 112,105,109,112,111,114,116,101,114,32,105,110,115,116,97,110, - 99,101,46,32,39,97,114,99,104,105,118,101,112,97,116,104, - 39,32,109,117,115,116,32,98,101,32,97,32,112,97,116,104, - 32,116,111,10,32,32,32,32,97,32,122,105,112,102,105,108, - 101,44,32,111,114,32,116,111,32,97,32,115,112,101,99,105, - 102,105,99,32,112,97,116,104,32,105,110,115,105,100,101,32, - 97,32,122,105,112,102,105,108,101,46,32,70,111,114,32,101, - 120,97,109,112,108,101,44,32,105,116,32,99,97,110,32,98, - 101,10,32,32,32,32,39,47,116,109,112,47,109,121,105,109, - 112,111,114,116,46,122,105,112,39,44,32,111,114,32,39,47, - 116,109,112,47,109,121,105,109,112,111,114,116,46,122,105,112, - 47,109,121,100,105,114,101,99,116,111,114,121,39,44,32,105, - 102,32,109,121,100,105,114,101,99,116,111,114,121,32,105,115, - 32,97,10,32,32,32,32,118,97,108,105,100,32,100,105,114, - 101,99,116,111,114,121,32,105,110,115,105,100,101,32,116,104, - 101,32,97,114,99,104,105,118,101,46,10,10,32,32,32,32, - 39,90,105,112,73,109,112,111,114,116,69,114,114,111,114,32, - 105,115,32,114,97,105,115,101,100,32,105,102,32,39,97,114, - 99,104,105,118,101,112,97,116,104,39,32,100,111,101,115,110, - 39,116,32,112,111,105,110,116,32,116,111,32,97,32,118,97, - 108,105,100,32,90,105,112,10,32,32,32,32,97,114,99,104, - 105,118,101,46,10,10,32,32,32,32,84,104,101,32,39,97, - 114,99,104,105,118,101,39,32,97,116,116,114,105,98,117,116, - 101,32,111,102,32,122,105,112,105,109,112,111,114,116,101,114, - 32,111,98,106,101,99,116,115,32,99,111,110,116,97,105,110, - 115,32,116,104,101,32,110,97,109,101,32,111,102,32,116,104, - 101,10,32,32,32,32,122,105,112,102,105,108,101,32,116,97, - 114,103,101,116,101,100,46,10,32,32,32,32,99,2,0,0, - 0,0,0,0,0,0,0,0,0,9,0,0,0,67,0,0, - 0,115,40,1,0,0,116,0,124,1,116,1,131,2,115,14, - 100,1,100,0,108,2,125,2,124,2,160,3,124,1,161,1, - 125,1,124,1,115,22,116,4,100,2,124,1,100,3,141,2, - 130,1,116,5,114,30,124,1,160,6,116,5,116,7,161,2, - 125,1,103,0,125,3,9,0,9,0,116,8,160,9,124,1, - 161,1,125,4,110,36,35,0,4,0,116,10,116,11,102,2, - 121,147,1,0,1,0,1,0,116,8,160,12,124,1,161,1, - 92,2,125,5,125,6,124,5,124,1,107,2,114,66,116,4, - 100,5,124,1,100,3,141,2,130,1,124,5,125,1,124,3, - 160,13,124,6,161,1,1,0,89,0,110,15,37,0,124,4, - 106,14,100,6,64,0,100,7,107,3,114,89,116,4,100,5, - 124,1,100,3,141,2,130,1,113,91,113,33,9,0,116,15, - 124,1,25,0,125,7,110,18,35,0,4,0,116,16,121,146, - 1,0,1,0,1,0,116,17,124,1,131,1,125,7,124,7, - 116,15,124,1,60,0,89,0,110,1,37,0,124,7,124,0, - 95,18,124,1,124,0,95,19,116,8,106,20,124,3,100,0, - 100,0,100,8,133,3,25,0,142,0,124,0,95,21,124,0, - 106,21,114,144,124,0,4,0,106,21,116,7,55,0,2,0, - 95,21,100,0,83,0,100,0,83,0,119,0,119,0,41,9, - 78,114,0,0,0,0,122,21,97,114,99,104,105,118,101,32, - 112,97,116,104,32,105,115,32,101,109,112,116,121,169,1,218, - 4,112,97,116,104,84,122,14,110,111,116,32,97,32,90,105, - 112,32,102,105,108,101,105,0,240,0,0,105,0,128,0,0, - 233,255,255,255,255,41,22,218,10,105,115,105,110,115,116,97, - 110,99,101,218,3,115,116,114,218,2,111,115,90,8,102,115, - 100,101,99,111,100,101,114,3,0,0,0,218,12,97,108,116, - 95,112,97,116,104,95,115,101,112,218,7,114,101,112,108,97, - 99,101,218,8,112,97,116,104,95,115,101,112,218,19,95,98, - 111,111,116,115,116,114,97,112,95,101,120,116,101,114,110,97, - 108,90,10,95,112,97,116,104,95,115,116,97,116,218,7,79, - 83,69,114,114,111,114,218,10,86,97,108,117,101,69,114,114, - 111,114,90,11,95,112,97,116,104,95,115,112,108,105,116,218, - 6,97,112,112,101,110,100,90,7,115,116,95,109,111,100,101, - 218,20,95,122,105,112,95,100,105,114,101,99,116,111,114,121, - 95,99,97,99,104,101,218,8,75,101,121,69,114,114,111,114, - 218,15,95,114,101,97,100,95,100,105,114,101,99,116,111,114, - 121,218,6,95,102,105,108,101,115,218,7,97,114,99,104,105, - 118,101,218,10,95,112,97,116,104,95,106,111,105,110,218,6, - 112,114,101,102,105,120,41,8,218,4,115,101,108,102,114,14, - 0,0,0,114,18,0,0,0,114,32,0,0,0,90,2,115, - 116,90,7,100,105,114,110,97,109,101,90,8,98,97,115,101, - 110,97,109,101,218,5,102,105,108,101,115,114,9,0,0,0, - 114,9,0,0,0,114,10,0,0,0,218,8,95,95,105,110, - 105,116,95,95,64,0,0,0,115,76,0,0,0,10,1,8, - 1,10,1,4,1,12,1,4,1,12,1,4,2,2,1,2, - 1,12,1,2,128,16,1,14,3,8,1,12,1,4,1,14, - 1,2,128,14,3,12,2,2,1,2,240,2,18,10,1,2, - 128,12,1,8,1,12,1,2,128,6,1,6,1,22,2,6, - 1,18,1,4,255,2,249,2,239,115,33,0,0,0,162,5, - 40,0,168,33,65,11,7,193,28,4,65,33,0,193,33,15, - 65,50,7,194,18,1,65,50,7,194,19,1,65,11,7,122, - 20,122,105,112,105,109,112,111,114,116,101,114,46,95,95,105, - 110,105,116,95,95,78,99,3,0,0,0,0,0,0,0,0, - 0,0,0,4,0,0,0,67,0,0,0,115,90,0,0,0, - 116,0,160,1,100,1,116,2,161,2,1,0,116,3,124,0, - 124,1,131,2,125,3,124,3,100,2,117,1,114,19,124,0, - 103,0,102,2,83,0,116,4,124,0,124,1,131,2,125,4, - 116,5,124,0,124,4,131,2,114,41,100,2,124,0,106,6, - 155,0,116,7,155,0,124,4,155,0,157,3,103,1,102,2, - 83,0,100,2,103,0,102,2,83,0,41,3,97,47,2,0, - 0,102,105,110,100,95,108,111,97,100,101,114,40,102,117,108, - 108,110,97,109,101,44,32,112,97,116,104,61,78,111,110,101, - 41,32,45,62,32,115,101,108,102,44,32,115,116,114,32,111, - 114,32,78,111,110,101,46,10,10,32,32,32,32,32,32,32, - 32,83,101,97,114,99,104,32,102,111,114,32,97,32,109,111, - 100,117,108,101,32,115,112,101,99,105,102,105,101,100,32,98, - 121,32,39,102,117,108,108,110,97,109,101,39,46,32,39,102, - 117,108,108,110,97,109,101,39,32,109,117,115,116,32,98,101, - 32,116,104,101,10,32,32,32,32,32,32,32,32,102,117,108, - 108,121,32,113,117,97,108,105,102,105,101,100,32,40,100,111, - 116,116,101,100,41,32,109,111,100,117,108,101,32,110,97,109, - 101,46,32,73,116,32,114,101,116,117,114,110,115,32,116,104, - 101,32,122,105,112,105,109,112,111,114,116,101,114,10,32,32, - 32,32,32,32,32,32,105,110,115,116,97,110,99,101,32,105, - 116,115,101,108,102,32,105,102,32,116,104,101,32,109,111,100, - 117,108,101,32,119,97,115,32,102,111,117,110,100,44,32,97, - 32,115,116,114,105,110,103,32,99,111,110,116,97,105,110,105, - 110,103,32,116,104,101,10,32,32,32,32,32,32,32,32,102, - 117,108,108,32,112,97,116,104,32,110,97,109,101,32,105,102, - 32,105,116,39,115,32,112,111,115,115,105,98,108,121,32,97, - 32,112,111,114,116,105,111,110,32,111,102,32,97,32,110,97, - 109,101,115,112,97,99,101,32,112,97,99,107,97,103,101,44, - 10,32,32,32,32,32,32,32,32,111,114,32,78,111,110,101, - 32,111,116,104,101,114,119,105,115,101,46,32,84,104,101,32, - 111,112,116,105,111,110,97,108,32,39,112,97,116,104,39,32, - 97,114,103,117,109,101,110,116,32,105,115,32,105,103,110,111, - 114,101,100,32,45,45,32,105,116,39,115,10,32,32,32,32, - 32,32,32,32,116,104,101,114,101,32,102,111,114,32,99,111, - 109,112,97,116,105,98,105,108,105,116,121,32,119,105,116,104, - 32,116,104,101,32,105,109,112,111,114,116,101,114,32,112,114, - 111,116,111,99,111,108,46,10,10,32,32,32,32,32,32,32, - 32,68,101,112,114,101,99,97,116,101,100,32,115,105,110,99, - 101,32,80,121,116,104,111,110,32,51,46,49,48,46,32,85, - 115,101,32,102,105,110,100,95,115,112,101,99,40,41,32,105, - 110,115,116,101,97,100,46,10,32,32,32,32,32,32,32,32, - 122,102,122,105,112,105,109,112,111,114,116,101,114,46,102,105, - 110,100,95,108,111,97,100,101,114,40,41,32,105,115,32,100, - 101,112,114,101,99,97,116,101,100,32,97,110,100,32,115,108, - 97,116,101,100,32,102,111,114,32,114,101,109,111,118,97,108, - 32,105,110,32,80,121,116,104,111,110,32,51,46,49,50,59, - 32,117,115,101,32,102,105,110,100,95,115,112,101,99,40,41, - 32,105,110,115,116,101,97,100,78,41,8,218,9,95,119,97, - 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, - 218,16,95,103,101,116,95,109,111,100,117,108,101,95,105,110, - 102,111,218,16,95,103,101,116,95,109,111,100,117,108,101,95, - 112,97,116,104,218,7,95,105,115,95,100,105,114,114,30,0, - 0,0,114,21,0,0,0,41,5,114,33,0,0,0,218,8, - 102,117,108,108,110,97,109,101,114,14,0,0,0,218,2,109, - 105,218,7,109,111,100,112,97,116,104,114,9,0,0,0,114, - 9,0,0,0,114,10,0,0,0,218,11,102,105,110,100,95, - 108,111,97,100,101,114,110,0,0,0,115,20,0,0,0,6, - 12,2,2,4,254,10,3,8,1,8,2,10,7,10,1,24, - 4,8,2,114,11,0,0,0,122,23,122,105,112,105,109,112, - 111,114,116,101,114,46,102,105,110,100,95,108,111,97,100,101, - 114,99,3,0,0,0,0,0,0,0,0,0,0,0,4,0, - 0,0,67,0,0,0,115,28,0,0,0,116,0,160,1,100, - 1,116,2,161,2,1,0,124,0,160,3,124,1,124,2,161, - 2,100,2,25,0,83,0,41,4,97,203,1,0,0,102,105, - 110,100,95,109,111,100,117,108,101,40,102,117,108,108,110,97, - 109,101,44,32,112,97,116,104,61,78,111,110,101,41,32,45, - 62,32,115,101,108,102,32,111,114,32,78,111,110,101,46,10, - 10,32,32,32,32,32,32,32,32,83,101,97,114,99,104,32, - 102,111,114,32,97,32,109,111,100,117,108,101,32,115,112,101, - 99,105,102,105,101,100,32,98,121,32,39,102,117,108,108,110, - 97,109,101,39,46,32,39,102,117,108,108,110,97,109,101,39, - 32,109,117,115,116,32,98,101,32,116,104,101,10,32,32,32, - 32,32,32,32,32,102,117,108,108,121,32,113,117,97,108,105, - 102,105,101,100,32,40,100,111,116,116,101,100,41,32,109,111, - 100,117,108,101,32,110,97,109,101,46,32,73,116,32,114,101, - 116,117,114,110,115,32,116,104,101,32,122,105,112,105,109,112, - 111,114,116,101,114,10,32,32,32,32,32,32,32,32,105,110, - 115,116,97,110,99,101,32,105,116,115,101,108,102,32,105,102, - 32,116,104,101,32,109,111,100,117,108,101,32,119,97,115,32, - 102,111,117,110,100,44,32,111,114,32,78,111,110,101,32,105, - 102,32,105,116,32,119,97,115,110,39,116,46,10,32,32,32, - 32,32,32,32,32,84,104,101,32,111,112,116,105,111,110,97, - 108,32,39,112,97,116,104,39,32,97,114,103,117,109,101,110, - 116,32,105,115,32,105,103,110,111,114,101,100,32,45,45,32, - 105,116,39,115,32,116,104,101,114,101,32,102,111,114,32,99, - 111,109,112,97,116,105,98,105,108,105,116,121,10,32,32,32, - 32,32,32,32,32,119,105,116,104,32,116,104,101,32,105,109, - 112,111,114,116,101,114,32,112,114,111,116,111,99,111,108,46, - 10,10,32,32,32,32,32,32,32,32,68,101,112,114,101,99, - 97,116,101,100,32,115,105,110,99,101,32,80,121,116,104,111, - 110,32,51,46,49,48,46,32,85,115,101,32,102,105,110,100, - 95,115,112,101,99,40,41,32,105,110,115,116,101,97,100,46, - 10,32,32,32,32,32,32,32,32,122,102,122,105,112,105,109, - 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4,124,0,124,4,131,2,114,52,124,0,106,5,155,0,116, - 6,155,0,124,4,155,0,157,3,125,5,116,1,160,7,124, - 1,100,1,100,3,100,4,166,3,125,6,124,6,106,8,160, - 9,124,5,161,1,1,0,124,6,83,0,100,1,83,0,41, - 5,122,107,67,114,101,97,116,101,32,97,32,77,111,100,117, - 108,101,83,112,101,99,32,102,111,114,32,116,104,101,32,115, - 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, - 115,32,78,111,110,101,32,105,102,32,116,104,101,32,109,111, - 100,117,108,101,32,99,97,110,110,111,116,32,98,101,32,102, - 111,117,110,100,46,10,32,32,32,32,32,32,32,32,78,41, - 1,218,10,105,115,95,112,97,99,107,97,103,101,84,41,3, - 218,4,110,97,109,101,90,6,108,111,97,100,101,114,114,47, - 0,0,0,41,10,114,39,0,0,0,218,10,95,98,111,111, - 116,115,116,114,97,112,90,16,115,112,101,99,95,102,114,111, - 109,95,108,111,97,100,101,114,114,40,0,0,0,114,41,0, - 0,0,114,30,0,0,0,114,21,0,0,0,90,10,77,111, - 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110,100,32,115,108,97,116,101,100,32,102,111,114,32,114,101, + 109,111,118,97,108,32,105,110,32,80,121,116,104,111,110,32, + 51,46,49,50,59,32,117,115,101,32,102,105,110,100,95,115, + 112,101,99,40,41,32,105,110,115,116,101,97,100,114,0,0, + 0,0,78,41,4,114,37,0,0,0,114,38,0,0,0,114, + 39,0,0,0,114,47,0,0,0,169,3,114,34,0,0,0, + 114,44,0,0,0,114,14,0,0,0,32,32,32,114,48,0, + 0,0,114,9,0,0,0,114,9,0,0,0,114,10,0,0, + 0,218,11,102,105,110,100,95,109,111,100,117,108,101,147,0, + 0,0,115,8,0,0,0,6,11,2,2,4,254,16,3,114, + 11,0,0,0,122,23,122,105,112,105,109,112,111,114,116,101, + 114,46,102,105,110,100,95,109,111,100,117,108,101,99,3,0, + 0,0,0,0,0,0,0,0,0,0,6,0,0,0,67,0, + 0,0,115,108,0,0,0,116,0,124,0,124,1,131,2,125, + 3,124,3,100,1,117,1,114,17,116,1,160,2,124,1,124, + 0,124,3,100,2,166,3,83,0,116,3,124,0,124,1,131, + 2,125,4,116,4,124,0,124,4,131,2,114,52,124,0,106, + 5,155,0,116,6,155,0,124,4,155,0,157,3,125,5,116, + 1,160,7,124,1,100,1,100,3,100,4,166,3,125,6,124, + 6,106,8,160,9,124,5,161,1,1,0,124,6,83,0,100, + 1,83,0,41,5,122,107,67,114,101,97,116,101,32,97,32, + 77,111,100,117,108,101,83,112,101,99,32,102,111,114,32,116, + 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, + 116,117,114,110,115,32,78,111,110,101,32,105,102,32,116,104, + 101,32,109,111,100,117,108,101,32,99,97,110,110,111,116,32, + 98,101,32,102,111,117,110,100,46,10,32,32,32,32,32,32, + 32,32,78,41,1,218,10,105,115,95,112,97,99,107,97,103, + 101,84,41,3,218,4,110,97,109,101,90,6,108,111,97,100, + 101,114,114,50,0,0,0,41,10,114,40,0,0,0,218,10, + 95,98,111,111,116,115,116,114,97,112,90,16,115,112,101,99, + 95,102,114,111,109,95,108,111,97,100,101,114,114,41,0,0, + 0,114,42,0,0,0,114,30,0,0,0,114,21,0,0,0, + 90,10,77,111,100,117,108,101,83,112,101,99,90,26,115,117, + 98,109,111,100,117,108,101,95,115,101,97,114,99,104,95,108, + 111,99,97,116,105,111,110,115,114,25,0,0,0,169,7,114, + 34,0,0,0,114,44,0,0,0,90,6,116,97,114,103,101, + 116,90,11,109,111,100,117,108,101,95,105,110,102,111,114,46, + 0,0,0,114,14,0,0,0,90,4,115,112,101,99,32,32, + 32,32,32,32,32,114,53,0,0,0,114,9,0,0,0,114, 9,0,0,0,114,10,0,0,0,218,9,102,105,110,100,95, 115,112,101,99,163,0,0,0,115,24,0,0,0,10,5,8, 1,16,1,10,7,10,1,18,4,8,1,2,1,6,255,12, @@ -327,122 +330,125 @@ const unsigned char _Py_M__zipimport[] = { 110,39,116,32,98,101,32,105,109,112,111,114,116,101,100,46, 10,32,32,32,32,32,32,32,32,78,169,1,218,16,95,103, 101,116,95,109,111,100,117,108,101,95,99,111,100,101,169,5, - 114,33,0,0,0,114,42,0,0,0,218,4,99,111,100,101, - 218,9,105,115,112,97,99,107,97,103,101,114,44,0,0,0, - 114,9,0,0,0,114,9,0,0,0,114,10,0,0,0,218, - 8,103,101,116,95,99,111,100,101,190,0,0,0,115,4,0, - 0,0,16,6,4,1,114,11,0,0,0,122,20,122,105,112, - 105,109,112,111,114,116,101,114,46,103,101,116,95,99,111,100, - 101,99,2,0,0,0,0,0,0,0,0,0,0,0,8,0, - 0,0,67,0,0,0,115,114,0,0,0,116,0,114,8,124, - 1,160,1,116,0,116,2,161,2,125,1,124,1,125,2,124, - 1,160,3,124,0,106,4,116,2,23,0,161,1,114,29,124, - 1,116,5,124,0,106,4,116,2,23,0,131,1,100,1,133, - 2,25,0,125,2,9,0,124,0,106,6,124,2,25,0,125, - 3,110,14,35,0,4,0,116,7,121,56,1,0,1,0,1, - 0,116,8,100,2,100,3,124,2,131,3,130,1,37,0,116, - 9,124,0,106,4,124,3,131,2,83,0,119,0,41,4,122, - 154,103,101,116,95,100,97,116,97,40,112,97,116,104,110,97, - 109,101,41,32,45,62,32,115,116,114,105,110,103,32,119,105, - 116,104,32,102,105,108,101,32,100,97,116,97,46,10,10,32, - 32,32,32,32,32,32,32,82,101,116,117,114,110,32,116,104, - 101,32,100,97,116,97,32,97,115,115,111,99,105,97,116,101, - 100,32,119,105,116,104,32,39,112,97,116,104,110,97,109,101, - 39,46,32,82,97,105,115,101,32,79,83,69,114,114,111,114, - 32,105,102,10,32,32,32,32,32,32,32,32,116,104,101,32, - 102,105,108,101,32,119,97,115,110,39,116,32,102,111,117,110, - 100,46,10,32,32,32,32,32,32,32,32,78,114,0,0,0, - 0,218,0,41,10,114,19,0,0,0,114,20,0,0,0,114, - 21,0,0,0,218,10,115,116,97,114,116,115,119,105,116,104, - 114,30,0,0,0,218,3,108,101,110,114,29,0,0,0,114, - 27,0,0,0,114,23,0,0,0,218,9,95,103,101,116,95, - 100,97,116,97,41,4,114,33,0,0,0,218,8,112,97,116, - 104,110,97,109,101,90,3,107,101,121,218,9,116,111,99,95, - 101,110,116,114,121,114,9,0,0,0,114,9,0,0,0,114, - 10,0,0,0,218,8,103,101,116,95,100,97,116,97,200,0, - 0,0,115,26,0,0,0,4,6,12,1,4,2,16,1,22, - 1,2,2,12,1,2,128,12,1,12,1,2,128,12,1,2, - 254,115,12,0,0,0,158,5,36,0,164,13,49,7,184,1, - 49,7,122,20,122,105,112,105,109,112,111,114,116,101,114,46, - 103,101,116,95,100,97,116,97,99,2,0,0,0,0,0,0, - 0,0,0,0,0,3,0,0,0,67,0,0,0,115,20,0, - 0,0,116,0,124,0,124,1,131,2,92,3,125,2,125,3, - 125,4,124,4,83,0,41,2,122,165,103,101,116,95,102,105, - 108,101,110,97,109,101,40,102,117,108,108,110,97,109,101,41, - 32,45,62,32,102,105,108,101,110,97,109,101,32,115,116,114, + 114,34,0,0,0,114,44,0,0,0,218,4,99,111,100,101, + 218,9,105,115,112,97,99,107,97,103,101,114,46,0,0,0, + 32,32,32,32,32,114,57,0,0,0,114,9,0,0,0,114, + 9,0,0,0,114,10,0,0,0,218,8,103,101,116,95,99, + 111,100,101,190,0,0,0,115,4,0,0,0,16,6,4,1, + 114,11,0,0,0,122,20,122,105,112,105,109,112,111,114,116, + 101,114,46,103,101,116,95,99,111,100,101,99,2,0,0,0, + 0,0,0,0,0,0,0,0,8,0,0,0,67,0,0,0, + 115,114,0,0,0,116,0,114,8,124,1,160,1,116,0,116, + 2,161,2,125,1,124,1,125,2,124,1,160,3,124,0,106, + 4,116,2,23,0,161,1,114,29,124,1,116,5,124,0,106, + 4,116,2,23,0,131,1,100,1,133,2,25,0,125,2,9, + 0,124,0,106,6,124,2,25,0,125,3,110,14,35,0,4, + 0,116,7,121,56,1,0,1,0,1,0,116,8,100,2,100, + 3,124,2,131,3,130,1,37,0,116,9,124,0,106,4,124, + 3,131,2,83,0,119,0,41,4,122,154,103,101,116,95,100, + 97,116,97,40,112,97,116,104,110,97,109,101,41,32,45,62, + 32,115,116,114,105,110,103,32,119,105,116,104,32,102,105,108, + 101,32,100,97,116,97,46,10,10,32,32,32,32,32,32,32, + 32,82,101,116,117,114,110,32,116,104,101,32,100,97,116,97, + 32,97,115,115,111,99,105,97,116,101,100,32,119,105,116,104, + 32,39,112,97,116,104,110,97,109,101,39,46,32,82,97,105, + 115,101,32,79,83,69,114,114,111,114,32,105,102,10,32,32, + 32,32,32,32,32,32,116,104,101,32,102,105,108,101,32,119, + 97,115,110,39,116,32,102,111,117,110,100,46,10,32,32,32, + 32,32,32,32,32,78,114,0,0,0,0,218,0,41,10,114, + 19,0,0,0,114,20,0,0,0,114,21,0,0,0,218,10, + 115,116,97,114,116,115,119,105,116,104,114,30,0,0,0,218, + 3,108,101,110,114,29,0,0,0,114,27,0,0,0,114,23, + 0,0,0,218,9,95,103,101,116,95,100,97,116,97,169,4, + 114,34,0,0,0,218,8,112,97,116,104,110,97,109,101,90, + 3,107,101,121,218,9,116,111,99,95,101,110,116,114,121,32, + 32,32,32,114,65,0,0,0,114,9,0,0,0,114,9,0, + 0,0,114,10,0,0,0,218,8,103,101,116,95,100,97,116, + 97,200,0,0,0,115,26,0,0,0,4,6,12,1,4,2, + 16,1,22,1,2,2,12,1,2,128,12,1,12,1,2,128, + 12,1,2,254,115,12,0,0,0,158,5,36,0,164,13,49, + 7,184,1,49,7,122,20,122,105,112,105,109,112,111,114,116, + 101,114,46,103,101,116,95,100,97,116,97,99,2,0,0,0, + 0,0,0,0,0,0,0,0,3,0,0,0,67,0,0,0, + 115,20,0,0,0,116,0,124,0,124,1,131,2,92,3,125, + 2,125,3,125,4,124,4,83,0,41,2,122,165,103,101,116, + 95,102,105,108,101,110,97,109,101,40,102,117,108,108,110,97, + 109,101,41,32,45,62,32,102,105,108,101,110,97,109,101,32, + 115,116,114,105,110,103,46,10,10,32,32,32,32,32,32,32, + 32,82,101,116,117,114,110,32,116,104,101,32,102,105,108,101, + 110,97,109,101,32,102,111,114,32,116,104,101,32,115,112,101, + 99,105,102,105,101,100,32,109,111,100,117,108,101,32,111,114, + 32,114,97,105,115,101,32,90,105,112,73,109,112,111,114,116, + 69,114,114,111,114,10,32,32,32,32,32,32,32,32,105,102, + 32,105,116,32,99,111,117,108,100,110,39,116,32,98,101,32, + 105,109,112,111,114,116,101,100,46,10,32,32,32,32,32,32, + 32,32,78,114,55,0,0,0,114,57,0,0,0,32,32,32, + 32,32,114,57,0,0,0,114,9,0,0,0,114,9,0,0, + 0,114,10,0,0,0,218,12,103,101,116,95,102,105,108,101, + 110,97,109,101,221,0,0,0,115,4,0,0,0,16,8,4, + 1,114,11,0,0,0,122,24,122,105,112,105,109,112,111,114, + 116,101,114,46,103,101,116,95,102,105,108,101,110,97,109,101, + 99,2,0,0,0,0,0,0,0,0,0,0,0,8,0,0, + 0,67,0,0,0,115,128,0,0,0,116,0,124,0,124,1, + 131,2,125,2,124,2,100,1,117,0,114,18,116,1,100,2, + 124,1,155,2,157,2,124,1,100,3,141,2,130,1,116,2, + 124,0,124,1,131,2,125,3,124,2,114,32,116,3,160,4, + 124,3,100,4,161,2,125,4,110,5,124,3,155,0,100,5, + 157,2,125,4,9,0,124,0,106,5,124,4,25,0,125,5, + 110,11,35,0,4,0,116,6,121,63,1,0,1,0,1,0, + 89,0,100,1,83,0,37,0,116,7,124,0,106,8,124,5, + 131,2,160,9,161,0,83,0,119,0,41,6,122,253,103,101, + 116,95,115,111,117,114,99,101,40,102,117,108,108,110,97,109, + 101,41,32,45,62,32,115,111,117,114,99,101,32,115,116,114, 105,110,103,46,10,10,32,32,32,32,32,32,32,32,82,101, - 116,117,114,110,32,116,104,101,32,102,105,108,101,110,97,109, - 101,32,102,111,114,32,116,104,101,32,115,112,101,99,105,102, - 105,101,100,32,109,111,100,117,108,101,32,111,114,32,114,97, + 116,117,114,110,32,116,104,101,32,115,111,117,114,99,101,32, + 99,111,100,101,32,102,111,114,32,116,104,101,32,115,112,101, + 99,105,102,105,101,100,32,109,111,100,117,108,101,46,32,82, + 97,105,115,101,32,90,105,112,73,109,112,111,114,116,69,114, + 114,111,114,10,32,32,32,32,32,32,32,32,105,102,32,116, + 104,101,32,109,111,100,117,108,101,32,99,111,117,108,100,110, + 39,116,32,98,101,32,102,111,117,110,100,44,32,114,101,116, + 117,114,110,32,78,111,110,101,32,105,102,32,116,104,101,32, + 97,114,99,104,105,118,101,32,100,111,101,115,10,32,32,32, + 32,32,32,32,32,99,111,110,116,97,105,110,32,116,104,101, + 32,109,111,100,117,108,101,44,32,98,117,116,32,104,97,115, + 32,110,111,32,115,111,117,114,99,101,32,102,111,114,32,105, + 116,46,10,32,32,32,32,32,32,32,32,78,250,18,99,97, + 110,39,116,32,102,105,110,100,32,109,111,100,117,108,101,32, + 169,1,114,51,0,0,0,250,11,95,95,105,110,105,116,95, + 95,46,112,121,250,3,46,112,121,41,10,114,40,0,0,0, + 114,3,0,0,0,114,41,0,0,0,114,22,0,0,0,114, + 31,0,0,0,114,29,0,0,0,114,27,0,0,0,114,64, + 0,0,0,114,30,0,0,0,218,6,100,101,99,111,100,101, + 169,6,114,34,0,0,0,114,44,0,0,0,114,45,0,0, + 0,114,14,0,0,0,218,8,102,117,108,108,112,97,116,104, + 114,67,0,0,0,32,32,32,32,32,32,114,75,0,0,0, + 114,9,0,0,0,114,9,0,0,0,114,10,0,0,0,218, + 10,103,101,116,95,115,111,117,114,99,101,233,0,0,0,115, + 30,0,0,0,10,7,8,1,18,1,10,2,4,1,14,1, + 10,2,2,2,12,1,2,128,12,1,6,2,2,128,16,1, + 2,253,115,12,0,0,0,166,5,44,0,172,7,54,7,191, + 1,54,7,122,22,122,105,112,105,109,112,111,114,116,101,114, + 46,103,101,116,95,115,111,117,114,99,101,99,2,0,0,0, + 0,0,0,0,0,0,0,0,4,0,0,0,67,0,0,0, + 115,40,0,0,0,116,0,124,0,124,1,131,2,125,2,124, + 2,100,1,117,0,114,18,116,1,100,2,124,1,155,2,157, + 2,124,1,100,3,141,2,130,1,124,2,83,0,41,4,122, + 171,105,115,95,112,97,99,107,97,103,101,40,102,117,108,108, + 110,97,109,101,41,32,45,62,32,98,111,111,108,46,10,10, + 32,32,32,32,32,32,32,32,82,101,116,117,114,110,32,84, + 114,117,101,32,105,102,32,116,104,101,32,109,111,100,117,108, + 101,32,115,112,101,99,105,102,105,101,100,32,98,121,32,102, + 117,108,108,110,97,109,101,32,105,115,32,97,32,112,97,99, + 107,97,103,101,46,10,32,32,32,32,32,32,32,32,82,97, 105,115,101,32,90,105,112,73,109,112,111,114,116,69,114,114, - 111,114,10,32,32,32,32,32,32,32,32,105,102,32,105,116, - 32,99,111,117,108,100,110,39,116,32,98,101,32,105,109,112, - 111,114,116,101,100,46,10,32,32,32,32,32,32,32,32,78, - 114,51,0,0,0,114,53,0,0,0,114,9,0,0,0,114, - 9,0,0,0,114,10,0,0,0,218,12,103,101,116,95,102, - 105,108,101,110,97,109,101,221,0,0,0,115,4,0,0,0, - 16,8,4,1,114,11,0,0,0,122,24,122,105,112,105,109, - 112,111,114,116,101,114,46,103,101,116,95,102,105,108,101,110, - 97,109,101,99,2,0,0,0,0,0,0,0,0,0,0,0, - 8,0,0,0,67,0,0,0,115,128,0,0,0,116,0,124, - 0,124,1,131,2,125,2,124,2,100,1,117,0,114,18,116, - 1,100,2,124,1,155,2,157,2,124,1,100,3,141,2,130, - 1,116,2,124,0,124,1,131,2,125,3,124,2,114,32,116, - 3,160,4,124,3,100,4,161,2,125,4,110,5,124,3,155, - 0,100,5,157,2,125,4,9,0,124,0,106,5,124,4,25, - 0,125,5,110,11,35,0,4,0,116,6,121,63,1,0,1, - 0,1,0,89,0,100,1,83,0,37,0,116,7,124,0,106, - 8,124,5,131,2,160,9,161,0,83,0,119,0,41,6,122, - 253,103,101,116,95,115,111,117,114,99,101,40,102,117,108,108, - 110,97,109,101,41,32,45,62,32,115,111,117,114,99,101,32, - 115,116,114,105,110,103,46,10,10,32,32,32,32,32,32,32, - 32,82,101,116,117,114,110,32,116,104,101,32,115,111,117,114, - 99,101,32,99,111,100,101,32,102,111,114,32,116,104,101,32, - 115,112,101,99,105,102,105,101,100,32,109,111,100,117,108,101, - 46,32,82,97,105,115,101,32,90,105,112,73,109,112,111,114, - 116,69,114,114,111,114,10,32,32,32,32,32,32,32,32,105, - 102,32,116,104,101,32,109,111,100,117,108,101,32,99,111,117, - 108,100,110,39,116,32,98,101,32,102,111,117,110,100,44,32, - 114,101,116,117,114,110,32,78,111,110,101,32,105,102,32,116, - 104,101,32,97,114,99,104,105,118,101,32,100,111,101,115,10, - 32,32,32,32,32,32,32,32,99,111,110,116,97,105,110,32, - 116,104,101,32,109,111,100,117,108,101,44,32,98,117,116,32, - 104,97,115,32,110,111,32,115,111,117,114,99,101,32,102,111, - 114,32,105,116,46,10,32,32,32,32,32,32,32,32,78,250, - 18,99,97,110,39,116,32,102,105,110,100,32,109,111,100,117, - 108,101,32,169,1,114,48,0,0,0,250,11,95,95,105,110, - 105,116,95,95,46,112,121,250,3,46,112,121,41,10,114,39, - 0,0,0,114,3,0,0,0,114,40,0,0,0,114,22,0, - 0,0,114,31,0,0,0,114,29,0,0,0,114,27,0,0, - 0,114,60,0,0,0,114,30,0,0,0,218,6,100,101,99, - 111,100,101,41,6,114,33,0,0,0,114,42,0,0,0,114, - 43,0,0,0,114,14,0,0,0,218,8,102,117,108,108,112, - 97,116,104,114,62,0,0,0,114,9,0,0,0,114,9,0, - 0,0,114,10,0,0,0,218,10,103,101,116,95,115,111,117, - 114,99,101,233,0,0,0,115,30,0,0,0,10,7,8,1, - 18,1,10,2,4,1,14,1,10,2,2,2,12,1,2,128, - 12,1,6,2,2,128,16,1,2,253,115,12,0,0,0,166, - 5,44,0,172,7,54,7,191,1,54,7,122,22,122,105,112, - 105,109,112,111,114,116,101,114,46,103,101,116,95,115,111,117, - 114,99,101,99,2,0,0,0,0,0,0,0,0,0,0,0, - 4,0,0,0,67,0,0,0,115,40,0,0,0,116,0,124, - 0,124,1,131,2,125,2,124,2,100,1,117,0,114,18,116, - 1,100,2,124,1,155,2,157,2,124,1,100,3,141,2,130, - 1,124,2,83,0,41,4,122,171,105,115,95,112,97,99,107, - 97,103,101,40,102,117,108,108,110,97,109,101,41,32,45,62, - 32,98,111,111,108,46,10,10,32,32,32,32,32,32,32,32, - 82,101,116,117,114,110,32,84,114,117,101,32,105,102,32,116, - 104,101,32,109,111,100,117,108,101,32,115,112,101,99,105,102, - 105,101,100,32,98,121,32,102,117,108,108,110,97,109,101,32, - 105,115,32,97,32,112,97,99,107,97,103,101,46,10,32,32, - 32,32,32,32,32,32,82,97,105,115,101,32,90,105,112,73, - 109,112,111,114,116,69,114,114,111,114,32,105,102,32,116,104, - 101,32,109,111,100,117,108,101,32,99,111,117,108,100,110,39, - 116,32,98,101,32,102,111,117,110,100,46,10,32,32,32,32, - 32,32,32,32,78,114,65,0,0,0,114,66,0,0,0,41, - 2,114,39,0,0,0,114,3,0,0,0,41,3,114,33,0, - 0,0,114,42,0,0,0,114,43,0,0,0,114,9,0,0, - 0,114,9,0,0,0,114,10,0,0,0,114,47,0,0,0, + 111,114,32,105,102,32,116,104,101,32,109,111,100,117,108,101, + 32,99,111,117,108,100,110,39,116,32,98,101,32,102,111,117, + 110,100,46,10,32,32,32,32,32,32,32,32,78,114,70,0, + 0,0,114,71,0,0,0,41,2,114,40,0,0,0,114,3, + 0,0,0,169,3,114,34,0,0,0,114,44,0,0,0,114, + 45,0,0,0,32,32,32,114,78,0,0,0,114,9,0,0, + 0,114,9,0,0,0,114,10,0,0,0,114,50,0,0,0, 3,1,0,0,115,8,0,0,0,10,6,8,1,18,1,4, 1,114,11,0,0,0,122,22,122,105,112,105,109,112,111,114, 116,101,114,46,105,115,95,112,97,99,107,97,103,101,99,2, @@ -497,612 +503,625 @@ const unsigned char _Py_M__zipimport[] = { 110,32,115,121,115,46,109,111,100,117,108,101,115,122,30,105, 109,112,111,114,116,32,123,125,32,35,32,108,111,97,100,101, 100,32,102,114,111,109,32,90,105,112,32,123,125,41,24,114, - 36,0,0,0,114,37,0,0,0,114,38,0,0,0,114,52, + 37,0,0,0,114,38,0,0,0,114,39,0,0,0,114,56, 0,0,0,218,3,115,121,115,218,7,109,111,100,117,108,101, 115,218,3,103,101,116,114,16,0,0,0,218,12,95,109,111, 100,117,108,101,95,116,121,112,101,218,10,95,95,108,111,97, - 100,101,114,95,95,114,40,0,0,0,114,22,0,0,0,114, + 100,101,114,95,95,114,41,0,0,0,114,22,0,0,0,114, 31,0,0,0,114,30,0,0,0,90,8,95,95,112,97,116, - 104,95,95,218,7,104,97,115,97,116,116,114,114,72,0,0, + 104,95,95,218,7,104,97,115,97,116,116,114,114,79,0,0, 0,90,14,95,102,105,120,95,117,112,95,109,111,100,117,108, 101,218,8,95,95,100,105,99,116,95,95,218,4,101,120,101, 99,114,27,0,0,0,218,11,73,109,112,111,114,116,69,114, - 114,111,114,114,49,0,0,0,218,16,95,118,101,114,98,111, - 115,101,95,109,101,115,115,97,103,101,41,9,114,33,0,0, - 0,114,42,0,0,0,218,3,109,115,103,114,54,0,0,0, - 114,55,0,0,0,114,44,0,0,0,90,3,109,111,100,114, - 14,0,0,0,114,70,0,0,0,114,9,0,0,0,114,9, - 0,0,0,114,10,0,0,0,218,11,108,111,97,100,95,109, - 111,100,117,108,101,16,1,0,0,115,62,0,0,0,4,9, - 12,2,16,1,12,1,18,1,8,1,10,1,6,1,2,2, - 4,1,10,3,14,1,8,1,10,2,6,1,16,1,14,1, - 2,128,6,1,8,1,2,1,2,128,2,2,12,1,2,128, - 12,1,16,1,2,128,14,1,4,1,2,253,115,29,0,0, - 0,172,40,65,21,0,193,21,9,65,30,7,193,32,5,65, - 38,0,193,38,15,65,53,7,193,63,1,65,53,7,122,23, - 122,105,112,105,109,112,111,114,116,101,114,46,108,111,97,100, - 95,109,111,100,117,108,101,99,2,0,0,0,0,0,0,0, - 0,0,0,0,8,0,0,0,67,0,0,0,115,64,0,0, - 0,9,0,124,0,160,0,124,1,161,1,115,8,100,1,83, - 0,110,11,35,0,4,0,116,1,121,31,1,0,1,0,1, - 0,89,0,100,1,83,0,37,0,100,2,100,3,108,2,109, - 3,125,2,1,0,124,2,124,0,124,1,131,2,83,0,119, - 0,41,4,122,204,82,101,116,117,114,110,32,116,104,101,32, - 82,101,115,111,117,114,99,101,82,101,97,100,101,114,32,102, - 111,114,32,97,32,112,97,99,107,97,103,101,32,105,110,32, - 97,32,122,105,112,32,102,105,108,101,46,10,10,32,32,32, - 32,32,32,32,32,73,102,32,39,102,117,108,108,110,97,109, - 101,39,32,105,115,32,97,32,112,97,99,107,97,103,101,32, - 119,105,116,104,105,110,32,116,104,101,32,122,105,112,32,102, - 105,108,101,44,32,114,101,116,117,114,110,32,116,104,101,10, - 32,32,32,32,32,32,32,32,39,82,101,115,111,117,114,99, - 101,82,101,97,100,101,114,39,32,111,98,106,101,99,116,32, - 102,111,114,32,116,104,101,32,112,97,99,107,97,103,101,46, - 32,32,79,116,104,101,114,119,105,115,101,32,114,101,116,117, - 114,110,32,78,111,110,101,46,10,32,32,32,32,32,32,32, - 32,78,114,0,0,0,0,41,1,218,9,90,105,112,82,101, - 97,100,101,114,41,4,114,47,0,0,0,114,3,0,0,0, - 90,17,105,109,112,111,114,116,108,105,98,46,114,101,97,100, - 101,114,115,114,85,0,0,0,41,3,114,33,0,0,0,114, - 42,0,0,0,114,85,0,0,0,114,9,0,0,0,114,9, - 0,0,0,114,10,0,0,0,218,19,103,101,116,95,114,101, - 115,111,117,114,99,101,95,114,101,97,100,101,114,59,1,0, - 0,115,22,0,0,0,2,6,10,1,4,1,2,255,2,128, - 12,2,6,1,2,128,12,1,10,1,2,253,115,12,0,0, - 0,129,5,9,0,137,7,19,7,159,1,19,7,122,31,122, - 105,112,105,109,112,111,114,116,101,114,46,103,101,116,95,114, - 101,115,111,117,114,99,101,95,114,101,97,100,101,114,99,1, - 0,0,0,0,0,0,0,0,0,0,0,8,0,0,0,67, - 0,0,0,115,74,0,0,0,9,0,116,0,124,0,106,1, 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1,10,1,2,1,6,255,2,128,10,2,8,1,10,1,2, - 1,6,255,16,2,12,1,10,1,2,1,6,255,16,2,16, - 2,16,1,8,1,18,1,8,1,18,1,8,1,8,1,10, - 1,18,1,4,2,4,2,2,1,12,1,2,128,14,1,18, - 1,2,128,2,1,10,1,14,1,8,1,18,2,4,1,14, - 1,8,1,16,1,16,1,16,1,16,1,16,1,16,1,16, - 1,16,1,16,1,16,1,16,1,12,1,10,1,18,1,8, - 1,2,2,12,1,2,128,14,1,18,1,2,128,14,1,18, - 1,2,4,28,1,18,1,2,255,2,128,14,2,18,1,2, - 128,10,2,10,2,2,3,12,1,2,128,14,1,20,1,2, - 128,12,2,12,1,20,1,8,1,8,1,4,202,2,6,12, - 196,24,128,14,109,4,1,2,247,2,246,2,246,2,227,2, - 227,2,248,2,246,2,248,115,235,0,0,0,129,5,7,0, - 135,17,24,7,155,1,73,31,3,157,16,46,2,173,1,73, - 31,3,174,17,63,9,191,24,73,31,3,193,24,10,65,35, - 2,193,34,1,73,31,3,193,35,17,65,52,9,193,52,10, - 73,31,3,193,63,9,66,9,2,194,8,1,73,31,3,194, - 9,17,66,26,9,194,26,65,54,73,31,3,196,17,5,68, - 23,2,196,22,1,73,31,3,196,23,17,68,40,9,196,40, - 66,24,73,31,3,199,1,5,71,7,2,199,6,1,73,31, - 3,199,7,17,71,24,9,199,24,17,73,31,3,199,42,23, - 72,2,2,200,1,1,73,31,3,200,2,17,72,19,9,200, - 19,11,73,31,3,200,31,5,72,37,2,200,36,1,73,31, - 3,200,37,16,72,55,9,200,53,35,73,31,3,201,31,5, - 73,36,11,201,37,3,73,36,11,201,52,1,72,55,9,201, - 53,1,72,19,9,201,54,1,71,24,9,201,55,1,68,40, - 9,201,56,1,66,26,9,201,57,1,65,52,9,201,58,1, - 63,9,201,59,1,24,7,114,28,0,0,0,117,190,1,0, - 0,0,1,2,3,4,5,6,7,8,9,10,11,12,13,14, - 15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30, - 31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46, - 47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62, - 63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78, - 79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94, - 95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110, - 111,112,113,114,115,116,117,118,119,120,121,122,123,124,125,126, - 127,195,135,195,188,195,169,195,162,195,164,195,160,195,165,195, - 167,195,170,195,171,195,168,195,175,195,174,195,172,195,132,195, - 133,195,137,195,166,195,134,195,180,195,182,195,178,195,187,195, - 185,195,191,195,150,195,156,194,162,194,163,194,165,226,130,167, - 198,146,195,161,195,173,195,179,195,186,195,177,195,145,194,170, - 194,186,194,191,226,140,144,194,172,194,189,194,188,194,161,194, - 171,194,187,226,150,145,226,150,146,226,150,147,226,148,130,226, - 148,164,226,149,161,226,149,162,226,149,150,226,149,149,226,149, - 163,226,149,145,226,149,151,226,149,157,226,149,156,226,149,155, - 226,148,144,226,148,148,226,148,180,226,148,172,226,148,156,226, - 148,128,226,148,188,226,149,158,226,149,159,226,149,154,226,149, - 148,226,149,169,226,149,166,226,149,160,226,149,144,226,149,172, - 226,149,167,226,149,168,226,149,164,226,149,165,226,149,153,226, - 149,152,226,149,146,226,149,147,226,149,171,226,149,170,226,148, - 152,226,148,140,226,150,136,226,150,132,226,150,140,226,150,144, - 226,150,128,206,177,195,159,206,147,207,128,206,163,207,131,194, - 181,207,132,206,166,206,152,206,169,206,180,226,136,158,207,134, - 206,181,226,136,169,226,137,161,194,177,226,137,165,226,137,164, - 226,140,160,226,140,161,195,183,226,137,136,194,176,226,136,153, - 194,183,226,136,154,226,129,191,194,178,226,150,160,194,160,99, - 0,0,0,0,0,0,0,0,0,0,0,0,8,0,0,0, - 67,0,0,0,115,110,0,0,0,116,0,114,11,116,1,160, - 2,100,1,161,1,1,0,116,3,100,2,131,1,130,1,100, - 3,97,0,9,0,100,4,100,5,108,4,109,5,125,0,1, - 0,110,17,35,0,4,0,116,6,121,54,1,0,1,0,1, - 0,116,1,160,2,100,1,161,1,1,0,116,3,100,2,131, - 1,130,1,37,0,9,0,100,6,97,0,110,5,35,0,100, - 6,97,0,119,0,37,0,116,1,160,2,100,7,161,1,1, - 0,124,0,83,0,119,0,41,8,78,122,27,122,105,112,105, - 109,112,111,114,116,58,32,122,108,105,98,32,85,78,65,86, - 65,73,76,65,66,76,69,250,41,99,97,110,39,116,32,100, - 101,99,111,109,112,114,101,115,115,32,100,97,116,97,59,32, - 122,108,105,98,32,110,111,116,32,97,118,97,105,108,97,98, - 108,101,84,114,0,0,0,0,169,1,218,10,100,101,99,111, - 109,112,114,101,115,115,70,122,25,122,105,112,105,109,112,111, - 114,116,58,32,122,108,105,98,32,97,118,97,105,108,97,98, - 108,101,41,7,218,15,95,105,109,112,111,114,116,105,110,103, - 95,122,108,105,98,114,49,0,0,0,114,82,0,0,0,114, - 3,0,0,0,90,4,122,108,105,98,114,148,0,0,0,218, - 9,69,120,99,101,112,116,105,111,110,114,147,0,0,0,114, - 9,0,0,0,114,9,0,0,0,114,10,0,0,0,218,20, - 95,103,101,116,95,100,101,99,111,109,112,114,101,115,115,95, - 102,117,110,99,48,2,0,0,115,36,0,0,0,4,2,10, - 3,8,1,4,2,2,1,14,1,2,128,12,1,10,1,8, - 1,2,128,2,253,6,5,2,128,8,0,10,2,4,1,2, - 249,115,24,0,0,0,142,6,21,0,148,1,42,0,149,16, - 37,7,165,1,42,0,170,4,46,7,182,1,37,7,114,151, - 0,0,0,99,2,0,0,0,0,0,0,0,0,0,0,0, - 9,0,0,0,67,0,0,0,115,132,1,0,0,124,1,92, - 8,125,2,125,3,125,4,125,5,125,6,125,7,125,8,125, - 9,124,4,100,1,107,0,114,18,116,0,100,2,131,1,130, - 1,116,1,160,2,124,0,161,1,53,0,125,10,9,0,124, - 10,160,3,124,6,161,1,1,0,110,17,35,0,4,0,116, - 4,121,193,1,0,1,0,1,0,116,0,100,3,124,0,155, - 2,157,2,124,0,100,4,141,2,130,1,37,0,124,10,160, - 5,100,5,161,1,125,11,116,6,124,11,131,1,100,5,107, - 3,114,63,116,7,100,6,131,1,130,1,124,11,100,0,100, - 7,133,2,25,0,100,8,107,3,114,80,116,0,100,9,124, - 0,155,2,157,2,124,0,100,4,141,2,130,1,116,8,124, - 11,100,10,100,11,133,2,25,0,131,1,125,12,116,8,124, - 11,100,11,100,5,133,2,25,0,131,1,125,13,100,5,124, - 12,23,0,124,13,23,0,125,14,124,6,124,14,55,0,125, - 6,9,0,124,10,160,3,124,6,161,1,1,0,110,17,35, - 0,4,0,116,4,121,192,1,0,1,0,1,0,116,0,100, - 3,124,0,155,2,157,2,124,0,100,4,141,2,130,1,37, - 0,124,10,160,5,124,4,161,1,125,15,116,6,124,15,131, - 1,124,4,107,3,114,145,116,4,100,12,131,1,130,1,9, - 0,100,0,4,0,4,0,131,3,1,0,110,11,35,0,49, - 0,115,157,119,4,37,0,1,0,1,0,1,0,89,0,1, - 0,1,0,124,3,100,1,107,2,114,169,124,15,83,0,9, - 0,116,9,131,0,125,16,110,12,35,0,4,0,116,10,121, - 191,1,0,1,0,1,0,116,0,100,13,131,1,130,1,37, - 0,124,16,124,15,100,14,131,2,83,0,119,0,119,0,119, - 0,41,15,78,114,0,0,0,0,122,18,110,101,103,97,116, - 105,118,101,32,100,97,116,97,32,115,105,122,101,114,99,0, - 0,0,114,13,0,0,0,114,111,0,0,0,114,105,0,0, - 0,114,100,0,0,0,115,4,0,0,0,80,75,3,4,122, - 23,98,97,100,32,108,111,99,97,108,32,102,105,108,101,32, - 104,101,97,100,101,114,58,32,233,26,0,0,0,114,110,0, - 0,0,122,26,122,105,112,105,109,112,111,114,116,58,32,99, - 97,110,39,116,32,114,101,97,100,32,100,97,116,97,114,146, - 0,0,0,105,241,255,255,255,41,11,114,3,0,0,0,114, - 117,0,0,0,114,118,0,0,0,114,119,0,0,0,114,23, - 0,0,0,114,121,0,0,0,114,59,0,0,0,114,126,0, - 0,0,114,1,0,0,0,114,151,0,0,0,114,150,0,0, - 0,41,17,114,30,0,0,0,114,62,0,0,0,90,8,100, - 97,116,97,112,97,116,104,114,137,0,0,0,114,141,0,0, - 0,114,132,0,0,0,114,144,0,0,0,114,138,0,0,0, - 114,139,0,0,0,114,140,0,0,0,114,130,0,0,0,114, - 131,0,0,0,114,142,0,0,0,114,143,0,0,0,114,134, - 0,0,0,90,8,114,97,119,95,100,97,116,97,114,148,0, - 0,0,114,9,0,0,0,114,9,0,0,0,114,10,0,0, - 0,114,60,0,0,0,69,2,0,0,115,86,0,0,0,20, - 1,8,1,8,1,12,2,2,2,12,1,2,128,12,1,18, - 1,2,128,10,1,12,1,8,1,16,2,18,2,16,2,16, - 1,12,1,8,1,2,1,12,1,2,128,12,1,18,1,2, - 128,10,1,12,1,8,1,2,255,12,233,22,128,8,26,4, - 2,2,3,8,1,2,128,12,1,8,1,2,128,10,1,2, - 254,2,243,2,240,115,88,0,0,0,151,1,66,24,3,153, - 5,31,2,158,1,66,24,3,159,16,47,9,175,59,66,24, - 3,193,43,5,65,49,2,193,48,1,66,24,3,193,49,16, - 66,1,9,194,1,16,66,24,3,194,24,4,66,28,11,194, - 29,3,66,28,11,194,42,3,66,46,0,194,46,11,66,57, - 7,194,63,1,66,57,7,195,0,1,66,1,9,195,1,1, - 47,9,114,60,0,0,0,99,2,0,0,0,0,0,0,0, - 0,0,0,0,3,0,0,0,67,0,0,0,115,16,0,0, - 0,116,0,124,0,124,1,24,0,131,1,100,1,107,1,83, - 0,41,2,78,114,5,0,0,0,41,1,218,3,97,98,115, - 41,2,90,2,116,49,90,2,116,50,114,9,0,0,0,114, - 9,0,0,0,114,10,0,0,0,218,9,95,101,113,95,109, - 116,105,109,101,115,2,0,0,115,2,0,0,0,16,2,114, - 11,0,0,0,114,154,0,0,0,99,5,0,0,0,0,0, - 0,0,0,0,0,0,6,0,0,0,67,0,0,0,115,254, - 0,0,0,124,3,124,2,100,1,156,2,125,5,116,0,160, - 1,124,4,124,3,124,5,161,3,125,6,124,6,100,2,64, - 0,100,3,107,3,125,7,124,7,114,63,124,6,100,4,64, - 0,100,3,107,3,125,8,116,2,106,3,100,5,107,3,114, - 62,124,8,115,38,116,2,106,3,100,6,107,2,114,62,116, - 4,124,0,124,2,131,2,125,9,124,9,100,0,117,1,114, - 62,116,2,160,5,116,0,106,6,124,9,161,2,125,10,116, - 0,160,7,124,4,124,10,124,3,124,5,161,4,1,0,110, - 40,116,8,124,0,124,2,131,2,92,2,125,11,125,12,124, - 11,114,103,116,9,116,10,124,4,100,7,100,8,133,2,25, - 0,131,1,124,11,131,2,114,93,116,10,124,4,100,8,100, - 9,133,2,25,0,131,1,124,12,107,3,114,103,116,11,160, - 12,100,10,124,3,155,2,157,2,161,1,1,0,100,0,83, - 0,116,13,160,14,124,4,100,9,100,0,133,2,25,0,161, - 1,125,13,116,15,124,13,116,16,131,2,115,125,116,17,100, - 11,124,1,155,2,100,12,157,3,131,1,130,1,124,13,83, - 0,41,13,78,41,2,114,48,0,0,0,114,14,0,0,0, - 114,5,0,0,0,114,0,0,0,0,114,94,0,0,0,90, - 5,110,101,118,101,114,90,6,97,108,119,97,121,115,114,106, - 0,0,0,114,101,0,0,0,114,102,0,0,0,122,22,98, - 121,116,101,99,111,100,101,32,105,115,32,115,116,97,108,101, - 32,102,111,114,32,122,16,99,111,109,112,105,108,101,100,32, - 109,111,100,117,108,101,32,122,21,32,105,115,32,110,111,116, - 32,97,32,99,111,100,101,32,111,98,106,101,99,116,41,18, - 114,22,0,0,0,90,13,95,99,108,97,115,115,105,102,121, - 95,112,121,99,218,4,95,105,109,112,90,21,99,104,101,99, - 107,95,104,97,115,104,95,98,97,115,101,100,95,112,121,99, - 115,218,15,95,103,101,116,95,112,121,99,95,115,111,117,114, - 99,101,218,11,115,111,117,114,99,101,95,104,97,115,104,90, - 17,95,82,65,87,95,77,65,71,73,67,95,78,85,77,66, - 69,82,90,18,95,118,97,108,105,100,97,116,101,95,104,97, - 115,104,95,112,121,99,218,29,95,103,101,116,95,109,116,105, - 109,101,95,97,110,100,95,115,105,122,101,95,111,102,95,115, - 111,117,114,99,101,114,154,0,0,0,114,2,0,0,0,114, - 49,0,0,0,114,82,0,0,0,218,7,109,97,114,115,104, - 97,108,90,5,108,111,97,100,115,114,16,0,0,0,218,10, - 95,99,111,100,101,95,116,121,112,101,218,9,84,121,112,101, - 69,114,114,111,114,41,14,114,33,0,0,0,114,61,0,0, - 0,114,70,0,0,0,114,42,0,0,0,114,133,0,0,0, - 90,11,101,120,99,95,100,101,116,97,105,108,115,114,136,0, - 0,0,90,10,104,97,115,104,95,98,97,115,101,100,90,12, - 99,104,101,99,107,95,115,111,117,114,99,101,90,12,115,111, - 117,114,99,101,95,98,121,116,101,115,114,157,0,0,0,90, - 12,115,111,117,114,99,101,95,109,116,105,109,101,90,11,115, - 111,117,114,99,101,95,115,105,122,101,114,54,0,0,0,114, - 9,0,0,0,114,9,0,0,0,114,10,0,0,0,218,15, - 95,117,110,109,97,114,115,104,97,108,95,99,111,100,101,123, - 2,0,0,115,72,0,0,0,2,2,2,1,6,254,14,5, - 12,2,4,1,12,1,10,1,2,1,2,255,8,1,2,255, - 10,2,8,1,4,1,4,1,2,1,4,254,4,5,8,1, - 4,255,2,128,8,4,6,255,4,3,22,3,18,1,2,255, - 4,2,8,1,4,255,4,2,18,2,10,1,16,1,4,1, - 114,11,0,0,0,114,162,0,0,0,99,1,0,0,0,0, - 0,0,0,0,0,0,0,4,0,0,0,67,0,0,0,115, - 28,0,0,0,124,0,160,0,100,1,100,2,161,2,125,0, - 124,0,160,0,100,3,100,2,161,2,125,0,124,0,83,0, - 41,4,78,115,2,0,0,0,13,10,243,1,0,0,0,10, - 243,1,0,0,0,13,41,1,114,20,0,0,0,41,1,218, - 6,115,111,117,114,99,101,114,9,0,0,0,114,9,0,0, - 0,114,10,0,0,0,218,23,95,110,111,114,109,97,108,105, - 122,101,95,108,105,110,101,95,101,110,100,105,110,103,115,168, - 2,0,0,115,6,0,0,0,12,1,12,1,4,1,114,11, - 0,0,0,114,166,0,0,0,99,2,0,0,0,0,0,0, - 0,0,0,0,0,6,0,0,0,67,0,0,0,115,24,0, - 0,0,116,0,124,1,131,1,125,1,116,1,124,1,124,0, - 100,1,100,2,100,3,141,4,83,0,41,4,78,114,80,0, - 0,0,84,41,1,90,12,100,111,110,116,95,105,110,104,101, - 114,105,116,41,2,114,166,0,0,0,218,7,99,111,109,112, - 105,108,101,41,2,114,61,0,0,0,114,165,0,0,0,114, - 9,0,0,0,114,9,0,0,0,114,10,0,0,0,218,15, - 95,99,111,109,112,105,108,101,95,115,111,117,114,99,101,175, - 2,0,0,115,4,0,0,0,8,1,16,1,114,11,0,0, - 0,114,168,0,0,0,99,2,0,0,0,0,0,0,0,0, - 0,0,0,11,0,0,0,67,0,0,0,115,68,0,0,0, - 116,0,160,1,124,0,100,1,63,0,100,2,23,0,124,0, - 100,3,63,0,100,4,64,0,124,0,100,5,64,0,124,1, - 100,6,63,0,124,1,100,3,63,0,100,7,64,0,124,1, - 100,5,64,0,100,8,20,0,100,9,100,9,100,9,102,9, - 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2,2,1,6,254,14,5,12,2,4,1,12,1,10,1,2, + 1,2,255,8,1,2,255,10,2,8,1,4,1,4,1,2, + 1,4,254,4,5,8,1,4,255,2,128,8,4,6,255,4, + 3,22,3,18,1,2,255,4,2,8,1,4,255,4,2,18, + 2,10,1,16,1,4,1,114,11,0,0,0,114,178,0,0, + 0,99,1,0,0,0,0,0,0,0,0,0,0,0,4,0, + 0,0,67,0,0,0,115,28,0,0,0,124,0,160,0,100, + 1,100,2,161,2,125,0,124,0,160,0,100,3,100,2,161, + 2,125,0,124,0,83,0,41,4,78,115,2,0,0,0,13, + 10,243,1,0,0,0,10,243,1,0,0,0,13,41,1,114, + 20,0,0,0,169,1,218,6,115,111,117,114,99,101,32,114, + 181,0,0,0,114,9,0,0,0,114,9,0,0,0,114,10, + 0,0,0,218,23,95,110,111,114,109,97,108,105,122,101,95, + 108,105,110,101,95,101,110,100,105,110,103,115,168,2,0,0, + 115,6,0,0,0,12,1,12,1,4,1,114,11,0,0,0, + 114,183,0,0,0,99,2,0,0,0,0,0,0,0,0,0, + 0,0,6,0,0,0,67,0,0,0,115,24,0,0,0,116, + 0,124,1,131,1,125,1,116,1,124,1,124,0,100,1,100, + 2,100,3,141,4,83,0,41,4,78,114,87,0,0,0,84, + 41,1,90,12,100,111,110,116,95,105,110,104,101,114,105,116, + 41,2,114,183,0,0,0,218,7,99,111,109,112,105,108,101, + 169,2,114,66,0,0,0,114,182,0,0,0,32,32,114,185, + 0,0,0,114,9,0,0,0,114,9,0,0,0,114,10,0, + 0,0,218,15,95,99,111,109,112,105,108,101,95,115,111,117, + 114,99,101,175,2,0,0,115,4,0,0,0,8,1,16,1, + 114,11,0,0,0,114,186,0,0,0,99,2,0,0,0,0, + 0,0,0,0,0,0,0,11,0,0,0,67,0,0,0,115, + 68,0,0,0,116,0,160,1,124,0,100,1,63,0,100,2, + 23,0,124,0,100,3,63,0,100,4,64,0,124,0,100,5, + 64,0,124,1,100,6,63,0,124,1,100,3,63,0,100,7, + 64,0,124,1,100,5,64,0,100,8,20,0,100,9,100,9, + 100,9,102,9,161,1,83,0,41,10,78,233,9,0,0,0, + 105,188,7,0,0,233,5,0,0,0,233,15,0,0,0,233, + 31,0,0,0,233,11,0,0,0,233,63,0,0,0,114,103, + 0,0,0,114,15,0,0,0,41,2,114,151,0,0,0,90, + 6,109,107,116,105,109,101,169,2,218,1,100,114,158,0,0, + 0,32,32,114,193,0,0,0,114,9,0,0,0,114,9,0, + 0,0,114,10,0,0,0,218,14,95,112,97,114,115,101,95, + 100,111,115,116,105,109,101,181,2,0,0,115,18,0,0,0, + 4,1,10,1,10,1,6,1,6,1,10,1,10,1,6,1, + 6,249,114,11,0,0,0,114,195,0,0,0,99,2,0,0, + 0,0,0,0,0,0,0,0,0,10,0,0,0,67,0,0, + 0,115,112,0,0,0,9,0,124,1,100,1,100,0,133,2, + 25,0,100,2,118,0,115,11,74,0,130,1,124,1,100,0, + 100,1,133,2,25,0,125,1,124,0,106,0,124,1,25,0, + 125,2,124,2,100,3,25,0,125,3,124,2,100,4,25,0, + 125,4,124,2,100,5,25,0,125,5,116,1,124,4,124,3, + 131,2,124,5,102,2,83,0,35,0,4,0,116,2,116,3, + 116,4,102,3,121,55,1,0,1,0,1,0,89,0,100,6, + 83,0,37,0,119,0,41,7,78,114,15,0,0,0,169,2, + 218,1,99,218,1,111,114,188,0,0,0,233,6,0,0,0, + 233,3,0,0,0,41,2,114,0,0,0,0,114,0,0,0, + 0,41,5,114,29,0,0,0,114,195,0,0,0,114,27,0, + 0,0,218,10,73,110,100,101,120,69,114,114,111,114,114,176, + 0,0,0,169,6,114,34,0,0,0,114,14,0,0,0,114, + 67,0,0,0,114,151,0,0,0,114,152,0,0,0,90,17, + 117,110,99,111,109,112,114,101,115,115,101,100,95,115,105,122, + 101,32,32,32,32,32,32,114,202,0,0,0,114,9,0,0, + 0,114,9,0,0,0,114,10,0,0,0,114,173,0,0,0, + 194,2,0,0,115,26,0,0,0,2,1,20,2,12,1,10, + 1,8,3,8,1,8,1,14,1,2,128,18,1,6,1,2, + 128,2,255,115,12,0,0,0,129,39,41,0,169,10,54,7, + 183,1,54,7,114,173,0,0,0,99,2,0,0,0,0,0, + 0,0,0,0,0,0,8,0,0,0,67,0,0,0,115,82, + 0,0,0,124,1,100,1,100,0,133,2,25,0,100,2,118, + 0,115,10,74,0,130,1,124,1,100,0,100,1,133,2,25, + 0,125,1,9,0,124,0,106,0,124,1,25,0,125,2,110, + 11,35,0,4,0,116,1,121,40,1,0,1,0,1,0,89, + 0,100,0,83,0,37,0,116,2,124,0,106,3,124,2,131, + 2,83,0,119,0,41,3,78,114,15,0,0,0,114,196,0, + 0,0,41,4,114,29,0,0,0,114,27,0,0,0,114,64, + 0,0,0,114,30,0,0,0,169,3,114,34,0,0,0,114, + 14,0,0,0,114,67,0,0,0,32,32,32,114,203,0,0, + 0,114,9,0,0,0,114,9,0,0,0,114,10,0,0,0, + 114,171,0,0,0,213,2,0,0,115,20,0,0,0,20,2, + 12,1,2,2,12,1,2,128,12,1,6,1,2,128,12,2, + 2,253,115,12,0,0,0,145,5,23,0,151,7,33,7,168, + 1,33,7,114,171,0,0,0,99,2,0,0,0,0,0,0, + 0,0,0,0,0,9,0,0,0,67,0,0,0,115,14,1, + 0,0,116,0,124,0,124,1,131,2,125,2,100,0,125,3, + 116,1,68,0,93,100,92,3,125,4,125,5,125,6,124,2, + 124,4,23,0,125,7,116,2,160,3,100,1,124,0,106,4, + 116,5,124,7,100,2,100,3,166,5,1,0,9,0,124,0, + 106,6,124,7,25,0,125,8,110,10,35,0,4,0,116,7, + 121,134,1,0,1,0,1,0,89,0,113,9,37,0,124,8, + 100,4,25,0,125,9,116,8,124,0,106,4,124,8,131,2, + 125,10,100,0,125,11,124,5,114,89,9,0,116,9,124,0, + 124,9,124,7,124,1,124,10,131,5,125,11,110,24,35,0, + 4,0,116,10,121,133,1,0,125,12,1,0,124,12,125,3, + 89,0,100,0,125,12,126,12,110,10,100,0,125,12,126,12, + 119,1,37,0,116,11,124,9,124,10,131,2,125,11,124,11, + 100,0,117,0,114,99,113,9,124,8,100,4,25,0,125,9, + 124,11,124,6,124,9,102,3,2,0,1,0,83,0,124,3, + 114,124,100,5,124,3,155,0,157,2,125,13,116,12,124,13, + 124,1,100,6,141,2,124,3,130,2,116,12,100,7,124,1, + 155,2,157,2,124,1,100,6,141,2,130,1,119,0,119,0, + 41,8,78,122,13,116,114,121,105,110,103,32,123,125,123,125, + 123,125,114,103,0,0,0,41,1,90,9,118,101,114,98,111, + 115,105,116,121,114,0,0,0,0,122,20,109,111,100,117,108, + 101,32,108,111,97,100,32,102,97,105,108,101,100,58,32,114, + 71,0,0,0,114,70,0,0,0,41,13,114,41,0,0,0, + 114,107,0,0,0,114,52,0,0,0,114,89,0,0,0,114, + 30,0,0,0,114,21,0,0,0,114,29,0,0,0,114,27, + 0,0,0,114,64,0,0,0,114,178,0,0,0,114,88,0, + 0,0,114,186,0,0,0,114,3,0,0,0,169,14,114,34, + 0,0,0,114,44,0,0,0,114,14,0,0,0,90,12,105, + 109,112,111,114,116,95,101,114,114,111,114,114,109,0,0,0, + 114,110,0,0,0,114,59,0,0,0,114,76,0,0,0,114, + 67,0,0,0,114,46,0,0,0,114,146,0,0,0,114,58, + 0,0,0,90,3,101,120,99,114,91,0,0,0,32,32,32, + 32,32,32,32,32,32,32,32,32,32,32,114,204,0,0,0, + 114,9,0,0,0,114,9,0,0,0,114,10,0,0,0,114, + 56,0,0,0,228,2,0,0,115,64,0,0,0,10,1,4, + 1,14,1,8,1,22,1,2,1,12,1,2,128,12,1,4, + 1,2,128,8,2,12,1,4,1,4,1,2,1,18,1,2, + 128,12,1,14,1,10,128,10,2,8,1,2,3,8,1,14, + 1,4,2,10,1,14,1,18,2,2,241,2,247,115,42,0, + 0,0,158,5,36,2,164,7,45,9,189,8,65,6,2,193, + 6,7,65,24,9,193,13,2,65,20,9,193,20,4,65,24, + 9,194,5,1,65,24,9,194,6,1,45,9,114,56,0,0, + 0,41,46,114,101,0,0,0,90,26,95,102,114,111,122,101, + 110,95,105,109,112,111,114,116,108,105,98,95,101,120,116,101, + 114,110,97,108,114,22,0,0,0,114,1,0,0,0,114,2, + 0,0,0,90,17,95,102,114,111,122,101,110,95,105,109,112, + 111,114,116,108,105,98,114,52,0,0,0,114,170,0,0,0, + 114,129,0,0,0,114,174,0,0,0,114,80,0,0,0,114, + 151,0,0,0,114,37,0,0,0,90,7,95,95,97,108,108, + 95,95,114,21,0,0,0,90,15,112,97,116,104,95,115,101, + 112,97,114,97,116,111,114,115,114,19,0,0,0,114,88,0, + 0,0,114,3,0,0,0,114,26,0,0,0,218,4,116,121, + 112,101,114,83,0,0,0,114,132,0,0,0,114,134,0,0, + 0,114,136,0,0,0,90,13,95,76,111,97,100,101,114,66, + 97,115,105,99,115,114,4,0,0,0,114,107,0,0,0,114, + 41,0,0,0,114,42,0,0,0,114,40,0,0,0,114,28, + 0,0,0,114,141,0,0,0,114,162,0,0,0,114,164,0, + 0,0,114,64,0,0,0,114,169,0,0,0,114,178,0,0, + 0,218,8,95,95,99,111,100,101,95,95,114,175,0,0,0, + 114,183,0,0,0,114,186,0,0,0,114,195,0,0,0,114, + 173,0,0,0,114,171,0,0,0,114,56,0,0,0,114,9, + 0,0,0,114,9,0,0,0,114,9,0,0,0,114,9,0, + 0,0,114,10,0,0,0,218,8,60,109,111,100,117,108,101, + 62,1,0,0,0,115,90,0,0,0,4,0,8,16,16,1, + 8,1,8,1,8,1,8,1,8,1,8,1,8,1,8,2, + 6,3,14,1,16,3,4,4,8,2,4,2,4,1,4,1, + 18,2,0,127,0,127,12,50,12,1,2,1,2,1,4,252, + 8,9,8,4,8,9,8,31,2,126,2,254,4,29,8,5, + 8,21,8,46,8,8,10,40,8,5,8,7,8,6,8,13, + 8,19,12,15,114,11,0,0,0, }; diff --git a/Python/marshal.c b/Python/marshal.c index 52bf2a51aaaec0..9ad04436a6a64a 100644 --- a/Python/marshal.c +++ b/Python/marshal.c @@ -518,6 +518,8 @@ w_complex_object(PyObject *v, char flag, WFILE *p) w_object(co->co_code, p); w_object(co->co_consts, p); w_object(co->co_names, p); + w_object(co->co_fastlocalnames, p); + w_string(co->co_fastlocalkinds, co->co_nlocalsplus, p); w_object(co->co_varnames, p); w_object(co->co_freevars, p); w_object(co->co_cellvars, p); @@ -1306,6 +1308,7 @@ r_object(RFILE *p) PyObject *code = NULL; PyObject *consts = NULL; PyObject *names = NULL; + PyObject *fastlocalnames = NULL; PyObject *varnames = NULL; PyObject *freevars = NULL; PyObject *cellvars = NULL; @@ -1347,6 +1350,18 @@ r_object(RFILE *p) names = r_object(p); if (names == NULL) goto code_error; + fastlocalnames = r_object(p); + if (fastlocalnames == NULL) + goto code_error; + + _PyFastLocalKinds fastlocalkinds; + Py_ssize_t nlocalsplus = PyTuple_GET_SIZE(fastlocalnames); + if (nlocalsplus) { + for (Py_ssize_t i = 0; i < nlocalsplus; i++) { + fastlocalkinds[i] = r_byte(p); + } + } + varnames = r_object(p); if (varnames == NULL) goto code_error; @@ -1391,9 +1406,8 @@ r_object(RFILE *p) .consts = consts, .names = names, - .varnames = varnames, - .cellvars = cellvars, - .freevars = freevars, + .fastlocalnames = fastlocalnames, + // fastlocalkinds is set below. .argcount = argcount, .posonlyargcount = posonlyargcount, @@ -1402,10 +1416,16 @@ r_object(RFILE *p) .stacksize = stacksize, .exceptiontable = exceptiontable, + + .varnames = varnames, + .cellvars = cellvars, + .freevars = freevars, }; if (_PyCode_Validate(&con) < 0) { goto code_error; } + memcpy(con.fastlocalkinds, fastlocalkinds, nlocalsplus); + v = (PyObject *)_PyCode_New(&con); if (v == NULL) { goto code_error; @@ -1416,6 +1436,7 @@ r_object(RFILE *p) Py_XDECREF(code); Py_XDECREF(consts); Py_XDECREF(names); + Py_XDECREF(fastlocalnames); Py_XDECREF(varnames); Py_XDECREF(freevars); Py_XDECREF(cellvars); From 3cf153974eadb0b35172aae0deba37715198b15c Mon Sep 17 00:00:00 2001 From: Eric Snow Date: Wed, 26 May 2021 11:46:38 -0600 Subject: [PATCH 02/31] Populate the fast locals info first. --- Objects/codeobject.c | 79 ++++++++++++++++++++++++++------------------ Python/compile.c | 12 +++++-- Python/marshal.c | 2 +- 3 files changed, 58 insertions(+), 35 deletions(-) diff --git a/Objects/codeobject.c b/Objects/codeobject.c index 430b278c700223..5224573596ee72 100644 --- a/Objects/codeobject.c +++ b/Objects/codeobject.c @@ -164,10 +164,10 @@ _PyCode_Validate(struct _PyCodeConstructor *con) con->code == NULL || !PyBytes_Check(con->code) || con->consts == NULL || !PyTuple_Check(con->consts) || con->names == NULL || !PyTuple_Check(con->names) || - (con->fastlocalnames != NULL && !PyTuple_Check(con->fastlocalnames)) || con->varnames == NULL || !PyTuple_Check(con->varnames) || con->freevars == NULL || !PyTuple_Check(con->freevars) || con->cellvars == NULL || !PyTuple_Check(con->cellvars) || + con->fastlocalnames == NULL || !PyTuple_Check(con->fastlocalnames) || con->name == NULL || !PyUnicode_Check(con->name) || con->filename == NULL || !PyUnicode_Check(con->filename) || con->linetable == NULL || !PyBytes_Check(con->linetable) || @@ -390,6 +390,41 @@ PyCode_NewWithPosOnlyArgs(int argcount, int posonlyargcount, int kwonlyargcount, PyObject *filename, PyObject *name, int firstlineno, PyObject *linetable, PyObject *exceptiontable) { + PyCodeObject *co = NULL; + PyObject *fastlocalnames = NULL; + _PyFastLocalKinds fastlocalkinds; + int nlocalsplus = 0; + if (varnames != NULL && PyTuple_Check(varnames) && + cellvars != NULL && PyTuple_Check(cellvars) && + freevars != NULL && PyTuple_Check(freevars) + ) { + // Set the "fast locals plus" info. + int nvarnames = (int)PyTuple_GET_SIZE(varnames); + int ncellvars = (int)PyTuple_GET_SIZE(cellvars); + int nfreevars = (int)PyTuple_GET_SIZE(freevars); + nlocalsplus = nvarnames + ncellvars + nfreevars; + fastlocalnames = PyTuple_New(nlocalsplus); + if (fastlocalnames == NULL) { + goto error; + } + int offset = 0; + for (int i = 0; i < nvarnames; i++, offset++) { + PyObject *name = PyTuple_GET_ITEM(varnames, i); + set_fastlocal_info(offset, name, CO_FAST_LOCAL, + fastlocalnames, fastlocalkinds); + } + for (int i = 0; i < ncellvars; i++, offset++) { + PyObject *name = PyTuple_GET_ITEM(cellvars, i); + set_fastlocal_info(offset, name, CO_FAST_CELL, + fastlocalnames, fastlocalkinds); + } + for (int i = 0; i < nfreevars; i++, offset++) { + PyObject *name = PyTuple_GET_ITEM(freevars, i); + set_fastlocal_info(offset, name, CO_FAST_FREE, + fastlocalnames, fastlocalkinds); + } + } + struct _PyCodeConstructor con = { .filename = filename, .name = name, @@ -402,7 +437,8 @@ PyCode_NewWithPosOnlyArgs(int argcount, int posonlyargcount, int kwonlyargcount, .consts = consts, .names = names, - // fastlocalnames and fastlocalkinds are set below. + .fastlocalnames = fastlocalnames, + // We copy fastlocalkinds into place below. .argcount = argcount, .posonlyargcount = posonlyargcount, @@ -417,45 +453,24 @@ PyCode_NewWithPosOnlyArgs(int argcount, int posonlyargcount, int kwonlyargcount, .freevars = freevars, }; if (_PyCode_Validate(&con) < 0) { - return NULL; + goto error; } if (nlocals != PyTuple_GET_SIZE(varnames)) { PyErr_SetString(PyExc_ValueError, "code: co_nlocals != len(co_varnames)"); - return NULL; - } - - // Set the "fast locals plus" info. - int ncellvars = (int)PyTuple_GET_SIZE(cellvars); - int nfreevars = (int)PyTuple_GET_SIZE(freevars); - int nlocalsplus = nlocals + ncellvars + nfreevars; - con.fastlocalnames = PyTuple_New(nlocalsplus); - if (con.fastlocalnames == NULL) { - return NULL; - } - // con->fastlocalkinds is statically allocated so it's ready to go. - int offset = 0; - for (int i = 0; i < nlocals; i++, offset++) { - PyObject *name = PyTuple_GET_ITEM(varnames, i); - set_fastlocal_info(offset, name, CO_FAST_LOCAL, - con.fastlocalnames, con.fastlocalkinds); - } - for (int i = 0; i < ncellvars; i++, offset++) { - PyObject *name = PyTuple_GET_ITEM(cellvars, i); - set_fastlocal_info(offset, name, CO_FAST_CELL, - con.fastlocalnames, con.fastlocalkinds); - } - for (int i = 0; i < nfreevars; i++, offset++) { - PyObject *name = PyTuple_GET_ITEM(freevars, i); - set_fastlocal_info(offset, name, CO_FAST_FREE, - con.fastlocalnames, con.fastlocalkinds); + goto error; } - PyCodeObject *co = _PyCode_New(&con); + co = _PyCode_New(&con); if (co == NULL) { - Py_DECREF(con.fastlocalnames); + goto error; } + + memcpy(co->co_fastlocalkinds, fastlocalkinds, nlocalsplus); + +error: + Py_XDECREF(fastlocalnames); return co; } diff --git a/Python/compile.c b/Python/compile.c index 87a4357502060e..5151867f6a6378 100644 --- a/Python/compile.c +++ b/Python/compile.c @@ -7224,6 +7224,7 @@ makecode(struct compiler *c, struct assembler *a, PyObject *constslist, PyObject *names = NULL; PyObject *consts = NULL; PyObject *fastlocalnames = NULL; + _PyFastLocalKinds fastlocalkinds; PyObject *varnames = NULL; PyObject *name = NULL; PyObject *freevars = NULL; @@ -7270,6 +7271,7 @@ makecode(struct compiler *c, struct assembler *a, PyObject *constslist, if (fastlocalnames == NULL) { goto error; } + compute_fastlocals_info(c, fastlocalnames, fastlocalkinds); posonlyargcount = Py_SAFE_DOWNCAST(c->u->u_posonlyargcount, Py_ssize_t, int); posorkeywordargcount = Py_SAFE_DOWNCAST(c->u->u_argcount, Py_ssize_t, int); @@ -7287,7 +7289,7 @@ makecode(struct compiler *c, struct assembler *a, PyObject *constslist, .names = names, .fastlocalnames = fastlocalnames, - // fastlocalkinds is statically allocated. + // We copy fastlocalkinds into place below. .argcount = posonlyargcount + posorkeywordargcount, .posonlyargcount = posonlyargcount, @@ -7304,12 +7306,18 @@ makecode(struct compiler *c, struct assembler *a, PyObject *constslist, if (_PyCode_Validate(&con) < 0) { goto error; } - compute_fastlocals_info(c, con.fastlocalnames, con.fastlocalkinds); + if (!merge_const_one(c, &fastlocalnames)) { goto error; } con.fastlocalnames = fastlocalnames; + co = _PyCode_New(&con); + if (co == NULL) { + goto error; + } + + memcpy(co->co_fastlocalkinds, fastlocalkinds, nlocalsplus); error: Py_XDECREF(names); diff --git a/Python/marshal.c b/Python/marshal.c index 9ad04436a6a64a..3865270d6fb601 100644 --- a/Python/marshal.c +++ b/Python/marshal.c @@ -1407,7 +1407,7 @@ r_object(RFILE *p) .names = names, .fastlocalnames = fastlocalnames, - // fastlocalkinds is set below. + // We copy fastlocalkinds into place below. .argcount = argcount, .posonlyargcount = posonlyargcount, From 3f1173253405f95639121874e0344cc4922763ac Mon Sep 17 00:00:00 2001 From: Eric Snow Date: Fri, 21 May 2021 08:51:06 -0600 Subject: [PATCH 03/31] Allow co_varnames and friends to be NULL. --- Include/cpython/code.h | 2 +- Include/internal/pycore_code.h | 12 +- Objects/codeobject.c | 365 ++- Objects/frameobject.c | 196 +- Objects/typeobject.c | 8 +- Python/ceval.c | 29 +- Python/compile.c | 46 +- Python/importlib.h | 3685 +++++++++++----------- Python/importlib_external.h | 5223 ++++++++++++++++---------------- Python/importlib_zipimport.h | 2040 ++++++------- Python/marshal.c | 29 +- Python/suggestions.c | 9 +- 12 files changed, 5718 insertions(+), 5926 deletions(-) diff --git a/Include/cpython/code.h b/Include/cpython/code.h index 31a9ef4a72c717..5a938a1223a8f7 100644 --- a/Include/cpython/code.h +++ b/Include/cpython/code.h @@ -153,7 +153,7 @@ struct PyCodeObject { PyAPI_DATA(PyTypeObject) PyCode_Type; #define PyCode_Check(op) Py_IS_TYPE(op, &PyCode_Type) -#define PyCode_GetNumFree(op) (PyTuple_GET_SIZE((op)->co_freevars)) +#define PyCode_GetNumFree(op) ((op)->co_nfreevars) /* Public interface */ PyAPI_FUNC(PyCodeObject *) PyCode_New( diff --git a/Include/internal/pycore_code.h b/Include/internal/pycore_code.h index 97144b3943849c..3fd95582ac1c3c 100644 --- a/Include/internal/pycore_code.h +++ b/Include/internal/pycore_code.h @@ -74,12 +74,6 @@ struct _PyCodeConstructor { /* used by the eval loop */ PyObject *exceptiontable; - - // Everything else could be computed later from fastlocal*. - // XXX Drop these. - PyObject *varnames; - PyObject *cellvars; - PyObject *freevars; }; // Using an "arguments struct" like this is helpful for maintainability @@ -99,6 +93,12 @@ PyAPI_FUNC(PyCodeObject *) _PyCode_New(struct _PyCodeConstructor *); int _PyCode_InitOpcache(PyCodeObject *co); +/* Getters for internal PyCodeObject data. */ +PyAPI_FUNC(PyObject *) _PyCode_GetVarnames(PyCodeObject *); +PyAPI_FUNC(PyObject *) _PyCode_GetCellvars(PyCodeObject *); +PyAPI_FUNC(PyObject *) _PyCode_GetFreevars(PyCodeObject *); + + #ifdef __cplusplus } #endif diff --git a/Objects/codeobject.c b/Objects/codeobject.c index 5224573596ee72..321674eb011a85 100644 --- a/Objects/codeobject.c +++ b/Objects/codeobject.c @@ -154,6 +154,86 @@ validate_and_copy_tuple(PyObject *tup) * _PyCode_New() ******************/ +// This is also used in compile.c. +void +set_fastlocal_info(Py_ssize_t offset, PyObject *name, _PyFastLocalKind kind, + PyObject *names, _PyFastLocalKinds kinds) +{ + Py_INCREF(name); + PyTuple_SET_ITEM(names, offset, name); + kinds[offset] = kind; + + if (kind == CO_FAST_CELL) { + // Cells can overlap with args, so mark those cases. + int nlocalsplus = (int)PyTuple_GET_SIZE(names); + for (int i = 0; i < nlocalsplus; i++) { + _PyFastLocalKind kind = kinds[i]; + if (kind && !(kind & CO_FAST_LOCAL)) { + // We've moved past the locals. + break; + } + PyObject *varname = PyTuple_GET_ITEM(names, i); + int cmp = PyUnicode_Compare(name, varname); + if (cmp == 0) { + kinds[i] |= CO_FAST_CELL; + break; + } + assert(cmp > 0 || !PyErr_Occurred()); + } + } +} + +static inline void +get_fastlocals_counts(PyObject *names, _PyFastLocalKinds kinds, + int *pnlocals, int *pncellvars, + int *pnfreevars) +{ + int nlocals = 0; + int ncellvars = 0; + int nfreevars = 0; + for (Py_ssize_t i = 0; i < PyTuple_GET_SIZE(names); i++) { + if (kinds[i] & CO_FAST_LOCAL) { + nlocals += 1; + } + else if (kinds[i] & CO_FAST_CELL) { + ncellvars += 1; + } + else if (kinds[i] & CO_FAST_FREE) { + nfreevars += 1; + } + } + if (pnlocals != NULL) { + *pnlocals = nlocals; + } + if (pncellvars != NULL) { + *pncellvars = ncellvars; + } + if (pnfreevars != NULL) { + *pnfreevars = nfreevars; + } +} + +static inline PyObject * +get_fastlocals_names(PyCodeObject *co, _PyFastLocalKind kind, Py_ssize_t num) +{ + PyObject *names = PyTuple_New(num); + if (names == NULL) { + return NULL; + } + Py_ssize_t index = 0; + for (Py_ssize_t offset = 0; offset < co->co_nlocalsplus; offset++) { + if (co->co_fastlocalkinds[offset] & kind) { + // XXX + assert(index < num); + PyObject *name = PyTuple_GET_ITEM(co->co_fastlocalnames, offset); + Py_INCREF(name); + PyTuple_SET_ITEM(names, index, name); + index += 1; + } + } + return names; +} + int _PyCode_Validate(struct _PyCodeConstructor *con) { @@ -164,9 +244,6 @@ _PyCode_Validate(struct _PyCodeConstructor *con) con->code == NULL || !PyBytes_Check(con->code) || con->consts == NULL || !PyTuple_Check(con->consts) || con->names == NULL || !PyTuple_Check(con->names) || - con->varnames == NULL || !PyTuple_Check(con->varnames) || - con->freevars == NULL || !PyTuple_Check(con->freevars) || - con->cellvars == NULL || !PyTuple_Check(con->cellvars) || con->fastlocalnames == NULL || !PyTuple_Check(con->fastlocalnames) || con->name == NULL || !PyUnicode_Check(con->name) || con->filename == NULL || !PyUnicode_Check(con->filename) || @@ -176,6 +253,7 @@ _PyCode_Validate(struct _PyCodeConstructor *con) PyErr_BadInternalCall(); return -1; } + // For now we don't worry about checking fastlocalkinds. /* Make sure that code is indexable with an int, this is a long running assumption in ceval.c and many parts of @@ -188,7 +266,10 @@ _PyCode_Validate(struct _PyCodeConstructor *con) /* Ensure that the co_varnames has enough names to cover the arg counts. * Note that totalargs = nlocals - nplainlocals. We check nplainlocals * here to avoid the possibility of overflow (however remote). */ - int nplainlocals = (int)PyTuple_GET_SIZE(con->varnames) - + int nlocals; + get_fastlocals_counts(con->fastlocalnames, con->fastlocalkinds, + &nlocals, NULL, NULL); + int nplainlocals = nlocals - con->argcount - con->kwonlyargcount - ((con->flags & CO_VARARGS) != 0) - @@ -204,10 +285,10 @@ _PyCode_Validate(struct _PyCodeConstructor *con) static void init_code(PyCodeObject *co, struct _PyCodeConstructor *con) { - int nlocals = (int)PyTuple_GET_SIZE(con->varnames); - int ncellvars = (int)PyTuple_GET_SIZE(con->cellvars); - int nfreevars = (int)PyTuple_GET_SIZE(con->freevars); - int nlocalsplus = nlocals + ncellvars + nfreevars; + int nlocalsplus = (int)PyTuple_GET_SIZE(con->fastlocalnames); + int nlocals, ncellvars, nfreevars; + get_fastlocals_counts(con->fastlocalnames, con->fastlocalkinds, + &nlocals, &ncellvars, &nfreevars); Py_INCREF(con->filename); co->co_filename = con->filename; @@ -245,12 +326,9 @@ init_code(PyCodeObject *co, struct _PyCodeConstructor *con) co->co_nlocals = nlocals; co->co_ncellvars = ncellvars; co->co_nfreevars = nfreevars; - Py_INCREF(con->varnames); - co->co_varnames = con->varnames; - Py_INCREF(con->cellvars); - co->co_cellvars = con->cellvars; - Py_INCREF(con->freevars); - co->co_freevars = con->freevars; + co->co_varnames = NULL; + co->co_cellvars = NULL; + co->co_freevars = NULL; /* not set */ co->co_weakreflist = NULL; @@ -283,43 +361,34 @@ _PyCode_New(struct _PyCodeConstructor *con) if (intern_strings(con->fastlocalnames) < 0) { return NULL; } - if (intern_strings(con->varnames) < 0) { - return NULL; - } - if (intern_strings(con->freevars) < 0) { - return NULL; - } - if (intern_strings(con->cellvars) < 0) { + + PyCodeObject *co = PyObject_New(PyCodeObject, &PyCode_Type); + if (co == NULL) { + PyErr_NoMemory(); return NULL; } + init_code(co, con); /* Check for any inner or outer closure references */ - int ncellvars = (int)PyTuple_GET_SIZE(con->cellvars); - if (!ncellvars && !PyTuple_GET_SIZE(con->freevars)) { + if (!co->co_ncellvars && !co->co_nfreevars) { con->flags |= CO_NOFREE; } else { con->flags &= ~CO_NOFREE; } - PyCodeObject *co = PyObject_New(PyCodeObject, &PyCode_Type); - if (co == NULL) { - PyErr_NoMemory(); - return NULL; - } - init_code(co, con); - /* Create mapping between cells and arguments if needed. */ - if (ncellvars) { + if (co->co_ncellvars) { int totalargs = co->co_argcount + co->co_kwonlyargcount + ((co->co_flags & CO_VARARGS) != 0) + ((co->co_flags & CO_VARKEYWORDS) != 0); assert(totalargs <= co->co_nlocals); /* Find cells which are also arguments. */ - for (int i = 0; i < ncellvars; i++) { - PyObject *cellname = PyTuple_GET_ITEM(co->co_cellvars, i); + for (int i = 0; i < co->co_ncellvars; i++) { + PyObject *cellname = PyTuple_GET_ITEM(co->co_fastlocalnames, + i + co->co_nlocals); for (int j = 0; j < totalargs; j++) { - PyObject *argname = PyTuple_GET_ITEM(co->co_varnames, j); + PyObject *argname = PyTuple_GET_ITEM(co->co_fastlocalnames, j); int cmp = PyUnicode_Compare(cellname, argname); if (cmp == -1 && PyErr_Occurred()) { Py_DECREF(co); @@ -327,13 +396,13 @@ _PyCode_New(struct _PyCodeConstructor *con) } if (cmp == 0) { if (co->co_cell2arg == NULL) { - co->co_cell2arg = PyMem_NEW(int, ncellvars); + co->co_cell2arg = PyMem_NEW(int, co->co_ncellvars); if (co->co_cell2arg == NULL) { Py_DECREF(co); PyErr_NoMemory(); return NULL; } - for (int k = 0; k < ncellvars; k++) { + for (int k = 0; k < co->co_ncellvars; k++) { co->co_cell2arg[k] = CO_CELL_NOT_AN_ARG; } } @@ -353,35 +422,6 @@ _PyCode_New(struct _PyCodeConstructor *con) * the legacy "constructors" ******************/ -// This is also used in compile.c. -void -set_fastlocal_info(Py_ssize_t offset, PyObject *name, _PyFastLocalKind kind, - PyObject *names, _PyFastLocalKinds kinds) -{ - Py_INCREF(name); - PyTuple_SET_ITEM(names, offset, name); - kinds[offset] = kind; - - if (kind == CO_FAST_CELL) { - // Cells can overlap with args, so mark those cases. - int nlocalsplus = (int)PyTuple_GET_SIZE(names); - for (int i = 0; i < nlocalsplus; i++) { - _PyFastLocalKind kind = kinds[i]; - if (kind && !(kind & CO_FAST_LOCAL)) { - // We've moved past the locals. - break; - } - PyObject *varname = PyTuple_GET_ITEM(names, i); - int cmp = PyUnicode_Compare(name, varname); - if (cmp == 0) { - kinds[i] |= CO_FAST_CELL; - break; - } - assert(cmp > 0 || !PyErr_Occurred()); - } - } -} - PyCodeObject * PyCode_NewWithPosOnlyArgs(int argcount, int posonlyargcount, int kwonlyargcount, int nlocals, int stacksize, int flags, @@ -393,36 +433,39 @@ PyCode_NewWithPosOnlyArgs(int argcount, int posonlyargcount, int kwonlyargcount, PyCodeObject *co = NULL; PyObject *fastlocalnames = NULL; _PyFastLocalKinds fastlocalkinds; - int nlocalsplus = 0; - if (varnames != NULL && PyTuple_Check(varnames) && - cellvars != NULL && PyTuple_Check(cellvars) && - freevars != NULL && PyTuple_Check(freevars) + + if (varnames == NULL || !PyTuple_Check(varnames) || + cellvars == NULL || !PyTuple_Check(cellvars) || + freevars == NULL || !PyTuple_Check(freevars) ) { - // Set the "fast locals plus" info. - int nvarnames = (int)PyTuple_GET_SIZE(varnames); - int ncellvars = (int)PyTuple_GET_SIZE(cellvars); - int nfreevars = (int)PyTuple_GET_SIZE(freevars); - nlocalsplus = nvarnames + ncellvars + nfreevars; - fastlocalnames = PyTuple_New(nlocalsplus); - if (fastlocalnames == NULL) { - goto error; - } - int offset = 0; - for (int i = 0; i < nvarnames; i++, offset++) { - PyObject *name = PyTuple_GET_ITEM(varnames, i); - set_fastlocal_info(offset, name, CO_FAST_LOCAL, - fastlocalnames, fastlocalkinds); - } - for (int i = 0; i < ncellvars; i++, offset++) { - PyObject *name = PyTuple_GET_ITEM(cellvars, i); - set_fastlocal_info(offset, name, CO_FAST_CELL, - fastlocalnames, fastlocalkinds); - } - for (int i = 0; i < nfreevars; i++, offset++) { - PyObject *name = PyTuple_GET_ITEM(freevars, i); - set_fastlocal_info(offset, name, CO_FAST_FREE, - fastlocalnames, fastlocalkinds); - } + PyErr_BadInternalCall(); + return NULL; + } + + // Set the "fast locals plus" info. + int nvarnames = (int)PyTuple_GET_SIZE(varnames); + int ncellvars = (int)PyTuple_GET_SIZE(cellvars); + int nfreevars = (int)PyTuple_GET_SIZE(freevars); + int nlocalsplus = nvarnames + ncellvars + nfreevars; + fastlocalnames = PyTuple_New(nlocalsplus); + if (fastlocalnames == NULL) { + goto error; + } + int offset = 0; + for (int i = 0; i < nvarnames; i++, offset++) { + PyObject *name = PyTuple_GET_ITEM(varnames, i); + set_fastlocal_info(offset, name, CO_FAST_LOCAL, + fastlocalnames, fastlocalkinds); + } + for (int i = 0; i < ncellvars; i++, offset++) { + PyObject *name = PyTuple_GET_ITEM(cellvars, i); + set_fastlocal_info(offset, name, CO_FAST_CELL, + fastlocalnames, fastlocalkinds); + } + for (int i = 0; i < nfreevars; i++, offset++) { + PyObject *name = PyTuple_GET_ITEM(freevars, i); + set_fastlocal_info(offset, name, CO_FAST_FREE, + fastlocalnames, fastlocalkinds); } struct _PyCodeConstructor con = { @@ -447,15 +490,12 @@ PyCode_NewWithPosOnlyArgs(int argcount, int posonlyargcount, int kwonlyargcount, .stacksize = stacksize, .exceptiontable = exceptiontable, - - .varnames = varnames, - .cellvars = cellvars, - .freevars = freevars, }; + memcpy(con.fastlocalkinds, fastlocalkinds, nlocalsplus); + if (_PyCode_Validate(&con) < 0) { goto error; } - if (nlocals != PyTuple_GET_SIZE(varnames)) { PyErr_SetString(PyExc_ValueError, "code: co_nlocals != len(co_varnames)"); @@ -467,7 +507,12 @@ PyCode_NewWithPosOnlyArgs(int argcount, int posonlyargcount, int kwonlyargcount, goto error; } - memcpy(co->co_fastlocalkinds, fastlocalkinds, nlocalsplus); + Py_INCREF(varnames); + co->co_varnames = varnames; + Py_INCREF(cellvars); + co->co_cellvars = cellvars; + Py_INCREF(freevars); + co->co_freevars = freevars; error: Py_XDECREF(fastlocalnames); @@ -523,9 +568,6 @@ PyCode_NewEmpty(const char *filename, const char *funcname, int firstlineno) .consts = nulltuple, .names = nulltuple, .fastlocalnames = nulltuple, - .varnames = nulltuple, - .cellvars = nulltuple, - .freevars = nulltuple, .exceptiontable = emptystring, }; result = _PyCode_New(&con); @@ -968,6 +1010,53 @@ _PyCode_SetExtra(PyObject *code, Py_ssize_t index, void *extra) } +/****************** + * other PyCodeObject accessor functions + ******************/ + +PyObject * +_PyCode_GetVarnames(PyCodeObject *co) +{ + if (co->co_varnames == NULL) { + co->co_varnames = get_fastlocals_names(co, CO_FAST_LOCAL, + co->co_nlocals); + if (co->co_varnames == NULL) { + return NULL; + } + } + Py_INCREF(co->co_varnames); + return co->co_varnames; +} + +PyObject * +_PyCode_GetCellvars(PyCodeObject *co) +{ + if (co->co_cellvars == NULL) { + co->co_cellvars = get_fastlocals_names(co, CO_FAST_CELL, + co->co_ncellvars); + if (co->co_cellvars == NULL) { + return NULL; + } + } + Py_INCREF(co->co_cellvars); + return co->co_cellvars; +} + +PyObject * +_PyCode_GetFreevars(PyCodeObject *co) +{ + if (co->co_freevars == NULL) { + co->co_freevars = get_fastlocals_names(co, CO_FAST_FREE, + co->co_nfreevars); + if (co->co_freevars == NULL) { + return NULL; + } + } + Py_INCREF(co->co_freevars); + return co->co_freevars; +} + + /****************** * PyCode_Type ******************/ @@ -1249,15 +1338,11 @@ static PyMemberDef code_memberlist[] = { {"co_argcount", T_INT, OFF(co_argcount), READONLY}, {"co_posonlyargcount", T_INT, OFF(co_posonlyargcount), READONLY}, {"co_kwonlyargcount", T_INT, OFF(co_kwonlyargcount), READONLY}, - {"co_nlocals", T_INT, OFF(co_nlocals), READONLY}, {"co_stacksize",T_INT, OFF(co_stacksize), READONLY}, {"co_flags", T_INT, OFF(co_flags), READONLY}, {"co_code", T_OBJECT, OFF(co_code), READONLY}, {"co_consts", T_OBJECT, OFF(co_consts), READONLY}, {"co_names", T_OBJECT, OFF(co_names), READONLY}, - {"co_varnames", T_OBJECT, OFF(co_varnames), READONLY}, - {"co_freevars", T_OBJECT, OFF(co_freevars), READONLY}, - {"co_cellvars", T_OBJECT, OFF(co_cellvars), READONLY}, {"co_filename", T_OBJECT, OFF(co_filename), READONLY}, {"co_name", T_OBJECT, OFF(co_name), READONLY}, {"co_firstlineno", T_INT, OFF(co_firstlineno), READONLY}, @@ -1274,8 +1359,37 @@ code_getlnotab(PyCodeObject *code, void *closure) return decode_linetable(code); } +static PyObject * +code_getnlocals(PyCodeObject *code, void *closure) +{ + return PyLong_FromLong(code->co_nlocals); +} + +static PyObject * +code_getvarnames(PyCodeObject *code, void *closure) +{ + return _PyCode_GetVarnames(code); +} + +static PyObject * +code_getcellvars(PyCodeObject *code, void *closure) +{ + return _PyCode_GetCellvars(code); +} + +static PyObject * +code_getfreevars(PyCodeObject *code, void *closure) +{ + return _PyCode_GetFreevars(code); +} + static PyGetSetDef code_getsetlist[] = { {"co_lnotab", (getter)code_getlnotab, NULL, NULL}, + // The following old names are kept for backward compatibility. + {"co_nlocals", (getter)code_getnlocals, NULL, NULL}, + {"co_varnames", (getter)code_getvarnames, NULL, NULL}, + {"co_cellvars", (getter)code_getcellvars, NULL, NULL}, + {"co_freevars", (getter)code_getfreevars, NULL, NULL}, {0} }; @@ -1373,11 +1487,46 @@ code_replace_impl(PyCodeObject *self, int co_argcount, return NULL; } - return (PyObject *)PyCode_NewWithPosOnlyArgs( + PyObject *varnames = NULL; + PyObject *cellvars = NULL; + PyObject *freevars = NULL; + if (co_varnames == NULL) { + varnames = get_fastlocals_names(self, CO_FAST_LOCAL, self->co_nlocals); + if (varnames == NULL) { + goto error; + } + co_varnames = varnames; + } + if (co_cellvars == NULL) { + cellvars = get_fastlocals_names(self, CO_FAST_CELL, self->co_ncellvars); + if (cellvars == NULL) { + goto error; + } + co_cellvars = cellvars; + } + if (co_freevars == NULL) { + freevars = get_fastlocals_names(self, CO_FAST_FREE, self->co_nfreevars); + if (freevars == NULL) { + goto error; + } + co_freevars = freevars; + } + + PyCodeObject *co = PyCode_NewWithPosOnlyArgs( co_argcount, co_posonlyargcount, co_kwonlyargcount, co_nlocals, co_stacksize, co_flags, (PyObject*)co_code, co_consts, co_names, co_varnames, co_freevars, co_cellvars, co_filename, co_name, co_firstlineno, (PyObject*)co_linetable, (PyObject*)co_exceptiontable); + if (co == NULL) { + goto error; + } + return (PyObject *)co; + +error: + Py_XDECREF(varnames); + Py_XDECREF(cellvars); + Py_XDECREF(freevars); + return NULL; } /* XXX code objects need to participate in GC? */ diff --git a/Objects/frameobject.c b/Objects/frameobject.c index 024a8cf3877953..86e3e79031cd86 100644 --- a/Objects/frameobject.c +++ b/Objects/frameobject.c @@ -4,6 +4,7 @@ #include "pycore_ceval.h" // _PyEval_BuiltinsFromGlobals() #include "pycore_moduleobject.h" // _PyModule_GetDict() #include "pycore_object.h" // _PyObject_GC_UNTRACK() +#include "pycore_code.h" // CO_FAST_LOCAL, etc. #include "frameobject.h" // PyFrameObject #include "pycore_frame.h" @@ -917,112 +918,13 @@ PyFrame_New(PyThreadState *tstate, PyCodeObject *code, return f; } -/* Convert between "fast" version of locals and dictionary version. - - map and values are input arguments. map is a tuple of strings. - values is an array of PyObject*. At index i, map[i] is the name of - the variable with value values[i]. The function copies the first - nmap variable from map/values into dict. If values[i] is NULL, - the variable is deleted from dict. - - If deref is true, then the values being copied are cell variables - and the value is extracted from the cell variable before being put - in dict. - */ - -static int -map_to_dict(PyObject *map, Py_ssize_t nmap, PyObject *dict, PyObject **values, - int deref) -{ - Py_ssize_t j; - assert(PyTuple_Check(map)); - assert(PyDict_Check(dict)); - assert(PyTuple_Size(map) >= nmap); - for (j=0; j < nmap; j++) { - PyObject *key = PyTuple_GET_ITEM(map, j); - PyObject *value = values[j]; - assert(PyUnicode_Check(key)); - if (deref && value != NULL) { - assert(PyCell_Check(value)); - value = PyCell_GET(value); - } - if (value == NULL) { - if (PyObject_DelItem(dict, key) != 0) { - if (PyErr_ExceptionMatches(PyExc_KeyError)) - PyErr_Clear(); - else - return -1; - } - } - else { - if (PyObject_SetItem(dict, key, value) != 0) - return -1; - } - } - return 0; -} - -/* Copy values from the "locals" dict into the fast locals. - - dict is an input argument containing string keys representing - variables names and arbitrary PyObject* as values. - - map and values are input arguments. map is a tuple of strings. - values is an array of PyObject*. At index i, map[i] is the name of - the variable with value values[i]. The function copies the first - nmap variable from map/values into dict. If values[i] is NULL, - the variable is deleted from dict. - - If deref is true, then the values being copied are cell variables - and the value is extracted from the cell variable before being put - in dict. If clear is true, then variables in map but not in dict - are set to NULL in map; if clear is false, variables missing in - dict are ignored. - - Exceptions raised while modifying the dict are silently ignored, - because there is no good way to report them. -*/ - -static void -dict_to_map(PyObject *map, Py_ssize_t nmap, PyObject *dict, PyObject **values, - int deref, int clear) -{ - Py_ssize_t j; - assert(PyTuple_Check(map)); - assert(PyDict_Check(dict)); - assert(PyTuple_Size(map) >= nmap); - for (j=0; j < nmap; j++) { - PyObject *key = PyTuple_GET_ITEM(map, j); - PyObject *value = PyObject_GetItem(dict, key); - assert(PyUnicode_Check(key)); - /* We only care about NULLs if clear is true. */ - if (value == NULL) { - PyErr_Clear(); - if (!clear) - continue; - } - if (deref) { - assert(PyCell_Check(values[j])); - if (PyCell_GET(values[j]) != value) { - if (PyCell_Set(values[j], value) < 0) - PyErr_Clear(); - } - } else if (values[j] != value) { - Py_XINCREF(value); - Py_XSETREF(values[j], value); - } - Py_XDECREF(value); - } -} - int PyFrame_FastToLocalsWithError(PyFrameObject *f) { /* Merge fast locals into f->f_locals */ - PyObject *locals, *map; + PyObject *locals; PyObject **fast; PyCodeObject *co; - Py_ssize_t j; if (f == NULL) { PyErr_BadInternalCall(); @@ -1035,25 +937,9 @@ PyFrame_FastToLocalsWithError(PyFrameObject *f) return -1; } co = f->f_code; - map = co->co_varnames; - if (!PyTuple_Check(map)) { - PyErr_Format(PyExc_SystemError, - "co_varnames must be a tuple, not %s", - Py_TYPE(map)->tp_name); - return -1; - } fast = f->f_localsptr; - j = PyTuple_GET_SIZE(map); - if (j > co->co_nlocals) - j = co->co_nlocals; - if (co->co_nlocals) { - if (map_to_dict(map, j, locals, fast, 0) < 0) - return -1; - } - if (co->co_ncellvars || co->co_nfreevars) { - if (map_to_dict(co->co_cellvars, co->co_ncellvars, - locals, fast + co->co_nlocals, 1)) - return -1; + for (int i = 0; i < co->co_nlocalsplus; i++) { + _PyFastLocalKind kind = co->co_fastlocalkinds[i]; /* If the namespace is unoptimized, then one of the following cases applies: @@ -1063,9 +949,28 @@ PyFrame_FastToLocalsWithError(PyFrameObject *f) We don't want to accidentally copy free variables into the locals dict used by the class. */ - if (co->co_flags & CO_OPTIMIZED) { - if (map_to_dict(co->co_freevars, co->co_nfreevars, locals, - fast + co->co_nlocals + co->co_ncellvars, 1) < 0) { + if (kind & CO_FAST_FREE && !(co->co_flags & CO_OPTIMIZED)) { + continue; + } + + PyObject *name = PyTuple_GET_ITEM(co->co_fastlocalnames, i); + PyObject *value = fast[i]; + if (kind & (CO_FAST_CELL | CO_FAST_FREE) && value != NULL) { + assert(PyCell_Check(value)); + value = PyCell_GET(value); + } + if (value == NULL) { + if (PyObject_DelItem(locals, name) != 0) { + if (PyErr_ExceptionMatches(PyExc_KeyError)) { + PyErr_Clear(); + } + else { + return -1; + } + } + } + else { + if (PyObject_SetItem(locals, name, value) != 0) { return -1; } } @@ -1089,36 +994,47 @@ void PyFrame_LocalsToFast(PyFrameObject *f, int clear) { /* Merge locals into fast locals */ - PyObject *locals, *map; + PyObject *locals; PyObject **fast; PyObject *error_type, *error_value, *error_traceback; PyCodeObject *co; - Py_ssize_t j; if (f == NULL) return; locals = _PyFrame_Specials(f)[FRAME_SPECIALS_LOCALS_OFFSET]; - co = f->f_code; - map = co->co_varnames; if (locals == NULL) return; - if (!PyTuple_Check(map)) - return; - PyErr_Fetch(&error_type, &error_value, &error_traceback); fast = f->f_localsptr; - j = PyTuple_GET_SIZE(map); - if (j > co->co_nlocals) - j = co->co_nlocals; - if (co->co_nlocals) - dict_to_map(co->co_varnames, j, locals, fast, 0, clear); - if (co->co_ncellvars || co->co_nfreevars) { - dict_to_map(co->co_cellvars, co->co_ncellvars, - locals, fast + co->co_nlocals, 1, clear); + co = f->f_code; + + PyErr_Fetch(&error_type, &error_value, &error_traceback); + for (int i = 0; i < co->co_nlocalsplus; i++) { + _PyFastLocalKind kind = co->co_fastlocalkinds[i]; + /* Same test as in PyFrame_FastToLocals() above. */ - if (co->co_flags & CO_OPTIMIZED) { - dict_to_map(co->co_freevars, co->co_nfreevars, locals, - fast + co->co_nlocals + co->co_ncellvars, 1, - clear); + if (kind & CO_FAST_FREE && !(co->co_flags & CO_OPTIMIZED)) { + continue; + } + PyObject *name = PyTuple_GET_ITEM(co->co_fastlocalnames, i); + PyObject *value = PyObject_GetItem(locals, name); + /* We only care about NULLs if clear is true. */ + if (value == NULL) { + PyErr_Clear(); + if (!clear) { + continue; + } + } + if (kind & (CO_FAST_CELL | CO_FAST_FREE)) { + assert(PyCell_Check(fast[i])); + if (PyCell_GET(fast[i]) != value) { + if (PyCell_Set(fast[i], value) < 0) { + PyErr_Clear(); + } + } + } else if (fast[i] != value) { + Py_XINCREF(value); + Py_XSETREF(fast[i], value); } + Py_XDECREF(value); } PyErr_Restore(error_type, error_value, error_traceback); } diff --git a/Objects/typeobject.c b/Objects/typeobject.c index bf792e21c162dd..28e768e1ad4fd1 100644 --- a/Objects/typeobject.c +++ b/Objects/typeobject.c @@ -8895,12 +8895,12 @@ super_init_without_args(PyFrameObject *f, PyCodeObject *co, } PyTypeObject *type = NULL; - for (i = 0; i < co->co_nfreevars; i++) { - PyObject *name = PyTuple_GET_ITEM(co->co_freevars, i); + i = co->co_nlocals + co->co_ncellvars; + for (; i < co->co_nlocalsplus; i++) { + PyObject *name = PyTuple_GET_ITEM(co->co_fastlocalnames, i); assert(PyUnicode_Check(name)); if (_PyUnicode_EqualToASCIIId(name, &PyId___class__)) { - Py_ssize_t index = co->co_nlocals + co->co_ncellvars + i; - PyObject *cell = f->f_localsptr[index]; + PyObject *cell = f->f_localsptr[i]; if (cell == NULL || !PyCell_Check(cell)) { PyErr_SetString(PyExc_RuntimeError, "super(): bad __class__ cell"); diff --git a/Python/ceval.c b/Python/ceval.c index 4dff7bd2df9834..0e8bc84e6e27b4 100644 --- a/Python/ceval.c +++ b/Python/ceval.c @@ -1825,7 +1825,8 @@ _PyEval_EvalFrameDefault(PyThreadState *tstate, PyFrameObject *f, int throwflag) if (value == NULL) { format_exc_check_arg(tstate, PyExc_UnboundLocalError, UNBOUNDLOCAL_ERROR_MSG, - PyTuple_GetItem(co->co_varnames, oparg)); + PyTuple_GetItem(co->co_fastlocalnames, + oparg)); goto error; } Py_INCREF(value); @@ -3053,7 +3054,7 @@ _PyEval_EvalFrameDefault(PyThreadState *tstate, PyFrameObject *f, int throwflag) format_exc_check_arg( tstate, PyExc_UnboundLocalError, UNBOUNDLOCAL_ERROR_MSG, - PyTuple_GetItem(co->co_varnames, oparg) + PyTuple_GetItem(co->co_fastlocalnames, oparg) ); goto error; } @@ -3082,9 +3083,9 @@ _PyEval_EvalFrameDefault(PyThreadState *tstate, PyFrameObject *f, int throwflag) Py_ssize_t idx; assert(locals); assert(oparg >= co->co_ncellvars); - idx = oparg - co->co_ncellvars; - assert(idx >= 0 && idx < co->co_nfreevars); - name = PyTuple_GET_ITEM(co->co_freevars, idx); + idx = oparg + co->co_nlocals; + assert(idx < co->co_nlocalsplus); + name = PyTuple_GET_ITEM(co->co_fastlocalnames, idx); if (PyDict_CheckExact(locals)) { value = PyDict_GetItemWithError(locals, name); if (value != NULL) { @@ -4658,7 +4659,7 @@ missing_arguments(PyThreadState *tstate, PyCodeObject *co, } for (i = start; i < end; i++) { if (GETLOCAL(i) == NULL) { - PyObject *raw = PyTuple_GET_ITEM(co->co_varnames, i); + PyObject *raw = PyTuple_GET_ITEM(co->co_fastlocalnames, i); PyObject *name = PyObject_Repr(raw); if (name == NULL) { Py_DECREF(missing_names); @@ -4739,7 +4740,7 @@ positional_only_passed_as_keyword(PyThreadState *tstate, PyCodeObject *co, PyObject* posonly_names = PyList_New(0); for(int k=0; k < co->co_posonlyargcount; k++){ - PyObject* posonly_name = PyTuple_GET_ITEM(co->co_varnames, k); + PyObject* posonly_name = PyTuple_GET_ITEM(co->co_fastlocalnames, k); for (int k2=0; k2co_varnames))->ob_item; + co_varnames = ((PyTupleObject *)(co->co_fastlocalnames))->ob_item; for (j = co->co_posonlyargcount; j < total_args; j++) { PyObject *varname = co_varnames[j]; if (varname == keyword) { @@ -5039,7 +5040,7 @@ initialize_locals(PyThreadState *tstate, PyFrameConstructor *con, for (i = co->co_argcount; i < total_args; i++) { if (GETLOCAL(i) != NULL) continue; - PyObject *varname = PyTuple_GET_ITEM(co->co_varnames, i); + PyObject *varname = PyTuple_GET_ITEM(co->co_fastlocalnames, i); if (con->fc_kwdefaults != NULL) { PyObject *def = PyDict_GetItemWithError(con->fc_kwdefaults, varname); if (def) { @@ -6417,15 +6418,11 @@ format_exc_unbound(PyThreadState *tstate, PyCodeObject *co, int oparg) /* Don't stomp existing exception */ if (_PyErr_Occurred(tstate)) return; + name = PyTuple_GET_ITEM(co->co_fastlocalnames, oparg + co->co_nlocals); if (oparg < co->co_ncellvars) { - name = PyTuple_GET_ITEM(co->co_cellvars, - oparg); - format_exc_check_arg(tstate, - PyExc_UnboundLocalError, - UNBOUNDLOCAL_ERROR_MSG, - name); + format_exc_check_arg(tstate, PyExc_UnboundLocalError, + UNBOUNDLOCAL_ERROR_MSG, name); } else { - name = PyTuple_GET_ITEM(co->co_freevars, oparg - co->co_ncellvars); format_exc_check_arg(tstate, PyExc_NameError, UNBOUNDFREE_ERROR_MSG, name); } diff --git a/Python/compile.c b/Python/compile.c index 5151867f6a6378..3abddd108cb20b 100644 --- a/Python/compile.c +++ b/Python/compile.c @@ -2047,16 +2047,16 @@ static int 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) { - for (i = 0; i < free; ++i) { + if (co->co_nfreevars) { + int i = co->co_nlocals + co->co_ncellvars; + for (; i < co->co_nlocalsplus; ++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); + PyObject *name = PyTuple_GET_ITEM(co->co_fastlocalnames, i); /* Special case: If a class contains a method with a free variable that has the same name as a method, @@ -2076,6 +2076,10 @@ compiler_make_closure(struct compiler *c, PyCodeObject *co, Py_ssize_t flags, arg = compiler_lookup_arg(c->u->u_freevars, name); } if (arg == -1) { + PyObject *freevars = _PyCode_GetFreevars(co); + if (freevars == NULL) { + PyErr_Clear(); + } PyErr_Format(PyExc_SystemError, "compiler_lookup_arg(name=%R) with reftype=%d failed in %S; " "freevars of code %S: %R", @@ -2083,13 +2087,13 @@ compiler_make_closure(struct compiler *c, PyCodeObject *co, Py_ssize_t flags, reftype, c->u->u_name, co->co_name, - co->co_freevars); + freevars); return 0; } ADDOP_I(c, LOAD_CLOSURE, arg); } flags |= 0x08; - ADDOP_I(c, BUILD_TUPLE, free); + ADDOP_I(c, BUILD_TUPLE, co->co_nfreevars); } ADDOP_LOAD_CONST(c, (PyObject*)co); ADDOP_LOAD_CONST(c, qualname); @@ -7225,30 +7229,15 @@ makecode(struct compiler *c, struct assembler *a, PyObject *constslist, PyObject *consts = NULL; PyObject *fastlocalnames = NULL; _PyFastLocalKinds fastlocalkinds; - PyObject *varnames = NULL; PyObject *name = NULL; - PyObject *freevars = NULL; - PyObject *cellvars = NULL; int flags; int posorkeywordargcount, posonlyargcount, kwonlyargcount; names = dict_keys_inorder(c->u->u_names, 0); - varnames = dict_keys_inorder(c->u->u_varnames, 0); - if (!names || !varnames) { + if (!names) { goto error; } - cellvars = dict_keys_inorder(c->u->u_cellvars, 0); - if (!cellvars) - goto error; - freevars = dict_keys_inorder(c->u->u_freevars, PyTuple_GET_SIZE(cellvars)); - if (!freevars) - goto error; - - if (!merge_const_one(c, &names) || - !merge_const_one(c, &varnames) || - !merge_const_one(c, &cellvars) || - !merge_const_one(c, &freevars)) - { + if (!merge_const_one(c, &names)) { goto error; } @@ -7298,11 +7287,9 @@ makecode(struct compiler *c, struct assembler *a, PyObject *constslist, .stacksize = maxdepth, .exceptiontable = a->a_except_table, - - .varnames = varnames, - .cellvars = cellvars, - .freevars = freevars, }; + memcpy(con.fastlocalkinds, fastlocalkinds, nlocalsplus); + if (_PyCode_Validate(&con) < 0) { goto error; } @@ -7317,16 +7304,11 @@ makecode(struct compiler *c, struct assembler *a, PyObject *constslist, goto error; } - memcpy(co->co_fastlocalkinds, fastlocalkinds, nlocalsplus); - error: Py_XDECREF(names); Py_XDECREF(consts); Py_XDECREF(fastlocalnames); - Py_XDECREF(varnames); Py_XDECREF(name); - Py_XDECREF(freevars); - Py_XDECREF(cellvars); return co; } diff --git a/Python/importlib.h b/Python/importlib.h index e504d1bbb15d9d..19fcbdc8405f51 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_bootstrap[] = { 99,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0, - 0,64,0,0,0,115,214,1,0,0,100,0,90,0,100,1, + 0,0,0,0,0,115,214,1,0,0,100,0,90,0,100,1, 100,2,132,0,90,1,100,3,90,2,100,3,90,3,100,3, 90,4,100,3,97,5,100,4,100,5,132,0,90,6,100,6, 100,7,132,0,90,7,105,0,90,8,105,0,90,9,71,0, @@ -53,762 +53,724 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 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, 32,109,111,100,117,108,101,46,10,10,99,1,0,0,0,0, - 0,0,0,0,0,0,0,8,0,0,0,67,0,0,0,115, + 0,0,0,0,0,0,0,8,0,0,0,3,0,0,0,115, 40,0,0,0,9,0,124,0,106,0,83,0,35,0,4,0, 116,1,121,19,1,0,1,0,1,0,116,2,124,0,131,1, 106,0,6,0,89,0,83,0,37,0,119,0,169,1,78,41, 3,218,12,95,95,113,117,97,108,110,97,109,101,95,95,218, 14,65,116,116,114,105,98,117,116,101,69,114,114,111,114,218, - 4,116,121,112,101,169,1,218,3,111,98,106,32,114,4,0, - 0,0,169,0,114,6,0,0,0,250,29,60,102,114,111,122, - 101,110,32,105,109,112,111,114,116,108,105,98,46,95,98,111, - 111,116,115,116,114,97,112,62,218,12,95,111,98,106,101,99, - 116,95,110,97,109,101,23,0,0,0,115,14,0,0,0,2, - 1,6,1,2,128,12,1,14,1,2,128,2,255,115,12,0, - 0,0,129,2,4,0,132,12,18,7,147,1,18,7,114,8, - 0,0,0,78,99,2,0,0,0,0,0,0,0,0,0,0, - 0,7,0,0,0,67,0,0,0,115,56,0,0,0,100,1, - 68,0,93,16,125,2,116,0,124,1,124,2,131,2,114,18, - 116,1,124,0,124,2,116,2,124,1,124,2,131,2,131,3, - 1,0,113,2,124,0,106,3,160,4,124,1,106,3,161,1, - 1,0,100,2,83,0,41,3,122,47,83,105,109,112,108,101, - 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, - 95,119,114,97,112,112,101,114,46,41,4,218,10,95,95,109, - 111,100,117,108,101,95,95,218,8,95,95,110,97,109,101,95, - 95,114,1,0,0,0,218,7,95,95,100,111,99,95,95,78, - 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, - 95,100,105,99,116,95,95,218,6,117,112,100,97,116,101,169, - 3,90,3,110,101,119,90,3,111,108,100,218,7,114,101,112, - 108,97,99,101,32,32,32,114,17,0,0,0,114,6,0,0, - 0,114,6,0,0,0,114,7,0,0,0,218,5,95,119,114, - 97,112,40,0,0,0,115,10,0,0,0,8,2,10,1,18, - 1,2,128,18,1,243,0,0,0,0,114,19,0,0,0,99, - 1,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0, - 67,0,0,0,115,12,0,0,0,116,0,116,1,131,1,124, - 0,131,1,83,0,114,0,0,0,0,41,2,114,3,0,0, - 0,218,3,115,121,115,169,1,218,4,110,97,109,101,32,114, - 22,0,0,0,114,6,0,0,0,114,6,0,0,0,114,7, - 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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, - 99,2,0,0,0,0,0,0,0,0,0,0,0,2,0,0, - 0,67,0,0,0,115,48,0,0,0,116,0,160,1,161,0, - 124,0,95,2,116,0,160,1,161,0,124,0,95,3,124,1, - 124,0,95,4,100,0,124,0,95,5,100,1,124,0,95,6, - 100,1,124,0,95,7,100,0,83,0,169,2,78,233,0,0, - 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, - 99,107,218,6,119,97,107,101,117,112,114,23,0,0,0,218, - 5,111,119,110,101,114,218,5,99,111,117,110,116,218,7,119, - 97,105,116,101,114,115,169,2,218,4,115,101,108,102,114,23, - 0,0,0,32,32,114,35,0,0,0,114,6,0,0,0,114, - 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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, + 0,0,0,0,0,2,0,0,0,3,0,0,0,115,16,0, + 0,0,124,1,124,0,95,0,100,0,124,0,95,1,100,0, + 83,0,114,0,0,0,0,41,2,218,5,95,110,97,109,101, + 218,5,95,108,111,99,107,114,33,0,0,0,32,32,114,5, + 0,0,0,114,35,0,0,0,165,0,0,0,114,57,0,0, + 0,114,17,0,0,0,122,27,95,77,111,100,117,108,101,76, 111,99,107,77,97,110,97,103,101,114,46,95,95,105,110,105, 116,95,95,99,1,0,0,0,0,0,0,0,0,0,0,0, - 2,0,0,0,67,0,0,0,115,26,0,0,0,116,0,124, + 2,0,0,0,3,0,0,0,115,26,0,0,0,116,0,124, 0,106,1,131,1,124,0,95,2,124,0,106,2,160,3,161, 0,1,0,100,0,83,0,114,0,0,0,0,41,4,218,16, 95,103,101,116,95,109,111,100,117,108,101,95,108,111,99,107, - 114,62,0,0,0,114,63,0,0,0,114,47,0,0,0,114, - 56,0,0,0,32,114,56,0,0,0,114,6,0,0,0,114, - 6,0,0,0,114,7,0,0,0,218,9,95,95,101,110,116, - 101,114,95,95,169,0,0,0,115,4,0,0,0,12,1,14, - 1,114,20,0,0,0,122,28,95,77,111,100,117,108,101,76, - 111,99,107,77,97,110,97,103,101,114,46,95,95,101,110,116, - 101,114,95,95,99,1,0,0,0,0,0,0,0,0,0,0, - 0,2,0,0,0,79,0,0,0,115,14,0,0,0,124,0, - 106,0,160,1,161,0,1,0,100,0,83,0,114,0,0,0, - 0,41,2,114,63,0,0,0,114,48,0,0,0,169,3,114, - 36,0,0,0,218,4,97,114,103,115,90,6,107,119,97,114, - 103,115,32,32,32,114,66,0,0,0,114,6,0,0,0,114, - 6,0,0,0,114,7,0,0,0,218,8,95,95,101,120,105, - 116,95,95,173,0,0,0,115,2,0,0,0,14,1,114,20, - 0,0,0,122,27,95,77,111,100,117,108,101,76,111,99,107, - 77,97,110,97,103,101,114,46,95,95,101,120,105,116,95,95, - 78,41,6,114,10,0,0,0,114,9,0,0,0,114,1,0, - 0,0,114,37,0,0,0,114,65,0,0,0,114,68,0,0, - 0,114,6,0,0,0,114,6,0,0,0,114,6,0,0,0, - 114,6,0,0,0,114,7,0,0,0,114,61,0,0,0,163, - 0,0,0,115,8,0,0,0,8,0,8,2,8,4,12,4, - 114,20,0,0,0,114,61,0,0,0,99,1,0,0,0,0, - 0,0,0,0,0,0,0,8,0,0,0,67,0,0,0,115, - 138,0,0,0,116,0,160,1,161,0,1,0,9,0,9,0, - 116,2,124,0,25,0,131,0,125,1,110,12,35,0,4,0, - 116,3,121,68,1,0,1,0,1,0,100,1,125,1,89,0, - 110,1,37,0,124,1,100,1,117,0,114,55,116,4,100,1, - 117,0,114,37,116,5,124,0,131,1,125,1,110,4,116,6, - 124,0,131,1,125,1,124,0,102,1,100,2,100,3,132,1, - 125,2,116,7,160,8,124,1,124,2,161,2,116,2,124,0, - 60,0,116,0,160,9,161,0,1,0,124,1,83,0,35,0, - 116,0,160,9,161,0,1,0,119,0,37,0,119,0,41,4, - 122,139,71,101,116,32,111,114,32,99,114,101,97,116,101,32, - 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, - 108,101,32,110,97,109,101,46,10,10,32,32,32,32,65,99, - 113,117,105,114,101,47,114,101,108,101,97,115,101,32,105,110, - 116,101,114,110,97,108,108,121,32,116,104,101,32,103,108,111, - 98,97,108,32,105,109,112,111,114,116,32,108,111,99,107,32, - 116,111,32,112,114,111,116,101,99,116,10,32,32,32,32,95, - 109,111,100,117,108,101,95,108,111,99,107,115,46,78,99,2, - 0,0,0,0,0,0,0,0,0,0,0,8,0,0,0,83, - 0,0,0,115,56,0,0,0,116,0,160,1,161,0,1,0, - 9,0,116,2,160,3,124,1,161,1,124,0,117,0,114,15, - 116,2,124,1,61,0,116,0,160,4,161,0,1,0,100,0, - 83,0,35,0,116,0,160,4,161,0,1,0,119,0,37,0, - 114,0,0,0,0,41,5,218,4,95,105,109,112,218,12,97, - 99,113,117,105,114,101,95,108,111,99,107,218,13,95,109,111, - 100,117,108,101,95,108,111,99,107,115,114,41,0,0,0,218, - 12,114,101,108,101,97,115,101,95,108,111,99,107,169,2,218, - 3,114,101,102,114,23,0,0,0,32,32,114,73,0,0,0, - 114,6,0,0,0,114,6,0,0,0,114,7,0,0,0,218, - 2,99,98,198,0,0,0,115,16,0,0,0,8,1,2,1, - 14,4,6,1,12,2,2,128,10,0,2,128,115,8,0,0, - 0,133,10,21,0,149,6,27,7,122,28,95,103,101,116,95, - 109,111,100,117,108,101,95,108,111,99,107,46,60,108,111,99, - 97,108,115,62,46,99,98,41,10,114,69,0,0,0,114,70, - 0,0,0,114,71,0,0,0,218,8,75,101,121,69,114,114, - 111,114,114,29,0,0,0,114,59,0,0,0,114,26,0,0, - 0,218,8,95,119,101,97,107,114,101,102,114,74,0,0,0, - 114,72,0,0,0,169,3,114,23,0,0,0,114,30,0,0, - 0,114,75,0,0,0,32,32,32,114,78,0,0,0,114,6, - 0,0,0,114,6,0,0,0,114,7,0,0,0,114,64,0, - 0,0,179,0,0,0,115,40,0,0,0,8,6,2,1,2, - 1,12,1,2,128,12,1,8,1,2,128,8,2,8,1,10, - 1,8,2,12,2,16,11,8,2,4,2,2,128,10,254,2, - 128,2,234,115,26,0,0,0,134,5,12,0,139,1,61,0, - 140,9,23,7,149,34,61,0,189,6,65,3,7,193,4,1, - 23,7,114,64,0,0,0,99,1,0,0,0,0,0,0,0, - 0,0,0,0,8,0,0,0,67,0,0,0,115,56,0,0, - 0,116,0,124,0,131,1,125,1,9,0,124,1,160,1,161, - 0,1,0,110,11,35,0,4,0,116,2,121,27,1,0,1, - 0,1,0,89,0,100,1,83,0,37,0,124,1,160,3,161, - 0,1,0,100,1,83,0,119,0,41,2,122,189,65,99,113, - 117,105,114,101,115,32,116,104,101,110,32,114,101,108,101,97, - 115,101,115,32,116,104,101,32,109,111,100,117,108,101,32,108, - 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, - 32,32,84,104,105,115,32,105,115,32,117,115,101,100,32,116, - 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, - 114,101,97,100,46,10,32,32,32,32,78,41,4,114,64,0, - 0,0,114,47,0,0,0,114,25,0,0,0,114,48,0,0, - 0,169,2,114,23,0,0,0,114,30,0,0,0,32,32,114, - 79,0,0,0,114,6,0,0,0,114,6,0,0,0,114,7, - 0,0,0,218,19,95,108,111,99,107,95,117,110,108,111,99, - 107,95,109,111,100,117,108,101,216,0,0,0,115,18,0,0, - 0,8,6,2,1,10,1,2,128,12,1,6,3,2,128,12, - 2,2,251,115,12,0,0,0,133,4,10,0,138,7,20,7, - 155,1,20,7,114,80,0,0,0,99,1,0,0,0,0,0, - 0,0,0,0,0,0,4,0,0,0,79,0,0,0,115,14, - 0,0,0,124,0,124,1,105,0,124,2,164,1,142,1,83, - 0,41,2,97,46,1,0,0,114,101,109,111,118,101,95,105, - 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, - 41,10,32,32,32,32,78,114,6,0,0,0,169,3,218,1, - 102,114,67,0,0,0,90,4,107,119,100,115,32,32,32,114, - 81,0,0,0,114,6,0,0,0,114,6,0,0,0,114,7, - 0,0,0,218,25,95,99,97,108,108,95,119,105,116,104,95, - 102,114,97,109,101,115,95,114,101,109,111,118,101,100,233,0, - 0,0,115,2,0,0,0,14,8,114,20,0,0,0,114,83, - 0,0,0,114,46,0,0,0,41,1,218,9,118,101,114,98, - 111,115,105,116,121,99,1,0,0,0,0,0,0,0,1,0, - 0,0,4,0,0,0,71,0,0,0,115,58,0,0,0,116, - 0,106,1,106,2,124,1,107,5,114,27,124,0,160,3,100, - 1,161,1,115,15,100,2,124,0,23,0,125,0,116,4,124, - 0,106,5,124,2,142,0,116,0,106,6,100,3,141,2,1, - 0,100,4,83,0,100,4,83,0,41,5,122,61,80,114,105, - 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, - 116,117,114,110,101,100,32,111,110,46,41,2,250,1,35,122, - 7,105,109,112,111,114,116,32,122,2,35,32,41,1,90,4, - 102,105,108,101,78,41,7,114,21,0,0,0,218,5,102,108, - 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0,0,0,124,0,106,0,100,1,117,0,114,13,124,0,106, + 1,160,2,100,2,161,1,100,3,25,0,83,0,124,0,106, + 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, + 112,97,114,101,110,116,46,78,218,1,46,114,26,0,0,0, + 41,3,114,129,0,0,0,114,20,0,0,0,218,10,114,112, + 97,114,116,105,116,105,111,110,114,53,0,0,0,32,114,5, + 0,0,0,218,6,112,97,114,101,110,116,148,1,0,0,115, + 6,0,0,0,10,3,16,1,6,2,114,17,0,0,0,122, + 17,77,111,100,117,108,101,83,112,101,99,46,112,97,114,101, + 110,116,99,1,0,0,0,0,0,0,0,0,0,0,0,1, + 0,0,0,3,0,0,0,115,6,0,0,0,124,0,106,0, + 83,0,114,0,0,0,0,41,1,114,130,0,0,0,114,53, + 0,0,0,32,114,5,0,0,0,114,136,0,0,0,156,1, + 0,0,115,2,0,0,0,6,2,114,17,0,0,0,122,23, + 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, + 0,0,0,0,2,0,0,0,3,0,0,0,115,14,0,0, + 0,116,0,124,1,131,1,124,0,95,1,100,0,83,0,114, + 0,0,0,0,41,2,218,4,98,111,111,108,114,130,0,0, + 0,41,2,114,34,0,0,0,218,5,118,97,108,117,101,32, + 32,114,5,0,0,0,114,136,0,0,0,160,1,0,0,115, + 2,0,0,0,14,2,114,17,0,0,0,41,12,114,8,0, + 0,0,114,7,0,0,0,114,1,0,0,0,114,9,0,0, + 0,114,35,0,0,0,114,54,0,0,0,114,138,0,0,0, + 218,8,112,114,111,112,101,114,116,121,114,135,0,0,0,218, + 6,115,101,116,116,101,114,114,143,0,0,0,114,136,0,0, + 0,114,23,0,0,0,114,5,0,0,0,114,125,0,0,0, 64,1,0,0,115,34,0,0,0,8,0,4,1,4,36,2, 1,12,255,8,12,8,10,2,12,10,1,4,8,10,1,2, - 3,10,1,2,7,10,1,4,3,14,1,114,20,0,0,0, - 114,138,0,0,0,169,2,114,139,0,0,0,114,141,0,0, + 3,10,1,2,7,10,1,4,3,14,1,114,17,0,0,0, + 114,125,0,0,0,169,2,114,126,0,0,0,114,128,0,0, 0,99,2,0,0,0,0,0,0,0,2,0,0,0,8,0, - 0,0,67,0,0,0,115,152,0,0,0,116,0,124,1,100, + 0,0,3,0,0,0,115,152,0,0,0,116,0,124,1,100, 1,131,2,114,37,116,1,100,2,117,0,114,11,116,2,130, 1,116,1,106,3,125,4,124,3,100,2,117,0,114,24,124, 4,124,0,124,1,100,3,141,2,83,0,124,3,114,28,103, @@ -822,703 +784,673 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 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, - 116,95,102,105,108,101,110,97,109,101,78,41,1,114,135,0, - 0,0,41,2,114,135,0,0,0,114,142,0,0,0,114,141, - 0,0,0,70,114,166,0,0,0,41,7,114,12,0,0,0, - 114,155,0,0,0,114,156,0,0,0,218,23,115,112,101,99, + 116,95,102,105,108,101,110,97,109,101,78,41,1,114,122,0, + 0,0,41,2,114,122,0,0,0,114,129,0,0,0,114,128, + 0,0,0,70,114,148,0,0,0,41,7,114,10,0,0,0, + 114,139,0,0,0,114,140,0,0,0,218,23,115,112,101,99, 95,102,114,111,109,95,102,105,108,101,95,108,111,99,97,116, - 105,111,110,114,141,0,0,0,114,97,0,0,0,114,138,0, - 0,0,169,6,114,23,0,0,0,114,135,0,0,0,114,139, - 0,0,0,114,141,0,0,0,114,167,0,0,0,90,6,115, - 101,97,114,99,104,32,32,32,32,32,32,114,168,0,0,0, - 114,6,0,0,0,114,6,0,0,0,114,7,0,0,0,114, - 115,0,0,0,165,1,0,0,115,42,0,0,0,10,2,8, - 1,4,1,6,1,8,2,12,1,12,1,6,1,2,1,6, - 255,8,3,10,1,2,1,12,1,2,128,12,1,8,1,2, - 128,4,3,16,2,2,250,115,15,0,0,0,175,5,53,0, - 181,9,65,0,7,193,11,1,65,0,7,114,115,0,0,0, - 99,3,0,0,0,0,0,0,0,0,0,0,0,8,0,0, - 0,67,0,0,0,115,50,1,0,0,9,0,124,0,106,0, - 125,3,110,10,35,0,4,0,116,1,121,152,1,0,1,0, - 1,0,89,0,110,7,37,0,124,3,100,0,117,1,114,21, - 124,3,83,0,124,0,106,2,125,4,124,1,100,0,117,0, - 114,43,9,0,124,0,106,3,125,1,110,10,35,0,4,0, - 116,1,121,151,1,0,1,0,1,0,89,0,110,1,37,0, - 9,0,124,0,106,4,125,5,110,12,35,0,4,0,116,1, - 121,150,1,0,1,0,1,0,100,0,125,5,89,0,110,1, - 37,0,124,2,100,0,117,0,114,87,124,5,100,0,117,0, - 114,85,9,0,124,1,106,5,125,2,110,14,35,0,4,0, - 116,1,121,149,1,0,1,0,1,0,100,0,125,2,89,0, - 110,3,37,0,124,5,125,2,9,0,124,0,106,6,125,6, - 110,12,35,0,4,0,116,1,121,148,1,0,1,0,1,0, - 100,0,125,6,89,0,110,1,37,0,9,0,116,7,124,0, - 106,8,131,1,125,7,110,12,35,0,4,0,116,1,121,147, - 1,0,1,0,1,0,100,0,125,7,89,0,110,1,37,0, - 116,9,124,4,124,1,124,2,100,1,141,3,125,3,124,5, - 100,0,117,0,114,136,100,2,110,1,100,3,124,3,95,10, - 124,6,124,3,95,11,124,7,124,3,95,12,124,3,83,0, - 119,0,119,0,119,0,119,0,119,0,119,0,41,4,78,169, - 1,114,139,0,0,0,70,84,41,13,114,125,0,0,0,114, - 2,0,0,0,114,10,0,0,0,114,124,0,0,0,114,133, - 0,0,0,218,7,95,79,82,73,71,73,78,218,10,95,95, - 99,97,99,104,101,100,95,95,218,4,108,105,115,116,218,8, - 95,95,112,97,116,104,95,95,114,138,0,0,0,114,143,0, - 0,0,114,150,0,0,0,114,142,0,0,0,169,8,114,122, - 0,0,0,114,135,0,0,0,114,139,0,0,0,114,121,0, - 0,0,114,23,0,0,0,90,8,108,111,99,97,116,105,111, - 110,114,150,0,0,0,114,142,0,0,0,32,32,32,32,32, - 32,32,32,114,174,0,0,0,114,6,0,0,0,114,6,0, - 0,0,114,7,0,0,0,218,17,95,115,112,101,99,95,102, - 114,111,109,95,109,111,100,117,108,101,191,1,0,0,115,108, - 0,0,0,2,2,8,1,2,128,12,1,4,1,2,128,8, - 2,4,1,6,2,8,1,2,1,8,1,2,128,12,1,4, - 2,2,128,2,1,8,1,2,128,12,1,8,1,2,128,8, - 1,8,1,2,1,8,1,2,128,12,1,8,1,2,128,4, - 2,2,1,8,1,2,128,12,1,8,1,2,128,2,1,12, - 1,2,128,12,1,8,1,2,128,14,2,18,1,6,1,6, - 1,4,1,2,249,2,252,2,250,2,250,2,251,2,246,115, - 93,0,0,0,129,3,5,0,133,7,14,7,157,3,33,0, - 161,7,42,7,172,3,48,0,176,9,59,7,193,5,3,65, - 9,0,193,9,9,65,20,7,193,24,3,65,28,0,193,28, - 9,65,39,7,193,41,5,65,47,0,193,47,9,65,58,7, - 194,19,1,65,58,7,194,20,1,65,39,7,194,21,1,65, - 20,7,194,22,1,59,7,194,23,1,42,7,194,24,1,14, - 7,114,175,0,0,0,70,169,1,218,8,111,118,101,114,114, - 105,100,101,99,2,0,0,0,0,0,0,0,1,0,0,0, - 8,0,0,0,67,0,0,0,115,204,1,0,0,124,2,115, - 10,116,0,124,1,100,1,100,0,131,3,100,0,117,0,114, - 26,9,0,124,0,106,1,124,1,95,2,110,10,35,0,4, - 0,116,3,121,229,1,0,1,0,1,0,89,0,110,1,37, - 0,124,2,115,36,116,0,124,1,100,2,100,0,131,3,100, - 0,117,0,114,87,124,0,106,4,125,3,124,3,100,0,117, - 0,114,72,124,0,106,5,100,0,117,1,114,72,116,6,100, - 0,117,0,114,54,116,7,130,1,116,6,106,8,125,4,124, - 4,160,9,124,4,161,1,125,3,124,0,106,5,124,3,95, - 10,124,3,124,0,95,4,100,0,124,1,95,11,9,0,124, - 3,124,1,95,12,110,10,35,0,4,0,116,3,121,228,1, - 0,1,0,1,0,89,0,110,1,37,0,124,2,115,97,116, - 0,124,1,100,3,100,0,131,3,100,0,117,0,114,113,9, - 0,124,0,106,13,124,1,95,14,110,10,35,0,4,0,116, - 3,121,227,1,0,1,0,1,0,89,0,110,1,37,0,9, - 0,124,0,124,1,95,15,110,10,35,0,4,0,116,3,121, - 226,1,0,1,0,1,0,89,0,110,1,37,0,124,2,115, - 138,116,0,124,1,100,4,100,0,131,3,100,0,117,0,114, - 159,124,0,106,5,100,0,117,1,114,159,9,0,124,0,106, - 5,124,1,95,16,110,10,35,0,4,0,116,3,121,225,1, - 0,1,0,1,0,89,0,110,1,37,0,124,0,106,17,114, - 221,124,2,115,172,116,0,124,1,100,5,100,0,131,3,100, - 0,117,0,114,188,9,0,124,0,106,18,124,1,95,11,110, - 10,35,0,4,0,116,3,121,224,1,0,1,0,1,0,89, - 0,110,1,37,0,124,2,115,198,116,0,124,1,100,6,100, - 0,131,3,100,0,117,0,114,221,124,0,106,19,100,0,117, - 1,114,221,9,0,124,0,106,19,124,1,95,20,124,1,83, - 0,35,0,4,0,116,3,121,223,1,0,1,0,1,0,89, - 0,124,1,83,0,37,0,124,1,83,0,119,0,119,0,119, - 0,119,0,119,0,119,0,119,0,41,7,78,114,10,0,0, - 0,114,124,0,0,0,218,11,95,95,112,97,99,107,97,103, - 101,95,95,114,173,0,0,0,114,133,0,0,0,114,171,0, - 0,0,41,21,114,14,0,0,0,114,23,0,0,0,114,10, - 0,0,0,114,2,0,0,0,114,135,0,0,0,114,142,0, - 0,0,114,155,0,0,0,114,156,0,0,0,218,16,95,78, - 97,109,101,115,112,97,99,101,76,111,97,100,101,114,218,7, - 95,95,110,101,119,95,95,90,5,95,112,97,116,104,114,133, - 0,0,0,114,124,0,0,0,114,160,0,0,0,114,178,0, - 0,0,114,125,0,0,0,114,173,0,0,0,114,151,0,0, - 0,114,139,0,0,0,114,150,0,0,0,114,171,0,0,0, - 169,5,114,121,0,0,0,114,122,0,0,0,114,177,0,0, - 0,114,135,0,0,0,114,179,0,0,0,32,32,32,32,32, - 114,181,0,0,0,114,6,0,0,0,114,6,0,0,0,114, - 7,0,0,0,218,18,95,105,110,105,116,95,109,111,100,117, - 108,101,95,97,116,116,114,115,236,1,0,0,115,142,0,0, - 0,20,4,2,1,10,1,2,128,12,1,4,1,2,128,20, - 2,6,1,8,1,10,2,8,1,4,1,6,1,10,2,8, - 1,6,1,6,11,2,1,8,1,2,128,12,1,4,1,2, - 128,20,2,2,1,10,1,2,128,12,1,4,1,2,128,2, - 2,8,1,2,128,12,1,4,1,2,128,20,2,10,1,2, - 1,10,1,2,128,12,1,4,1,2,128,6,2,20,1,2, - 1,10,1,2,128,12,1,4,1,2,128,20,2,10,1,2, - 1,8,1,4,3,2,128,12,254,2,1,4,1,2,128,4, - 0,2,254,2,249,2,249,2,249,2,251,2,250,2,228,115, - 121,0,0,0,139,4,16,0,144,7,25,7,193,9,3,65, - 13,0,193,13,7,65,22,7,193,34,4,65,39,0,193,39, - 7,65,48,7,193,50,3,65,54,0,193,54,7,65,63,7, - 194,16,4,66,21,0,194,21,7,66,30,7,194,45,4,66, - 50,0,194,50,7,66,59,7,195,12,4,67,18,0,195,18, - 7,67,28,7,195,31,1,67,28,7,195,32,1,66,59,7, - 195,33,1,66,30,7,195,34,1,65,63,7,195,35,1,65, - 48,7,195,36,1,65,22,7,195,37,1,25,7,114,182,0, - 0,0,99,1,0,0,0,0,0,0,0,0,0,0,0,3, - 0,0,0,67,0,0,0,115,82,0,0,0,100,1,125,1, - 116,0,124,0,106,1,100,2,131,2,114,15,124,0,106,1, - 160,2,124,0,161,1,125,1,110,10,116,0,124,0,106,1, - 100,3,131,2,114,25,116,3,100,4,131,1,130,1,124,1, - 100,1,117,0,114,34,116,4,124,0,106,5,131,1,125,1, - 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, - 114,12,0,0,0,114,135,0,0,0,114,183,0,0,0,114, - 97,0,0,0,114,24,0,0,0,114,23,0,0,0,114,182, - 0,0,0,169,2,114,121,0,0,0,114,122,0,0,0,32, - 32,114,185,0,0,0,114,6,0,0,0,114,6,0,0,0, - 114,7,0,0,0,218,16,109,111,100,117,108,101,95,102,114, - 111,109,95,115,112,101,99,52,2,0,0,115,18,0,0,0, - 4,3,12,1,14,3,12,1,8,1,8,2,10,1,10,1, - 4,1,114,20,0,0,0,114,186,0,0,0,99,1,0,0, - 0,0,0,0,0,0,0,0,0,4,0,0,0,67,0,0, - 0,115,100,0,0,0,124,0,106,0,100,1,117,0,114,7, - 100,2,110,2,124,0,106,0,125,1,124,0,106,1,100,1, - 117,0,114,32,124,0,106,2,100,1,117,0,114,25,100,3, - 160,3,124,1,161,1,83,0,100,4,160,3,124,1,124,0, - 106,2,161,2,83,0,124,0,106,4,114,42,100,5,160,3, - 124,1,124,0,106,1,161,2,83,0,100,6,160,3,124,0, - 106,0,124,0,106,1,161,2,83,0,41,7,122,38,82,101, - 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, - 117,108,101,46,78,114,127,0,0,0,114,128,0,0,0,114, - 129,0,0,0,114,130,0,0,0,250,18,60,109,111,100,117, - 108,101,32,123,33,114,125,32,40,123,125,41,62,41,5,114, - 23,0,0,0,114,139,0,0,0,114,135,0,0,0,114,54, - 0,0,0,114,151,0,0,0,169,2,114,121,0,0,0,114, - 23,0,0,0,32,32,114,188,0,0,0,114,6,0,0,0, - 114,6,0,0,0,114,7,0,0,0,114,131,0,0,0,69, - 2,0,0,115,16,0,0,0,20,3,10,1,10,1,10,1, - 14,2,6,2,14,1,16,2,114,20,0,0,0,114,131,0, - 0,0,99,2,0,0,0,0,0,0,0,0,0,0,0,10, - 0,0,0,67,0,0,0,115,32,1,0,0,124,0,106,0, - 125,2,116,1,124,2,131,1,53,0,1,0,116,2,106,3, - 160,4,124,2,161,1,124,1,117,1,114,27,100,1,160,5, - 124,2,161,1,125,3,116,6,124,3,124,2,100,2,141,2, - 130,1,9,0,124,0,106,7,100,3,117,0,114,53,124,0, - 106,8,100,3,117,0,114,45,116,6,100,4,124,0,106,0, - 100,2,141,2,130,1,116,9,124,0,124,1,100,5,100,6, - 141,3,1,0,110,40,116,9,124,0,124,1,100,5,100,6, - 141,3,1,0,116,10,124,0,106,7,100,7,131,2,115,87, - 116,11,124,0,106,7,131,1,155,0,100,8,157,2,125,3, - 116,12,160,13,124,3,116,14,161,2,1,0,124,0,106,7, - 160,15,124,2,161,1,1,0,110,6,124,0,106,7,160,16, - 124,1,161,1,1,0,116,2,106,3,160,17,124,0,106,0, - 161,1,125,1,124,1,116,2,106,3,124,0,106,0,60,0, - 110,16,35,0,116,2,106,3,160,17,124,0,106,0,161,1, - 125,1,124,1,116,2,106,3,124,0,106,0,60,0,119,0, - 37,0,9,0,100,3,4,0,4,0,131,3,1,0,124,1, - 83,0,35,0,49,0,115,136,119,4,37,0,1,0,1,0, - 1,0,89,0,1,0,1,0,124,1,83,0,41,9,122,70, - 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, - 111,100,117,108,101,115,114,22,0,0,0,78,250,14,109,105, - 115,115,105,110,103,32,108,111,97,100,101,114,84,114,176,0, - 0,0,114,184,0,0,0,250,55,46,101,120,101,99,95,109, - 111,100,117,108,101,40,41,32,110,111,116,32,102,111,117,110, - 100,59,32,102,97,108,108,105,110,103,32,98,97,99,107,32, - 116,111,32,108,111,97,100,95,109,111,100,117,108,101,40,41, - 41,18,114,23,0,0,0,114,61,0,0,0,114,21,0,0, - 0,114,116,0,0,0,114,41,0,0,0,114,54,0,0,0, - 114,97,0,0,0,114,135,0,0,0,114,142,0,0,0,114, - 182,0,0,0,114,12,0,0,0,114,8,0,0,0,114,112, - 0,0,0,114,113,0,0,0,218,13,73,109,112,111,114,116, - 87,97,114,110,105,110,103,218,11,108,111,97,100,95,109,111, - 100,117,108,101,114,184,0,0,0,218,3,112,111,112,169,4, - 114,121,0,0,0,114,122,0,0,0,114,23,0,0,0,114, - 120,0,0,0,32,32,32,32,114,194,0,0,0,114,6,0, - 0,0,114,6,0,0,0,114,7,0,0,0,114,117,0,0, - 0,86,2,0,0,115,50,0,0,0,6,2,10,1,16,1, - 10,1,12,1,2,1,10,1,10,1,14,1,16,2,14,2, - 12,1,16,1,12,2,14,1,12,2,14,4,14,1,2,128, - 14,255,18,1,10,233,4,24,22,128,4,0,115,41,0,0, - 0,135,20,66,3,3,156,65,1,65,43,2,193,29,14,66, - 3,3,193,43,15,65,58,9,193,58,1,66,3,3,194,3, - 4,66,7,11,194,8,3,66,7,11,114,117,0,0,0,99, - 1,0,0,0,0,0,0,0,0,0,0,0,8,0,0,0, - 67,0,0,0,115,22,1,0,0,9,0,124,0,106,0,160, - 1,124,0,106,2,161,1,1,0,110,25,35,0,1,0,1, - 0,1,0,124,0,106,2,116,3,106,4,118,0,114,32,116, - 3,106,4,160,5,124,0,106,2,161,1,125,1,124,1,116, - 3,106,4,124,0,106,2,60,0,130,0,37,0,116,3,106, - 4,160,5,124,0,106,2,161,1,125,1,124,1,116,3,106, - 4,124,0,106,2,60,0,116,6,124,1,100,1,100,0,131, - 3,100,0,117,0,114,71,9,0,124,0,106,0,124,1,95, - 7,110,10,35,0,4,0,116,8,121,138,1,0,1,0,1, - 0,89,0,110,1,37,0,116,6,124,1,100,2,100,0,131, - 3,100,0,117,0,114,109,9,0,124,1,106,9,124,1,95, - 10,116,11,124,1,100,3,131,2,115,98,124,0,106,2,160, - 12,100,4,161,1,100,5,25,0,124,1,95,10,110,10,35, - 0,4,0,116,8,121,137,1,0,1,0,1,0,89,0,110, - 1,37,0,116,6,124,1,100,6,100,0,131,3,100,0,117, - 0,114,134,9,0,124,0,124,1,95,13,124,1,83,0,35, - 0,4,0,116,8,121,136,1,0,1,0,1,0,89,0,124, - 1,83,0,37,0,124,1,83,0,119,0,119,0,119,0,41, - 7,78,114,124,0,0,0,114,178,0,0,0,114,173,0,0, - 0,114,158,0,0,0,114,28,0,0,0,114,125,0,0,0, - 41,14,114,135,0,0,0,114,192,0,0,0,114,23,0,0, - 0,114,21,0,0,0,114,116,0,0,0,114,193,0,0,0, - 114,14,0,0,0,114,124,0,0,0,114,2,0,0,0,114, - 10,0,0,0,114,178,0,0,0,114,12,0,0,0,114,159, - 0,0,0,114,125,0,0,0,114,185,0,0,0,32,32,114, - 185,0,0,0,114,6,0,0,0,114,6,0,0,0,114,7, - 0,0,0,218,25,95,108,111,97,100,95,98,97,99,107,119, - 97,114,100,95,99,111,109,112,97,116,105,98,108,101,116,2, - 0,0,115,80,0,0,0,2,3,16,1,2,128,6,1,12, - 1,14,1,12,1,2,1,2,128,14,3,12,1,16,1,2, - 1,10,1,2,128,12,1,4,1,2,128,16,1,2,1,8, - 4,10,1,18,1,4,128,12,1,4,1,2,128,16,1,2, - 1,6,1,4,3,2,128,12,254,2,1,4,1,2,128,4, - 0,2,254,2,251,2,246,115,59,0,0,0,129,7,9,0, - 137,24,33,7,184,4,61,0,189,7,65,6,7,193,16,18, - 65,35,0,193,35,7,65,44,7,193,54,3,65,59,0,193, - 59,7,66,5,7,194,8,1,66,5,7,194,9,1,65,44, - 7,194,10,1,65,6,7,114,195,0,0,0,99,1,0,0, - 0,0,0,0,0,0,0,0,0,11,0,0,0,67,0,0, - 0,115,248,0,0,0,124,0,106,0,100,0,117,1,114,29, - 116,1,124,0,106,0,100,1,131,2,115,29,116,2,124,0, - 106,0,131,1,155,0,100,2,157,2,125,1,116,3,160,4, - 124,1,116,5,161,2,1,0,116,6,124,0,131,1,83,0, - 116,7,124,0,131,1,125,2,100,3,124,0,95,8,9,0, - 124,2,116,9,106,10,124,0,106,11,60,0,9,0,124,0, - 106,0,100,0,117,0,114,62,124,0,106,12,100,0,117,0, - 114,61,116,13,100,4,124,0,106,11,100,5,141,2,130,1, - 110,6,124,0,106,0,160,14,124,2,161,1,1,0,110,22, - 35,0,1,0,1,0,1,0,9,0,116,9,106,10,124,0, - 106,11,61,0,130,0,35,0,4,0,116,15,121,123,1,0, - 1,0,1,0,89,0,130,0,37,0,37,0,116,9,106,10, - 160,16,124,0,106,11,161,1,125,2,124,2,116,9,106,10, - 124,0,106,11,60,0,116,17,100,6,124,0,106,11,124,0, - 106,0,131,3,1,0,100,7,124,0,95,8,124,2,83,0, - 35,0,100,7,124,0,95,8,119,0,37,0,119,0,41,8, - 78,114,184,0,0,0,114,190,0,0,0,84,114,189,0,0, - 0,114,22,0,0,0,122,18,105,109,112,111,114,116,32,123, - 33,114,125,32,35,32,123,33,114,125,70,41,18,114,135,0, - 0,0,114,12,0,0,0,114,8,0,0,0,114,112,0,0, - 0,114,113,0,0,0,114,191,0,0,0,114,195,0,0,0, - 114,186,0,0,0,90,13,95,105,110,105,116,105,97,108,105, - 122,105,110,103,114,21,0,0,0,114,116,0,0,0,114,23, - 0,0,0,114,142,0,0,0,114,97,0,0,0,114,184,0, - 0,0,114,76,0,0,0,114,193,0,0,0,114,93,0,0, - 0,169,3,114,121,0,0,0,114,120,0,0,0,114,122,0, - 0,0,32,32,32,114,196,0,0,0,114,6,0,0,0,114, - 6,0,0,0,114,7,0,0,0,218,14,95,108,111,97,100, - 95,117,110,108,111,99,107,101,100,152,2,0,0,115,66,0, - 0,0,10,2,12,2,16,1,12,2,8,1,8,2,6,5, - 2,1,12,1,2,1,10,1,10,1,14,1,2,255,12,4, - 4,128,6,1,2,1,10,1,2,3,2,128,12,254,2,1, - 2,1,4,128,14,5,12,1,16,1,6,2,4,2,2,128, - 10,254,2,245,115,64,0,0,0,165,6,65,53,0,172,24, - 65,5,0,193,4,1,65,53,0,193,5,4,65,26,7,193, - 10,5,65,16,6,193,15,1,65,26,7,193,16,7,65,25, - 13,193,23,3,65,26,7,193,26,22,65,53,0,193,53,5, - 65,58,7,193,59,1,65,25,13,114,197,0,0,0,99,1, - 0,0,0,0,0,0,0,0,0,0,0,9,0,0,0,67, - 0,0,0,115,58,0,0,0,116,0,124,0,106,1,131,1, - 53,0,1,0,116,2,124,0,131,1,2,0,100,1,4,0, - 4,0,131,3,1,0,83,0,35,0,49,0,115,21,119,4, - 37,0,1,0,1,0,1,0,89,0,1,0,1,0,100,1, - 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, - 10,32,32,32,32,78,41,3,114,61,0,0,0,114,23,0, - 0,0,114,197,0,0,0,169,1,114,121,0,0,0,32,114, - 198,0,0,0,114,6,0,0,0,114,6,0,0,0,114,7, - 0,0,0,114,118,0,0,0,197,2,0,0,115,10,0,0, - 0,12,9,6,1,14,255,22,128,4,0,115,12,0,0,0, - 133,4,16,3,144,4,20,11,149,3,20,11,114,118,0,0, - 0,99,0,0,0,0,0,0,0,0,0,0,0,0,4,0, - 0,0,64,0,0,0,115,140,0,0,0,101,0,90,1,100, - 0,90,2,100,1,90,3,100,2,90,4,101,5,100,3,100, - 4,132,0,131,1,90,6,101,7,100,20,100,6,100,7,132, - 1,131,1,90,8,101,7,100,21,100,8,100,9,132,1,131, - 1,90,9,101,5,100,10,100,11,132,0,131,1,90,10,101, - 5,100,12,100,13,132,0,131,1,90,11,101,7,101,12,100, - 14,100,15,132,0,131,1,131,1,90,13,101,7,101,12,100, - 16,100,17,132,0,131,1,131,1,90,14,101,7,101,12,100, - 18,100,19,132,0,131,1,131,1,90,15,101,7,101,16,131, - 1,90,17,100,5,83,0,41,22,218,15,66,117,105,108,116, - 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, - 99,108,97,115,115,46,10,10,32,32,32,32,122,8,98,117, - 105,108,116,45,105,110,99,1,0,0,0,0,0,0,0,0, - 0,0,0,5,0,0,0,67,0,0,0,115,34,0,0,0, - 116,0,160,1,100,1,116,2,161,2,1,0,100,2,124,0, - 106,3,155,2,100,3,116,4,106,5,155,0,100,4,157,5, - 83,0,41,6,250,115,82,101,116,117,114,110,32,114,101,112, - 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, - 10,32,32,32,32,32,32,32,32,122,81,66,117,105,108,116, - 105,110,73,109,112,111,114,116,101,114,46,109,111,100,117,108, - 101,95,114,101,112,114,40,41,32,105,115,32,100,101,112,114, - 101,99,97,116,101,100,32,97,110,100,32,115,108,97,116,101, - 100,32,102,111,114,32,114,101,109,111,118,97,108,32,105,110, - 32,80,121,116,104,111,110,32,51,46,49,50,122,8,60,109, - 111,100,117,108,101,32,122,2,32,40,122,2,41,62,78,41, - 6,114,112,0,0,0,114,113,0,0,0,114,114,0,0,0, - 114,10,0,0,0,114,199,0,0,0,114,170,0,0,0,169, - 1,114,122,0,0,0,32,114,201,0,0,0,114,6,0,0, - 0,114,6,0,0,0,114,7,0,0,0,114,126,0,0,0, - 223,2,0,0,115,8,0,0,0,6,7,2,1,4,255,22, - 2,114,20,0,0,0,122,27,66,117,105,108,116,105,110,73, - 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0,41,3,122,175,70,105,110,100,32,116,104,101,32,98,117, - 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, - 32,32,32,32,122,106,66,117,105,108,116,105,110,73,109,112, - 111,114,116,101,114,46,102,105,110,100,95,109,111,100,117,108, - 101,40,41,32,105,115,32,100,101,112,114,101,99,97,116,101, - 100,32,97,110,100,32,115,108,97,116,101,100,32,102,111,114, - 32,114,101,109,111,118,97,108,32,105,110,32,80,121,116,104, - 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97,100,46,10,10,32,32,32,32,32,32,32,32,122,105,70, + 114,111,122,101,110,73,109,112,111,114,116,101,114,46,102,105, + 110,100,95,109,111,100,117,108,101,40,41,32,105,115,32,100, + 101,112,114,101,99,97,116,101,100,32,97,110,100,32,115,108, + 97,116,101,100,32,102,111,114,32,114,101,109,111,118,97,108, + 32,105,110,32,80,121,116,104,111,110,32,51,46,49,50,59, + 32,117,115,101,32,102,105,110,100,95,115,112,101,99,40,41, + 32,105,110,115,116,101,97,100,78,41,5,114,101,0,0,0, + 114,102,0,0,0,114,103,0,0,0,114,65,0,0,0,114, + 98,0,0,0,41,3,114,180,0,0,0,114,90,0,0,0, + 114,181,0,0,0,32,32,32,114,5,0,0,0,114,184,0, + 0,0,65,3,0,0,115,8,0,0,0,6,7,2,2,4, + 254,18,3,114,17,0,0,0,122,26,70,114,111,122,101,110, + 73,109,112,111,114,116,101,114,46,102,105,110,100,95,109,111, + 100,117,108,101,99,1,0,0,0,0,0,0,0,0,0,0, + 0,1,0,0,0,3,0,0,0,114,185,0,0,0,41,2, + 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, + 108,101,32,99,114,101,97,116,105,111,110,46,78,114,23,0, + 0,0,114,174,0,0,0,32,114,5,0,0,0,114,162,0, + 0,0,77,3,0,0,115,2,0,0,0,4,0,114,17,0, + 0,0,122,28,70,114,111,122,101,110,73,109,112,111,114,116, + 101,114,46,99,114,101,97,116,101,95,109,111,100,117,108,101, + 99,1,0,0,0,0,0,0,0,0,0,0,0,4,0,0, + 0,3,0,0,0,115,64,0,0,0,124,0,106,0,106,1, + 125,1,116,2,160,3,124,1,161,1,115,18,116,4,100,1, + 160,5,124,1,161,1,124,1,100,2,141,2,130,1,116,6, + 116,2,106,7,124,1,131,2,125,2,116,8,124,2,124,0, + 106,9,131,2,1,0,100,0,83,0,114,97,0,0,0,41, + 10,114,113,0,0,0,114,20,0,0,0,114,65,0,0,0, + 114,98,0,0,0,114,88,0,0,0,114,51,0,0,0,114, + 75,0,0,0,218,17,103,101,116,95,102,114,111,122,101,110, + 95,111,98,106,101,99,116,218,4,101,120,101,99,114,13,0, + 0,0,41,3,114,110,0,0,0,114,20,0,0,0,218,4, + 99,111,100,101,32,32,32,114,5,0,0,0,114,163,0,0, + 0,81,3,0,0,115,14,0,0,0,8,2,10,1,10,1, + 2,1,6,255,12,2,16,1,114,17,0,0,0,122,26,70, + 114,111,122,101,110,73,109,112,111,114,116,101,114,46,101,120, + 101,99,95,109,111,100,117,108,101,99,2,0,0,0,0,0, + 0,0,0,0,0,0,3,0,0,0,3,0,0,0,115,10, + 0,0,0,116,0,124,0,124,1,131,2,83,0,41,2,122, + 95,76,111,97,100,32,97,32,102,114,111,122,101,110,32,109, + 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, + 78,41,1,114,111,0,0,0,114,186,0,0,0,32,32,114, + 5,0,0,0,114,170,0,0,0,90,3,0,0,115,2,0, + 0,0,10,8,114,17,0,0,0,122,26,70,114,111,122,101, + 110,73,109,112,111,114,116,101,114,46,108,111,97,100,95,109, + 111,100,117,108,101,99,2,0,0,0,0,0,0,0,0,0, + 0,0,3,0,0,0,3,0,0,0,243,10,0,0,0,116, + 0,160,1,124,1,161,1,83,0,41,2,122,45,82,101,116, + 117,114,110,32,116,104,101,32,99,111,100,101,32,111,98,106, + 101,99,116,32,102,111,114,32,116,104,101,32,102,114,111,122, + 101,110,32,109,111,100,117,108,101,46,78,41,2,114,65,0, + 0,0,114,195,0,0,0,114,186,0,0,0,32,32,114,5, + 0,0,0,114,187,0,0,0,100,3,0,0,243,2,0,0, + 0,10,4,114,17,0,0,0,122,23,70,114,111,122,101,110, + 73,109,112,111,114,116,101,114,46,103,101,116,95,99,111,100, + 101,99,2,0,0,0,0,0,0,0,0,0,0,0,1,0, + 0,0,3,0,0,0,114,185,0,0,0,41,2,122,54,82, + 101,116,117,114,110,32,78,111,110,101,32,97,115,32,102,114, + 111,122,101,110,32,109,111,100,117,108,101,115,32,100,111,32, + 110,111,116,32,104,97,118,101,32,115,111,117,114,99,101,32, + 99,111,100,101,46,78,114,23,0,0,0,114,186,0,0,0, + 32,32,114,5,0,0,0,114,189,0,0,0,106,3,0,0, + 114,188,0,0,0,114,17,0,0,0,122,25,70,114,111,122, + 101,110,73,109,112,111,114,116,101,114,46,103,101,116,95,115, + 111,117,114,99,101,99,2,0,0,0,0,0,0,0,0,0, + 0,0,3,0,0,0,3,0,0,0,114,198,0,0,0,41, + 2,122,46,82,101,116,117,114,110,32,84,114,117,101,32,105, + 102,32,116,104,101,32,102,114,111,122,101,110,32,109,111,100, + 117,108,101,32,105,115,32,97,32,112,97,99,107,97,103,101, + 46,78,41,2,114,65,0,0,0,90,17,105,115,95,102,114, + 111,122,101,110,95,112,97,99,107,97,103,101,114,186,0,0, + 0,32,32,114,5,0,0,0,114,128,0,0,0,112,3,0, + 0,114,199,0,0,0,114,17,0,0,0,122,25,70,114,111, + 122,101,110,73,109,112,111,114,116,101,114,46,105,115,95,112, + 97,99,107,97,103,101,114,190,0,0,0,114,0,0,0,0, + 41,17,114,8,0,0,0,114,7,0,0,0,114,1,0,0, + 0,114,9,0,0,0,114,151,0,0,0,114,191,0,0,0, + 114,114,0,0,0,114,192,0,0,0,114,183,0,0,0,114, + 184,0,0,0,114,162,0,0,0,114,163,0,0,0,114,170, + 0,0,0,114,100,0,0,0,114,187,0,0,0,114,189,0, + 0,0,114,128,0,0,0,114,23,0,0,0,114,5,0,0, + 0,114,193,0,0,0,36,3,0,0,115,48,0,0,0,8, + 0,4,2,4,7,2,2,10,1,2,10,12,1,2,6,12, + 1,2,11,10,1,2,3,10,1,2,8,10,1,2,9,2, + 1,12,1,2,4,2,1,12,1,2,4,2,1,16,1,114, + 17,0,0,0,114,193,0,0,0,99,0,0,0,0,0,0, + 0,0,0,0,0,0,2,0,0,0,0,0,0,0,115,32, + 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, + 1,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0, + 3,0,0,0,243,12,0,0,0,116,0,160,1,161,0,1, + 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, + 46,78,41,2,114,65,0,0,0,114,66,0,0,0,114,53, + 0,0,0,32,114,5,0,0,0,114,62,0,0,0,125,3, + 0,0,243,2,0,0,0,12,2,114,17,0,0,0,122,28, + 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, + 0,0,0,0,0,0,0,0,0,2,0,0,0,3,0,0, + 0,114,201,0,0,0,41,2,122,60,82,101,108,101,97,115, + 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, + 116,105,111,110,115,46,78,41,2,114,65,0,0,0,114,68, + 0,0,0,41,4,114,34,0,0,0,218,8,101,120,99,95, + 116,121,112,101,218,9,101,120,99,95,118,97,108,117,101,218, + 13,101,120,99,95,116,114,97,99,101,98,97,99,107,32,32, + 32,32,114,5,0,0,0,114,64,0,0,0,129,3,0,0, + 114,202,0,0,0,114,17,0,0,0,122,27,95,73,109,112, + 111,114,116,76,111,99,107,67,111,110,116,101,120,116,46,95, + 95,101,120,105,116,95,95,78,41,6,114,8,0,0,0,114, + 7,0,0,0,114,1,0,0,0,114,9,0,0,0,114,62, + 0,0,0,114,64,0,0,0,114,23,0,0,0,114,5,0, + 0,0,114,200,0,0,0,121,3,0,0,115,8,0,0,0, + 8,0,4,2,8,2,12,4,114,17,0,0,0,114,200,0, + 0,0,99,3,0,0,0,0,0,0,0,0,0,0,0,5, + 0,0,0,3,0,0,0,115,64,0,0,0,124,1,160,0, + 100,1,124,2,100,2,24,0,161,2,125,3,116,1,124,3, + 131,1,124,2,107,0,114,18,116,2,100,3,131,1,130,1, + 124,3,100,4,25,0,125,4,124,0,114,30,100,5,160,3, + 124,4,124,0,161,2,83,0,124,4,83,0,41,7,122,50, + 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, + 101,46,114,141,0,0,0,114,43,0,0,0,122,50,97,116, + 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, + 114,26,0,0,0,250,5,123,125,46,123,125,78,41,4,218, + 6,114,115,112,108,105,116,218,3,108,101,110,114,88,0,0, + 0,114,51,0,0,0,41,5,114,20,0,0,0,218,7,112, + 97,99,107,97,103,101,218,5,108,101,118,101,108,90,4,98, + 105,116,115,90,4,98,97,115,101,32,32,32,32,32,114,5, 0,0,0,218,13,95,114,101,115,111,108,118,101,95,110,97, 109,101,134,3,0,0,115,10,0,0,0,16,2,12,1,8, - 1,8,1,20,1,114,20,0,0,0,114,241,0,0,0,99, + 1,8,1,20,1,114,17,0,0,0,114,211,0,0,0,99, 3,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0, - 67,0,0,0,115,60,0,0,0,116,0,124,0,131,1,155, + 3,0,0,0,115,60,0,0,0,116,0,124,0,131,1,155, 0,100,1,157,2,125,3,116,1,160,2,124,3,116,3,161, 2,1,0,124,0,160,4,124,1,124,2,161,2,125,4,124, 4,100,0,117,0,114,25,100,0,83,0,116,5,124,1,124, @@ -1526,465 +1458,452 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 115,112,101,99,40,41,32,110,111,116,32,102,111,117,110,100, 59,32,102,97,108,108,105,110,103,32,98,97,99,107,32,116, 111,32,102,105,110,100,95,109,111,100,117,108,101,40,41,41, - 6,114,8,0,0,0,114,112,0,0,0,114,113,0,0,0, - 114,191,0,0,0,114,209,0,0,0,114,115,0,0,0,169, - 5,218,6,102,105,110,100,101,114,114,23,0,0,0,114,205, - 0,0,0,114,120,0,0,0,114,135,0,0,0,32,32,32, - 32,32,114,242,0,0,0,114,6,0,0,0,114,6,0,0, - 0,114,7,0,0,0,218,17,95,102,105,110,100,95,115,112, - 101,99,95,108,101,103,97,99,121,143,3,0,0,115,12,0, - 0,0,14,1,12,2,12,1,8,1,4,1,10,1,114,20, - 0,0,0,114,244,0,0,0,99,3,0,0,0,0,0,0, - 0,0,0,0,0,10,0,0,0,67,0,0,0,115,30,1, - 0,0,116,0,106,1,125,3,124,3,100,1,117,0,114,11, - 116,2,100,2,131,1,130,1,124,3,115,19,116,3,160,4, - 100,3,116,5,161,2,1,0,124,0,116,0,106,6,118,0, - 125,4,124,3,68,0,93,112,125,5,116,7,131,0,53,0, - 1,0,9,0,124,5,106,8,125,6,110,27,35,0,4,0, - 116,9,121,142,1,0,1,0,1,0,116,10,124,5,124,0, - 124,1,131,3,125,7,124,7,100,1,117,0,114,61,89,0, - 100,1,4,0,4,0,131,3,1,0,113,26,89,0,110,7, - 37,0,124,6,124,0,124,1,124,2,131,3,125,7,100,1, - 4,0,4,0,131,3,1,0,110,11,35,0,49,0,115,81, - 119,4,37,0,1,0,1,0,1,0,89,0,1,0,1,0, - 124,7,100,1,117,1,114,138,124,4,115,134,124,0,116,0, - 106,6,118,0,114,134,116,0,106,6,124,0,25,0,125,8, - 9,0,124,8,106,11,125,9,110,14,35,0,4,0,116,9, - 121,141,1,0,1,0,1,0,124,7,6,0,89,0,2,0, - 1,0,83,0,37,0,124,9,100,1,117,0,114,130,124,7, - 2,0,1,0,83,0,124,9,2,0,1,0,83,0,124,7, - 2,0,1,0,83,0,113,26,100,1,83,0,119,0,119,0, - 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, - 32,105,115,32,101,109,112,116,121,41,12,114,21,0,0,0, - 218,9,109,101,116,97,95,112,97,116,104,114,97,0,0,0, - 114,112,0,0,0,114,113,0,0,0,114,191,0,0,0,114, - 116,0,0,0,114,228,0,0,0,114,207,0,0,0,114,2, - 0,0,0,114,244,0,0,0,114,125,0,0,0,169,10,114, - 23,0,0,0,114,205,0,0,0,114,206,0,0,0,114,245, - 0,0,0,90,9,105,115,95,114,101,108,111,97,100,114,243, - 0,0,0,114,207,0,0,0,114,121,0,0,0,114,122,0, - 0,0,114,125,0,0,0,32,32,32,32,32,32,32,32,32, - 32,114,246,0,0,0,114,6,0,0,0,114,6,0,0,0, - 114,7,0,0,0,218,10,95,102,105,110,100,95,115,112,101, - 99,153,3,0,0,115,76,0,0,0,6,2,8,1,8,2, - 4,3,12,1,10,5,8,1,8,1,2,1,8,1,2,128, - 12,1,12,1,8,1,2,1,12,250,4,5,2,128,12,3, - 12,248,22,128,8,9,14,2,10,1,2,1,8,1,2,128, - 12,1,12,4,2,128,8,2,8,1,8,2,8,2,2,239, - 4,19,2,243,2,244,115,63,0,0,0,159,1,65,12,5, - 161,3,37,4,164,1,65,12,5,165,17,63,11,182,1,65, - 12,5,189,9,65,12,5,193,12,4,65,16,13,193,17,3, - 65,16,13,193,40,3,65,44,2,193,44,9,65,57,9,194, - 13,1,65,57,9,194,14,1,63,11,114,247,0,0,0,99, - 3,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0, - 67,0,0,0,115,110,0,0,0,116,0,124,0,116,1,131, - 2,115,14,116,2,100,1,160,3,116,4,124,0,131,1,161, - 1,131,1,130,1,124,2,100,2,107,0,114,22,116,5,100, - 3,131,1,130,1,124,2,100,2,107,4,114,41,116,0,124, - 1,116,1,131,2,115,35,116,2,100,4,131,1,130,1,124, - 1,115,41,116,6,100,5,131,1,130,1,124,0,115,53,124, - 2,100,2,107,2,114,51,116,5,100,6,131,1,130,1,100, - 7,83,0,100,7,83,0,41,8,122,28,86,101,114,105,102, - 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, - 44,32,110,111,116,32,123,125,114,28,0,0,0,122,18,108, - 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, 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0,0,67,0,0,0,115,20,1,0,0,100,0,125,2,124, - 0,160,0,100,1,161,1,100,2,25,0,125,3,124,3,114, - 64,124,3,116,1,106,2,118,1,114,21,116,3,124,1,124, - 3,131,2,1,0,124,0,116,1,106,2,118,0,114,31,116, - 1,106,2,124,0,25,0,83,0,116,1,106,2,124,3,25, - 0,125,4,9,0,124,4,106,4,125,2,110,23,35,0,4, - 0,116,5,121,137,1,0,1,0,1,0,116,6,100,3,23, - 0,160,7,124,0,124,3,161,2,125,5,116,8,124,5,124, - 0,100,4,141,2,100,0,130,2,37,0,116,9,124,0,124, - 2,131,2,125,6,124,6,100,0,117,0,114,82,116,8,116, - 6,160,7,124,0,161,1,124,0,100,4,141,2,130,1,116, - 10,124,6,131,1,125,7,124,3,114,134,116,1,106,2,124, - 3,25,0,125,4,124,0,160,0,100,1,161,1,100,5,25, - 0,125,8,9,0,116,11,124,4,124,8,124,7,131,3,1, - 0,124,7,83,0,35,0,4,0,116,5,121,136,1,0,1, - 0,1,0,100,6,124,3,155,2,100,7,124,8,155,2,157, - 4,125,5,116,12,160,13,124,5,116,14,161,2,1,0,89, - 0,124,7,83,0,37,0,124,7,83,0,119,0,119,0,41, - 8,78,114,158,0,0,0,114,28,0,0,0,122,23,59,32, - 123,33,114,125,32,105,115,32,110,111,116,32,97,32,112,97, - 99,107,97,103,101,114,22,0,0,0,233,2,0,0,0,122, - 27,67,97,110,110,111,116,32,115,101,116,32,97,110,32,97, - 116,116,114,105,98,117,116,101,32,111,110,32,122,18,32,102, - 111,114,32,99,104,105,108,100,32,109,111,100,117,108,101,32, - 41,15,114,159,0,0,0,114,21,0,0,0,114,116,0,0, - 0,114,83,0,0,0,114,173,0,0,0,114,2,0,0,0, - 218,8,95,69,82,82,95,77,83,71,114,54,0,0,0,218, - 19,77,111,100,117,108,101,78,111,116,70,111,117,110,100,69, - 114,114,111,114,114,247,0,0,0,114,197,0,0,0,114,13, - 0,0,0,114,112,0,0,0,114,113,0,0,0,114,191,0, - 0,0,169,9,114,23,0,0,0,218,7,105,109,112,111,114, - 116,95,114,205,0,0,0,114,160,0,0,0,90,13,112,97, - 114,101,110,116,95,109,111,100,117,108,101,114,120,0,0,0, - 114,121,0,0,0,114,122,0,0,0,90,5,99,104,105,108, - 100,32,32,32,32,32,32,32,32,32,114,1,1,0,0,114, - 6,0,0,0,114,6,0,0,0,114,7,0,0,0,218,23, - 95,102,105,110,100,95,97,110,100,95,108,111,97,100,95,117, - 110,108,111,99,107,101,100,219,3,0,0,115,68,0,0,0, - 4,1,14,1,4,1,10,1,10,1,10,2,10,1,10,1, - 2,1,8,1,2,128,12,1,16,1,14,1,2,128,10,1, - 8,1,18,1,8,2,4,1,10,2,14,1,2,1,12,1, - 4,4,2,128,12,253,16,1,14,1,4,1,2,128,4,0, - 2,253,2,242,115,31,0,0,0,165,3,41,0,169,22,63, - 7,193,37,6,65,45,0,193,45,21,66,5,7,194,8,1, - 66,5,7,194,9,1,63,7,114,3,1,0,0,99,2,0, - 0,0,0,0,0,0,0,0,0,0,9,0,0,0,67,0, - 0,0,115,132,0,0,0,116,0,124,0,131,1,53,0,1, - 0,116,1,106,2,160,3,124,0,116,4,161,2,125,2,124, - 2,116,4,117,0,114,27,116,5,124,0,124,1,131,2,2, - 0,100,1,4,0,4,0,131,3,1,0,83,0,9,0,100, + 6,114,6,0,0,0,114,101,0,0,0,114,102,0,0,0, + 114,169,0,0,0,114,184,0,0,0,114,104,0,0,0,41, + 5,218,6,102,105,110,100,101,114,114,20,0,0,0,114,181, + 0,0,0,114,108,0,0,0,114,122,0,0,0,32,32,32, + 32,32,114,5,0,0,0,218,17,95,102,105,110,100,95,115, + 112,101,99,95,108,101,103,97,99,121,143,3,0,0,115,12, + 0,0,0,14,1,12,2,12,1,8,1,4,1,10,1,114, + 17,0,0,0,114,213,0,0,0,99,3,0,0,0,0,0, + 0,0,0,0,0,0,10,0,0,0,3,0,0,0,115,30, + 1,0,0,116,0,106,1,125,3,124,3,100,1,117,0,114, + 11,116,2,100,2,131,1,130,1,124,3,115,19,116,3,160, + 4,100,3,116,5,161,2,1,0,124,0,116,0,106,6,118, + 0,125,4,124,3,68,0,93,112,125,5,116,7,131,0,53, + 0,1,0,9,0,124,5,106,8,125,6,110,27,35,0,4, + 0,116,9,121,142,1,0,1,0,1,0,116,10,124,5,124, + 0,124,1,131,3,125,7,124,7,100,1,117,0,114,61,89, + 0,100,1,4,0,4,0,131,3,1,0,113,26,89,0,110, + 7,37,0,124,6,124,0,124,1,124,2,131,3,125,7,100, 1,4,0,4,0,131,3,1,0,110,11,35,0,49,0,115, - 39,119,4,37,0,1,0,1,0,1,0,89,0,1,0,1, - 0,124,2,100,1,117,0,114,60,100,2,160,6,124,0,161, - 1,125,3,116,7,124,3,124,0,100,3,141,2,130,1,116, - 8,124,0,131,1,1,0,124,2,83,0,41,4,122,25,70, - 105,110,100,32,97,110,100,32,108,111,97,100,32,116,104,101, - 32,109,111,100,117,108,101,46,78,122,40,105,109,112,111,114, - 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, - 108,101,115,114,22,0,0,0,41,9,114,61,0,0,0,114, - 21,0,0,0,114,116,0,0,0,114,41,0,0,0,218,14, - 95,78,69,69,68,83,95,76,79,65,68,73,78,71,114,3, - 1,0,0,114,54,0,0,0,114,0,1,0,0,114,80,0, - 0,0,169,4,114,23,0,0,0,114,2,1,0,0,114,122, - 0,0,0,114,92,0,0,0,32,32,32,32,114,5,1,0, - 0,114,6,0,0,0,114,6,0,0,0,114,7,0,0,0, - 218,14,95,102,105,110,100,95,97,110,100,95,108,111,97,100, - 254,3,0,0,115,30,0,0,0,10,2,14,1,8,1,8, - 1,14,253,2,2,12,254,22,128,8,5,2,1,6,1,2, - 255,12,2,8,2,4,1,115,12,0,0,0,132,16,34,3, - 162,4,38,11,167,3,38,11,114,6,1,0,0,114,28,0, - 0,0,99,3,0,0,0,0,0,0,0,0,0,0,0,4, - 0,0,0,67,0,0,0,115,42,0,0,0,116,0,124,0, - 124,1,124,2,131,3,1,0,124,2,100,1,107,4,114,16, - 116,1,124,0,124,1,124,2,131,3,125,0,116,2,124,0, - 116,3,131,2,83,0,41,3,97,50,1,0,0,73,109,112, - 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, - 28,0,0,0,78,41,4,114,253,0,0,0,114,241,0,0, - 0,114,6,1,0,0,218,11,95,103,99,100,95,105,109,112, - 111,114,116,114,252,0,0,0,32,32,32,114,252,0,0,0, - 114,6,0,0,0,114,6,0,0,0,114,7,0,0,0,114, - 7,1,0,0,14,4,0,0,115,8,0,0,0,12,9,8, - 1,12,1,10,1,114,20,0,0,0,114,7,1,0,0,169, - 1,218,9,114,101,99,117,114,115,105,118,101,99,3,0,0, - 0,0,0,0,0,1,0,0,0,9,0,0,0,67,0,0, - 0,115,216,0,0,0,124,1,68,0,93,102,125,4,116,0, - 124,4,116,1,131,2,115,32,124,3,114,17,124,0,106,2, - 100,1,23,0,125,5,110,2,100,2,125,5,116,3,100,3, - 124,5,155,0,100,4,116,4,124,4,131,1,106,2,155,0, - 157,4,131,1,130,1,124,4,100,5,107,2,114,53,124,3, - 115,52,116,5,124,0,100,6,131,2,114,52,116,6,124,0, - 124,0,106,7,124,2,100,7,100,8,141,4,1,0,113,2, - 116,5,124,0,124,4,131,2,115,104,100,9,160,8,124,0, - 106,2,124,4,161,2,125,6,9,0,116,9,124,2,124,6, - 131,2,1,0,113,2,35,0,4,0,116,10,121,107,1,0, - 125,7,1,0,124,7,106,11,124,6,107,2,114,98,116,12, - 106,13,160,14,124,6,116,15,161,2,100,10,117,1,114,98, - 89,0,100,10,125,7,126,7,113,2,130,0,100,10,125,7, - 126,7,119,1,37,0,113,2,124,0,83,0,119,0,41,11, - 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, - 122,8,46,95,95,97,108,108,95,95,122,13,96,96,102,114, - 111,109,32,108,105,115,116,39,39,122,8,73,116,101,109,32, - 105,110,32,122,18,32,109,117,115,116,32,98,101,32,115,116, - 114,44,32,110,111,116,32,250,1,42,218,7,95,95,97,108, - 108,95,95,84,114,8,1,0,0,114,235,0,0,0,78,41, - 16,114,248,0,0,0,114,249,0,0,0,114,10,0,0,0, - 114,250,0,0,0,114,3,0,0,0,114,12,0,0,0,218, - 16,95,104,97,110,100,108,101,95,102,114,111,109,108,105,115, - 116,114,11,1,0,0,114,54,0,0,0,114,83,0,0,0, - 114,0,1,0,0,114,23,0,0,0,114,21,0,0,0,114, - 116,0,0,0,114,41,0,0,0,114,4,1,0,0,169,8, - 114,122,0,0,0,218,8,102,114,111,109,108,105,115,116,114, - 2,1,0,0,114,9,1,0,0,218,1,120,90,5,119,104, - 101,114,101,90,9,102,114,111,109,95,110,97,109,101,90,3, - 101,120,99,32,32,32,32,32,32,32,32,114,13,1,0,0, - 114,6,0,0,0,114,6,0,0,0,114,7,0,0,0,114, - 12,1,0,0,29,4,0,0,115,58,0,0,0,8,10,10, - 1,4,1,12,1,4,2,10,1,8,1,8,255,8,2,14, - 1,10,1,2,1,6,255,2,128,10,2,14,1,2,1,12, - 1,2,128,12,1,10,4,16,1,2,255,10,2,2,1,10, - 128,2,245,4,12,2,248,115,36,0,0,0,193,2,5,65, - 8,2,193,8,7,65,39,9,193,15,14,65,35,9,193,34, - 1,65,35,9,193,35,4,65,39,9,193,43,1,65,39,9, - 114,12,1,0,0,99,1,0,0,0,0,0,0,0,0,0, - 0,0,7,0,0,0,67,0,0,0,115,146,0,0,0,124, - 0,160,0,100,1,161,1,125,1,124,0,160,0,100,2,161, - 1,125,2,124,1,100,3,117,1,114,41,124,2,100,3,117, - 1,114,39,124,1,124,2,106,1,107,3,114,39,116,2,160, - 3,100,4,124,1,155,2,100,5,124,2,106,1,155,2,100, - 6,157,5,116,4,100,7,100,8,166,3,1,0,124,1,83, - 0,124,2,100,3,117,1,114,48,124,2,106,1,83,0,116, - 2,160,3,100,9,116,4,100,7,100,8,166,3,1,0,124, - 0,100,10,25,0,125,1,100,11,124,0,118,1,114,71,124, - 1,160,5,100,12,161,1,100,13,25,0,125,1,124,1,83, - 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, - 107,110,111,119,110,46,10,10,32,32,32,32,114,178,0,0, - 0,114,125,0,0,0,78,122,32,95,95,112,97,99,107,97, - 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, - 114,10,0,0,0,114,173,0,0,0,114,158,0,0,0,114, - 28,0,0,0,41,6,114,41,0,0,0,114,160,0,0,0, - 114,112,0,0,0,114,113,0,0,0,114,191,0,0,0,114, - 159,0,0,0,169,3,218,7,103,108,111,98,97,108,115,114, - 239,0,0,0,114,121,0,0,0,32,32,32,114,18,1,0, - 0,114,6,0,0,0,114,6,0,0,0,114,7,0,0,0, - 218,17,95,99,97,108,99,95,95,95,112,97,99,107,97,103, - 101,95,95,66,4,0,0,115,42,0,0,0,10,7,10,1, - 8,1,18,1,6,1,2,1,4,255,4,1,6,255,4,2, - 6,254,4,3,8,1,6,1,6,2,4,2,6,254,8,3, - 8,1,14,1,4,1,114,20,0,0,0,114,20,1,0,0, - 114,6,0,0,0,99,5,0,0,0,0,0,0,0,0,0, - 0,0,5,0,0,0,67,0,0,0,115,174,0,0,0,124, - 4,100,1,107,2,114,9,116,0,124,0,131,1,125,5,110, - 18,124,1,100,2,117,1,114,15,124,1,110,1,105,0,125, - 6,116,1,124,6,131,1,125,7,116,0,124,0,124,7,124, - 4,131,3,125,5,124,3,115,74,124,4,100,1,107,2,114, - 42,116,0,124,0,160,2,100,3,161,1,100,1,25,0,131, - 1,83,0,124,0,115,46,124,5,83,0,116,3,124,0,131, - 1,116,3,124,0,160,2,100,3,161,1,100,1,25,0,131, - 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, - 0,83,0,116,7,124,5,100,4,131,2,114,85,116,8,124, - 5,124,3,116,0,131,3,83,0,124,5,83,0,41,5,97, - 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, - 102,32,50,41,46,10,10,32,32,32,32,114,28,0,0,0, - 78,114,158,0,0,0,114,173,0,0,0,41,9,114,7,1, - 0,0,114,20,1,0,0,218,9,112,97,114,116,105,116,105, - 111,110,114,237,0,0,0,114,21,0,0,0,114,116,0,0, - 0,114,10,0,0,0,114,12,0,0,0,114,12,1,0,0, - 169,9,114,23,0,0,0,114,19,1,0,0,218,6,108,111, - 99,97,108,115,114,14,1,0,0,114,240,0,0,0,114,122, - 0,0,0,90,8,103,108,111,98,97,108,115,95,114,239,0, - 0,0,90,7,99,117,116,95,111,102,102,32,32,32,32,32, - 32,32,32,32,114,22,1,0,0,114,6,0,0,0,114,6, - 0,0,0,114,7,0,0,0,218,10,95,95,105,109,112,111, - 114,116,95,95,93,4,0,0,115,30,0,0,0,8,11,10, - 1,16,2,8,1,12,1,4,1,8,3,18,1,4,1,4, - 1,26,4,30,3,10,1,12,1,4,2,114,20,0,0,0, - 114,24,1,0,0,99,1,0,0,0,0,0,0,0,0,0, - 0,0,3,0,0,0,67,0,0,0,115,38,0,0,0,116, - 0,160,1,124,0,161,1,125,1,124,1,100,0,117,0,114, - 15,116,2,100,1,124,0,23,0,131,1,130,1,116,3,124, - 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, - 101,100,32,41,4,114,199,0,0,0,114,207,0,0,0,114, - 97,0,0,0,114,197,0,0,0,169,2,114,23,0,0,0, - 114,121,0,0,0,32,32,114,25,1,0,0,114,6,0,0, - 0,114,6,0,0,0,114,7,0,0,0,218,18,95,98,117, - 105,108,116,105,110,95,102,114,111,109,95,110,97,109,101,130, - 4,0,0,115,8,0,0,0,10,1,8,1,12,1,8,1, - 114,20,0,0,0,114,26,1,0,0,99,2,0,0,0,0, - 0,0,0,0,0,0,0,5,0,0,0,67,0,0,0,115, - 166,0,0,0,124,1,97,0,124,0,97,1,116,2,116,1, - 131,1,125,2,116,1,106,3,160,4,161,0,68,0,93,36, - 92,2,125,3,125,4,116,5,124,4,124,2,131,2,114,49, - 124,3,116,1,106,6,118,0,114,30,116,7,125,5,110,9, - 116,0,160,8,124,3,161,1,114,38,116,9,125,5,110,1, - 113,13,116,10,124,4,124,5,131,2,125,6,116,11,124,6, - 124,4,131,2,1,0,113,13,116,1,106,3,116,12,25,0, - 125,7,100,1,68,0,93,23,125,8,124,8,116,1,106,3, - 118,1,114,69,116,13,124,8,131,1,125,9,110,5,116,1, - 106,3,124,8,25,0,125,9,116,14,124,7,124,8,124,9, - 131,3,1,0,113,57,100,2,83,0,41,3,122,250,83,101, - 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, - 110,46,10,10,32,32,32,32,41,3,114,29,0,0,0,114, - 112,0,0,0,114,77,0,0,0,78,41,15,114,69,0,0, - 0,114,21,0,0,0,114,3,0,0,0,114,116,0,0,0, - 218,5,105,116,101,109,115,114,248,0,0,0,114,96,0,0, - 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32,32,41,3,114,27,0,0,0,114,101,0,0,0,114,72, + 0,0,0,78,41,15,114,65,0,0,0,114,18,0,0,0, + 114,3,0,0,0,114,105,0,0,0,218,5,105,116,101,109, + 115,114,216,0,0,0,114,87,0,0,0,114,175,0,0,0, + 114,98,0,0,0,114,193,0,0,0,114,155,0,0,0,114, + 161,0,0,0,114,8,0,0,0,114,244,0,0,0,114,11, + 0,0,0,41,10,218,10,115,121,115,95,109,111,100,117,108, + 101,218,11,95,105,109,112,95,109,111,100,117,108,101,90,11, + 109,111,100,117,108,101,95,116,121,112,101,114,20,0,0,0, + 114,110,0,0,0,114,122,0,0,0,114,109,0,0,0,90, + 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, + 116,105,110,95,109,111,100,117,108,101,32,32,32,32,32,32, + 32,32,32,32,114,5,0,0,0,218,6,95,115,101,116,117, + 112,137,4,0,0,115,40,0,0,0,4,9,4,1,8,3, + 18,1,10,1,10,1,6,1,10,1,6,1,2,2,10,1, + 10,1,2,128,10,3,8,1,10,1,10,1,10,2,14,1, + 4,251,114,17,0,0,0,114,248,0,0,0,99,2,0,0, + 0,0,0,0,0,0,0,0,0,3,0,0,0,3,0,0, + 0,115,38,0,0,0,116,0,124,0,124,1,131,2,1,0, + 116,1,106,2,160,3,116,4,161,1,1,0,116,1,106,2, + 160,3,116,5,161,1,1,0,100,1,83,0,41,2,122,48, + 73,110,115,116,97,108,108,32,105,109,112,111,114,116,101,114, + 115,32,102,111,114,32,98,117,105,108,116,105,110,32,97,110, + 100,32,102,114,111,122,101,110,32,109,111,100,117,108,101,115, + 78,41,6,114,248,0,0,0,114,18,0,0,0,114,214,0, + 0,0,114,132,0,0,0,114,175,0,0,0,114,193,0,0, + 0,41,2,114,246,0,0,0,114,247,0,0,0,32,32,114, + 5,0,0,0,218,8,95,105,110,115,116,97,108,108,172,4, + 0,0,115,6,0,0,0,10,2,12,2,16,1,114,17,0, + 0,0,114,249,0,0,0,99,0,0,0,0,0,0,0,0, + 0,0,0,0,4,0,0,0,3,0,0,0,115,32,0,0, + 0,100,1,100,2,108,0,125,0,124,0,97,1,124,0,160, + 2,116,3,106,4,116,5,25,0,161,1,1,0,100,2,83, + 0,41,3,122,57,73,110,115,116,97,108,108,32,105,109,112, + 111,114,116,101,114,115,32,116,104,97,116,32,114,101,113,117, + 105,114,101,32,101,120,116,101,114,110,97,108,32,102,105,108, + 101,115,121,115,116,101,109,32,97,99,99,101,115,115,114,26, + 0,0,0,78,41,6,218,26,95,102,114,111,122,101,110,95, + 105,109,112,111,114,116,108,105,98,95,101,120,116,101,114,110, + 97,108,114,139,0,0,0,114,249,0,0,0,114,18,0,0, + 0,114,105,0,0,0,114,8,0,0,0,41,1,114,250,0, + 0,0,32,114,5,0,0,0,218,27,95,105,110,115,116,97, + 108,108,95,101,120,116,101,114,110,97,108,95,105,109,112,111, + 114,116,101,114,115,180,4,0,0,115,6,0,0,0,8,3, + 4,1,20,1,114,17,0,0,0,114,251,0,0,0,114,190, + 0,0,0,114,0,0,0,0,114,25,0,0,0,41,4,78, + 78,114,23,0,0,0,114,26,0,0,0,41,54,114,9,0, + 0,0,114,6,0,0,0,114,27,0,0,0,114,101,0,0, + 0,114,72,0,0,0,114,139,0,0,0,114,16,0,0,0, + 114,21,0,0,0,114,67,0,0,0,114,38,0,0,0,114, + 48,0,0,0,114,22,0,0,0,114,24,0,0,0,114,56, + 0,0,0,114,58,0,0,0,114,61,0,0,0,114,73,0, + 0,0,114,75,0,0,0,114,84,0,0,0,114,95,0,0, + 0,114,100,0,0,0,114,111,0,0,0,114,124,0,0,0, + 114,125,0,0,0,114,104,0,0,0,114,155,0,0,0,114, + 161,0,0,0,114,165,0,0,0,114,119,0,0,0,114,106, + 0,0,0,114,172,0,0,0,114,173,0,0,0,114,107,0, + 0,0,114,175,0,0,0,114,193,0,0,0,114,200,0,0, + 0,114,211,0,0,0,114,213,0,0,0,114,215,0,0,0, + 114,221,0,0,0,90,15,95,69,82,82,95,77,83,71,95, + 80,82,69,70,73,88,114,223,0,0,0,114,226,0,0,0, + 218,6,111,98,106,101,99,116,114,227,0,0,0,114,228,0, + 0,0,114,229,0,0,0,114,234,0,0,0,114,240,0,0, + 0,114,243,0,0,0,114,244,0,0,0,114,248,0,0,0, + 114,249,0,0,0,114,251,0,0,0,114,23,0,0,0,114, + 5,0,0,0,218,8,60,109,111,100,117,108,101,62,1,0, + 0,0,115,104,0,0,0,4,0,8,22,4,9,4,1,4, + 1,4,3,8,3,8,8,4,8,4,2,16,3,14,4,14, + 77,14,21,8,16,8,37,8,17,14,11,8,8,8,11,8, + 12,8,19,14,26,16,101,10,26,14,45,8,72,8,17,8, + 17,8,30,8,36,8,45,14,15,14,80,14,85,8,13,8, + 9,10,10,8,47,4,16,8,1,8,2,6,32,8,3,10, + 16,14,15,8,37,10,27,8,37,8,7,8,35,12,8,114, + 17,0,0,0, }; diff --git a/Python/importlib_external.h b/Python/importlib_external.h index 4fc72002ccf948..ff1e5c430578b0 100644 --- a/Python/importlib_external.h +++ b/Python/importlib_external.h @@ -1,7 +1,7 @@ /* Auto-generated by Programs/_freeze_importlib.c */ const unsigned char _Py_M__importlib_bootstrap_external[] = { 99,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0, - 0,64,0,0,0,115,250,2,0,0,100,0,90,0,100,1, + 0,0,0,0,0,115,250,2,0,0,100,0,90,0,100,1, 97,1,100,2,100,1,108,2,90,2,100,2,100,1,108,3, 90,3,100,2,100,1,108,4,90,4,100,2,100,1,108,5, 90,5,100,2,100,1,108,6,90,6,101,4,106,7,100,3, @@ -73,561 +73,537 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 118,101,114,115,105,111,110,32,111,102,32,116,104,105,115,32, 109,111,100,117,108,101,46,10,10,78,233,0,0,0,0,90, 5,119,105,110,51,50,250,1,92,250,1,47,99,1,0,0, - 0,0,0,0,0,0,0,0,0,3,0,0,0,99,0,0, + 0,0,0,0,0,0,0,0,0,3,0,0,0,35,0,0, 0,115,28,0,0,0,129,0,124,0,93,9,125,1,116,0, 124,1,131,1,100,0,107,2,86,0,1,0,113,2,100,1, 83,0,41,2,233,1,0,0,0,78,41,1,218,3,108,101, - 110,169,2,218,2,46,48,218,3,115,101,112,32,32,114,5, - 0,0,0,169,0,114,8,0,0,0,250,38,60,102,114,111, - 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, - 108,62,218,9,60,103,101,110,101,120,112,114,62,46,0,0, - 0,115,4,0,0,0,6,128,22,0,243,0,0,0,0,114, - 10,0,0,0,218,0,99,1,0,0,0,0,0,0,0,0, - 0,0,0,4,0,0,0,67,0,0,0,115,22,0,0,0, - 104,0,124,0,93,7,125,1,100,0,124,1,155,0,157,2, - 146,2,113,2,83,0,41,1,250,1,58,114,8,0,0,0, - 169,2,114,6,0,0,0,218,1,115,32,32,114,14,0,0, - 0,114,8,0,0,0,114,8,0,0,0,114,9,0,0,0, - 218,9,60,115,101,116,99,111,109,112,62,50,0,0,0,115, - 2,0,0,0,22,0,114,11,0,0,0,114,16,0,0,0, - 41,1,218,3,119,105,110,41,2,90,6,99,121,103,119,105, - 110,90,6,100,97,114,119,105,110,99,0,0,0,0,0,0, - 0,0,0,0,0,0,3,0,0,0,3,0,0,0,115,62, - 0,0,0,116,0,106,1,160,2,116,3,161,1,114,25,116, - 0,106,1,160,2,116,4,161,1,114,15,100,1,137,0,110, - 2,100,2,137,0,135,0,102,1,100,3,100,4,132,8,125, - 0,124,0,83,0,100,5,100,4,132,0,125,0,124,0,83, - 0,41,6,78,90,12,80,89,84,72,79,78,67,65,83,69, - 79,75,115,12,0,0,0,80,89,84,72,79,78,67,65,83, - 69,79,75,99,0,0,0,0,0,0,0,0,0,0,0,0, - 2,0,0,0,19,0,0,0,115,20,0,0,0,116,0,106, - 1,106,2,12,0,111,9,136,0,116,3,106,4,118,0,83, - 0,41,2,122,94,84,114,117,101,32,105,102,32,102,105,108, - 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, - 110,115,105,116,105,118,101,108,121,32,97,110,100,32,105,103, - 110,111,114,101,32,101,110,118,105,114,111,110,109,101,110,116, - 32,102,108,97,103,115,32,97,114,101,32,110,111,116,32,115, - 101,116,46,78,41,5,218,3,115,121,115,218,5,102,108,97, - 103,115,218,18,105,103,110,111,114,101,95,101,110,118,105,114, - 111,110,109,101,110,116,218,3,95,111,115,90,7,101,110,118, - 105,114,111,110,169,1,218,3,107,101,121,128,114,8,0,0, - 0,114,22,0,0,0,114,8,0,0,0,114,9,0,0,0, - 218,11,95,114,101,108,97,120,95,99,97,115,101,67,0,0, - 0,243,2,0,0,0,20,2,114,11,0,0,0,122,37,95, - 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, - 0,1,0,0,0,83,0,0,0,243,4,0,0,0,100,1, - 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, - 101,110,115,105,116,105,118,101,108,121,46,70,78,114,8,0, - 0,0,114,8,0,0,0,114,8,0,0,0,114,8,0,0, - 0,114,8,0,0,0,114,9,0,0,0,114,24,0,0,0, - 71,0,0,0,243,2,0,0,0,4,2,114,11,0,0,0, - 41,5,114,18,0,0,0,218,8,112,108,97,116,102,111,114, - 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, - 95,80,76,65,84,70,79,82,77,83,218,35,95,67,65,83, - 69,95,73,78,83,69,78,83,73,84,73,86,69,95,80,76, - 65,84,70,79,82,77,83,95,83,84,82,95,75,69,89,41, - 2,114,24,0,0,0,114,23,0,0,0,32,64,41,1,114, - 24,0,0,0,114,8,0,0,0,114,22,0,0,0,114,9, - 0,0,0,218,16,95,109,97,107,101,95,114,101,108,97,120, - 95,99,97,115,101,60,0,0,0,115,16,0,0,0,12,1, - 12,1,6,1,4,2,12,2,4,7,8,253,4,3,114,11, - 0,0,0,114,32,0,0,0,99,1,0,0,0,0,0,0, - 0,0,0,0,0,4,0,0,0,67,0,0,0,115,20,0, - 0,0,116,0,124,0,131,1,100,1,64,0,160,1,100,2, - 100,3,161,2,83,0,41,5,122,42,67,111,110,118,101,114, - 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, - 105,97,110,46,236,3,0,0,0,255,127,255,127,3,0,233, - 4,0,0,0,218,6,108,105,116,116,108,101,78,41,2,218, - 3,105,110,116,218,8,116,111,95,98,121,116,101,115,169,1, - 218,1,120,32,114,38,0,0,0,114,8,0,0,0,114,8, - 0,0,0,114,9,0,0,0,218,12,95,112,97,99,107,95, - 117,105,110,116,51,50,79,0,0,0,114,25,0,0,0,114, - 11,0,0,0,114,40,0,0,0,99,1,0,0,0,0,0, - 0,0,0,0,0,0,4,0,0,0,67,0,0,0,243,28, - 0,0,0,116,0,124,0,131,1,100,1,107,2,115,8,74, - 0,130,1,116,1,160,2,124,0,100,2,161,2,83,0,41, - 4,122,47,67,111,110,118,101,114,116,32,52,32,98,121,116, - 101,115,32,105,110,32,108,105,116,116,108,101,45,101,110,100, 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0,41,2,114,5,0,0,0,218,1,115,32,32,114,7,0, + 0,0,218,9,60,115,101,116,99,111,109,112,62,50,0,0, + 0,115,2,0,0,0,22,0,114,9,0,0,0,114,14,0, + 0,0,41,1,218,3,119,105,110,41,2,90,6,99,121,103, + 119,105,110,90,6,100,97,114,119,105,110,99,0,0,0,0, + 0,0,0,0,0,0,0,0,3,0,0,0,3,0,0,0, + 115,62,0,0,0,116,0,106,1,160,2,116,3,161,1,114, + 25,116,0,106,1,160,2,116,4,161,1,114,15,100,1,137, + 0,110,2,100,2,137,0,135,0,102,1,100,3,100,4,132, + 8,125,0,124,0,83,0,100,5,100,4,132,0,125,0,124, + 0,83,0,41,6,78,90,12,80,89,84,72,79,78,67,65, + 83,69,79,75,115,12,0,0,0,80,89,84,72,79,78,67, + 65,83,69,79,75,99,0,0,0,0,0,0,0,0,0,0, + 0,0,2,0,0,0,19,0,0,0,115,20,0,0,0,116, + 0,106,1,106,2,12,0,111,9,136,0,116,3,106,4,118, + 0,83,0,41,2,122,94,84,114,117,101,32,105,102,32,102, + 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, + 115,101,110,115,105,116,105,118,101,108,121,32,97,110,100,32, + 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9,0,0,0,41,5,114,16,0,0,0,218,8,112,108,97, + 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, + 84,73,86,69,95,80,76,65,84,70,79,82,77,83,218,35, + 95,67,65,83,69,95,73,78,83,69,78,83,73,84,73,86, + 69,95,80,76,65,84,70,79,82,77,83,95,83,84,82,95, + 75,69,89,41,2,114,22,0,0,0,114,21,0,0,0,32, + 64,114,7,0,0,0,218,16,95,109,97,107,101,95,114,101, + 108,97,120,95,99,97,115,101,60,0,0,0,115,16,0,0, + 0,12,1,12,1,6,1,4,2,12,2,4,7,8,253,4, + 3,114,9,0,0,0,114,30,0,0,0,99,1,0,0,0, + 0,0,0,0,0,0,0,0,4,0,0,0,3,0,0,0, + 115,20,0,0,0,116,0,124,0,131,1,100,1,64,0,160, + 1,100,2,100,3,161,2,83,0,41,5,122,42,67,111,110, + 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, + 101,110,100,105,97,110,46,236,3,0,0,0,255,127,255,127, + 3,0,233,4,0,0,0,218,6,108,105,116,116,108,101,78, + 41,2,218,3,105,110,116,218,8,116,111,95,98,121,116,101, + 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116,109,112,90,2,102,100,218,4,102,105,108,101,32,32,32, - 32,32,32,114,103,0,0,0,114,8,0,0,0,114,8,0, - 0,0,114,9,0,0,0,218,13,95,119,114,105,116,101,95, - 97,116,111,109,105,99,185,0,0,0,115,44,0,0,0,16, - 5,6,1,22,1,4,255,2,2,14,3,10,1,12,255,22, - 128,16,2,2,128,12,1,2,1,10,1,2,3,2,128,12, - 254,2,1,2,1,4,128,2,254,2,253,115,69,0,0,0, - 153,6,62,0,159,6,43,3,165,6,62,0,171,4,47,11, - 175,1,62,0,176,3,47,11,179,9,62,0,190,7,65,22, - 7,193,6,5,65,12,6,193,11,1,65,22,7,193,12,7, - 65,21,13,193,19,3,65,22,7,193,23,1,65,21,13,193, - 24,1,65,22,7,114,105,0,0,0,105,124,13,0,0,114, - 48,0,0,0,114,35,0,0,0,115,2,0,0,0,13,10, - 90,11,95,95,112,121,99,97,99,104,101,95,95,122,4,111, - 112,116,45,122,3,46,112,121,122,4,46,112,121,119,122,4, - 46,112,121,99,41,1,218,12,111,112,116,105,109,105,122,97, - 116,105,111,110,99,2,0,0,0,0,0,0,0,1,0,0, - 0,5,0,0,0,67,0,0,0,115,80,1,0,0,124,1, - 100,1,117,1,114,26,116,0,160,1,100,2,116,2,161,2, - 1,0,124,2,100,1,117,1,114,20,100,3,125,3,116,3, - 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0,0,0,218,4,114,101,115,116,90,3,116,97,103,90,15, + 97,108,109,111,115,116,95,102,105,108,101,110,97,109,101,218, + 8,102,105,108,101,110,97,109,101,32,32,32,32,32,32,32, + 32,32,32,32,32,114,7,0,0,0,218,17,99,97,99,104, + 101,95,102,114,111,109,95,115,111,117,114,99,101,127,1,0, + 0,115,72,0,0,0,8,18,6,1,2,1,4,255,8,2, + 4,1,8,1,12,1,10,1,12,1,16,1,8,1,8,1, + 8,1,24,1,8,1,12,1,6,1,8,2,8,1,8,1, + 8,1,14,1,14,1,12,1,10,1,8,9,14,1,24,5, + 12,1,2,4,4,1,8,1,2,1,4,253,12,5,114,9, + 0,0,0,114,121,0,0,0,99,1,0,0,0,0,0,0, + 0,0,0,0,0,5,0,0,0,3,0,0,0,115,40,1, + 0,0,116,0,106,1,106,2,100,1,117,0,114,10,116,3, + 100,2,131,1,130,1,116,4,160,5,124,0,161,1,125,0, + 116,6,124,0,131,1,92,2,125,1,125,2,100,3,125,3, + 116,0,106,7,100,1,117,1,114,51,116,0,106,7,160,8, + 116,9,161,1,125,4,124,1,160,10,124,4,116,11,23,0, + 161,1,114,51,124,1,116,12,124,4,131,1,100,1,133,2, + 25,0,125,1,100,4,125,3,124,3,115,72,116,6,124,1, + 131,1,92,2,125,1,125,5,124,5,116,13,107,3,114,72, + 116,14,116,13,155,0,100,5,124,0,155,2,157,3,131,1, + 130,1,124,2,160,15,100,6,161,1,125,6,124,6,100,7, + 118,1,114,88,116,14,100,8,124,2,155,2,157,2,131,1, + 130,1,124,6,100,9,107,2,114,132,124,2,160,16,100,6, + 100,10,161,2,100,11,25,0,125,7,124,7,160,10,116,17, + 161,1,115,112,116,14,100,12,116,17,155,2,157,2,131,1, + 130,1,124,7,116,12,116,17,131,1,100,1,133,2,25,0, + 125,8,124,8,160,18,161,0,115,132,116,14,100,13,124,7, + 155,2,100,14,157,3,131,1,130,1,124,2,160,19,100,6, + 161,1,100,15,25,0,125,9,116,20,124,1,124,9,116,21, + 100,15,25,0,23,0,131,2,83,0,41,16,97,110,1,0, + 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, + 114,98,0,0,0,70,84,122,31,32,110,111,116,32,98,111, + 116,116,111,109,45,108,101,118,101,108,32,100,105,114,101,99, + 116,111,114,121,32,105,110,32,114,97,0,0,0,62,2,0, + 0,0,114,45,0,0,0,233,3,0,0,0,122,29,101,120, + 112,101,99,116,101,100,32,111,110,108,121,32,50,32,111,114, + 32,51,32,100,111,116,115,32,105,110,32,114,122,0,0,0, + 114,45,0,0,0,233,254,255,255,255,122,53,111,112,116,105, + 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, + 32,122,19,111,112,116,105,109,105,122,97,116,105,111,110,32, + 108,101,118,101,108,32,122,29,32,105,115,32,110,111,116,32, + 97,110,32,97,108,112,104,97,110,117,109,101,114,105,99,32, + 118,97,108,117,101,114,0,0,0,0,41,22,114,16,0,0, + 0,114,105,0,0,0,114,106,0,0,0,114,107,0,0,0, + 114,19,0,0,0,114,103,0,0,0,114,73,0,0,0,114, + 114,0,0,0,114,50,0,0,0,114,51,0,0,0,114,27, + 0,0,0,114,59,0,0,0,114,4,0,0,0,114,116,0, + 0,0,114,111,0,0,0,218,5,99,111,117,110,116,218,6, + 114,115,112,108,105,116,114,112,0,0,0,114,110,0,0,0, + 218,9,112,97,114,116,105,116,105,111,110,114,67,0,0,0, + 218,15,83,79,85,82,67,69,95,83,85,70,70,73,88,69, + 83,41,10,114,65,0,0,0,114,118,0,0,0,90,16,112, + 121,99,97,99,104,101,95,102,105,108,101,110,97,109,101,90, + 23,102,111,117,110,100,95,105,110,95,112,121,99,97,99,104, + 101,95,112,114,101,102,105,120,90,13,115,116,114,105,112,112, + 101,100,95,112,97,116,104,90,7,112,121,99,97,99,104,101, + 90,9,100,111,116,95,99,111,117,110,116,114,96,0,0,0, + 90,9,111,112,116,95,108,101,118,101,108,90,13,98,97,115, + 101,95,102,105,108,101,110,97,109,101,32,32,32,32,32,32, + 32,32,32,32,114,7,0,0,0,218,17,115,111,117,114,99, + 101,95,102,114,111,109,95,99,97,99,104,101,198,1,0,0, + 115,60,0,0,0,12,9,8,1,10,1,12,1,4,1,10, + 1,12,1,14,1,16,1,4,1,4,1,12,1,8,1,8, + 1,2,1,8,255,10,2,8,1,14,1,8,1,16,1,10, + 1,4,1,2,1,8,255,16,2,8,1,16,1,14,2,18, + 1,114,9,0,0,0,114,128,0,0,0,99,1,0,0,0, + 0,0,0,0,0,0,0,0,9,0,0,0,3,0,0,0, + 115,126,0,0,0,116,0,124,0,131,1,100,1,107,2,114, + 8,100,2,83,0,124,0,160,1,100,3,161,1,92,3,125, + 1,125,2,125,3,124,1,114,28,124,3,160,2,161,0,100, + 4,100,5,133,2,25,0,100,6,107,3,114,30,124,0,83, + 0,9,0,116,3,124,0,131,1,125,4,110,18,35,0,4, + 0,116,4,116,5,102,2,121,62,1,0,1,0,1,0,124, + 0,100,2,100,5,133,2,25,0,125,4,89,0,110,1,37, + 0,116,6,124,4,131,1,114,60,124,4,83,0,124,0,83, + 0,119,0,41,7,122,188,67,111,110,118,101,114,116,32,97, + 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, + 32,32,32,114,0,0,0,0,78,114,97,0,0,0,233,253, + 255,255,255,233,255,255,255,255,90,2,112,121,41,7,114,4, + 0,0,0,114,104,0,0,0,218,5,108,111,119,101,114,114, + 128,0,0,0,114,107,0,0,0,114,111,0,0,0,114,80, + 0,0,0,41,5,218,13,98,121,116,101,99,111,100,101,95, + 112,97,116,104,114,119,0,0,0,218,1,95,90,9,101,120, + 116,101,110,115,105,111,110,218,11,115,111,117,114,99,101,95, + 112,97,116,104,32,32,32,32,32,114,7,0,0,0,218,15, + 95,103,101,116,95,115,111,117,114,99,101,102,105,108,101,238, + 1,0,0,115,26,0,0,0,12,7,4,1,16,1,24,1, + 4,1,2,1,10,1,2,128,16,1,16,1,2,128,16,1, + 2,254,115,12,0,0,0,159,4,36,0,164,15,53,7,190, + 1,53,7,114,135,0,0,0,99,1,0,0,0,0,0,0, + 0,0,0,0,0,8,0,0,0,3,0,0,0,115,70,0, + 0,0,124,0,160,0,116,1,116,2,131,1,161,1,114,23, + 9,0,116,3,124,0,131,1,83,0,35,0,4,0,116,4, + 121,34,1,0,1,0,1,0,89,0,100,0,83,0,37,0, + 124,0,160,0,116,1,116,5,131,1,161,1,114,32,124,0, + 83,0,100,0,83,0,119,0,114,69,0,0,0,41,6,114, + 58,0,0,0,218,5,116,117,112,108,101,114,127,0,0,0, + 114,121,0,0,0,114,107,0,0,0,114,113,0,0,0,41, + 1,114,120,0,0,0,32,114,7,0,0,0,218,11,95,103, 101,116,95,99,97,99,104,101,100,1,2,0,0,115,22,0, 0,0,14,1,2,1,8,1,2,128,12,1,6,1,2,128, 14,1,4,1,4,2,2,251,115,12,0,0,0,136,3,12, - 0,140,7,22,7,162,1,22,7,114,151,0,0,0,99,1, - 0,0,0,0,0,0,0,0,0,0,0,8,0,0,0,67, + 0,140,7,22,7,162,1,22,7,114,137,0,0,0,99,1, + 0,0,0,0,0,0,0,0,0,0,0,8,0,0,0,3, 0,0,0,115,52,0,0,0,9,0,116,0,124,0,131,1, 106,1,125,1,110,12,35,0,4,0,116,2,121,25,1,0, 1,0,1,0,100,1,125,1,89,0,110,1,37,0,124,1, @@ -635,514 +611,498 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 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, - 108,101,46,114,96,0,0,0,233,128,0,0,0,78,41,3, - 114,82,0,0,0,114,84,0,0,0,114,83,0,0,0,169, - 2,114,70,0,0,0,114,86,0,0,0,32,32,114,153,0, - 0,0,114,8,0,0,0,114,8,0,0,0,114,9,0,0, - 0,218,10,95,99,97,108,99,95,109,111,100,101,13,2,0, - 0,115,18,0,0,0,2,2,12,1,2,128,12,1,8,1, - 2,128,8,3,4,1,2,251,115,12,0,0,0,129,5,7, - 0,135,9,18,7,153,1,18,7,114,154,0,0,0,99,1, - 0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,3, - 0,0,0,115,52,0,0,0,100,6,135,0,102,1,100,2, - 100,3,132,9,125,1,116,0,100,1,117,1,114,15,116,0, - 106,1,125,2,110,4,100,4,100,5,132,0,125,2,124,2, - 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, - 0,0,0,0,0,0,0,0,0,0,5,0,0,0,31,0, - 0,0,115,76,0,0,0,124,1,100,0,117,0,114,8,124, - 0,106,0,125,1,110,18,124,0,106,0,124,1,107,3,114, - 26,116,1,100,1,124,0,106,0,155,1,100,2,124,1,155, - 1,157,4,124,1,100,3,141,2,130,1,136,0,124,0,124, - 1,103,2,124,2,162,1,82,0,105,0,124,3,164,1,142, - 1,83,0,41,4,78,122,11,108,111,97,100,101,114,32,102, - 111,114,32,122,15,32,99,97,110,110,111,116,32,104,97,110, - 100,108,101,32,169,1,218,4,110,97,109,101,41,2,114,156, - 0,0,0,218,11,73,109,112,111,114,116,69,114,114,111,114, - 41,5,218,4,115,101,108,102,114,156,0,0,0,218,4,97, - 114,103,115,218,6,107,119,97,114,103,115,218,6,109,101,116, - 104,111,100,32,32,32,32,128,41,4,114,158,0,0,0,114, - 156,0,0,0,114,159,0,0,0,114,160,0,0,0,169,1, - 114,161,0,0,0,114,8,0,0,0,114,9,0,0,0,218, - 19,95,99,104,101,99,107,95,110,97,109,101,95,119,114,97, - 112,112,101,114,33,2,0,0,115,18,0,0,0,8,1,8, - 1,10,1,4,1,12,1,2,255,2,1,6,255,24,2,114, - 11,0,0,0,122,40,95,99,104,101,99,107,95,110,97,109, - 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, - 0,0,0,0,0,0,0,0,0,0,0,7,0,0,0,83, - 0,0,0,115,56,0,0,0,100,1,68,0,93,16,125,2, - 116,0,124,1,124,2,131,2,114,18,116,1,124,0,124,2, - 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2,100,3,132,9,125,1,116,0,100,1,117,1,114,15,116, + 0,106,1,125,2,110,4,100,4,100,5,132,0,125,2,124, + 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, + 0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,31, + 0,0,0,115,76,0,0,0,124,1,100,0,117,0,114,8, + 124,0,106,0,125,1,110,18,124,0,106,0,124,1,107,3, + 114,26,116,1,100,1,124,0,106,0,155,1,100,2,124,1, + 155,1,157,4,124,1,100,3,141,2,130,1,136,0,124,0, + 124,1,103,2,124,2,162,1,82,0,105,0,124,3,164,1, + 142,1,83,0,41,4,78,122,11,108,111,97,100,101,114,32, + 102,111,114,32,122,15,32,99,97,110,110,111,116,32,104,97, + 110,100,108,101,32,169,1,218,4,110,97,109,101,41,2,114, + 141,0,0,0,218,11,73,109,112,111,114,116,69,114,114,111, + 114,41,5,218,4,115,101,108,102,114,141,0,0,0,218,4, + 97,114,103,115,218,6,107,119,97,114,103,115,218,6,109,101, + 116,104,111,100,32,32,32,32,128,114,7,0,0,0,218,19, + 95,99,104,101,99,107,95,110,97,109,101,95,119,114,97,112, + 112,101,114,33,2,0,0,115,18,0,0,0,8,1,8,1, + 10,1,4,1,12,1,2,255,2,1,6,255,24,2,114,9, + 0,0,0,122,40,95,99,104,101,99,107,95,110,97,109,101, + 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, + 0,0,0,0,0,0,0,0,0,0,7,0,0,0,19,0, + 0,0,115,56,0,0,0,100,1,68,0,93,16,125,2,116, + 0,124,1,124,2,131,2,114,18,116,1,124,0,124,2,116, + 2,124,1,124,2,131,2,131,3,1,0,113,2,124,0,106, + 3,160,4,124,1,106,3,161,1,1,0,100,0,83,0,41, + 2,78,41,4,218,10,95,95,109,111,100,117,108,101,95,95, + 218,8,95,95,110,97,109,101,95,95,218,12,95,95,113,117, + 97,108,110,97,109,101,95,95,218,7,95,95,100,111,99,95, + 95,41,5,218,7,104,97,115,97,116,116,114,218,7,115,101, + 116,97,116,116,114,218,7,103,101,116,97,116,116,114,218,8, + 95,95,100,105,99,116,95,95,218,6,117,112,100,97,116,101, + 41,3,90,3,110,101,119,90,3,111,108,100,114,85,0,0, + 0,32,32,32,114,7,0,0,0,218,5,95,119,114,97,112, 46,2,0,0,115,10,0,0,0,8,1,10,1,18,1,2, - 128,18,1,114,11,0,0,0,122,26,95,99,104,101,99,107, + 128,18,1,114,9,0,0,0,122,26,95,99,104,101,99,107, 95,110,97,109,101,46,60,108,111,99,97,108,115,62,46,95, - 119,114,97,112,114,76,0,0,0,41,2,218,10,95,98,111, - 111,116,115,116,114,97,112,114,174,0,0,0,41,4,114,161, - 0,0,0,114,163,0,0,0,114,174,0,0,0,114,161,0, - 0,0,96,32,32,64,41,3,114,161,0,0,0,114,163,0, - 0,0,114,174,0,0,0,114,8,0,0,0,114,162,0,0, - 0,114,9,0,0,0,218,11,95,99,104,101,99,107,95,110, - 97,109,101,25,2,0,0,115,12,0,0,0,14,8,8,10, - 8,1,8,2,10,6,4,1,114,11,0,0,0,114,176,0, - 0,0,99,2,0,0,0,0,0,0,0,0,0,0,0,6, - 0,0,0,67,0,0,0,115,72,0,0,0,116,0,160,1, - 100,1,116,2,161,2,1,0,124,0,160,3,124,1,161,1, - 92,2,125,2,125,3,124,2,100,2,117,0,114,34,116,4, - 124,3,131,1,114,34,100,3,125,4,116,0,160,1,124,4, - 160,5,124,3,100,4,25,0,161,1,116,6,161,2,1,0, - 124,2,83,0,41,5,122,155,84,114,121,32,116,111,32,102, - 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, - 32,32,32,122,90,102,105,110,100,95,109,111,100,117,108,101, - 40,41,32,105,115,32,100,101,112,114,101,99,97,116,101,100, - 32,97,110,100,32,115,108,97,116,101,100,32,102,111,114,32, - 114,101,109,111,118,97,108,32,105,110,32,80,121,116,104,111, - 110,32,51,46,49,50,59,32,117,115,101,32,102,105,110,100, - 95,115,112,101,99,40,41,32,105,110,115,116,101,97,100,78, - 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, - 115,115,105,110,103,32,95,95,105,110,105,116,95,95,114,0, - 0,0,0,41,7,114,109,0,0,0,114,110,0,0,0,114, - 111,0,0,0,218,11,102,105,110,100,95,108,111,97,100,101, - 114,114,4,0,0,0,114,98,0,0,0,218,13,73,109,112, - 111,114,116,87,97,114,110,105,110,103,169,5,114,158,0,0, - 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, - 115,103,32,32,32,32,32,114,179,0,0,0,114,8,0,0, - 0,114,8,0,0,0,114,9,0,0,0,218,17,95,102,105, - 110,100,95,109,111,100,117,108,101,95,115,104,105,109,56,2, - 0,0,115,16,0,0,0,6,7,2,2,4,254,14,6,16, - 1,4,1,22,1,4,1,114,11,0,0,0,114,184,0,0, - 0,99,3,0,0,0,0,0,0,0,0,0,0,0,4,0, - 0,0,67,0,0,0,115,166,0,0,0,124,0,100,1,100, - 2,133,2,25,0,125,3,124,3,116,0,107,3,114,32,100, - 3,124,1,155,2,100,4,124,3,155,2,157,4,125,4,116, - 1,160,2,100,5,124,4,161,2,1,0,116,3,124,4,102, - 1,105,0,124,2,164,1,142,1,130,1,116,4,124,0,131, - 1,100,6,107,0,114,53,100,7,124,1,155,2,157,2,125, - 4,116,1,160,2,100,5,124,4,161,2,1,0,116,5,124, - 4,131,1,130,1,116,6,124,0,100,2,100,8,133,2,25, - 0,131,1,125,5,124,5,100,9,64,0,114,81,100,10,124, - 5,155,2,100,11,124,1,155,2,157,4,125,4,116,3,124, - 4,102,1,105,0,124,2,164,1,142,1,130,1,124,5,83, - 0,41,12,97,84,2,0,0,80,101,114,102,111,114,109,32, - 98,97,115,105,99,32,118,97,108,105,100,105,116,121,32,99, - 104,101,99,107,105,110,103,32,111,102,32,97,32,112,121,99, - 32,104,101,97,100,101,114,32,97,110,100,32,114,101,116,117, - 114,110,32,116,104,101,32,102,108,97,103,115,32,102,105,101, - 108,100,44,10,32,32,32,32,119,104,105,99,104,32,100,101, - 116,101,114,109,105,110,101,115,32,104,111,119,32,116,104,101, - 32,112,121,99,32,115,104,111,117,108,100,32,98,101,32,102, - 117,114,116,104,101,114,32,118,97,108,105,100,97,116,101,100, - 32,97,103,97,105,110,115,116,32,116,104,101,32,115,111,117, - 114,99,101,46,10,10,32,32,32,32,42,100,97,116,97,42, - 32,105,115,32,116,104,101,32,99,111,110,116,101,110,116,115, - 32,111,102,32,116,104,101,32,112,121,99,32,102,105,108,101, - 46,32,40,79,110,108,121,32,116,104,101,32,102,105,114,115, - 116,32,49,54,32,98,121,116,101,115,32,97,114,101,10,32, - 32,32,32,114,101,113,117,105,114,101,100,44,32,116,104,111, - 117,103,104,46,41,10,10,32,32,32,32,42,110,97,109,101, - 42,32,105,115,32,116,104,101,32,110,97,109,101,32,111,102, - 32,116,104,101,32,109,111,100,117,108,101,32,98,101,105,110, - 103,32,105,109,112,111,114,116,101,100,46,32,73,116,32,105, - 115,32,117,115,101,100,32,102,111,114,32,108,111,103,103,105, - 110,103,46,10,10,32,32,32,32,42,101,120,99,95,100,101, - 116,97,105,108,115,42,32,105,115,32,97,32,100,105,99,116, - 105,111,110,97,114,121,32,112,97,115,115,101,100,32,116,111, - 32,73,109,112,111,114,116,69,114,114,111,114,32,105,102,32, - 105,116,32,114,97,105,115,101,100,32,102,111,114,10,32,32, - 32,32,105,109,112,114,111,118,101,100,32,100,101,98,117,103, - 103,105,110,103,46,10,10,32,32,32,32,73,109,112,111,114, - 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, - 101,99,116,32,111,114,32,119,104,101,110,32,116,104,101,32, - 102,108,97,103,115,10,32,32,32,32,102,105,101,108,100,32, - 105,115,32,105,110,118,97,108,105,100,46,32,69,79,70,69, - 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, - 102,111,117,110,100,32,116,111,32,98,101,32,116,114,117,110, - 99,97,116,101,100,46,10,10,32,32,32,32,78,114,34,0, - 0,0,122,20,98,97,100,32,109,97,103,105,99,32,110,117, - 109,98,101,114,32,105,110,32,122,2,58,32,250,2,123,125, - 233,16,0,0,0,122,40,114,101,97,99,104,101,100,32,69, - 79,70,32,119,104,105,108,101,32,114,101,97,100,105,110,103, - 32,112,121,99,32,104,101,97,100,101,114,32,111,102,32,233, - 8,0,0,0,233,252,255,255,255,122,14,105,110,118,97,108, - 105,100,32,102,108,97,103,115,32,122,4,32,105,110,32,41, - 7,218,12,77,65,71,73,67,95,78,85,77,66,69,82,114, - 175,0,0,0,218,16,95,118,101,114,98,111,115,101,95,109, - 101,115,115,97,103,101,114,157,0,0,0,114,4,0,0,0, - 218,8,69,79,70,69,114,114,111,114,114,46,0,0,0,169, - 6,114,45,0,0,0,114,156,0,0,0,218,11,101,120,99, - 95,100,101,116,97,105,108,115,90,5,109,97,103,105,99,114, - 128,0,0,0,114,19,0,0,0,32,32,32,32,32,32,114, - 192,0,0,0,114,8,0,0,0,114,8,0,0,0,114,9, - 0,0,0,218,13,95,99,108,97,115,115,105,102,121,95,112, - 121,99,76,2,0,0,115,28,0,0,0,12,16,8,1,16, - 1,12,1,16,1,12,1,10,1,12,1,8,1,16,1,8, - 2,16,1,16,1,4,1,114,11,0,0,0,114,194,0,0, - 0,99,5,0,0,0,0,0,0,0,0,0,0,0,4,0, - 0,0,67,0,0,0,115,124,0,0,0,116,0,124,0,100, - 1,100,2,133,2,25,0,131,1,124,1,100,3,64,0,107, - 3,114,31,100,4,124,3,155,2,157,2,125,5,116,1,160, - 2,100,5,124,5,161,2,1,0,116,3,124,5,102,1,105, - 0,124,4,164,1,142,1,130,1,124,2,100,6,117,1,114, - 60,116,0,124,0,100,2,100,7,133,2,25,0,131,1,124, - 2,100,3,64,0,107,3,114,58,116,3,100,4,124,3,155, - 2,157,2,102,1,105,0,124,4,164,1,142,1,130,1,100, - 6,83,0,100,6,83,0,41,8,97,7,2,0,0,86,97, - 108,105,100,97,116,101,32,97,32,112,121,99,32,97,103,97, - 105,110,115,116,32,116,104,101,32,115,111,117,114,99,101,32, - 108,97,115,116,45,109,111,100,105,102,105,101,100,32,116,105, - 109,101,46,10,10,32,32,32,32,42,100,97,116,97,42,32, - 105,115,32,116,104,101,32,99,111,110,116,101,110,116,115,32, - 111,102,32,116,104,101,32,112,121,99,32,102,105,108,101,46, - 32,40,79,110,108,121,32,116,104,101,32,102,105,114,115,116, - 32,49,54,32,98,121,116,101,115,32,97,114,101,10,32,32, - 32,32,114,101,113,117,105,114,101,100,46,41,10,10,32,32, - 32,32,42,115,111,117,114,99,101,95,109,116,105,109,101,42, - 32,105,115,32,116,104,101,32,108,97,115,116,32,109,111,100, - 105,102,105,101,100,32,116,105,109,101,115,116,97,109,112,32, - 111,102,32,116,104,101,32,115,111,117,114,99,101,32,102,105, - 108,101,46,10,10,32,32,32,32,42,115,111,117,114,99,101, - 95,115,105,122,101,42,32,105,115,32,78,111,110,101,32,111, - 114,32,116,104,101,32,115,105,122,101,32,111,102,32,116,104, - 101,32,115,111,117,114,99,101,32,102,105,108,101,32,105,110, - 32,98,121,116,101,115,46,10,10,32,32,32,32,42,110,97, - 109,101,42,32,105,115,32,116,104,101,32,110,97,109,101,32, - 111,102,32,116,104,101,32,109,111,100,117,108,101,32,98,101, - 105,110,103,32,105,109,112,111,114,116,101,100,46,32,73,116, - 32,105,115,32,117,115,101,100,32,102,111,114,32,108,111,103, - 103,105,110,103,46,10,10,32,32,32,32,42,101,120,99,95, - 100,101,116,97,105,108,115,42,32,105,115,32,97,32,100,105, - 99,116,105,111,110,97,114,121,32,112,97,115,115,101,100,32, - 116,111,32,73,109,112,111,114,116,69,114,114,111,114,32,105, - 102,32,105,116,32,114,97,105,115,101,100,32,102,111,114,10, - 32,32,32,32,105,109,112,114,111,118,101,100,32,100,101,98, - 117,103,103,105,110,103,46,10,10,32,32,32,32,65,110,32, - 73,109,112,111,114,116,69,114,114,111,114,32,105,115,32,114, - 97,105,115,101,100,32,105,102,32,116,104,101,32,98,121,116, - 101,99,111,100,101,32,105,115,32,115,116,97,108,101,46,10, - 10,32,32,32,32,114,187,0,0,0,233,12,0,0,0,114, - 33,0,0,0,122,22,98,121,116,101,99,111,100,101,32,105, - 115,32,115,116,97,108,101,32,102,111,114,32,114,185,0,0, - 0,78,114,186,0,0,0,41,4,114,46,0,0,0,114,175, - 0,0,0,114,190,0,0,0,114,157,0,0,0,169,6,114, - 45,0,0,0,218,12,115,111,117,114,99,101,95,109,116,105, - 109,101,218,11,115,111,117,114,99,101,95,115,105,122,101,114, - 156,0,0,0,114,193,0,0,0,114,128,0,0,0,32,32, - 32,32,32,32,114,196,0,0,0,114,8,0,0,0,114,8, - 0,0,0,114,9,0,0,0,218,23,95,118,97,108,105,100, - 97,116,101,95,116,105,109,101,115,116,97,109,112,95,112,121, - 99,109,2,0,0,115,18,0,0,0,24,19,10,1,12,1, - 16,1,8,1,22,1,2,255,22,2,8,254,114,11,0,0, - 0,114,199,0,0,0,99,4,0,0,0,0,0,0,0,0, - 0,0,0,4,0,0,0,67,0,0,0,115,42,0,0,0, - 124,0,100,1,100,2,133,2,25,0,124,1,107,3,114,19, - 116,0,100,3,124,2,155,2,157,2,102,1,105,0,124,3, - 164,1,142,1,130,1,100,4,83,0,41,5,97,243,1,0, - 0,86,97,108,105,100,97,116,101,32,97,32,104,97,115,104, - 45,98,97,115,101,100,32,112,121,99,32,98,121,32,99,104, - 101,99,107,105,110,103,32,116,104,101,32,114,101,97,108,32, - 115,111,117,114,99,101,32,104,97,115,104,32,97,103,97,105, - 110,115,116,32,116,104,101,32,111,110,101,32,105,110,10,32, - 32,32,32,116,104,101,32,112,121,99,32,104,101,97,100,101, - 114,46,10,10,32,32,32,32,42,100,97,116,97,42,32,105, - 115,32,116,104,101,32,99,111,110,116,101,110,116,115,32,111, - 102,32,116,104,101,32,112,121,99,32,102,105,108,101,46,32, - 40,79,110,108,121,32,116,104,101,32,102,105,114,115,116,32, - 49,54,32,98,121,116,101,115,32,97,114,101,10,32,32,32, - 32,114,101,113,117,105,114,101,100,46,41,10,10,32,32,32, - 32,42,115,111,117,114,99,101,95,104,97,115,104,42,32,105, - 115,32,116,104,101,32,105,109,112,111,114,116,108,105,98,46, - 117,116,105,108,46,115,111,117,114,99,101,95,104,97,115,104, - 40,41,32,111,102,32,116,104,101,32,115,111,117,114,99,101, - 32,102,105,108,101,46,10,10,32,32,32,32,42,110,97,109, - 101,42,32,105,115,32,116,104,101,32,110,97,109,101,32,111, - 102,32,116,104,101,32,109,111,100,117,108,101,32,98,101,105, - 110,103,32,105,109,112,111,114,116,101,100,46,32,73,116,32, - 105,115,32,117,115,101,100,32,102,111,114,32,108,111,103,103, - 105,110,103,46,10,10,32,32,32,32,42,101,120,99,95,100, - 101,116,97,105,108,115,42,32,105,115,32,97,32,100,105,99, - 116,105,111,110,97,114,121,32,112,97,115,115,101,100,32,116, - 111,32,73,109,112,111,114,116,69,114,114,111,114,32,105,102, - 32,105,116,32,114,97,105,115,101,100,32,102,111,114,10,32, - 32,32,32,105,109,112,114,111,118,101,100,32,100,101,98,117, - 103,103,105,110,103,46,10,10,32,32,32,32,65,110,32,73, - 109,112,111,114,116,69,114,114,111,114,32,105,115,32,114,97, - 105,115,101,100,32,105,102,32,116,104,101,32,98,121,116,101, - 99,111,100,101,32,105,115,32,115,116,97,108,101,46,10,10, - 32,32,32,32,114,187,0,0,0,114,186,0,0,0,122,46, - 104,97,115,104,32,105,110,32,98,121,116,101,99,111,100,101, - 32,100,111,101,115,110,39,116,32,109,97,116,99,104,32,104, - 97,115,104,32,111,102,32,115,111,117,114,99,101,32,78,41, - 1,114,157,0,0,0,169,4,114,45,0,0,0,218,11,115, - 111,117,114,99,101,95,104,97,115,104,114,156,0,0,0,114, - 193,0,0,0,32,32,32,32,114,200,0,0,0,114,8,0, - 0,0,114,8,0,0,0,114,9,0,0,0,218,18,95,118, - 97,108,105,100,97,116,101,95,104,97,115,104,95,112,121,99, - 137,2,0,0,115,14,0,0,0,16,17,2,1,8,1,4, - 255,2,2,6,254,4,255,114,11,0,0,0,114,202,0,0, - 0,99,4,0,0,0,0,0,0,0,0,0,0,0,5,0, - 0,0,67,0,0,0,115,76,0,0,0,116,0,160,1,124, - 0,161,1,125,4,116,2,124,4,116,3,131,2,114,28,116, - 4,160,5,100,1,124,2,161,2,1,0,124,3,100,2,117, - 1,114,26,116,6,160,7,124,4,124,3,161,2,1,0,124, - 4,83,0,116,8,100,3,160,9,124,2,161,1,124,1,124, - 2,100,4,141,3,130,1,41,5,122,35,67,111,109,112,105, - 108,101,32,98,121,116,101,99,111,100,101,32,97,115,32,102, - 111,117,110,100,32,105,110,32,97,32,112,121,99,46,122,21, - 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, - 32,111,98,106,101,99,116,32,105,110,32,123,33,114,125,169, - 2,114,156,0,0,0,114,70,0,0,0,41,10,218,7,109, - 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, - 95,116,121,112,101,114,175,0,0,0,114,190,0,0,0,218, - 4,95,105,109,112,90,16,95,102,105,120,95,99,111,95,102, - 105,108,101,110,97,109,101,114,157,0,0,0,114,98,0,0, - 0,169,5,114,45,0,0,0,114,156,0,0,0,114,145,0, - 0,0,114,147,0,0,0,218,4,99,111,100,101,32,32,32, - 32,32,114,208,0,0,0,114,8,0,0,0,114,8,0,0, - 0,114,9,0,0,0,218,17,95,99,111,109,112,105,108,101, - 95,98,121,116,101,99,111,100,101,161,2,0,0,115,18,0, - 0,0,10,2,10,1,12,1,8,1,12,1,4,1,10,2, - 4,1,6,255,114,11,0,0,0,114,210,0,0,0,99,3, - 0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,67, - 0,0,0,115,70,0,0,0,116,0,116,1,131,1,125,3, - 124,3,160,2,116,3,100,1,131,1,161,1,1,0,124,3, - 160,2,116,3,124,1,131,1,161,1,1,0,124,3,160,2, - 116,3,124,2,131,1,161,1,1,0,124,3,160,2,116,4, - 160,5,124,0,161,1,161,1,1,0,124,3,83,0,41,3, - 122,43,80,114,111,100,117,99,101,32,116,104,101,32,100,97, - 116,97,32,102,111,114,32,97,32,116,105,109,101,115,116,97, - 109,112,45,98,97,115,101,100,32,112,121,99,46,114,0,0, - 0,0,78,41,6,218,9,98,121,116,101,97,114,114,97,121, - 114,189,0,0,0,218,6,101,120,116,101,110,100,114,40,0, - 0,0,114,204,0,0,0,218,5,100,117,109,112,115,169,4, - 114,209,0,0,0,218,5,109,116,105,109,101,114,198,0,0, - 0,114,45,0,0,0,32,32,32,32,114,214,0,0,0,114, - 8,0,0,0,114,8,0,0,0,114,9,0,0,0,218,22, - 95,99,111,100,101,95,116,111,95,116,105,109,101,115,116,97, - 109,112,95,112,121,99,174,2,0,0,115,12,0,0,0,8, - 2,14,1,14,1,14,1,16,1,4,1,114,11,0,0,0, - 114,216,0,0,0,84,99,3,0,0,0,0,0,0,0,0, - 0,0,0,5,0,0,0,67,0,0,0,115,80,0,0,0, - 116,0,116,1,131,1,125,3,100,1,124,2,100,1,62,0, - 66,0,125,4,124,3,160,2,116,3,124,4,131,1,161,1, - 1,0,116,4,124,1,131,1,100,2,107,2,115,25,74,0, - 130,1,124,3,160,2,124,1,161,1,1,0,124,3,160,2, - 116,5,160,6,124,0,161,1,161,1,1,0,124,3,83,0, - 41,4,122,38,80,114,111,100,117,99,101,32,116,104,101,32, - 100,97,116,97,32,102,111,114,32,97,32,104,97,115,104,45, - 98,97,115,101,100,32,112,121,99,46,114,3,0,0,0,114, - 187,0,0,0,78,41,7,114,211,0,0,0,114,189,0,0, - 0,114,212,0,0,0,114,40,0,0,0,114,4,0,0,0, - 114,204,0,0,0,114,213,0,0,0,169,5,114,209,0,0, - 0,114,201,0,0,0,90,7,99,104,101,99,107,101,100,114, - 45,0,0,0,114,19,0,0,0,32,32,32,32,32,114,217, - 0,0,0,114,8,0,0,0,114,8,0,0,0,114,9,0, - 0,0,218,17,95,99,111,100,101,95,116,111,95,104,97,115, - 104,95,112,121,99,184,2,0,0,115,14,0,0,0,8,2, - 12,1,14,1,16,1,10,1,16,1,4,1,114,11,0,0, - 0,114,218,0,0,0,99,1,0,0,0,0,0,0,0,0, - 0,0,0,6,0,0,0,67,0,0,0,115,62,0,0,0, - 100,1,100,2,108,0,125,1,116,1,160,2,124,0,161,1, - 106,3,125,2,124,1,160,4,124,2,161,1,125,3,116,1, - 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1,0,1,0,89,0,100,0,83,0,37,0,119,0,41,5, - 78,122,5,37,100,46,37,100,114,48,0,0,0,41,2,114, - 180,0,0,0,90,11,115,121,115,95,118,101,114,115,105,111, - 110,114,12,0,0,0,41,10,218,11,68,69,66,85,71,95, - 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, - 84,82,89,95,75,69,89,114,98,0,0,0,114,18,0,0, - 0,218,12,118,101,114,115,105,111,110,95,105,110,102,111,114, - 241,0,0,0,114,240,0,0,0,90,10,81,117,101,114,121, - 86,97,108,117,101,114,83,0,0,0,169,6,218,3,99,108, - 115,114,180,0,0,0,90,12,114,101,103,105,115,116,114,121, - 95,107,101,121,114,23,0,0,0,90,4,104,107,101,121,218, - 8,102,105,108,101,112,97,116,104,32,32,32,32,32,32,114, - 246,0,0,0,114,8,0,0,0,114,8,0,0,0,114,9, + 97,116,105,111,110,115,99,2,0,0,0,0,0,0,0,2, + 0,0,0,8,0,0,0,3,0,0,0,115,60,1,0,0, + 124,1,100,1,117,0,114,29,100,2,125,1,116,0,124,2, + 100,3,131,2,114,28,9,0,124,2,160,1,124,0,161,1, + 125,1,110,39,35,0,4,0,116,2,121,157,1,0,1,0, + 1,0,89,0,110,30,37,0,110,28,116,3,160,4,124,1, + 161,1,125,1,116,5,124,1,131,1,115,57,9,0,116,6, + 116,3,160,7,161,0,124,1,131,2,125,1,110,10,35,0, + 4,0,116,8,121,156,1,0,1,0,1,0,89,0,110,1, + 37,0,116,9,160,10,124,0,124,2,124,1,100,4,166,3, + 125,4,100,5,124,4,95,11,124,2,100,1,117,0,114,99, + 116,12,131,0,68,0,93,21,92,2,125,5,125,6,124,1, + 160,13,116,14,124,6,131,1,161,1,114,96,124,5,124,0, + 124,1,131,2,125,2,124,2,124,4,95,15,1,0,113,99, + 113,75,100,1,83,0,124,3,116,16,117,0,114,131,116,0, + 124,2,100,6,131,2,114,130,9,0,124,2,160,17,124,0, + 161,1,125,7,110,10,35,0,4,0,116,2,121,155,1,0, + 1,0,1,0,89,0,110,10,37,0,124,7,114,130,103,0, + 124,4,95,18,110,3,124,3,124,4,95,18,124,4,106,18, + 103,0,107,2,114,153,124,1,114,153,116,19,124,1,131,1, + 100,7,25,0,125,8,124,4,106,18,160,20,124,8,161,1, + 1,0,124,4,83,0,119,0,119,0,119,0,41,8,97,61, + 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, + 116,95,102,105,108,101,110,97,109,101,169,1,218,6,111,114, + 105,103,105,110,84,218,10,105,115,95,112,97,99,107,97,103, + 101,114,0,0,0,0,41,21,114,152,0,0,0,114,202,0, + 0,0,114,142,0,0,0,114,19,0,0,0,114,103,0,0, + 0,114,86,0,0,0,114,67,0,0,0,114,82,0,0,0, + 114,76,0,0,0,114,158,0,0,0,218,10,77,111,100,117, + 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, + 114,115,114,58,0,0,0,114,136,0,0,0,114,163,0,0, + 0,218,9,95,80,79,80,85,76,65,84,69,114,205,0,0, + 0,114,201,0,0,0,114,73,0,0,0,114,61,0,0,0, + 41,9,114,141,0,0,0,90,8,108,111,99,97,116,105,111, + 110,114,163,0,0,0,114,201,0,0,0,218,4,115,112,101, + 99,218,12,108,111,97,100,101,114,95,99,108,97,115,115,218, + 8,115,117,102,102,105,120,101,115,114,205,0,0,0,90,7, + 100,105,114,110,97,109,101,32,32,32,32,32,32,32,32,32, + 114,7,0,0,0,218,23,115,112,101,99,95,102,114,111,109, + 95,102,105,108,101,95,108,111,99,97,116,105,111,110,212,2, + 0,0,115,96,0,0,0,8,12,4,4,10,1,2,2,12, + 1,2,128,12,1,4,1,2,128,2,251,10,7,8,1,2, + 1,16,1,2,128,12,1,4,1,2,128,16,8,6,1,8, + 3,14,1,14,1,10,1,6,1,4,1,2,253,4,5,8, + 3,10,2,2,1,12,1,2,128,12,1,4,1,2,128,4, + 2,6,1,2,128,6,2,10,1,4,1,12,1,12,1,4, + 2,2,244,2,228,2,249,115,44,0,0,0,140,5,18,0, + 146,7,27,7,167,7,47,0,175,7,56,7,193,45,5,65, + 51,0,193,51,7,65,60,7,194,27,1,65,60,7,194,28, + 1,56,7,194,29,1,27,7,114,212,0,0,0,99,0,0, + 0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0, + 0,0,115,88,0,0,0,101,0,90,1,100,0,90,2,100, + 1,90,3,100,2,90,4,100,3,90,5,101,6,111,15,100, + 4,101,7,118,0,90,8,101,9,100,5,100,6,132,0,131, + 1,90,10,101,11,100,7,100,8,132,0,131,1,90,12,101, + 11,100,14,100,10,100,11,132,1,131,1,90,13,101,11,100, + 15,100,12,100,13,132,1,131,1,90,14,100,9,83,0,41, + 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, + 101,125,92,68,101,98,117,103,122,6,95,100,46,112,121,100, + 99,1,0,0,0,0,0,0,0,0,0,0,0,8,0,0, + 0,3,0,0,0,115,52,0,0,0,9,0,116,0,160,1, + 116,0,106,2,124,0,161,2,83,0,35,0,4,0,116,3, + 121,25,1,0,1,0,1,0,116,0,160,1,116,0,106,4, + 124,0,161,2,6,0,89,0,83,0,37,0,119,0,114,69, + 0,0,0,41,5,218,6,119,105,110,114,101,103,90,7,79, + 112,101,110,75,101,121,90,17,72,75,69,89,95,67,85,82, + 82,69,78,84,95,85,83,69,82,114,76,0,0,0,90,18, + 72,75,69,89,95,76,79,67,65,76,95,77,65,67,72,73, + 78,69,114,20,0,0,0,32,114,7,0,0,0,218,14,95, + 111,112,101,110,95,114,101,103,105,115,116,114,121,41,3,0, + 0,115,14,0,0,0,2,2,14,1,2,128,12,1,18,1, + 2,128,2,255,115,12,0,0,0,129,6,8,0,136,14,24, + 7,153,1,24,7,122,36,87,105,110,100,111,119,115,82,101, + 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, + 0,0,0,0,0,0,0,0,9,0,0,0,3,0,0,0, + 115,136,0,0,0,124,0,106,0,114,7,124,0,106,1,125, + 2,110,3,124,0,106,2,125,2,124,2,160,3,124,1,100, + 1,116,4,106,5,100,0,100,2,133,2,25,0,22,0,100, + 3,166,2,125,3,9,0,124,0,160,6,124,3,161,1,53, + 0,125,4,116,7,160,8,124,4,100,4,161,2,125,5,100, + 0,4,0,4,0,131,3,1,0,110,11,35,0,49,0,115, + 48,119,4,37,0,1,0,1,0,1,0,89,0,1,0,1, + 0,124,5,83,0,35,0,4,0,116,9,121,67,1,0,1, + 0,1,0,89,0,100,0,83,0,37,0,119,0,41,5,78, + 122,5,37,100,46,37,100,114,45,0,0,0,41,2,114,162, + 0,0,0,90,11,115,121,115,95,118,101,114,115,105,111,110, + 114,10,0,0,0,41,10,218,11,68,69,66,85,71,95,66, + 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, + 82,89,95,75,69,89,114,89,0,0,0,114,16,0,0,0, + 218,12,118,101,114,115,105,111,110,95,105,110,102,111,114,215, + 0,0,0,114,214,0,0,0,90,10,81,117,101,114,121,86, + 97,108,117,101,114,76,0,0,0,41,6,218,3,99,108,115, + 114,162,0,0,0,90,12,114,101,103,105,115,116,114,121,95, + 107,101,121,114,21,0,0,0,90,4,104,107,101,121,218,8, + 102,105,108,101,112,97,116,104,32,32,32,32,32,32,114,7, 0,0,0,218,16,95,115,101,97,114,99,104,95,114,101,103, 105,115,116,114,121,48,3,0,0,115,34,0,0,0,6,2, 8,1,6,2,6,1,16,1,6,255,2,2,12,1,12,1, @@ -1153,7 +1113,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 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, 115,116,114,121,78,99,4,0,0,0,0,0,0,0,0,0, - 0,0,8,0,0,0,67,0,0,0,115,122,0,0,0,124, + 0,0,8,0,0,0,3,0,0,0,115,122,0,0,0,124, 0,160,0,124,1,161,1,125,4,124,4,100,0,117,0,114, 11,100,0,83,0,9,0,116,1,124,4,131,1,1,0,110, 11,35,0,4,0,116,2,121,60,1,0,1,0,1,0,89, @@ -1161,399 +1121,384 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 2,125,5,125,6,124,4,160,4,116,5,124,6,131,1,161, 1,114,57,116,6,160,7,124,1,124,5,124,1,124,4,131, 2,124,4,100,1,166,3,125,7,124,7,2,0,1,0,83, - 0,113,31,100,0,83,0,119,0,41,2,78,114,228,0,0, - 0,41,8,114,249,0,0,0,114,82,0,0,0,114,83,0, - 0,0,114,232,0,0,0,114,62,0,0,0,114,149,0,0, - 0,114,175,0,0,0,218,16,115,112,101,99,95,102,114,111, - 109,95,108,111,97,100,101,114,169,8,114,247,0,0,0,114, - 180,0,0,0,114,70,0,0,0,218,6,116,97,114,103,101, - 116,114,248,0,0,0,114,181,0,0,0,114,237,0,0,0, - 114,235,0,0,0,32,32,32,32,32,32,32,32,114,251,0, - 0,0,114,8,0,0,0,114,8,0,0,0,114,9,0,0, - 0,218,9,102,105,110,100,95,115,112,101,99,63,3,0,0, - 115,38,0,0,0,10,2,8,1,4,1,2,1,10,1,2, - 128,12,1,6,1,2,128,14,1,14,1,6,1,8,1,2, - 1,6,254,8,3,2,252,4,255,2,254,115,12,0,0,0, - 140,4,17,0,145,7,27,7,188,1,27,7,122,31,87,105, - 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, - 0,0,0,0,0,0,0,0,0,0,4,0,0,0,67,0, - 0,0,115,42,0,0,0,116,0,160,1,100,1,116,2,161, - 2,1,0,124,0,160,3,124,1,124,2,161,2,125,3,124, - 3,100,2,117,1,114,19,124,3,106,4,83,0,100,2,83, - 0,41,3,122,106,70,105,110,100,32,109,111,100,117,108,101, - 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, - 32,102,105,110,100,95,115,112,101,99,40,41,32,105,110,115, - 116,101,97,100,46,10,10,32,32,32,32,32,32,32,32,122, - 112,87,105,110,100,111,119,115,82,101,103,105,115,116,114,121, - 70,105,110,100,101,114,46,102,105,110,100,95,109,111,100,117, - 108,101,40,41,32,105,115,32,100,101,112,114,101,99,97,116, - 101,100,32,97,110,100,32,115,108,97,116,101,100,32,102,111, - 114,32,114,101,109,111,118,97,108,32,105,110,32,80,121,116, - 104,111,110,32,51,46,49,50,59,32,117,115,101,32,102,105, - 110,100,95,115,112,101,99,40,41,32,105,110,115,116,101,97, - 100,78,169,5,114,109,0,0,0,114,110,0,0,0,114,111, - 0,0,0,114,253,0,0,0,114,181,0,0,0,169,4,114, - 247,0,0,0,114,180,0,0,0,114,70,0,0,0,114,235, - 0,0,0,32,32,32,32,114,255,0,0,0,114,8,0,0, - 0,114,8,0,0,0,114,9,0,0,0,218,11,102,105,110, - 100,95,109,111,100,117,108,101,79,3,0,0,115,14,0,0, - 0,6,7,2,2,4,254,12,3,8,1,6,1,4,2,114, - 11,0,0,0,122,33,87,105,110,100,111,119,115,82,101,103, 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114,11,0,0,0,122,21,83,111,117,114,99,101,76,111,97, - 100,101,114,46,115,101,116,95,100,97,116,97,99,2,0,0, - 0,0,0,0,0,0,0,0,0,8,0,0,0,67,0,0, - 0,115,70,0,0,0,124,0,160,0,124,1,161,1,125,2, - 9,0,124,0,160,1,124,2,161,1,125,3,116,4,124,3, - 131,1,83,0,35,0,4,0,116,2,121,34,1,0,125,4, - 1,0,116,3,100,1,124,1,100,2,141,2,124,4,130,2, - 100,3,125,4,126,4,119,1,37,0,119,0,41,4,122,52, - 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, - 103,104,32,103,101,116,95,100,97,116,97,40,41,114,155,0, - 0,0,78,41,5,114,227,0,0,0,218,8,103,101,116,95, - 100,97,116,97,114,83,0,0,0,114,157,0,0,0,114,224, - 0,0,0,169,5,114,158,0,0,0,114,180,0,0,0,114, - 70,0,0,0,114,222,0,0,0,218,3,101,120,99,32,32, - 32,32,32,114,31,1,0,0,114,8,0,0,0,114,8,0, - 0,0,114,9,0,0,0,218,10,103,101,116,95,115,111,117, - 114,99,101,167,3,0,0,115,26,0,0,0,10,2,2,1, - 10,1,8,4,2,128,12,253,4,1,2,1,4,255,2,1, - 2,255,10,128,2,255,115,20,0,0,0,134,5,15,0,143, - 7,33,7,150,7,29,7,157,4,33,7,162,1,33,7,122, - 23,83,111,117,114,99,101,76,111,97,100,101,114,46,103,101, - 116,95,115,111,117,114,99,101,114,142,0,0,0,41,1,218, - 9,95,111,112,116,105,109,105,122,101,99,3,0,0,0,0, - 0,0,0,1,0,0,0,9,0,0,0,67,0,0,0,115, - 22,0,0,0,116,0,160,1,116,2,124,1,124,2,100,1, - 100,2,124,3,100,3,166,6,83,0,41,5,122,130,82,101, - 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, - 114,15,1,0,0,84,41,2,218,12,100,111,110,116,95,105, - 110,104,101,114,105,116,114,118,0,0,0,78,41,3,114,175, - 0,0,0,114,14,1,0,0,218,7,99,111,109,112,105,108, - 101,169,4,114,158,0,0,0,114,45,0,0,0,114,70,0, - 0,0,114,34,1,0,0,32,32,32,32,114,37,1,0,0, - 114,8,0,0,0,114,8,0,0,0,114,9,0,0,0,218, - 14,115,111,117,114,99,101,95,116,111,95,99,111,100,101,177, - 3,0,0,115,6,0,0,0,12,5,4,1,6,255,114,11, - 0,0,0,122,27,83,111,117,114,99,101,76,111,97,100,101, - 114,46,115,111,117,114,99,101,95,116,111,95,99,111,100,101, - 99,2,0,0,0,0,0,0,0,0,0,0,0,9,0,0, - 0,67,0,0,0,115,28,2,0,0,124,0,160,0,124,1, - 161,1,125,2,100,1,125,3,100,1,125,4,100,1,125,5, - 100,2,125,6,100,3,125,7,9,0,116,1,124,2,131,1, - 125,8,110,13,35,0,4,0,116,2,144,1,121,13,1,0, - 1,0,1,0,100,1,125,8,89,0,110,147,37,0,9,0, - 124,0,160,3,124,2,161,1,125,9,110,11,35,0,4,0, - 116,4,144,1,121,12,1,0,1,0,1,0,89,0,110,129, - 37,0,116,5,124,9,100,4,25,0,131,1,125,3,9,0, - 124,0,160,6,124,8,161,1,125,10,110,11,35,0,4,0, - 116,4,144,1,121,11,1,0,1,0,1,0,89,0,110,105, - 37,0,124,1,124,8,100,5,156,2,125,11,9,0,116,7, - 124,10,124,1,124,11,131,3,125,12,116,8,124,10,131,1, - 100,6,100,1,133,2,25,0,125,13,124,12,100,7,64,0, - 100,8,107,3,125,6,124,6,114,141,124,12,100,9,64,0, - 100,8,107,3,125,7,116,9,106,10,100,10,107,3,114,140, - 124,7,115,122,116,9,106,10,100,11,107,2,114,140,124,0, - 160,6,124,2,161,1,125,4,116,9,160,11,116,12,124,4, - 161,2,125,5,116,13,124,10,124,5,124,1,124,11,131,4, - 1,0,110,10,116,14,124,10,124,3,124,9,100,12,25,0, - 124,1,124,11,131,5,1,0,110,13,35,0,4,0,116,15, - 116,16,102,2,144,1,121,10,1,0,1,0,1,0,89,0, - 110,16,37,0,116,17,160,18,100,13,124,8,124,2,161,3, - 1,0,116,19,124,13,124,1,124,8,124,2,100,14,141,4, - 83,0,124,4,100,1,117,0,114,189,124,0,160,6,124,2, - 161,1,125,4,124,0,160,20,124,4,124,2,161,2,125,14, - 116,17,160,18,100,15,124,2,161,2,1,0,116,21,106,22, - 144,1,115,7,124,8,100,1,117,1,144,1,114,7,124,3, - 100,1,117,1,144,1,114,7,124,6,114,233,124,5,100,1, - 117,0,114,226,116,9,160,11,124,4,161,1,125,5,116,23, - 124,14,124,5,124,7,131,3,125,10,110,8,116,24,124,14, - 124,3,116,25,124,4,131,1,131,3,125,10,9,0,124,0, - 160,26,124,2,124,8,124,10,161,3,1,0,124,14,83,0, - 35,0,4,0,116,2,144,1,121,9,1,0,1,0,1,0, - 89,0,124,14,83,0,37,0,124,14,83,0,119,0,119,0, - 119,0,119,0,119,0,41,16,122,190,67,111,110,99,114,101, - 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, - 32,32,32,32,32,32,32,32,78,70,84,114,215,0,0,0, - 114,203,0,0,0,114,186,0,0,0,114,3,0,0,0,114, - 0,0,0,0,114,48,0,0,0,90,5,110,101,118,101,114, - 90,6,97,108,119,97,121,115,218,4,115,105,122,101,122,13, - 123,125,32,109,97,116,99,104,101,115,32,123,125,41,3,114, - 156,0,0,0,114,145,0,0,0,114,147,0,0,0,122,19, - 99,111,100,101,32,111,98,106,101,99,116,32,102,114,111,109, - 32,123,125,41,27,114,227,0,0,0,114,132,0,0,0,114, - 117,0,0,0,114,25,1,0,0,114,83,0,0,0,114,36, - 0,0,0,114,30,1,0,0,114,194,0,0,0,218,10,109, - 101,109,111,114,121,118,105,101,119,114,207,0,0,0,90,21, - 99,104,101,99,107,95,104,97,115,104,95,98,97,115,101,100, - 95,112,121,99,115,114,201,0,0,0,218,17,95,82,65,87, - 95,77,65,71,73,67,95,78,85,77,66,69,82,114,202,0, - 0,0,114,199,0,0,0,114,157,0,0,0,114,191,0,0, - 0,114,175,0,0,0,114,190,0,0,0,114,210,0,0,0, - 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1,0,0,0,9,0,0,0,3,0,0,0,115,22,0,0, + 0,116,0,160,1,116,2,124,1,124,2,100,1,100,2,124, + 3,100,3,166,6,83,0,41,5,122,130,82,101,116,117,114, + 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, + 114,116,115,46,10,32,32,32,32,32,32,32,32,114,242,0, + 0,0,84,41,2,218,12,100,111,110,116,95,105,110,104,101, + 114,105,116,114,108,0,0,0,78,41,3,114,158,0,0,0, + 114,241,0,0,0,218,7,99,111,109,112,105,108,101,41,4, + 114,143,0,0,0,114,42,0,0,0,114,65,0,0,0,114, + 1,1,0,0,32,32,32,32,114,7,0,0,0,218,14,115, + 111,117,114,99,101,95,116,111,95,99,111,100,101,177,3,0, + 0,115,6,0,0,0,12,5,4,1,6,255,114,9,0,0, + 0,122,27,83,111,117,114,99,101,76,111,97,100,101,114,46, + 115,111,117,114,99,101,95,116,111,95,99,111,100,101,99,2, + 0,0,0,0,0,0,0,0,0,0,0,9,0,0,0,3, + 0,0,0,115,28,2,0,0,124,0,160,0,124,1,161,1, + 125,2,100,1,125,3,100,1,125,4,100,1,125,5,100,2, + 125,6,100,3,125,7,9,0,116,1,124,2,131,1,125,8, + 110,13,35,0,4,0,116,2,144,1,121,13,1,0,1,0, + 1,0,100,1,125,8,89,0,110,147,37,0,9,0,124,0, + 160,3,124,2,161,1,125,9,110,11,35,0,4,0,116,4, + 144,1,121,12,1,0,1,0,1,0,89,0,110,129,37,0, + 116,5,124,9,100,4,25,0,131,1,125,3,9,0,124,0, + 160,6,124,8,161,1,125,10,110,11,35,0,4,0,116,4, + 144,1,121,11,1,0,1,0,1,0,89,0,110,105,37,0, + 124,1,124,8,100,5,156,2,125,11,9,0,116,7,124,10, + 124,1,124,11,131,3,125,12,116,8,124,10,131,1,100,6, + 100,1,133,2,25,0,125,13,124,12,100,7,64,0,100,8, + 107,3,125,6,124,6,114,141,124,12,100,9,64,0,100,8, + 107,3,125,7,116,9,106,10,100,10,107,3,114,140,124,7, + 115,122,116,9,106,10,100,11,107,2,114,140,124,0,160,6, + 124,2,161,1,125,4,116,9,160,11,116,12,124,4,161,2, + 125,5,116,13,124,10,124,5,124,1,124,11,131,4,1,0, + 110,10,116,14,124,10,124,3,124,9,100,12,25,0,124,1, + 124,11,131,5,1,0,110,13,35,0,4,0,116,15,116,16, + 102,2,144,1,121,10,1,0,1,0,1,0,89,0,110,16, + 37,0,116,17,160,18,100,13,124,8,124,2,161,3,1,0, + 116,19,124,13,124,1,124,8,124,2,100,14,141,4,83,0, + 124,4,100,1,117,0,114,189,124,0,160,6,124,2,161,1, + 125,4,124,0,160,20,124,4,124,2,161,2,125,14,116,17, + 160,18,100,15,124,2,161,2,1,0,116,21,106,22,144,1, + 115,7,124,8,100,1,117,1,144,1,114,7,124,3,100,1, + 117,1,144,1,114,7,124,6,114,233,124,5,100,1,117,0, + 114,226,116,9,160,11,124,4,161,1,125,5,116,23,124,14, + 124,5,124,7,131,3,125,10,110,8,116,24,124,14,124,3, + 116,25,124,4,131,1,131,3,125,10,9,0,124,0,160,26, + 124,2,124,8,124,10,161,3,1,0,124,14,83,0,35,0, + 4,0,116,2,144,1,121,9,1,0,1,0,1,0,89,0, + 124,14,83,0,37,0,124,14,83,0,119,0,119,0,119,0, + 119,0,119,0,41,16,122,190,67,111,110,99,114,101,116,101, + 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, + 32,32,32,32,32,32,78,70,84,114,192,0,0,0,114,182, + 0,0,0,114,168,0,0,0,114,3,0,0,0,114,0,0, + 0,0,114,45,0,0,0,90,5,110,101,118,101,114,90,6, + 97,108,119,97,121,115,218,4,115,105,122,101,122,13,123,125, + 32,109,97,116,99,104,101,115,32,123,125,41,3,114,141,0, + 0,0,114,132,0,0,0,114,134,0,0,0,122,19,99,111, + 100,101,32,111,98,106,101,99,116,32,102,114,111,109,32,123, + 125,41,27,114,202,0,0,0,114,121,0,0,0,114,107,0, + 0,0,114,251,0,0,0,114,76,0,0,0,114,34,0,0, + 0,114,254,0,0,0,114,175,0,0,0,218,10,109,101,109, + 111,114,121,118,105,101,119,114,186,0,0,0,90,21,99,104, + 101,99,107,95,104,97,115,104,95,98,97,115,101,100,95,112, + 121,99,115,114,180,0,0,0,218,17,95,82,65,87,95,77, + 65,71,73,67,95,78,85,77,66,69,82,114,181,0,0,0, + 114,179,0,0,0,114,142,0,0,0,114,173,0,0,0,114, + 158,0,0,0,114,172,0,0,0,114,188,0,0,0,114,4, + 1,0,0,114,16,0,0,0,218,19,100,111,110,116,95,119, + 114,105,116,101,95,98,121,116,101,99,111,100,101,114,194,0, + 0,0,114,193,0,0,0,114,4,0,0,0,114,253,0,0, + 0,41,15,114,143,0,0,0,114,162,0,0,0,114,134,0, + 0,0,114,177,0,0,0,114,197,0,0,0,114,180,0,0, + 0,90,10,104,97,115,104,95,98,97,115,101,100,90,12,99, + 104,101,99,107,95,115,111,117,114,99,101,114,132,0,0,0, + 218,2,115,116,114,42,0,0,0,114,174,0,0,0,114,17, + 0,0,0,90,10,98,121,116,101,115,95,100,97,116,97,90, + 11,99,111,100,101,95,111,98,106,101,99,116,32,32,32,32, + 32,32,32,32,32,32,32,32,32,32,32,114,7,0,0,0, + 114,240,0,0,0,185,3,0,0,115,188,0,0,0,10,7, + 4,1,4,1,4,1,4,1,4,1,2,1,10,1,2,128, + 14,1,8,1,2,128,2,2,12,1,2,128,14,1,4,1, + 2,128,12,2,2,1,12,1,2,128,14,1,4,1,2,128, + 2,3,2,1,6,254,2,4,12,1,16,1,12,1,4,1, + 12,1,10,1,2,1,2,255,8,2,2,254,10,3,4,1, + 2,1,2,1,4,254,8,4,2,1,4,255,2,128,2,3, + 2,1,2,1,6,1,2,1,2,1,4,251,4,128,18,7, + 4,1,2,128,8,2,2,1,4,255,6,2,2,1,2,1, + 6,254,8,3,10,1,12,1,12,1,18,1,6,1,4,255, + 4,2,8,1,10,1,14,1,6,2,6,1,4,255,2,2, + 14,1,4,3,2,128,14,254,2,1,4,1,2,128,4,0, + 2,254,2,233,2,225,2,250,2,251,115,80,0,0,0,144, + 4,21,0,149,10,33,7,163,5,41,0,169,8,51,7,187, + 5,65,1,0,193,1,8,65,11,7,193,18,65,5,66,24, + 0,194,24,10,66,36,7,195,50,7,67,59,0,195,59,8, + 68,6,7,196,9,1,68,6,7,196,10,1,66,36,7,196, + 11,1,65,11,7,196,12,1,51,7,196,13,1,33,7,122, + 21,83,111,117,114,99,101,76,111,97,100,101,114,46,103,101, + 116,95,99,111,100,101,78,41,10,114,149,0,0,0,114,148, + 0,0,0,114,150,0,0,0,114,250,0,0,0,114,251,0, + 0,0,114,253,0,0,0,114,252,0,0,0,114,0,1,0, + 0,114,4,1,0,0,114,240,0,0,0,114,12,0,0,0, + 114,7,0,0,0,114,248,0,0,0,126,3,0,0,115,16, 0,0,0,8,0,8,2,8,8,8,14,8,10,8,7,14, - 10,12,8,114,11,0,0,0,114,22,1,0,0,99,0,0, + 10,12,8,114,9,0,0,0,114,248,0,0,0,99,0,0, 0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0, 0,0,115,92,0,0,0,101,0,90,1,100,0,90,2,100, 1,90,3,100,2,100,3,132,0,90,4,100,4,100,5,132, @@ -1569,914 +1514,860 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 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, - 0,0,0,0,0,0,0,2,0,0,0,67,0,0,0,115, + 0,0,0,0,0,0,0,2,0,0,0,3,0,0,0,115, 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, - 101,114,46,78,114,203,0,0,0,169,3,114,158,0,0,0, - 114,180,0,0,0,114,70,0,0,0,32,32,32,114,46,1, - 0,0,114,8,0,0,0,114,8,0,0,0,114,9,0,0, - 0,114,7,1,0,0,19,4,0,0,115,4,0,0,0,6, - 3,10,1,114,11,0,0,0,122,19,70,105,108,101,76,111, - 97,100,101,114,46,95,95,105,110,105,116,95,95,99,2,0, - 0,0,0,0,0,0,0,0,0,0,2,0,0,0,67,0, - 0,0,243,24,0,0,0,124,0,106,0,124,1,106,0,107, - 2,111,11,124,0,106,1,124,1,106,1,107,2,83,0,114, - 76,0,0,0,169,2,218,9,95,95,99,108,97,115,115,95, - 95,114,171,0,0,0,169,2,114,158,0,0,0,90,5,111, - 116,104,101,114,32,32,114,50,1,0,0,114,8,0,0,0, - 114,8,0,0,0,114,9,0,0,0,218,6,95,95,101,113, - 95,95,25,4,0,0,243,6,0,0,0,12,1,10,1,2, - 255,114,11,0,0,0,122,17,70,105,108,101,76,111,97,100, - 101,114,46,95,95,101,113,95,95,99,1,0,0,0,0,0, - 0,0,0,0,0,0,3,0,0,0,67,0,0,0,243,20, - 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32,32,128,114,20,1,0,0,169,1,114,49,1,0,0,114, - 8,0,0,0,114,9,0,0,0,114,21,1,0,0,32,4, - 0,0,115,2,0,0,0,16,10,114,11,0,0,0,122,22, - 70,105,108,101,76,111,97,100,101,114,46,108,111,97,100,95, - 109,111,100,117,108,101,99,2,0,0,0,0,0,0,0,0, - 0,0,0,1,0,0,0,67,0,0,0,243,6,0,0,0, - 124,0,106,0,83,0,169,2,122,58,82,101,116,117,114,110, - 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, - 100,101,114,46,78,114,78,0,0,0,114,20,1,0,0,32, - 32,114,20,1,0,0,114,8,0,0,0,114,8,0,0,0, - 114,9,0,0,0,114,227,0,0,0,44,4,0,0,243,2, - 0,0,0,6,3,114,11,0,0,0,122,23,70,105,108,101, - 76,111,97,100,101,114,46,103,101,116,95,102,105,108,101,110, - 97,109,101,99,2,0,0,0,0,0,0,0,0,0,0,0, - 9,0,0,0,67,0,0,0,115,136,0,0,0,116,0,124, - 0,116,1,116,2,102,2,131,2,114,38,116,3,160,4,116, - 5,124,1,131,1,161,1,53,0,125,2,124,2,160,6,161, - 0,2,0,100,1,4,0,4,0,131,3,1,0,83,0,35, - 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0,0,114,129,1,0,0,169,2,114,156,0,0,0,218,6, - 102,105,110,100,101,114,32,32,114,133,1,0,0,114,8,0, - 0,0,114,8,0,0,0,114,9,0,0,0,114,129,1,0, - 0,47,5,0,0,115,14,0,0,0,22,4,8,1,10,1, - 10,1,8,1,2,128,4,252,114,11,0,0,0,122,28,80, - 97,116,104,70,105,110,100,101,114,46,105,110,118,97,108,105, - 100,97,116,101,95,99,97,99,104,101,115,99,1,0,0,0, - 0,0,0,0,0,0,0,0,9,0,0,0,67,0,0,0, - 115,78,0,0,0,116,0,106,1,100,1,117,1,114,14,116, - 0,106,1,115,14,116,2,160,3,100,2,116,4,161,2,1, - 0,116,0,106,1,68,0,93,18,125,1,9,0,124,1,124, - 0,131,1,2,0,1,0,83,0,35,0,4,0,116,5,121, - 38,1,0,1,0,1,0,89,0,113,17,37,0,100,1,83, - 0,119,0,41,3,122,46,83,101,97,114,99,104,32,115,121, - 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, - 6,114,18,0,0,0,218,10,112,97,116,104,95,104,111,111, - 107,115,114,109,0,0,0,114,110,0,0,0,114,178,0,0, - 0,114,157,0,0,0,169,2,114,70,0,0,0,90,4,104, - 111,111,107,32,32,114,136,1,0,0,114,8,0,0,0,114, - 8,0,0,0,114,9,0,0,0,218,11,95,112,97,116,104, - 95,104,111,111,107,115,57,5,0,0,115,22,0,0,0,16, - 3,12,1,10,1,2,1,12,1,2,128,12,1,4,1,2, - 128,4,2,2,253,115,12,0,0,0,148,3,26,2,154,7, - 35,9,166,1,35,9,122,22,80,97,116,104,70,105,110,100, - 101,114,46,95,112,97,116,104,95,104,111,111,107,115,99,2, - 0,0,0,0,0,0,0,0,0,0,0,8,0,0,0,67, - 0,0,0,115,104,0,0,0,124,1,100,1,107,2,114,21, - 9,0,116,0,160,1,161,0,125,1,110,11,35,0,4,0, - 116,2,121,51,1,0,1,0,1,0,89,0,100,2,83,0, - 37,0,9,0,116,3,106,4,124,1,25,0,125,2,124,2, - 83,0,35,0,4,0,116,5,121,50,1,0,1,0,1,0, - 124,0,160,6,124,1,161,1,125,2,124,2,116,3,106,4, - 124,1,60,0,89,0,124,2,83,0,37,0,119,0,119,0, - 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, - 32,32,32,32,32,32,114,12,0,0,0,78,41,7,114,21, - 0,0,0,114,90,0,0,0,218,17,70,105,108,101,78,111, - 116,70,111,117,110,100,69,114,114,111,114,114,18,0,0,0, - 114,131,1,0,0,218,8,75,101,121,69,114,114,111,114,114, - 137,1,0,0,169,3,114,247,0,0,0,114,70,0,0,0, - 114,134,1,0,0,32,32,32,114,140,1,0,0,114,8,0, - 0,0,114,8,0,0,0,114,9,0,0,0,218,20,95,112, - 97,116,104,95,105,109,112,111,114,116,101,114,95,99,97,99, - 104,101,70,5,0,0,115,36,0,0,0,8,8,2,1,10, - 1,2,128,12,1,6,3,2,128,2,1,10,1,4,4,2, - 128,12,253,10,1,12,1,4,1,2,128,2,253,2,250,115, - 24,0,0,0,133,4,10,0,138,7,20,7,150,5,29,0, - 157,17,49,7,178,1,49,7,179,1,20,7,122,31,80,97, - 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, - 0,0,0,0,0,0,0,0,0,0,4,0,0,0,67,0, - 0,0,115,138,0,0,0,116,0,124,2,100,1,131,2,114, - 27,116,1,160,2,124,2,161,1,155,0,100,2,157,2,125, - 3,116,3,160,4,124,3,116,5,161,2,1,0,124,2,160, - 6,124,1,161,1,92,2,125,4,125,5,110,21,116,1,160, - 2,124,2,161,1,155,0,100,3,157,2,125,3,116,3,160, - 4,124,3,116,5,161,2,1,0,124,2,160,7,124,1,161, - 1,125,4,103,0,125,5,124,4,100,0,117,1,114,58,116, - 1,160,8,124,1,124,4,161,2,83,0,116,1,160,9,124, - 1,100,0,161,2,125,6,124,5,124,6,95,10,124,6,83, - 0,41,4,78,114,177,0,0,0,122,53,46,102,105,110,100, - 95,115,112,101,99,40,41,32,110,111,116,32,102,111,117,110, - 100,59,32,102,97,108,108,105,110,103,32,98,97,99,107,32, - 116,111,32,102,105,110,100,95,108,111,97,100,101,114,40,41, - 122,53,46,102,105,110,100,95,115,112,101,99,40,41,32,110, - 111,116,32,102,111,117,110,100,59,32,102,97,108,108,105,110, - 103,32,98,97,99,107,32,116,111,32,102,105,110,100,95,109, - 111,100,117,108,101,40,41,41,11,114,168,0,0,0,114,175, - 0,0,0,90,12,95,111,98,106,101,99,116,95,110,97,109, - 101,114,109,0,0,0,114,110,0,0,0,114,178,0,0,0, - 114,177,0,0,0,114,0,1,0,0,114,250,0,0,0,114, - 231,0,0,0,114,226,0,0,0,169,7,114,247,0,0,0, - 114,180,0,0,0,114,134,1,0,0,114,183,0,0,0,114, - 181,0,0,0,114,182,0,0,0,114,235,0,0,0,32,32, - 32,32,32,32,32,114,142,1,0,0,114,8,0,0,0,114, - 8,0,0,0,114,9,0,0,0,218,16,95,108,101,103,97, - 99,121,95,103,101,116,95,115,112,101,99,92,5,0,0,115, - 26,0,0,0,10,4,16,1,12,2,16,1,16,2,12,2, - 10,1,4,1,8,1,12,1,12,1,6,1,4,1,114,11, - 0,0,0,122,27,80,97,116,104,70,105,110,100,101,114,46, - 95,108,101,103,97,99,121,95,103,101,116,95,115,112,101,99, - 78,99,4,0,0,0,0,0,0,0,0,0,0,0,5,0, - 0,0,67,0,0,0,115,166,0,0,0,103,0,125,4,124, - 2,68,0,93,67,125,5,116,0,124,5,116,1,116,2,102, - 2,131,2,115,14,113,4,124,0,160,3,124,5,161,1,125, - 6,124,6,100,1,117,1,114,71,116,4,124,6,100,2,131, - 2,114,35,124,6,160,5,124,1,124,3,161,2,125,7,110, - 6,124,0,160,6,124,1,124,6,161,2,125,7,124,7,100, - 1,117,0,114,46,113,4,124,7,106,7,100,1,117,1,114, - 55,124,7,2,0,1,0,83,0,124,7,106,8,125,8,124, - 8,100,1,117,0,114,66,116,9,100,3,131,1,130,1,124, - 4,160,10,124,8,161,1,1,0,113,4,116,11,160,12,124, - 1,100,1,161,2,125,7,124,4,124,7,95,8,124,7,83, - 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, - 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0,114,163,0,0,0,114,201,0,0,0,114,142,0,0,0, + 114,190,0,0,0,114,158,0,0,0,114,206,0,0,0,41, + 9,114,220,0,0,0,114,162,0,0,0,114,65,0,0,0, + 114,224,0,0,0,218,14,110,97,109,101,115,112,97,99,101, + 95,112,97,116,104,90,5,101,110,116,114,121,114,79,1,0, + 0,114,209,0,0,0,114,164,0,0,0,32,32,32,32,32, + 32,32,32,32,114,7,0,0,0,218,9,95,103,101,116,95, + 115,112,101,99,113,5,0,0,115,42,0,0,0,4,5,8, + 1,14,1,2,1,10,1,8,1,10,1,14,1,12,2,8, + 1,2,1,10,1,8,1,6,1,8,1,8,1,10,5,2, + 128,12,2,6,1,4,1,114,9,0,0,0,122,20,80,97, + 116,104,70,105,110,100,101,114,46,95,103,101,116,95,115,112, + 101,99,99,4,0,0,0,0,0,0,0,0,0,0,0,5, + 0,0,0,3,0,0,0,115,94,0,0,0,124,2,100,1, + 117,0,114,7,116,0,106,1,125,2,124,0,160,2,124,1, + 124,2,124,3,161,3,125,4,124,4,100,1,117,0,114,20, + 100,1,83,0,124,4,106,3,100,1,117,0,114,45,124,4, + 106,4,125,5,124,5,114,43,100,1,124,4,95,5,116,6, + 124,1,124,5,124,0,106,2,131,3,124,4,95,4,124,4, + 83,0,100,1,83,0,124,4,83,0,41,2,122,141,84,114, + 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, + 101,46,10,32,32,32,32,32,32,32,32,78,41,7,114,16, + 0,0,0,114,65,0,0,0,114,88,1,0,0,114,163,0, + 0,0,114,201,0,0,0,114,204,0,0,0,114,44,1,0, + 0,41,6,114,220,0,0,0,114,162,0,0,0,114,65,0, + 0,0,114,224,0,0,0,114,209,0,0,0,114,87,1,0, + 0,32,32,32,32,32,32,114,7,0,0,0,114,225,0,0, + 0,145,5,0,0,115,26,0,0,0,8,6,6,1,14,1, + 8,1,4,1,10,1,6,1,4,1,6,3,16,1,4,1, + 4,2,4,2,114,9,0,0,0,122,20,80,97,116,104,70, + 105,110,100,101,114,46,102,105,110,100,95,115,112,101,99,99, + 3,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0, + 3,0,0,0,115,42,0,0,0,116,0,160,1,100,1,116, + 2,161,2,1,0,124,0,160,3,124,1,124,2,161,2,125, + 3,124,3,100,2,117,0,114,18,100,2,83,0,124,3,106, + 4,83,0,41,3,122,170,102,105,110,100,32,116,104,101,32, + 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, + 32,122,101,80,97,116,104,70,105,110,100,101,114,46,102,105, + 110,100,95,109,111,100,117,108,101,40,41,32,105,115,32,100, + 101,112,114,101,99,97,116,101,100,32,97,110,100,32,115,108, + 97,116,101,100,32,102,111,114,32,114,101,109,111,118,97,108, + 32,105,110,32,80,121,116,104,111,110,32,51,46,49,50,59, + 32,117,115,101,32,102,105,110,100,95,115,112,101,99,40,41, + 32,105,110,115,116,101,97,100,78,114,226,0,0,0,114,227, + 0,0,0,32,32,32,32,114,7,0,0,0,114,228,0,0, + 0,169,5,0,0,115,14,0,0,0,6,8,2,2,4,254, + 12,3,8,1,4,1,6,1,114,9,0,0,0,122,22,80, + 97,116,104,70,105,110,100,101,114,46,102,105,110,100,95,109, + 111,100,117,108,101,99,0,0,0,0,0,0,0,0,0,0, + 0,0,4,0,0,0,15,0,0,0,115,28,0,0,0,100, + 1,100,2,108,0,109,1,125,2,1,0,124,2,106,2,124, + 0,105,0,124,1,164,1,142,1,83,0,41,4,97,32,1, + 0,0,10,32,32,32,32,32,32,32,32,70,105,110,100,32, + 100,105,115,116,114,105,98,117,116,105,111,110,115,46,10,10, + 32,32,32,32,32,32,32,32,82,101,116,117,114,110,32,97, + 110,32,105,116,101,114,97,98,108,101,32,111,102,32,97,108, + 108,32,68,105,115,116,114,105,98,117,116,105,111,110,32,105, + 110,115,116,97,110,99,101,115,32,99,97,112,97,98,108,101, + 32,111,102,10,32,32,32,32,32,32,32,32,108,111,97,100, + 105,110,103,32,116,104,101,32,109,101,116,97,100,97,116,97, + 32,102,111,114,32,112,97,99,107,97,103,101,115,32,109,97, + 116,99,104,105,110,103,32,96,96,99,111,110,116,101,120,116, + 46,110,97,109,101,96,96,10,32,32,32,32,32,32,32,32, + 40,111,114,32,97,108,108,32,110,97,109,101,115,32,105,102, + 32,96,96,78,111,110,101,96,96,32,105,110,100,105,99,97, + 116,101,100,41,32,97,108,111,110,103,32,116,104,101,32,112, + 97,116,104,115,32,105,110,32,116,104,101,32,108,105,115,116, + 10,32,32,32,32,32,32,32,32,111,102,32,100,105,114,101, + 99,116,111,114,105,101,115,32,96,96,99,111,110,116,101,120, + 116,46,112,97,116,104,96,96,46,10,32,32,32,32,32,32, + 32,32,114,0,0,0,0,41,1,218,18,77,101,116,97,100, + 97,116,97,80,97,116,104,70,105,110,100,101,114,78,41,3, + 90,18,105,109,112,111,114,116,108,105,98,46,109,101,116,97, + 100,97,116,97,114,89,1,0,0,218,18,102,105,110,100,95, + 100,105,115,116,114,105,98,117,116,105,111,110,115,41,3,114, + 144,0,0,0,114,145,0,0,0,114,89,1,0,0,32,32, + 32,114,7,0,0,0,114,90,1,0,0,185,5,0,0,115, + 4,0,0,0,12,10,16,1,114,9,0,0,0,122,29,80, + 97,116,104,70,105,110,100,101,114,46,102,105,110,100,95,100, + 105,115,116,114,105,98,117,116,105,111,110,115,114,69,0,0, + 0,114,229,0,0,0,41,14,114,149,0,0,0,114,148,0, + 0,0,114,150,0,0,0,114,151,0,0,0,114,232,0,0, + 0,114,75,1,0,0,114,81,1,0,0,114,233,0,0,0, + 114,84,1,0,0,114,85,1,0,0,114,88,1,0,0,114, + 225,0,0,0,114,228,0,0,0,114,90,1,0,0,114,12, + 0,0,0,114,7,0,0,0,114,74,1,0,0,43,5,0, 0,115,36,0,0,0,8,0,4,2,2,2,10,1,2,9, 10,1,2,12,10,1,2,21,10,1,2,20,12,1,2,31, - 12,1,2,23,12,1,2,15,14,1,114,11,0,0,0,114, - 128,1,0,0,99,0,0,0,0,0,0,0,0,0,0,0, - 0,3,0,0,0,64,0,0,0,115,90,0,0,0,101,0, + 12,1,2,23,12,1,2,15,14,1,114,9,0,0,0,114, + 74,1,0,0,99,0,0,0,0,0,0,0,0,0,0,0, + 0,3,0,0,0,0,0,0,0,115,90,0,0,0,101,0, 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, @@ -2515,193 +2406,184 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 32,114,101,99,111,103,110,105,122,101,115,46,99,1,0,0, 0,0,0,0,0,0,0,0,0,3,0,0,0,51,0,0, 0,115,24,0,0,0,129,0,124,0,93,7,125,1,124,1, - 136,0,102,2,86,0,1,0,113,2,100,0,83,0,114,76, - 0,0,0,114,8,0,0,0,41,3,114,6,0,0,0,114, - 86,1,0,0,114,181,0,0,0,32,32,128,114,88,1,0, - 0,169,1,114,181,0,0,0,114,8,0,0,0,114,9,0, - 0,0,114,10,0,0,0,214,5,0,0,115,4,0,0,0, - 6,128,18,0,114,11,0,0,0,122,38,70,105,108,101,70, - 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, - 62,114,107,0,0,0,114,142,0,0,0,78,41,11,114,212, - 0,0,0,218,8,95,108,111,97,100,101,114,115,114,70,0, - 0,0,114,95,0,0,0,114,72,0,0,0,114,21,0,0, - 0,114,90,0,0,0,218,11,95,112,97,116,104,95,109,116, - 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, - 112,97,116,104,95,99,97,99,104,101,41,6,114,158,0,0, - 0,114,70,0,0,0,218,14,108,111,97,100,101,114,95,100, - 101,116,97,105,108,115,218,7,108,111,97,100,101,114,115,114, - 237,0,0,0,114,181,0,0,0,32,32,32,32,32,64,41, - 5,114,158,0,0,0,114,70,0,0,0,114,159,1,0,0, - 114,160,1,0,0,114,237,0,0,0,114,8,0,0,0,114, - 153,1,0,0,114,9,0,0,0,114,7,1,0,0,208,5, - 0,0,115,20,0,0,0,4,4,12,1,26,1,6,1,10, - 2,10,1,18,1,6,1,8,1,12,1,114,11,0,0,0, - 122,19,70,105,108,101,70,105,110,100,101,114,46,95,95,105, - 110,105,116,95,95,99,1,0,0,0,0,0,0,0,0,0, - 0,0,2,0,0,0,67,0,0,0,115,10,0,0,0,100, - 1,124,0,95,0,100,2,83,0,41,3,122,31,73,110,118, - 97,108,105,100,97,116,101,32,116,104,101,32,100,105,114,101, - 99,116,111,114,121,32,109,116,105,109,101,46,114,142,0,0, - 0,78,41,1,114,155,1,0,0,114,56,1,0,0,32,114, - 56,1,0,0,114,8,0,0,0,114,8,0,0,0,114,9, - 0,0,0,114,129,1,0,0,224,5,0,0,114,89,0,0, - 0,114,11,0,0,0,122,28,70,105,108,101,70,105,110,100, - 101,114,46,105,110,118,97,108,105,100,97,116,101,95,99,97, - 99,104,101,115,99,2,0,0,0,0,0,0,0,0,0,0, - 0,4,0,0,0,67,0,0,0,115,54,0,0,0,116,0, - 160,1,100,1,116,2,161,2,1,0,124,0,160,3,124,1, - 161,1,125,2,124,2,100,2,117,0,114,19,100,2,103,0, - 102,2,83,0,124,2,106,4,124,2,106,5,112,25,103,0, - 102,2,83,0,41,3,122,197,84,114,121,32,116,111,32,102, - 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, - 97,100,46,10,10,32,32,32,32,32,32,32,32,122,101,70, - 105,108,101,70,105,110,100,101,114,46,102,105,110,100,95,108, - 111,97,100,101,114,40,41,32,105,115,32,100,101,112,114,101, - 99,97,116,101,100,32,97,110,100,32,115,108,97,116,101,100, - 32,102,111,114,32,114,101,109,111,118,97,108,32,105,110,32, - 80,121,116,104,111,110,32,51,46,49,50,59,32,117,115,101, - 32,102,105,110,100,95,115,112,101,99,40,41,32,105,110,115, - 116,101,97,100,78,41,6,114,109,0,0,0,114,110,0,0, - 0,114,111,0,0,0,114,253,0,0,0,114,181,0,0,0, - 114,226,0,0,0,169,3,114,158,0,0,0,114,180,0,0, - 0,114,235,0,0,0,32,32,32,114,161,1,0,0,114,8, - 0,0,0,114,8,0,0,0,114,9,0,0,0,114,177,0, - 0,0,230,5,0,0,115,14,0,0,0,6,7,2,2,4, - 254,10,3,8,1,8,1,16,1,114,11,0,0,0,122,22, - 70,105,108,101,70,105,110,100,101,114,46,102,105,110,100,95, - 108,111,97,100,101,114,99,6,0,0,0,0,0,0,0,0, - 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, - 124,6,124,4,100,1,141,4,83,0,41,2,78,114,225,0, - 0,0,41,1,114,238,0,0,0,169,7,114,158,0,0,0, - 114,236,0,0,0,114,180,0,0,0,114,70,0,0,0,90, - 4,115,109,115,108,114,252,0,0,0,114,181,0,0,0,32, - 32,32,32,32,32,32,114,162,1,0,0,114,8,0,0,0, - 114,8,0,0,0,114,9,0,0,0,114,147,1,0,0,245, - 5,0,0,115,8,0,0,0,10,1,8,1,2,1,6,255, - 114,11,0,0,0,122,20,70,105,108,101,70,105,110,100,101, - 114,46,95,103,101,116,95,115,112,101,99,78,99,3,0,0, - 0,0,0,0,0,0,0,0,0,9,0,0,0,67,0,0, - 0,115,126,1,0,0,100,1,125,3,124,1,160,0,100,2, - 161,1,100,3,25,0,125,4,9,0,116,1,124,0,106,2, - 112,17,116,3,160,4,161,0,131,1,106,5,125,5,110,12, - 35,0,4,0,116,6,121,190,1,0,1,0,1,0,100,4, - 125,5,89,0,110,1,37,0,124,5,124,0,106,7,107,3, - 114,45,124,0,160,8,161,0,1,0,124,5,124,0,95,7, - 116,9,131,0,114,56,124,0,106,10,125,6,124,4,160,11, - 161,0,125,7,110,5,124,0,106,12,125,6,124,4,125,7, - 124,7,124,6,118,0,114,108,116,13,124,0,106,2,124,4, - 131,2,125,8,124,0,106,14,68,0,93,29,92,2,125,9, - 125,10,100,5,124,9,23,0,125,11,116,13,124,8,124,11, - 131,2,125,12,116,15,124,12,131,1,114,103,124,0,160,16, - 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32,105,102,32,110,111,116,32,102,111,117,110,100,46,10,32, - 32,32,32,32,32,32,32,70,114,107,0,0,0,114,48,0, - 0,0,114,142,0,0,0,114,7,1,0,0,78,122,9,116, - 114,121,105,110,103,32,123,125,41,1,90,9,118,101,114,98, - 111,115,105,116,121,122,25,112,111,115,115,105,98,108,101,32, - 110,97,109,101,115,112,97,99,101,32,102,111,114,32,123,125, - 41,23,114,114,0,0,0,114,82,0,0,0,114,70,0,0, - 0,114,21,0,0,0,114,90,0,0,0,114,72,1,0,0, - 114,83,0,0,0,114,155,1,0,0,218,11,95,102,105,108, - 108,95,99,97,99,104,101,114,24,0,0,0,114,158,1,0, - 0,114,143,0,0,0,114,157,1,0,0,114,72,0,0,0, - 114,154,1,0,0,114,88,0,0,0,114,147,1,0,0,114, - 91,0,0,0,114,121,0,0,0,114,175,0,0,0,114,190, - 0,0,0,114,231,0,0,0,114,226,0,0,0,169,14,114, - 158,0,0,0,114,180,0,0,0,114,252,0,0,0,90,12, - 105,115,95,110,97,109,101,115,112,97,99,101,90,11,116,97, - 105,108,95,109,111,100,117,108,101,114,215,0,0,0,90,5, - 99,97,99,104,101,90,12,99,97,99,104,101,95,109,111,100, - 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104,0,0,0,114,75,0,0,0,114,65,0,0,0,114,19, + 0,0,0,114,82,0,0,0,114,33,1,0,0,114,76,0, + 0,0,114,93,1,0,0,218,11,95,102,105,108,108,95,99, + 97,99,104,101,114,22,0,0,0,114,96,1,0,0,114,131, + 0,0,0,114,95,1,0,0,114,67,0,0,0,114,92,1, + 0,0,114,80,0,0,0,114,88,1,0,0,114,83,0,0, + 0,114,111,0,0,0,114,158,0,0,0,114,172,0,0,0, + 114,206,0,0,0,114,201,0,0,0,41,14,114,143,0,0, + 0,114,162,0,0,0,114,224,0,0,0,90,12,105,115,95, + 110,97,109,101,115,112,97,99,101,90,11,116,97,105,108,95, + 109,111,100,117,108,101,114,192,0,0,0,90,5,99,97,99, + 104,101,90,12,99,97,99,104,101,95,109,111,100,117,108,101, + 90,9,98,97,115,101,95,112,97,116,104,114,41,1,0,0, + 114,210,0,0,0,90,13,105,110,105,116,95,102,105,108,101, + 110,97,109,101,90,9,102,117,108,108,95,112,97,116,104,114, + 209,0,0,0,32,32,32,32,32,32,32,32,32,32,32,32, + 32,32,114,7,0,0,0,114,225,0,0,0,250,5,0,0, + 115,94,0,0,0,4,5,14,1,2,1,22,1,2,128,12, + 1,8,1,2,128,10,1,8,1,6,1,6,2,6,1,10, + 1,6,2,4,1,8,2,12,1,14,1,8,1,10,1,8, + 1,24,1,2,255,8,5,14,2,2,1,18,1,2,128,12, + 1,8,1,2,128,16,1,12,1,8,1,10,1,4,1,8, + 255,2,128,4,2,12,1,12,1,8,1,4,1,4,1,2, + 244,2,228,115,31,0,0,0,138,10,21,0,149,9,32,7, + 193,52,8,65,61,2,193,61,7,66,8,9,194,61,1,66, + 8,9,194,62,1,32,7,122,20,70,105,108,101,70,105,110, + 100,101,114,46,102,105,110,100,95,115,112,101,99,99,1,0, + 0,0,0,0,0,0,0,0,0,0,10,0,0,0,3,0, + 0,0,115,194,0,0,0,124,0,106,0,125,1,9,0,116, + 1,160,2,124,1,112,11,116,1,160,3,161,0,161,1,125, + 2,110,15,35,0,4,0,116,4,116,5,116,6,102,3,121, + 96,1,0,1,0,1,0,103,0,125,2,89,0,110,1,37, + 0,116,7,106,8,160,9,100,1,161,1,115,41,116,10,124, + 2,131,1,124,0,95,11,110,37,116,10,131,0,125,3,124, + 2,68,0,93,28,125,4,124,4,160,12,100,2,161,1,92, + 3,125,5,125,6,125,7,124,6,114,67,100,3,160,13,124, + 5,124,7,160,14,161,0,161,2,125,8,110,2,124,5,125, + 8,124,3,160,15,124,8,161,1,1,0,113,46,124,3,124, + 0,95,11,116,7,106,8,160,9,116,16,161,1,114,94,100, + 4,100,5,132,0,124,2,68,0,131,1,124,0,95,17,100, + 6,83,0,100,6,83,0,119,0,41,7,122,68,70,105,108, + 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, + 46,114,15,0,0,0,114,97,0,0,0,114,88,0,0,0, + 99,1,0,0,0,0,0,0,0,0,0,0,0,4,0,0, + 0,19,0,0,0,115,20,0,0,0,104,0,124,0,93,6, + 125,1,124,1,160,0,161,0,146,2,113,2,83,0,114,12, + 0,0,0,41,1,114,131,0,0,0,41,2,114,5,0,0, + 0,90,2,102,110,32,32,114,7,0,0,0,114,14,0,0, + 0,74,6,0,0,115,2,0,0,0,20,0,114,9,0,0, + 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, + 65,0,0,0,114,19,0,0,0,90,7,108,105,115,116,100, + 105,114,114,82,0,0,0,114,82,1,0,0,218,15,80,101, + 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, + 114,114,16,0,0,0,114,26,0,0,0,114,27,0,0,0, + 114,94,1,0,0,114,95,1,0,0,114,126,0,0,0,114, + 89,0,0,0,114,131,0,0,0,218,3,97,100,100,114,28, + 0,0,0,114,96,1,0,0,41,9,114,143,0,0,0,114, + 65,0,0,0,90,8,99,111,110,116,101,110,116,115,90,21, + 108,111,119,101,114,95,115,117,102,102,105,120,95,99,111,110, + 116,101,110,116,115,114,67,1,0,0,114,141,0,0,0,114, + 51,1,0,0,114,41,1,0,0,90,8,110,101,119,95,110, + 97,109,101,32,32,32,32,32,32,32,32,32,114,7,0,0, + 0,114,98,1,0,0,45,6,0,0,115,42,0,0,0,6, 2,2,1,20,1,2,128,18,1,8,3,2,128,12,3,12, 1,6,7,8,1,16,1,4,1,18,1,4,2,12,1,6, 1,12,1,20,1,4,255,2,233,115,13,0,0,0,132,9, @@ -2736,160 +2618,151 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 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, - 115,117,112,112,111,114,116,101,100,114,78,0,0,0,78,41, - 2,114,91,0,0,0,114,157,0,0,0,41,3,114,70,0, - 0,0,114,247,0,0,0,114,159,1,0,0,32,128,128,114, - 78,0,0,0,169,2,114,247,0,0,0,114,159,1,0,0, - 114,8,0,0,0,114,9,0,0,0,218,24,112,97,116,104, - 95,104,111,111,107,95,102,111,114,95,70,105,108,101,70,105, - 110,100,101,114,86,6,0,0,115,6,0,0,0,8,2,12, - 1,16,1,114,11,0,0,0,122,54,70,105,108,101,70,105, - 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, - 78,114,8,0,0,0,41,5,114,247,0,0,0,114,159,1, - 0,0,114,171,1,0,0,114,247,0,0,0,114,159,1,0, - 0,96,96,32,64,64,41,3,114,247,0,0,0,114,159,1, - 0,0,114,171,1,0,0,114,8,0,0,0,114,170,1,0, - 0,114,9,0,0,0,218,9,112,97,116,104,95,104,111,111, - 107,76,6,0,0,115,4,0,0,0,14,10,4,6,114,11, - 0,0,0,122,20,70,105,108,101,70,105,110,100,101,114,46, - 112,97,116,104,95,104,111,111,107,99,1,0,0,0,0,0, - 0,0,0,0,0,0,3,0,0,0,67,0,0,0,114,116, - 1,0,0,41,2,78,122,16,70,105,108,101,70,105,110,100, - 101,114,40,123,33,114,125,41,41,2,114,98,0,0,0,114, - 70,0,0,0,114,56,1,0,0,32,114,56,1,0,0,114, - 8,0,0,0,114,8,0,0,0,114,9,0,0,0,114,117, - 1,0,0,94,6,0,0,114,108,1,0,0,114,11,0,0, + 115,117,112,112,111,114,116,101,100,114,74,0,0,0,78,41, + 2,114,83,0,0,0,114,142,0,0,0,41,3,114,65,0, + 0,0,114,220,0,0,0,114,97,1,0,0,32,128,128,114, + 7,0,0,0,218,24,112,97,116,104,95,104,111,111,107,95, + 102,111,114,95,70,105,108,101,70,105,110,100,101,114,86,6, + 0,0,115,6,0,0,0,8,2,12,1,16,1,114,9,0, + 0,0,122,54,70,105,108,101,70,105,110,100,101,114,46,112, + 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, + 70,105,108,101,70,105,110,100,101,114,78,114,12,0,0,0, + 41,5,114,220,0,0,0,114,97,1,0,0,114,102,1,0, + 0,114,220,0,0,0,114,97,1,0,0,96,96,32,64,64, + 114,7,0,0,0,218,9,112,97,116,104,95,104,111,111,107, + 76,6,0,0,115,4,0,0,0,14,10,4,6,114,9,0, + 0,0,122,20,70,105,108,101,70,105,110,100,101,114,46,112, + 97,116,104,95,104,111,111,107,99,1,0,0,0,0,0,0, + 0,0,0,0,0,3,0,0,0,3,0,0,0,114,64,1, + 0,0,41,2,78,122,16,70,105,108,101,70,105,110,100,101, + 114,40,123,33,114,125,41,41,2,114,89,0,0,0,114,65, + 0,0,0,114,20,1,0,0,32,114,7,0,0,0,114,65, + 1,0,0,94,6,0,0,114,58,1,0,0,114,9,0,0, 0,122,19,70,105,108,101,70,105,110,100,101,114,46,95,95, - 114,101,112,114,95,95,114,76,0,0,0,41,15,114,165,0, - 0,0,114,164,0,0,0,114,166,0,0,0,114,167,0,0, - 0,114,7,1,0,0,114,129,1,0,0,114,184,0,0,0, - 114,0,1,0,0,114,177,0,0,0,114,147,1,0,0,114, - 253,0,0,0,114,163,1,0,0,114,5,1,0,0,114,172, - 1,0,0,114,117,1,0,0,114,8,0,0,0,114,8,0, - 0,0,114,8,0,0,0,114,8,0,0,0,114,9,0,0, - 0,114,152,1,0,0,199,5,0,0,115,24,0,0,0,8, - 0,4,2,8,7,8,16,4,4,8,2,8,15,10,5,8, - 51,2,31,10,1,12,17,114,11,0,0,0,114,152,1,0, - 0,99,4,0,0,0,0,0,0,0,0,0,0,0,8,0, - 0,0,67,0,0,0,115,146,0,0,0,124,0,160,0,100, - 1,161,1,125,4,124,0,160,0,100,2,161,1,125,5,124, - 4,115,33,124,5,114,18,124,5,106,1,125,4,110,15,124, - 2,124,3,107,2,114,28,116,2,124,1,124,2,131,2,125, - 4,110,5,116,3,124,1,124,2,131,2,125,4,124,5,115, - 42,116,4,124,1,124,2,124,4,100,3,141,3,125,5,9, - 0,124,5,124,0,100,2,60,0,124,4,124,0,100,1,60, - 0,124,2,124,0,100,4,60,0,124,3,124,0,100,5,60, - 0,100,0,83,0,35,0,4,0,116,5,121,72,1,0,1, - 0,1,0,89,0,100,0,83,0,37,0,119,0,41,6,78, - 218,10,95,95,108,111,97,100,101,114,95,95,218,8,95,95, - 115,112,101,99,95,95,114,153,1,0,0,90,8,95,95,102, - 105,108,101,95,95,90,10,95,95,99,97,99,104,101,100,95, - 95,41,6,218,3,103,101,116,114,181,0,0,0,114,81,1, - 0,0,114,71,1,0,0,114,238,0,0,0,218,9,69,120, - 99,101,112,116,105,111,110,169,6,90,2,110,115,114,156,0, - 0,0,90,8,112,97,116,104,110,97,109,101,90,9,99,112, - 97,116,104,110,97,109,101,114,181,0,0,0,114,235,0,0, - 0,32,32,32,32,32,32,114,177,1,0,0,114,8,0,0, - 0,114,8,0,0,0,114,9,0,0,0,218,14,95,102,105, - 120,95,117,112,95,109,111,100,117,108,101,100,6,0,0,115, - 40,0,0,0,10,2,10,1,4,1,4,1,8,1,8,1, - 12,1,10,2,4,1,14,1,2,1,8,1,8,1,8,1, - 12,1,2,128,12,1,6,2,2,128,2,254,115,15,0,0, - 0,171,16,61,0,189,7,65,7,7,193,8,1,65,7,7, - 114,178,1,0,0,99,0,0,0,0,0,0,0,0,0,0, - 0,0,3,0,0,0,67,0,0,0,115,38,0,0,0,116, - 0,116,1,160,2,161,0,102,2,125,0,116,3,116,4,102, - 2,125,1,116,5,116,6,102,2,125,2,124,0,124,1,124, - 2,103,3,83,0,41,2,122,95,82,101,116,117,114,110,115, - 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, - 115,41,46,10,32,32,32,32,78,41,7,114,65,1,0,0, - 114,207,0,0,0,218,18,101,120,116,101,110,115,105,111,110, - 95,115,117,102,102,105,120,101,115,114,71,1,0,0,114,138, - 0,0,0,114,81,1,0,0,114,123,0,0,0,169,3,90, - 10,101,120,116,101,110,115,105,111,110,115,90,6,115,111,117, - 114,99,101,90,8,98,121,116,101,99,111,100,101,32,32,32, - 114,180,1,0,0,114,8,0,0,0,114,8,0,0,0,114, - 9,0,0,0,114,232,0,0,0,123,6,0,0,115,8,0, - 0,0,12,5,8,1,8,1,10,1,114,11,0,0,0,114, - 232,0,0,0,99,1,0,0,0,0,0,0,0,0,0,0, - 0,1,0,0,0,67,0,0,0,115,8,0,0,0,124,0, - 97,0,100,0,83,0,114,76,0,0,0,41,1,114,175,0, - 0,0,169,1,218,17,95,98,111,111,116,115,116,114,97,112, - 95,109,111,100,117,108,101,32,114,181,1,0,0,114,8,0, - 0,0,114,8,0,0,0,114,9,0,0,0,218,21,95,115, - 101,116,95,98,111,111,116,115,116,114,97,112,95,109,111,100, - 117,108,101,134,6,0,0,115,2,0,0,0,8,2,114,11, - 0,0,0,114,183,1,0,0,99,1,0,0,0,0,0,0, - 0,0,0,0,0,4,0,0,0,67,0,0,0,115,50,0, - 0,0,116,0,124,0,131,1,1,0,116,1,131,0,125,1, - 116,2,106,3,160,4,116,5,106,6,124,1,142,0,103,1, - 161,1,1,0,116,2,106,7,160,8,116,9,161,1,1,0, - 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, - 46,78,41,10,114,183,1,0,0,114,232,0,0,0,114,18, - 0,0,0,114,135,1,0,0,114,212,0,0,0,114,152,1, - 0,0,114,172,1,0,0,218,9,109,101,116,97,95,112,97, - 116,104,114,65,0,0,0,114,128,1,0,0,169,2,114,182, - 1,0,0,90,17,115,117,112,112,111,114,116,101,100,95,108, - 111,97,100,101,114,115,32,32,114,185,1,0,0,114,8,0, - 0,0,114,8,0,0,0,114,9,0,0,0,218,8,95,105, - 110,115,116,97,108,108,139,6,0,0,115,8,0,0,0,8, - 2,6,1,20,1,16,1,114,11,0,0,0,114,186,1,0, - 0,41,1,114,96,0,0,0,114,76,0,0,0,41,3,78, - 78,78,41,2,114,0,0,0,0,114,0,0,0,0,41,1, - 84,41,85,114,167,0,0,0,114,175,0,0,0,114,207,0, - 0,0,114,100,0,0,0,114,18,0,0,0,114,109,0,0, - 0,114,204,0,0,0,114,28,0,0,0,114,2,1,0,0, - 90,2,110,116,114,21,0,0,0,114,240,0,0,0,90,5, - 112,111,115,105,120,114,54,0,0,0,218,3,97,108,108,114, - 63,0,0,0,114,149,0,0,0,114,61,0,0,0,114,66, - 0,0,0,90,20,95,112,97,116,104,115,101,112,115,95,119, - 105,116,104,95,99,111,108,111,110,114,31,0,0,0,90,37, - 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, - 83,95,75,69,89,114,30,0,0,0,114,32,0,0,0,114, - 24,0,0,0,114,40,0,0,0,114,46,0,0,0,114,49, - 0,0,0,114,72,0,0,0,114,81,0,0,0,114,82,0, - 0,0,114,87,0,0,0,114,88,0,0,0,114,91,0,0, - 0,114,95,0,0,0,114,105,0,0,0,218,4,116,121,112, - 101,218,8,95,95,99,111,100,101,95,95,114,206,0,0,0, - 114,37,0,0,0,114,189,0,0,0,114,36,0,0,0,114, - 43,0,0,0,114,41,1,0,0,114,126,0,0,0,114,122, - 0,0,0,114,138,0,0,0,114,65,0,0,0,114,179,1, - 0,0,114,3,1,0,0,114,123,0,0,0,90,23,68,69, - 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, - 69,83,114,132,0,0,0,114,140,0,0,0,114,148,0,0, - 0,114,151,0,0,0,114,154,0,0,0,114,176,0,0,0, - 114,184,0,0,0,114,194,0,0,0,114,199,0,0,0,114, - 202,0,0,0,114,210,0,0,0,114,216,0,0,0,114,218, - 0,0,0,114,224,0,0,0,218,6,111,98,106,101,99,116, - 114,233,0,0,0,114,238,0,0,0,114,239,0,0,0,114, - 6,1,0,0,114,22,1,0,0,114,45,1,0,0,114,71, - 1,0,0,114,81,1,0,0,114,65,1,0,0,114,91,1, - 0,0,114,122,1,0,0,114,128,1,0,0,114,152,1,0, - 0,114,178,1,0,0,114,232,0,0,0,114,183,1,0,0, - 114,186,1,0,0,114,8,0,0,0,114,8,0,0,0,114, - 8,0,0,0,114,8,0,0,0,114,9,0,0,0,218,8, - 60,109,111,100,117,108,101,62,1,0,0,0,115,180,0,0, - 0,4,0,4,22,8,3,8,1,8,1,8,1,8,1,10, - 3,4,1,8,1,10,1,8,2,4,3,10,1,6,2,22, - 2,8,1,8,1,10,1,14,1,4,4,4,1,2,1,2, - 1,4,255,8,4,6,16,8,3,8,5,8,5,4,6,10, - 1,8,30,8,6,8,8,8,10,8,9,8,5,4,7,10, - 1,8,8,10,5,10,22,0,127,16,33,12,1,4,2,4, - 1,6,2,4,1,10,1,8,2,6,2,8,2,16,2,8, - 71,8,40,8,19,8,12,8,12,8,31,8,20,8,33,8, - 28,10,24,10,13,10,10,8,11,6,14,4,3,2,1,12, - 255,14,73,14,67,16,30,0,127,14,17,18,50,18,45,18, - 25,14,53,14,63,14,49,0,127,14,29,0,127,10,30,8, - 23,8,11,12,5,114,11,0,0,0, + 114,101,112,114,95,95,114,69,0,0,0,41,15,114,149,0, + 0,0,114,148,0,0,0,114,150,0,0,0,114,151,0,0, + 0,114,235,0,0,0,114,75,1,0,0,114,166,0,0,0, + 114,228,0,0,0,114,160,0,0,0,114,88,1,0,0,114, + 225,0,0,0,114,98,1,0,0,114,233,0,0,0,114,103, + 1,0,0,114,65,1,0,0,114,12,0,0,0,114,7,0, + 0,0,114,91,1,0,0,199,5,0,0,115,24,0,0,0, + 8,0,4,2,8,7,8,16,4,4,8,2,8,15,10,5, + 8,51,2,31,10,1,12,17,114,9,0,0,0,114,91,1, + 0,0,99,4,0,0,0,0,0,0,0,0,0,0,0,8, + 0,0,0,3,0,0,0,115,146,0,0,0,124,0,160,0, + 100,1,161,1,125,4,124,0,160,0,100,2,161,1,125,5, + 124,4,115,33,124,5,114,18,124,5,106,1,125,4,110,15, + 124,2,124,3,107,2,114,28,116,2,124,1,124,2,131,2, + 125,4,110,5,116,3,124,1,124,2,131,2,125,4,124,5, + 115,42,116,4,124,1,124,2,124,4,100,3,141,3,125,5, + 9,0,124,5,124,0,100,2,60,0,124,4,124,0,100,1, + 60,0,124,2,124,0,100,4,60,0,124,3,124,0,100,5, + 60,0,100,0,83,0,35,0,4,0,116,5,121,72,1,0, + 1,0,1,0,89,0,100,0,83,0,37,0,119,0,41,6, + 78,218,10,95,95,108,111,97,100,101,114,95,95,218,8,95, + 95,115,112,101,99,95,95,41,1,114,163,0,0,0,90,8, + 95,95,102,105,108,101,95,95,90,10,95,95,99,97,99,104, + 101,100,95,95,41,6,218,3,103,101,116,114,163,0,0,0, + 114,39,1,0,0,114,32,1,0,0,114,212,0,0,0,218, + 9,69,120,99,101,112,116,105,111,110,41,6,90,2,110,115, + 114,141,0,0,0,90,8,112,97,116,104,110,97,109,101,90, + 9,99,112,97,116,104,110,97,109,101,114,163,0,0,0,114, + 209,0,0,0,32,32,32,32,32,32,114,7,0,0,0,218, + 14,95,102,105,120,95,117,112,95,109,111,100,117,108,101,100, + 6,0,0,115,40,0,0,0,10,2,10,1,4,1,4,1, + 8,1,8,1,12,1,10,2,4,1,14,1,2,1,8,1, + 8,1,8,1,12,1,2,128,12,1,6,2,2,128,2,254, + 115,15,0,0,0,171,16,61,0,189,7,65,7,7,193,8, + 1,65,7,7,114,108,1,0,0,99,0,0,0,0,0,0, + 0,0,0,0,0,0,3,0,0,0,3,0,0,0,115,38, + 0,0,0,116,0,116,1,160,2,161,0,102,2,125,0,116, + 3,116,4,102,2,125,1,116,5,116,6,102,2,125,2,124, + 0,124,1,124,2,103,3,83,0,41,2,122,95,82,101,116, + 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, + 102,105,120,101,115,41,46,10,32,32,32,32,78,41,7,114, + 28,1,0,0,114,186,0,0,0,218,18,101,120,116,101,110, + 115,105,111,110,95,115,117,102,102,105,120,101,115,114,32,1, + 0,0,114,127,0,0,0,114,39,1,0,0,114,113,0,0, + 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, + 101,32,32,32,114,7,0,0,0,114,207,0,0,0,123,6, + 0,0,115,8,0,0,0,12,5,8,1,8,1,10,1,114, + 9,0,0,0,114,207,0,0,0,99,1,0,0,0,0,0, + 0,0,0,0,0,0,1,0,0,0,3,0,0,0,115,8, + 0,0,0,124,0,97,0,100,0,83,0,114,69,0,0,0, + 41,1,114,158,0,0,0,41,1,218,17,95,98,111,111,116, + 115,116,114,97,112,95,109,111,100,117,108,101,32,114,7,0, + 0,0,218,21,95,115,101,116,95,98,111,111,116,115,116,114, + 97,112,95,109,111,100,117,108,101,134,6,0,0,115,2,0, + 0,0,8,2,114,9,0,0,0,114,111,1,0,0,99,1, + 0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,3, + 0,0,0,115,50,0,0,0,116,0,124,0,131,1,1,0, + 116,1,131,0,125,1,116,2,106,3,160,4,116,5,106,6, + 124,1,142,0,103,1,161,1,1,0,116,2,106,7,160,8, + 116,9,161,1,1,0,100,1,83,0,41,2,122,41,73,110, + 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, + 111,110,101,110,116,115,46,78,41,10,114,111,1,0,0,114, + 207,0,0,0,114,16,0,0,0,114,80,1,0,0,114,190, + 0,0,0,114,91,1,0,0,114,103,1,0,0,218,9,109, + 101,116,97,95,112,97,116,104,114,61,0,0,0,114,74,1, + 0,0,41,2,114,110,1,0,0,90,17,115,117,112,112,111, + 114,116,101,100,95,108,111,97,100,101,114,115,32,32,114,7, + 0,0,0,218,8,95,105,110,115,116,97,108,108,139,6,0, + 0,115,8,0,0,0,8,2,6,1,20,1,16,1,114,9, + 0,0,0,114,113,1,0,0,41,1,114,87,0,0,0,114, + 69,0,0,0,41,3,78,78,78,41,2,114,0,0,0,0, + 114,0,0,0,0,41,1,84,41,85,114,151,0,0,0,114, + 158,0,0,0,114,186,0,0,0,114,91,0,0,0,114,16, + 0,0,0,114,99,0,0,0,114,183,0,0,0,114,26,0, + 0,0,114,230,0,0,0,90,2,110,116,114,19,0,0,0, + 114,214,0,0,0,90,5,112,111,115,105,120,114,51,0,0, + 0,218,3,97,108,108,114,59,0,0,0,114,136,0,0,0, + 114,57,0,0,0,114,62,0,0,0,90,20,95,112,97,116, + 104,115,101,112,115,95,119,105,116,104,95,99,111,108,111,110, + 114,29,0,0,0,90,37,95,67,65,83,69,95,73,78,83, + 69,78,83,73,84,73,86,69,95,80,76,65,84,70,79,82, + 77,83,95,66,89,84,69,83,95,75,69,89,114,28,0,0, + 0,114,30,0,0,0,114,22,0,0,0,114,37,0,0,0, + 114,43,0,0,0,114,46,0,0,0,114,67,0,0,0,114, + 73,0,0,0,114,75,0,0,0,114,79,0,0,0,114,80, + 0,0,0,114,83,0,0,0,114,86,0,0,0,114,95,0, + 0,0,218,4,116,121,112,101,218,8,95,95,99,111,100,101, + 95,95,114,185,0,0,0,114,35,0,0,0,114,171,0,0, + 0,114,34,0,0,0,114,40,0,0,0,114,7,1,0,0, + 114,116,0,0,0,114,112,0,0,0,114,127,0,0,0,114, + 61,0,0,0,114,109,1,0,0,114,231,0,0,0,114,113, + 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, + 95,83,85,70,70,73,88,69,83,114,121,0,0,0,114,128, + 0,0,0,114,135,0,0,0,114,137,0,0,0,114,139,0, + 0,0,114,159,0,0,0,114,166,0,0,0,114,175,0,0, + 0,114,179,0,0,0,114,181,0,0,0,114,188,0,0,0, + 114,193,0,0,0,114,194,0,0,0,114,199,0,0,0,218, + 6,111,98,106,101,99,116,114,208,0,0,0,114,212,0,0, + 0,114,213,0,0,0,114,234,0,0,0,114,248,0,0,0, + 114,10,1,0,0,114,32,1,0,0,114,39,1,0,0,114, + 28,1,0,0,114,44,1,0,0,114,70,1,0,0,114,74, + 1,0,0,114,91,1,0,0,114,108,1,0,0,114,207,0, + 0,0,114,111,1,0,0,114,113,1,0,0,114,12,0,0, + 0,114,7,0,0,0,218,8,60,109,111,100,117,108,101,62, + 1,0,0,0,115,180,0,0,0,4,0,4,22,8,3,8, + 1,8,1,8,1,8,1,10,3,4,1,8,1,10,1,8, + 2,4,3,10,1,6,2,22,2,8,1,8,1,10,1,14, + 1,4,4,4,1,2,1,2,1,4,255,8,4,6,16,8, + 3,8,5,8,5,4,6,10,1,8,30,8,6,8,8,8, + 10,8,9,8,5,4,7,10,1,8,8,10,5,10,22,0, + 127,16,33,12,1,4,2,4,1,6,2,4,1,10,1,8, + 2,6,2,8,2,16,2,8,71,8,40,8,19,8,12,8, + 12,8,31,8,20,8,33,8,28,10,24,10,13,10,10,8, + 11,6,14,4,3,2,1,12,255,14,73,14,67,16,30,0, + 127,14,17,18,50,18,45,18,25,14,53,14,63,14,49,0, + 127,14,29,0,127,10,30,8,23,8,11,12,5,114,9,0, + 0,0, }; diff --git a/Python/importlib_zipimport.h b/Python/importlib_zipimport.h index b38efa29edd3a3..4df489b454eb4e 100644 --- a/Python/importlib_zipimport.h +++ b/Python/importlib_zipimport.h @@ -1,7 +1,7 @@ /* Auto-generated by Programs/_freeze_importlib.c */ const unsigned char _Py_M__zipimport[] = { 99,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0, - 0,64,0,0,0,115,80,1,0,0,100,0,90,0,100,1, + 0,0,0,0,0,115,80,1,0,0,100,0,90,0,100,1, 100,2,108,1,90,2,100,1,100,3,108,1,109,3,90,3, 109,4,90,4,1,0,100,1,100,2,108,5,90,6,100,1, 100,2,108,7,90,7,100,1,100,2,108,8,90,8,100,1, @@ -65,183 +65,122 @@ const unsigned char _Py_M__zipimport[] = { 99,107,95,117,105,110,116,51,50,218,14,90,105,112,73,109, 112,111,114,116,69,114,114,111,114,218,11,122,105,112,105,109, 112,111,114,116,101,114,233,1,0,0,0,99,0,0,0,0, - 0,0,0,0,0,0,0,0,1,0,0,0,64,0,0,0, + 0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0, 115,12,0,0,0,101,0,90,1,100,0,90,2,100,1,83, 0,41,2,114,3,0,0,0,78,41,3,218,8,95,95,110, 97,109,101,95,95,218,10,95,95,109,111,100,117,108,101,95, 95,218,12,95,95,113,117,97,108,110,97,109,101,95,95,169, - 0,114,9,0,0,0,114,9,0,0,0,114,9,0,0,0, - 250,18,60,102,114,111,122,101,110,32,122,105,112,105,109,112, - 111,114,116,62,114,3,0,0,0,34,0,0,0,115,4,0, - 0,0,8,0,4,1,243,0,0,0,0,233,22,0,0,0, - 115,4,0,0,0,80,75,5,6,105,255,255,0,0,99,0, - 0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,64, - 0,0,0,115,126,0,0,0,101,0,90,1,100,0,90,2, - 100,1,90,3,100,2,100,3,132,0,90,4,100,29,100,5, - 100,6,132,1,90,5,100,29,100,7,100,8,132,1,90,6, - 100,29,100,9,100,10,132,1,90,7,100,11,100,12,132,0, - 90,8,100,13,100,14,132,0,90,9,100,15,100,16,132,0, - 90,10,100,17,100,18,132,0,90,11,100,19,100,20,132,0, - 90,12,100,21,100,22,132,0,90,13,100,23,100,24,132,0, - 90,14,100,25,100,26,132,0,90,15,100,27,100,28,132,0, - 90,16,100,4,83,0,41,30,114,4,0,0,0,97,255,1, - 0,0,122,105,112,105,109,112,111,114,116,101,114,40,97,114, - 99,104,105,118,101,112,97,116,104,41,32,45,62,32,122,105, - 112,105,109,112,111,114,116,101,114,32,111,98,106,101,99,116, - 10,10,32,32,32,32,67,114,101,97,116,101,32,97,32,110, - 101,119,32,122,105,112,105,109,112,111,114,116,101,114,32,105, - 110,115,116,97,110,99,101,46,32,39,97,114,99,104,105,118, - 101,112,97,116,104,39,32,109,117,115,116,32,98,101,32,97, - 32,112,97,116,104,32,116,111,10,32,32,32,32,97,32,122, - 105,112,102,105,108,101,44,32,111,114,32,116,111,32,97,32, - 115,112,101,99,105,102,105,99,32,112,97,116,104,32,105,110, - 115,105,100,101,32,97,32,122,105,112,102,105,108,101,46,32, - 70,111,114,32,101,120,97,109,112,108,101,44,32,105,116,32, - 99,97,110,32,98,101,10,32,32,32,32,39,47,116,109,112, - 47,109,121,105,109,112,111,114,116,46,122,105,112,39,44,32, - 111,114,32,39,47,116,109,112,47,109,121,105,109,112,111,114, - 116,46,122,105,112,47,109,121,100,105,114,101,99,116,111,114, - 121,39,44,32,105,102,32,109,121,100,105,114,101,99,116,111, - 114,121,32,105,115,32,97,10,32,32,32,32,118,97,108,105, - 100,32,100,105,114,101,99,116,111,114,121,32,105,110,115,105, - 100,101,32,116,104,101,32,97,114,99,104,105,118,101,46,10, - 10,32,32,32,32,39,90,105,112,73,109,112,111,114,116,69, - 114,114,111,114,32,105,115,32,114,97,105,115,101,100,32,105, - 102,32,39,97,114,99,104,105,118,101,112,97,116,104,39,32, - 100,111,101,115,110,39,116,32,112,111,105,110,116,32,116,111, - 32,97,32,118,97,108,105,100,32,90,105,112,10,32,32,32, - 32,97,114,99,104,105,118,101,46,10,10,32,32,32,32,84, - 104,101,32,39,97,114,99,104,105,118,101,39,32,97,116,116, - 114,105,98,117,116,101,32,111,102,32,122,105,112,105,109,112, - 111,114,116,101,114,32,111,98,106,101,99,116,115,32,99,111, - 110,116,97,105,110,115,32,116,104,101,32,110,97,109,101,32, - 111,102,32,116,104,101,10,32,32,32,32,122,105,112,102,105, - 108,101,32,116,97,114,103,101,116,101,100,46,10,32,32,32, - 32,99,2,0,0,0,0,0,0,0,0,0,0,0,9,0, - 0,0,67,0,0,0,115,40,1,0,0,116,0,124,1,116, - 1,131,2,115,14,100,1,100,0,108,2,125,2,124,2,160, - 3,124,1,161,1,125,1,124,1,115,22,116,4,100,2,124, - 1,100,3,141,2,130,1,116,5,114,30,124,1,160,6,116, - 5,116,7,161,2,125,1,103,0,125,3,9,0,9,0,116, - 8,160,9,124,1,161,1,125,4,110,36,35,0,4,0,116, - 10,116,11,102,2,121,147,1,0,1,0,1,0,116,8,160, - 12,124,1,161,1,92,2,125,5,125,6,124,5,124,1,107, - 2,114,66,116,4,100,5,124,1,100,3,141,2,130,1,124, - 5,125,1,124,3,160,13,124,6,161,1,1,0,89,0,110, - 15,37,0,124,4,106,14,100,6,64,0,100,7,107,3,114, - 89,116,4,100,5,124,1,100,3,141,2,130,1,113,91,113, - 33,9,0,116,15,124,1,25,0,125,7,110,18,35,0,4, - 0,116,16,121,146,1,0,1,0,1,0,116,17,124,1,131, - 1,125,7,124,7,116,15,124,1,60,0,89,0,110,1,37, - 0,124,7,124,0,95,18,124,1,124,0,95,19,116,8,106, - 20,124,3,100,0,100,0,100,8,133,3,25,0,142,0,124, - 0,95,21,124,0,106,21,114,144,124,0,4,0,106,21,116, - 7,55,0,2,0,95,21,100,0,83,0,100,0,83,0,119, - 0,119,0,41,9,78,114,0,0,0,0,122,21,97,114,99, - 104,105,118,101,32,112,97,116,104,32,105,115,32,101,109,112, - 116,121,169,1,218,4,112,97,116,104,84,122,14,110,111,116, - 32,97,32,90,105,112,32,102,105,108,101,105,0,240,0,0, - 105,0,128,0,0,233,255,255,255,255,41,22,218,10,105,115, - 105,110,115,116,97,110,99,101,218,3,115,116,114,218,2,111, - 115,90,8,102,115,100,101,99,111,100,101,114,3,0,0,0, - 218,12,97,108,116,95,112,97,116,104,95,115,101,112,218,7, - 114,101,112,108,97,99,101,218,8,112,97,116,104,95,115,101, - 112,218,19,95,98,111,111,116,115,116,114,97,112,95,101,120, - 116,101,114,110,97,108,90,10,95,112,97,116,104,95,115,116, - 97,116,218,7,79,83,69,114,114,111,114,218,10,86,97,108, - 117,101,69,114,114,111,114,90,11,95,112,97,116,104,95,115, - 112,108,105,116,218,6,97,112,112,101,110,100,90,7,115,116, - 95,109,111,100,101,218,20,95,122,105,112,95,100,105,114,101, - 99,116,111,114,121,95,99,97,99,104,101,218,8,75,101,121, - 69,114,114,111,114,218,15,95,114,101,97,100,95,100,105,114, - 101,99,116,111,114,121,218,6,95,102,105,108,101,115,218,7, - 97,114,99,104,105,118,101,218,10,95,112,97,116,104,95,106, - 111,105,110,218,6,112,114,101,102,105,120,169,8,218,4,115, - 101,108,102,114,14,0,0,0,114,18,0,0,0,114,32,0, - 0,0,90,2,115,116,90,7,100,105,114,110,97,109,101,90, - 8,98,97,115,101,110,97,109,101,218,5,102,105,108,101,115, - 32,32,32,32,32,32,32,32,114,33,0,0,0,114,9,0, - 0,0,114,9,0,0,0,114,10,0,0,0,218,8,95,95, - 105,110,105,116,95,95,64,0,0,0,115,76,0,0,0,10, - 1,8,1,10,1,4,1,12,1,4,1,12,1,4,2,2, - 1,2,1,12,1,2,128,16,1,14,3,8,1,12,1,4, - 1,14,1,2,128,14,3,12,2,2,1,2,240,2,18,10, - 1,2,128,12,1,8,1,12,1,2,128,6,1,6,1,22, - 2,6,1,18,1,4,255,2,249,2,239,115,33,0,0,0, - 162,5,40,0,168,33,65,11,7,193,28,4,65,33,0,193, - 33,15,65,50,7,194,18,1,65,50,7,194,19,1,65,11, - 7,122,20,122,105,112,105,109,112,111,114,116,101,114,46,95, - 95,105,110,105,116,95,95,78,99,3,0,0,0,0,0,0, - 0,0,0,0,0,4,0,0,0,67,0,0,0,115,90,0, - 0,0,116,0,160,1,100,1,116,2,161,2,1,0,116,3, - 124,0,124,1,131,2,125,3,124,3,100,2,117,1,114,19, - 124,0,103,0,102,2,83,0,116,4,124,0,124,1,131,2, - 125,4,116,5,124,0,124,4,131,2,114,41,100,2,124,0, - 106,6,155,0,116,7,155,0,124,4,155,0,157,3,103,1, - 102,2,83,0,100,2,103,0,102,2,83,0,41,3,97,47, - 2,0,0,102,105,110,100,95,108,111,97,100,101,114,40,102, - 117,108,108,110,97,109,101,44,32,112,97,116,104,61,78,111, - 110,101,41,32,45,62,32,115,101,108,102,44,32,115,116,114, - 32,111,114,32,78,111,110,101,46,10,10,32,32,32,32,32, - 32,32,32,83,101,97,114,99,104,32,102,111,114,32,97,32, - 109,111,100,117,108,101,32,115,112,101,99,105,102,105,101,100, - 32,98,121,32,39,102,117,108,108,110,97,109,101,39,46,32, - 39,102,117,108,108,110,97,109,101,39,32,109,117,115,116,32, - 98,101,32,116,104,101,10,32,32,32,32,32,32,32,32,102, - 117,108,108,121,32,113,117,97,108,105,102,105,101,100,32,40, - 100,111,116,116,101,100,41,32,109,111,100,117,108,101,32,110, - 97,109,101,46,32,73,116,32,114,101,116,117,114,110,115,32, - 116,104,101,32,122,105,112,105,109,112,111,114,116,101,114,10, - 32,32,32,32,32,32,32,32,105,110,115,116,97,110,99,101, - 32,105,116,115,101,108,102,32,105,102,32,116,104,101,32,109, - 111,100,117,108,101,32,119,97,115,32,102,111,117,110,100,44, - 32,97,32,115,116,114,105,110,103,32,99,111,110,116,97,105, - 110,105,110,103,32,116,104,101,10,32,32,32,32,32,32,32, - 32,102,117,108,108,32,112,97,116,104,32,110,97,109,101,32, - 105,102,32,105,116,39,115,32,112,111,115,115,105,98,108,121, - 32,97,32,112,111,114,116,105,111,110,32,111,102,32,97,32, - 110,97,109,101,115,112,97,99,101,32,112,97,99,107,97,103, - 101,44,10,32,32,32,32,32,32,32,32,111,114,32,78,111, - 110,101,32,111,116,104,101,114,119,105,115,101,46,32,84,104, - 101,32,111,112,116,105,111,110,97,108,32,39,112,97,116,104, - 39,32,97,114,103,117,109,101,110,116,32,105,115,32,105,103, - 110,111,114,101,100,32,45,45,32,105,116,39,115,10,32,32, - 32,32,32,32,32,32,116,104,101,114,101,32,102,111,114,32, - 99,111,109,112,97,116,105,98,105,108,105,116,121,32,119,105, - 116,104,32,116,104,101,32,105,109,112,111,114,116,101,114,32, - 112,114,111,116,111,99,111,108,46,10,10,32,32,32,32,32, - 32,32,32,68,101,112,114,101,99,97,116,101,100,32,115,105, - 110,99,101,32,80,121,116,104,111,110,32,51,46,49,48,46, - 32,85,115,101,32,102,105,110,100,95,115,112,101,99,40,41, - 32,105,110,115,116,101,97,100,46,10,32,32,32,32,32,32, - 32,32,122,102,122,105,112,105,109,112,111,114,116,101,114,46, - 102,105,110,100,95,108,111,97,100,101,114,40,41,32,105,115, - 32,100,101,112,114,101,99,97,116,101,100,32,97,110,100,32, - 115,108,97,116,101,100,32,102,111,114,32,114,101,109,111,118, - 97,108,32,105,110,32,80,121,116,104,111,110,32,51,46,49, - 50,59,32,117,115,101,32,102,105,110,100,95,115,112,101,99, - 40,41,32,105,110,115,116,101,97,100,78,41,8,218,9,95, - 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, - 110,103,218,16,95,103,101,116,95,109,111,100,117,108,101,95, - 105,110,102,111,218,16,95,103,101,116,95,109,111,100,117,108, - 101,95,112,97,116,104,218,7,95,105,115,95,100,105,114,114, - 30,0,0,0,114,21,0,0,0,169,5,114,34,0,0,0, - 218,8,102,117,108,108,110,97,109,101,114,14,0,0,0,218, - 2,109,105,218,7,109,111,100,112,97,116,104,32,32,32,32, - 32,114,43,0,0,0,114,9,0,0,0,114,9,0,0,0, - 114,10,0,0,0,218,11,102,105,110,100,95,108,111,97,100, - 101,114,110,0,0,0,115,20,0,0,0,6,12,2,2,4, - 254,10,3,8,1,8,2,10,7,10,1,24,4,8,2,114, - 11,0,0,0,122,23,122,105,112,105,109,112,111,114,116,101, - 114,46,102,105,110,100,95,108,111,97,100,101,114,99,3,0, - 0,0,0,0,0,0,0,0,0,0,4,0,0,0,67,0, - 0,0,115,28,0,0,0,116,0,160,1,100,1,116,2,161, - 2,1,0,124,0,160,3,124,1,124,2,161,2,100,2,25, - 0,83,0,41,4,97,203,1,0,0,102,105,110,100,95,109, - 111,100,117,108,101,40,102,117,108,108,110,97,109,101,44,32, - 112,97,116,104,61,78,111,110,101,41,32,45,62,32,115,101, - 108,102,32,111,114,32,78,111,110,101,46,10,10,32,32,32, + 0,250,18,60,102,114,111,122,101,110,32,122,105,112,105,109, + 112,111,114,116,62,114,3,0,0,0,34,0,0,0,115,4, + 0,0,0,8,0,4,1,243,0,0,0,0,233,22,0,0, + 0,115,4,0,0,0,80,75,5,6,105,255,255,0,0,99, + 0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0, + 0,0,0,0,115,126,0,0,0,101,0,90,1,100,0,90, + 2,100,1,90,3,100,2,100,3,132,0,90,4,100,29,100, + 5,100,6,132,1,90,5,100,29,100,7,100,8,132,1,90, + 6,100,29,100,9,100,10,132,1,90,7,100,11,100,12,132, + 0,90,8,100,13,100,14,132,0,90,9,100,15,100,16,132, + 0,90,10,100,17,100,18,132,0,90,11,100,19,100,20,132, + 0,90,12,100,21,100,22,132,0,90,13,100,23,100,24,132, + 0,90,14,100,25,100,26,132,0,90,15,100,27,100,28,132, + 0,90,16,100,4,83,0,41,30,114,4,0,0,0,97,255, + 1,0,0,122,105,112,105,109,112,111,114,116,101,114,40,97, + 114,99,104,105,118,101,112,97,116,104,41,32,45,62,32,122, + 105,112,105,109,112,111,114,116,101,114,32,111,98,106,101,99, + 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106,111,105,110,218,6,112,114,101,102,105,120,41,8,218,4, + 115,101,108,102,114,14,0,0,0,114,18,0,0,0,114,32, + 0,0,0,90,2,115,116,90,7,100,105,114,110,97,109,101, + 90,8,98,97,115,101,110,97,109,101,218,5,102,105,108,101, + 115,32,32,32,32,32,32,32,32,114,10,0,0,0,218,8, + 95,95,105,110,105,116,95,95,64,0,0,0,115,76,0,0, + 0,10,1,8,1,10,1,4,1,12,1,4,1,12,1,4, + 2,2,1,2,1,12,1,2,128,16,1,14,3,8,1,12, + 1,4,1,14,1,2,128,14,3,12,2,2,1,2,240,2, + 18,10,1,2,128,12,1,8,1,12,1,2,128,6,1,6, + 1,22,2,6,1,18,1,4,255,2,249,2,239,115,33,0, + 0,0,162,5,40,0,168,33,65,11,7,193,28,4,65,33, + 0,193,33,15,65,50,7,194,18,1,65,50,7,194,19,1, + 65,11,7,122,20,122,105,112,105,109,112,111,114,116,101,114, + 46,95,95,105,110,105,116,95,95,78,99,3,0,0,0,0, + 0,0,0,0,0,0,0,4,0,0,0,3,0,0,0,115, + 90,0,0,0,116,0,160,1,100,1,116,2,161,2,1,0, + 116,3,124,0,124,1,131,2,125,3,124,3,100,2,117,1, + 114,19,124,0,103,0,102,2,83,0,116,4,124,0,124,1, + 131,2,125,4,116,5,124,0,124,4,131,2,114,41,100,2, + 124,0,106,6,155,0,116,7,155,0,124,4,155,0,157,3, + 103,1,102,2,83,0,100,2,103,0,102,2,83,0,41,3, + 97,47,2,0,0,102,105,110,100,95,108,111,97,100,101,114, + 40,102,117,108,108,110,97,109,101,44,32,112,97,116,104,61, + 78,111,110,101,41,32,45,62,32,115,101,108,102,44,32,115, + 116,114,32,111,114,32,78,111,110,101,46,10,10,32,32,32, 32,32,32,32,32,83,101,97,114,99,104,32,102,111,114,32, 97,32,109,111,100,117,108,101,32,115,112,101,99,105,102,105, 101,100,32,98,121,32,39,102,117,108,108,110,97,109,101,39, @@ -254,874 +193,907 @@ const unsigned char _Py_M__zipimport[] = { 114,10,32,32,32,32,32,32,32,32,105,110,115,116,97,110, 99,101,32,105,116,115,101,108,102,32,105,102,32,116,104,101, 32,109,111,100,117,108,101,32,119,97,115,32,102,111,117,110, - 100,44,32,111,114,32,78,111,110,101,32,105,102,32,105,116, - 32,119,97,115,110,39,116,46,10,32,32,32,32,32,32,32, - 32,84,104,101,32,111,112,116,105,111,110,97,108,32,39,112, - 97,116,104,39,32,97,114,103,117,109,101,110,116,32,105,115, - 32,105,103,110,111,114,101,100,32,45,45,32,105,116,39,115, - 32,116,104,101,114,101,32,102,111,114,32,99,111,109,112,97, - 116,105,98,105,108,105,116,121,10,32,32,32,32,32,32,32, - 32,119,105,116,104,32,116,104,101,32,105,109,112,111,114,116, - 101,114,32,112,114,111,116,111,99,111,108,46,10,10,32,32, - 32,32,32,32,32,32,68,101,112,114,101,99,97,116,101,100, - 32,115,105,110,99,101,32,80,121,116,104,111,110,32,51,46, - 49,48,46,32,85,115,101,32,102,105,110,100,95,115,112,101, - 99,40,41,32,105,110,115,116,101,97,100,46,10,32,32,32, - 32,32,32,32,32,122,102,122,105,112,105,109,112,111,114,116, - 101,114,46,102,105,110,100,95,109,111,100,117,108,101,40,41, - 32,105,115,32,100,101,112,114,101,99,97,116,101,100,32,97, - 110,100,32,115,108,97,116,101,100,32,102,111,114,32,114,101, - 109,111,118,97,108,32,105,110,32,80,121,116,104,111,110,32, - 51,46,49,50,59,32,117,115,101,32,102,105,110,100,95,115, - 112,101,99,40,41,32,105,110,115,116,101,97,100,114,0,0, - 0,0,78,41,4,114,37,0,0,0,114,38,0,0,0,114, - 39,0,0,0,114,47,0,0,0,169,3,114,34,0,0,0, - 114,44,0,0,0,114,14,0,0,0,32,32,32,114,48,0, - 0,0,114,9,0,0,0,114,9,0,0,0,114,10,0,0, - 0,218,11,102,105,110,100,95,109,111,100,117,108,101,147,0, - 0,0,115,8,0,0,0,6,11,2,2,4,254,16,3,114, - 11,0,0,0,122,23,122,105,112,105,109,112,111,114,116,101, - 114,46,102,105,110,100,95,109,111,100,117,108,101,99,3,0, - 0,0,0,0,0,0,0,0,0,0,6,0,0,0,67,0, - 0,0,115,108,0,0,0,116,0,124,0,124,1,131,2,125, - 3,124,3,100,1,117,1,114,17,116,1,160,2,124,1,124, - 0,124,3,100,2,166,3,83,0,116,3,124,0,124,1,131, - 2,125,4,116,4,124,0,124,4,131,2,114,52,124,0,106, - 5,155,0,116,6,155,0,124,4,155,0,157,3,125,5,116, - 1,160,7,124,1,100,1,100,3,100,4,166,3,125,6,124, - 6,106,8,160,9,124,5,161,1,1,0,124,6,83,0,100, - 1,83,0,41,5,122,107,67,114,101,97,116,101,32,97,32, - 77,111,100,117,108,101,83,112,101,99,32,102,111,114,32,116, + 100,44,32,97,32,115,116,114,105,110,103,32,99,111,110,116, + 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48,46,32,85,115,101,32,102,105,110,100,95,115,112,101,99, + 40,41,32,105,110,115,116,101,97,100,46,10,32,32,32,32, + 32,32,32,32,122,102,122,105,112,105,109,112,111,114,116,101, + 114,46,102,105,110,100,95,108,111,97,100,101,114,40,41,32, + 105,115,32,100,101,112,114,101,99,97,116,101,100,32,97,110, + 100,32,115,108,97,116,101,100,32,102,111,114,32,114,101,109, + 111,118,97,108,32,105,110,32,80,121,116,104,111,110,32,51, + 46,49,50,59,32,117,115,101,32,102,105,110,100,95,115,112, + 101,99,40,41,32,105,110,115,116,101,97,100,78,41,8,218, + 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, + 110,105,110,103,218,16,95,103,101,116,95,109,111,100,117,108, + 101,95,105,110,102,111,218,16,95,103,101,116,95,109,111,100, + 117,108,101,95,112,97,116,104,218,7,95,105,115,95,100,105, + 114,114,30,0,0,0,114,21,0,0,0,41,5,114,33,0, + 0,0,218,8,102,117,108,108,110,97,109,101,114,14,0,0, + 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100,32,123,125,32,110,97,109,101,115,32,105,110,32,123,33, - 114,125,41,26,218,3,95,105,111,218,9,111,112,101,110,95, - 99,111,100,101,114,23,0,0,0,114,3,0,0,0,218,4, - 115,101,101,107,218,20,69,78,68,95,67,69,78,84,82,65, - 76,95,68,73,82,95,83,73,90,69,90,4,116,101,108,108, - 218,4,114,101,97,100,114,63,0,0,0,218,18,83,84,82, - 73,78,71,95,69,78,68,95,65,82,67,72,73,86,69,218, - 3,109,97,120,218,15,77,65,88,95,67,79,77,77,69,78, - 84,95,76,69,78,218,5,114,102,105,110,100,114,2,0,0, - 0,218,8,69,79,70,69,114,114,111,114,114,1,0,0,0, - 114,74,0,0,0,218,18,85,110,105,99,111,100,101,68,101, - 99,111,100,101,69,114,114,111,114,218,9,116,114,97,110,115, - 108,97,116,101,218,11,99,112,52,51,55,95,116,97,98,108, - 101,114,20,0,0,0,114,21,0,0,0,114,22,0,0,0, - 114,31,0,0,0,114,52,0,0,0,114,89,0,0,0,169, - 26,114,30,0,0,0,218,2,102,112,90,15,104,101,97,100, - 101,114,95,112,111,115,105,116,105,111,110,218,6,98,117,102, - 102,101,114,218,9,102,105,108,101,95,115,105,122,101,90,17, - 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78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93, - 94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109, - 110,111,112,113,114,115,116,117,118,119,120,121,122,123,124,125, - 126,127,195,135,195,188,195,169,195,162,195,164,195,160,195,165, - 195,167,195,170,195,171,195,168,195,175,195,174,195,172,195,132, - 195,133,195,137,195,166,195,134,195,180,195,182,195,178,195,187, - 195,185,195,191,195,150,195,156,194,162,194,163,194,165,226,130, - 167,198,146,195,161,195,173,195,179,195,186,195,177,195,145,194, - 170,194,186,194,191,226,140,144,194,172,194,189,194,188,194,161, - 194,171,194,187,226,150,145,226,150,146,226,150,147,226,148,130, - 226,148,164,226,149,161,226,149,162,226,149,150,226,149,149,226, - 149,163,226,149,145,226,149,151,226,149,157,226,149,156,226,149, - 155,226,148,144,226,148,148,226,148,180,226,148,172,226,148,156, - 226,148,128,226,148,188,226,149,158,226,149,159,226,149,154,226, - 149,148,226,149,169,226,149,166,226,149,160,226,149,144,226,149, - 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114,131,0,0,0,114,23,0,0,0,114,133,0,0,0,114, - 63,0,0,0,114,138,0,0,0,114,1,0,0,0,114,164, - 0,0,0,114,163,0,0,0,169,17,114,30,0,0,0,114, - 67,0,0,0,90,8,100,97,116,97,112,97,116,104,114,150, - 0,0,0,114,154,0,0,0,114,145,0,0,0,114,157,0, - 0,0,114,151,0,0,0,114,152,0,0,0,114,153,0,0, - 0,114,143,0,0,0,114,144,0,0,0,114,155,0,0,0, - 114,156,0,0,0,114,147,0,0,0,90,8,114,97,119,95, - 100,97,116,97,114,161,0,0,0,32,32,32,32,32,32,32, - 32,32,32,32,32,32,32,32,32,32,114,166,0,0,0,114, - 9,0,0,0,114,9,0,0,0,114,10,0,0,0,114,64, - 0,0,0,69,2,0,0,115,86,0,0,0,20,1,8,1, - 8,1,12,2,2,2,12,1,2,128,12,1,18,1,2,128, - 10,1,12,1,8,1,16,2,18,2,16,2,16,1,12,1, - 8,1,2,1,12,1,2,128,12,1,18,1,2,128,10,1, - 12,1,8,1,2,255,12,233,22,128,8,26,4,2,2,3, - 8,1,2,128,12,1,8,1,2,128,10,1,2,254,2,243, - 2,240,115,88,0,0,0,151,1,66,24,3,153,5,31,2, - 158,1,66,24,3,159,16,47,9,175,59,66,24,3,193,43, - 5,65,49,2,193,48,1,66,24,3,193,49,16,66,1,9, - 194,1,16,66,24,3,194,24,4,66,28,11,194,29,3,66, - 28,11,194,42,3,66,46,0,194,46,11,66,57,7,194,63, - 1,66,57,7,195,0,1,66,1,9,195,1,1,47,9,114, - 64,0,0,0,99,2,0,0,0,0,0,0,0,0,0,0, - 0,3,0,0,0,67,0,0,0,115,16,0,0,0,116,0, - 124,0,124,1,24,0,131,1,100,1,107,1,83,0,41,2, - 78,114,5,0,0,0,41,1,218,3,97,98,115,169,2,90, - 2,116,49,90,2,116,50,32,32,114,168,0,0,0,114,9, - 0,0,0,114,9,0,0,0,114,10,0,0,0,218,9,95, - 101,113,95,109,116,105,109,101,115,2,0,0,115,2,0,0, - 0,16,2,114,11,0,0,0,114,169,0,0,0,99,5,0, - 0,0,0,0,0,0,0,0,0,0,6,0,0,0,67,0, - 0,0,115,254,0,0,0,124,3,124,2,100,1,156,2,125, - 5,116,0,160,1,124,4,124,3,124,5,161,3,125,6,124, - 6,100,2,64,0,100,3,107,3,125,7,124,7,114,63,124, - 6,100,4,64,0,100,3,107,3,125,8,116,2,106,3,100, - 5,107,3,114,62,124,8,115,38,116,2,106,3,100,6,107, - 2,114,62,116,4,124,0,124,2,131,2,125,9,124,9,100, - 0,117,1,114,62,116,2,160,5,116,0,106,6,124,9,161, - 2,125,10,116,0,160,7,124,4,124,10,124,3,124,5,161, - 4,1,0,110,40,116,8,124,0,124,2,131,2,92,2,125, - 11,125,12,124,11,114,103,116,9,116,10,124,4,100,7,100, - 8,133,2,25,0,131,1,124,11,131,2,114,93,116,10,124, - 4,100,8,100,9,133,2,25,0,131,1,124,12,107,3,114, - 103,116,11,160,12,100,10,124,3,155,2,157,2,161,1,1, - 0,100,0,83,0,116,13,160,14,124,4,100,9,100,0,133, - 2,25,0,161,1,125,13,116,15,124,13,116,16,131,2,115, - 125,116,17,100,11,124,1,155,2,100,12,157,3,131,1,130, - 1,124,13,83,0,41,13,78,41,2,114,51,0,0,0,114, - 14,0,0,0,114,5,0,0,0,114,0,0,0,0,114,103, - 0,0,0,90,5,110,101,118,101,114,90,6,97,108,119,97, - 121,115,114,118,0,0,0,114,113,0,0,0,114,114,0,0, - 0,122,22,98,121,116,101,99,111,100,101,32,105,115,32,115, - 116,97,108,101,32,102,111,114,32,122,16,99,111,109,112,105, - 108,101,100,32,109,111,100,117,108,101,32,122,21,32,105,115, - 32,110,111,116,32,97,32,99,111,100,101,32,111,98,106,101, - 99,116,41,18,114,22,0,0,0,90,13,95,99,108,97,115, - 115,105,102,121,95,112,121,99,218,4,95,105,109,112,90,21, - 99,104,101,99,107,95,104,97,115,104,95,98,97,115,101,100, - 95,112,121,99,115,218,15,95,103,101,116,95,112,121,99,95, - 115,111,117,114,99,101,218,11,115,111,117,114,99,101,95,104, - 97,115,104,90,17,95,82,65,87,95,77,65,71,73,67,95, - 78,85,77,66,69,82,90,18,95,118,97,108,105,100,97,116, - 101,95,104,97,115,104,95,112,121,99,218,29,95,103,101,116, - 95,109,116,105,109,101,95,97,110,100,95,115,105,122,101,95, - 111,102,95,115,111,117,114,99,101,114,169,0,0,0,114,2, - 0,0,0,114,52,0,0,0,114,89,0,0,0,218,7,109, - 97,114,115,104,97,108,90,5,108,111,97,100,115,114,16,0, - 0,0,218,10,95,99,111,100,101,95,116,121,112,101,218,9, - 84,121,112,101,69,114,114,111,114,169,14,114,34,0,0,0, - 114,66,0,0,0,114,76,0,0,0,114,44,0,0,0,114, - 146,0,0,0,90,11,101,120,99,95,100,101,116,97,105,108, - 115,114,149,0,0,0,90,10,104,97,115,104,95,98,97,115, - 101,100,90,12,99,104,101,99,107,95,115,111,117,114,99,101, - 90,12,115,111,117,114,99,101,95,98,121,116,101,115,114,172, - 0,0,0,90,12,115,111,117,114,99,101,95,109,116,105,109, - 101,90,11,115,111,117,114,99,101,95,115,105,122,101,114,58, - 0,0,0,32,32,32,32,32,32,32,32,32,32,32,32,32, - 32,114,177,0,0,0,114,9,0,0,0,114,9,0,0,0, - 114,10,0,0,0,218,15,95,117,110,109,97,114,115,104,97, - 108,95,99,111,100,101,123,2,0,0,115,72,0,0,0,2, - 2,2,1,6,254,14,5,12,2,4,1,12,1,10,1,2, - 1,2,255,8,1,2,255,10,2,8,1,4,1,4,1,2, - 1,4,254,4,5,8,1,4,255,2,128,8,4,6,255,4, - 3,22,3,18,1,2,255,4,2,8,1,4,255,4,2,18, - 2,10,1,16,1,4,1,114,11,0,0,0,114,178,0,0, - 0,99,1,0,0,0,0,0,0,0,0,0,0,0,4,0, - 0,0,67,0,0,0,115,28,0,0,0,124,0,160,0,100, - 1,100,2,161,2,125,0,124,0,160,0,100,3,100,2,161, - 2,125,0,124,0,83,0,41,4,78,115,2,0,0,0,13, - 10,243,1,0,0,0,10,243,1,0,0,0,13,41,1,114, - 20,0,0,0,169,1,218,6,115,111,117,114,99,101,32,114, - 181,0,0,0,114,9,0,0,0,114,9,0,0,0,114,10, - 0,0,0,218,23,95,110,111,114,109,97,108,105,122,101,95, - 108,105,110,101,95,101,110,100,105,110,103,115,168,2,0,0, - 115,6,0,0,0,12,1,12,1,4,1,114,11,0,0,0, - 114,183,0,0,0,99,2,0,0,0,0,0,0,0,0,0, - 0,0,6,0,0,0,67,0,0,0,115,24,0,0,0,116, - 0,124,1,131,1,125,1,116,1,124,1,124,0,100,1,100, - 2,100,3,141,4,83,0,41,4,78,114,87,0,0,0,84, - 41,1,90,12,100,111,110,116,95,105,110,104,101,114,105,116, - 41,2,114,183,0,0,0,218,7,99,111,109,112,105,108,101, - 169,2,114,66,0,0,0,114,182,0,0,0,32,32,114,185, - 0,0,0,114,9,0,0,0,114,9,0,0,0,114,10,0, - 0,0,218,15,95,99,111,109,112,105,108,101,95,115,111,117, - 114,99,101,175,2,0,0,115,4,0,0,0,8,1,16,1, - 114,11,0,0,0,114,186,0,0,0,99,2,0,0,0,0, - 0,0,0,0,0,0,0,11,0,0,0,67,0,0,0,115, - 68,0,0,0,116,0,160,1,124,0,100,1,63,0,100,2, - 23,0,124,0,100,3,63,0,100,4,64,0,124,0,100,5, - 64,0,124,1,100,6,63,0,124,1,100,3,63,0,100,7, - 64,0,124,1,100,5,64,0,100,8,20,0,100,9,100,9, - 100,9,102,9,161,1,83,0,41,10,78,233,9,0,0,0, - 105,188,7,0,0,233,5,0,0,0,233,15,0,0,0,233, - 31,0,0,0,233,11,0,0,0,233,63,0,0,0,114,103, - 0,0,0,114,15,0,0,0,41,2,114,151,0,0,0,90, - 6,109,107,116,105,109,101,169,2,218,1,100,114,158,0,0, - 0,32,32,114,193,0,0,0,114,9,0,0,0,114,9,0, - 0,0,114,10,0,0,0,218,14,95,112,97,114,115,101,95, - 100,111,115,116,105,109,101,181,2,0,0,115,18,0,0,0, - 4,1,10,1,10,1,6,1,6,1,10,1,10,1,6,1, - 6,249,114,11,0,0,0,114,195,0,0,0,99,2,0,0, - 0,0,0,0,0,0,0,0,0,10,0,0,0,67,0,0, - 0,115,112,0,0,0,9,0,124,1,100,1,100,0,133,2, - 25,0,100,2,118,0,115,11,74,0,130,1,124,1,100,0, - 100,1,133,2,25,0,125,1,124,0,106,0,124,1,25,0, - 125,2,124,2,100,3,25,0,125,3,124,2,100,4,25,0, - 125,4,124,2,100,5,25,0,125,5,116,1,124,4,124,3, - 131,2,124,5,102,2,83,0,35,0,4,0,116,2,116,3, - 116,4,102,3,121,55,1,0,1,0,1,0,89,0,100,6, - 83,0,37,0,119,0,41,7,78,114,15,0,0,0,169,2, - 218,1,99,218,1,111,114,188,0,0,0,233,6,0,0,0, - 233,3,0,0,0,41,2,114,0,0,0,0,114,0,0,0, - 0,41,5,114,29,0,0,0,114,195,0,0,0,114,27,0, - 0,0,218,10,73,110,100,101,120,69,114,114,111,114,114,176, - 0,0,0,169,6,114,34,0,0,0,114,14,0,0,0,114, - 67,0,0,0,114,151,0,0,0,114,152,0,0,0,90,17, - 117,110,99,111,109,112,114,101,115,115,101,100,95,115,105,122, - 101,32,32,32,32,32,32,114,202,0,0,0,114,9,0,0, - 0,114,9,0,0,0,114,10,0,0,0,114,173,0,0,0, - 194,2,0,0,115,26,0,0,0,2,1,20,2,12,1,10, - 1,8,3,8,1,8,1,14,1,2,128,18,1,6,1,2, - 128,2,255,115,12,0,0,0,129,39,41,0,169,10,54,7, - 183,1,54,7,114,173,0,0,0,99,2,0,0,0,0,0, - 0,0,0,0,0,0,8,0,0,0,67,0,0,0,115,82, - 0,0,0,124,1,100,1,100,0,133,2,25,0,100,2,118, - 0,115,10,74,0,130,1,124,1,100,0,100,1,133,2,25, - 0,125,1,9,0,124,0,106,0,124,1,25,0,125,2,110, - 11,35,0,4,0,116,1,121,40,1,0,1,0,1,0,89, - 0,100,0,83,0,37,0,116,2,124,0,106,3,124,2,131, - 2,83,0,119,0,41,3,78,114,15,0,0,0,114,196,0, - 0,0,41,4,114,29,0,0,0,114,27,0,0,0,114,64, - 0,0,0,114,30,0,0,0,169,3,114,34,0,0,0,114, - 14,0,0,0,114,67,0,0,0,32,32,32,114,203,0,0, - 0,114,9,0,0,0,114,9,0,0,0,114,10,0,0,0, - 114,171,0,0,0,213,2,0,0,115,20,0,0,0,20,2, - 12,1,2,2,12,1,2,128,12,1,6,1,2,128,12,2, - 2,253,115,12,0,0,0,145,5,23,0,151,7,33,7,168, - 1,33,7,114,171,0,0,0,99,2,0,0,0,0,0,0, - 0,0,0,0,0,9,0,0,0,67,0,0,0,115,14,1, - 0,0,116,0,124,0,124,1,131,2,125,2,100,0,125,3, - 116,1,68,0,93,100,92,3,125,4,125,5,125,6,124,2, - 124,4,23,0,125,7,116,2,160,3,100,1,124,0,106,4, - 116,5,124,7,100,2,100,3,166,5,1,0,9,0,124,0, - 106,6,124,7,25,0,125,8,110,10,35,0,4,0,116,7, - 121,134,1,0,1,0,1,0,89,0,113,9,37,0,124,8, - 100,4,25,0,125,9,116,8,124,0,106,4,124,8,131,2, - 125,10,100,0,125,11,124,5,114,89,9,0,116,9,124,0, - 124,9,124,7,124,1,124,10,131,5,125,11,110,24,35,0, - 4,0,116,10,121,133,1,0,125,12,1,0,124,12,125,3, - 89,0,100,0,125,12,126,12,110,10,100,0,125,12,126,12, - 119,1,37,0,116,11,124,9,124,10,131,2,125,11,124,11, - 100,0,117,0,114,99,113,9,124,8,100,4,25,0,125,9, - 124,11,124,6,124,9,102,3,2,0,1,0,83,0,124,3, - 114,124,100,5,124,3,155,0,157,2,125,13,116,12,124,13, - 124,1,100,6,141,2,124,3,130,2,116,12,100,7,124,1, - 155,2,157,2,124,1,100,6,141,2,130,1,119,0,119,0, - 41,8,78,122,13,116,114,121,105,110,103,32,123,125,123,125, - 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9,0,124,1,100,1,100,0,133,2,25,0,100,2,118,0, + 115,11,74,0,130,1,124,1,100,0,100,1,133,2,25,0, + 125,1,124,0,106,0,124,1,25,0,125,2,124,2,100,3, + 25,0,125,3,124,2,100,4,25,0,125,4,124,2,100,5, + 25,0,125,5,116,1,124,4,124,3,131,2,124,5,102,2, + 83,0,35,0,4,0,116,2,116,3,116,4,102,3,121,55, + 1,0,1,0,1,0,89,0,100,6,83,0,37,0,119,0, + 41,7,78,114,15,0,0,0,169,2,218,1,99,218,1,111, + 114,170,0,0,0,233,6,0,0,0,233,3,0,0,0,41, + 2,114,0,0,0,0,114,0,0,0,0,41,5,114,29,0, + 0,0,114,176,0,0,0,114,27,0,0,0,218,10,73,110, + 100,101,120,69,114,114,111,114,114,161,0,0,0,41,6,114, + 33,0,0,0,114,14,0,0,0,114,62,0,0,0,114,138, + 0,0,0,114,139,0,0,0,90,17,117,110,99,111,109,112, + 114,101,115,115,101,100,95,115,105,122,101,32,32,32,32,32, + 32,114,10,0,0,0,114,158,0,0,0,194,2,0,0,115, + 26,0,0,0,2,1,20,2,12,1,10,1,8,3,8,1, + 8,1,14,1,2,128,18,1,6,1,2,128,2,255,115,12, + 0,0,0,129,39,41,0,169,10,54,7,183,1,54,7,114, + 158,0,0,0,99,2,0,0,0,0,0,0,0,0,0,0, + 0,8,0,0,0,3,0,0,0,115,82,0,0,0,124,1, + 100,1,100,0,133,2,25,0,100,2,118,0,115,10,74,0, + 130,1,124,1,100,0,100,1,133,2,25,0,125,1,9,0, + 124,0,106,0,124,1,25,0,125,2,110,11,35,0,4,0, + 116,1,121,40,1,0,1,0,1,0,89,0,100,0,83,0, + 37,0,116,2,124,0,106,3,124,2,131,2,83,0,119,0, + 41,3,78,114,15,0,0,0,114,177,0,0,0,41,4,114, + 29,0,0,0,114,27,0,0,0,114,60,0,0,0,114,30, + 0,0,0,41,3,114,33,0,0,0,114,14,0,0,0,114, + 62,0,0,0,32,32,32,114,10,0,0,0,114,156,0,0, + 0,213,2,0,0,115,20,0,0,0,20,2,12,1,2,2, + 12,1,2,128,12,1,6,1,2,128,12,2,2,253,115,12, + 0,0,0,145,5,23,0,151,7,33,7,168,1,33,7,114, + 156,0,0,0,99,2,0,0,0,0,0,0,0,0,0,0, + 0,9,0,0,0,3,0,0,0,115,14,1,0,0,116,0, + 124,0,124,1,131,2,125,2,100,0,125,3,116,1,68,0, + 93,100,92,3,125,4,125,5,125,6,124,2,124,4,23,0, + 125,7,116,2,160,3,100,1,124,0,106,4,116,5,124,7, + 100,2,100,3,166,5,1,0,9,0,124,0,106,6,124,7, + 25,0,125,8,110,10,35,0,4,0,116,7,121,134,1,0, + 1,0,1,0,89,0,113,9,37,0,124,8,100,4,25,0, + 125,9,116,8,124,0,106,4,124,8,131,2,125,10,100,0, + 125,11,124,5,114,89,9,0,116,9,124,0,124,9,124,7, + 124,1,124,10,131,5,125,11,110,24,35,0,4,0,116,10, + 121,133,1,0,125,12,1,0,124,12,125,3,89,0,100,0, + 125,12,126,12,110,10,100,0,125,12,126,12,119,1,37,0, + 116,11,124,9,124,10,131,2,125,11,124,11,100,0,117,0, + 114,99,113,9,124,8,100,4,25,0,125,9,124,11,124,6, + 124,9,102,3,2,0,1,0,83,0,124,3,114,124,100,5, + 124,3,155,0,157,2,125,13,116,12,124,13,124,1,100,6, + 141,2,124,3,130,2,116,12,100,7,124,1,155,2,157,2, + 124,1,100,6,141,2,130,1,119,0,119,0,41,8,78,122, + 13,116,114,121,105,110,103,32,123,125,123,125,123,125,114,94, + 0,0,0,41,1,90,9,118,101,114,98,111,115,105,116,121, + 114,0,0,0,0,122,20,109,111,100,117,108,101,32,108,111, + 97,100,32,102,97,105,108,101,100,58,32,114,66,0,0,0, + 114,65,0,0,0,41,13,114,40,0,0,0,114,96,0,0, + 0,114,49,0,0,0,114,82,0,0,0,114,30,0,0,0, + 114,21,0,0,0,114,29,0,0,0,114,27,0,0,0,114, + 60,0,0,0,114,162,0,0,0,114,81,0,0,0,114,168, + 0,0,0,114,3,0,0,0,41,14,114,33,0,0,0,114, + 42,0,0,0,114,14,0,0,0,90,12,105,109,112,111,114, + 116,95,101,114,114,111,114,114,97,0,0,0,114,98,0,0, + 0,114,55,0,0,0,114,70,0,0,0,114,62,0,0,0, + 114,44,0,0,0,114,133,0,0,0,114,54,0,0,0,90, + 3,101,120,99,114,83,0,0,0,32,32,32,32,32,32,32, + 32,32,32,32,32,32,32,114,10,0,0,0,114,52,0,0, + 0,228,2,0,0,115,64,0,0,0,10,1,4,1,14,1, + 8,1,22,1,2,1,12,1,2,128,12,1,4,1,2,128, + 8,2,12,1,4,1,4,1,2,1,18,1,2,128,12,1, + 14,1,10,128,10,2,8,1,2,3,8,1,14,1,4,2, + 10,1,14,1,18,2,2,241,2,247,115,42,0,0,0,158, + 5,36,2,164,7,45,9,189,8,65,6,2,193,6,7,65, + 24,9,193,13,2,65,20,9,193,20,4,65,24,9,194,5, + 1,65,24,9,194,6,1,45,9,114,52,0,0,0,41,46, + 114,92,0,0,0,90,26,95,102,114,111,122,101,110,95,105, + 109,112,111,114,116,108,105,98,95,101,120,116,101,114,110,97, + 108,114,22,0,0,0,114,1,0,0,0,114,2,0,0,0, + 90,17,95,102,114,111,122,101,110,95,105,109,112,111,114,116, + 108,105,98,114,49,0,0,0,114,155,0,0,0,114,117,0, + 0,0,114,159,0,0,0,114,73,0,0,0,114,138,0,0, + 0,114,36,0,0,0,90,7,95,95,97,108,108,95,95,114, + 21,0,0,0,90,15,112,97,116,104,95,115,101,112,97,114, + 97,116,111,114,115,114,19,0,0,0,114,81,0,0,0,114, + 3,0,0,0,114,26,0,0,0,218,4,116,121,112,101,114, + 76,0,0,0,114,120,0,0,0,114,122,0,0,0,114,124, + 0,0,0,90,13,95,76,111,97,100,101,114,66,97,115,105, + 99,115,114,4,0,0,0,114,96,0,0,0,114,40,0,0, + 0,114,41,0,0,0,114,39,0,0,0,114,28,0,0,0, + 114,129,0,0,0,114,149,0,0,0,114,151,0,0,0,114, + 60,0,0,0,114,154,0,0,0,114,162,0,0,0,218,8, + 95,95,99,111,100,101,95,95,114,160,0,0,0,114,166,0, + 0,0,114,168,0,0,0,114,176,0,0,0,114,158,0,0, + 0,114,156,0,0,0,114,52,0,0,0,114,9,0,0,0, + 114,10,0,0,0,218,8,60,109,111,100,117,108,101,62,1, + 0,0,0,115,90,0,0,0,4,0,8,16,16,1,8,1, + 8,1,8,1,8,1,8,1,8,1,8,1,8,2,6,3, + 14,1,16,3,4,4,8,2,4,2,4,1,4,1,18,2, + 0,127,0,127,12,50,12,1,2,1,2,1,4,252,8,9, + 8,4,8,9,8,31,2,126,2,254,4,29,8,5,8,21, + 8,46,8,8,10,40,8,5,8,7,8,6,8,13,8,19, + 12,15,114,11,0,0,0, }; diff --git a/Python/marshal.c b/Python/marshal.c index 3865270d6fb601..7273598ca8b1cc 100644 --- a/Python/marshal.c +++ b/Python/marshal.c @@ -520,9 +520,6 @@ w_complex_object(PyObject *v, char flag, WFILE *p) w_object(co->co_names, p); w_object(co->co_fastlocalnames, p); w_string(co->co_fastlocalkinds, co->co_nlocalsplus, p); - w_object(co->co_varnames, p); - w_object(co->co_freevars, p); - w_object(co->co_cellvars, p); w_object(co->co_filename, p); w_object(co->co_name, p); w_long(co->co_firstlineno, p); @@ -1309,9 +1306,6 @@ r_object(RFILE *p) PyObject *consts = NULL; PyObject *names = NULL; PyObject *fastlocalnames = NULL; - PyObject *varnames = NULL; - PyObject *freevars = NULL; - PyObject *cellvars = NULL; PyObject *filename = NULL; PyObject *name = NULL; int firstlineno; @@ -1362,16 +1356,6 @@ r_object(RFILE *p) } } - varnames = r_object(p); - if (varnames == NULL) - goto code_error; - Py_ssize_t nlocals = PyTuple_GET_SIZE(varnames); - freevars = r_object(p); - if (freevars == NULL) - goto code_error; - cellvars = r_object(p); - if (cellvars == NULL) - goto code_error; filename = r_object(p); if (filename == NULL) goto code_error; @@ -1390,7 +1374,8 @@ r_object(RFILE *p) if (PySys_Audit("code.__new__", "OOOiiiiii", code, filename, name, argcount, posonlyargcount, - kwonlyargcount, nlocals, stacksize, flags) < 0) { + kwonlyargcount, nlocalsplus, stacksize, + flags) < 0) { goto code_error; } @@ -1416,15 +1401,12 @@ r_object(RFILE *p) .stacksize = stacksize, .exceptiontable = exceptiontable, - - .varnames = varnames, - .cellvars = cellvars, - .freevars = freevars, }; + memcpy(con.fastlocalkinds, fastlocalkinds, nlocalsplus); + if (_PyCode_Validate(&con) < 0) { goto code_error; } - memcpy(con.fastlocalkinds, fastlocalkinds, nlocalsplus); v = (PyObject *)_PyCode_New(&con); if (v == NULL) { @@ -1437,9 +1419,6 @@ r_object(RFILE *p) Py_XDECREF(consts); Py_XDECREF(names); Py_XDECREF(fastlocalnames); - Py_XDECREF(varnames); - Py_XDECREF(freevars); - Py_XDECREF(cellvars); Py_XDECREF(filename); Py_XDECREF(name); Py_XDECREF(linetable); diff --git a/Python/suggestions.c b/Python/suggestions.c index 2e76551f363ed4..3dca4cd014fbf3 100644 --- a/Python/suggestions.c +++ b/Python/suggestions.c @@ -3,6 +3,7 @@ #include "pycore_frame.h" #include "pycore_pyerrors.h" +#include "pycore_code.h" // _PyCode_GetVarnames() #define MAX_CANDIDATE_ITEMS 750 #define MAX_STRING_SIZE 40 @@ -210,8 +211,12 @@ offer_suggestions_for_name_error(PyNameErrorObject *exc) PyFrameObject *frame = traceback->tb_frame; assert(frame != NULL); PyCodeObject *code = PyFrame_GetCode(frame); - assert(code != NULL && code->co_varnames != NULL); - PyObject *dir = PySequence_List(code->co_varnames); + assert(code != NULL && code->co_fastlocalnames != NULL); + PyObject *varnames = _PyCode_GetVarnames(code); + if (varnames == NULL) { + return NULL; + } + PyObject *dir = PySequence_List(varnames); Py_DECREF(code); if (dir == NULL) { return NULL; From a4925658685fa8b678cfca50c7d495df65e4bc98 Mon Sep 17 00:00:00 2001 From: Eric Snow Date: Fri, 21 May 2021 12:49:54 -0600 Subject: [PATCH 04/31] Update the import magic number. --- Lib/importlib/_bootstrap_external.py | 3 +- Python/ceval.c | 1 + Python/importlib_external.h | 220 +++++++++++++-------------- 3 files changed, 113 insertions(+), 111 deletions(-) diff --git a/Lib/importlib/_bootstrap_external.py b/Lib/importlib/_bootstrap_external.py index ee720f84a4b0f9..b2d8a70996b90f 100644 --- a/Lib/importlib/_bootstrap_external.py +++ b/Lib/importlib/_bootstrap_external.py @@ -355,6 +355,7 @@ def _write_atomic(path, data, mode=0o666): # Python 3.11a1 3450 Use exception table for unwinding ("zero cost" exception handling) # Python 3.11a1 3451 (Add CALL_METHOD_KW) # Python 3.11a1 3452 (drop nlocals from marshaled code objects) +# Python 3.11a1 3453 (add co_fastlocalnames and co_fastlocalkinds) # # MAGIC must change whenever the bytecode emitted by the compiler may no @@ -364,7 +365,7 @@ def _write_atomic(path, data, mode=0o666): # Whenever MAGIC_NUMBER is changed, the ranges in the magic_values array # in PC/launcher.c must also be updated. -MAGIC_NUMBER = (3452).to_bytes(2, 'little') + b'\r\n' +MAGIC_NUMBER = (3453).to_bytes(2, 'little') + b'\r\n' _RAW_MAGIC_NUMBER = int.from_bytes(MAGIC_NUMBER, 'little') # For import.c _PYCACHE = '__pycache__' diff --git a/Python/ceval.c b/Python/ceval.c index 0e8bc84e6e27b4..ed1c6f82bd121a 100644 --- a/Python/ceval.c +++ b/Python/ceval.c @@ -5061,6 +5061,7 @@ initialize_locals(PyThreadState *tstate, PyFrameConstructor *con, } } + /* Allocate and initialize storage for cell vars, and copy free vars into frame. */ for (i = 0; i < co->co_ncellvars; ++i) { diff --git a/Python/importlib_external.h b/Python/importlib_external.h index ff1e5c430578b0..5026f2ad7100cb 100644 --- a/Python/importlib_external.h +++ b/Python/importlib_external.h @@ -355,7 +355,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 176,3,47,11,179,9,62,0,190,7,65,22,7,193,6,5, 65,12,6,193,11,1,65,22,7,193,12,7,65,21,13,193, 19,3,65,22,7,193,23,1,65,21,13,193,24,1,65,22, - 7,114,95,0,0,0,105,124,13,0,0,114,45,0,0,0, + 7,114,95,0,0,0,105,125,13,0,0,114,45,0,0,0, 114,33,0,0,0,115,2,0,0,0,13,10,90,11,95,95, 112,121,99,97,99,104,101,95,95,122,4,111,112,116,45,122, 3,46,112,121,122,4,46,112,121,119,122,4,46,112,121,99, @@ -469,7 +469,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 97,108,109,111,115,116,95,102,105,108,101,110,97,109,101,218, 8,102,105,108,101,110,97,109,101,32,32,32,32,32,32,32, 32,32,32,32,32,114,7,0,0,0,218,17,99,97,99,104, - 101,95,102,114,111,109,95,115,111,117,114,99,101,127,1,0, + 101,95,102,114,111,109,95,115,111,117,114,99,101,128,1,0, 0,115,72,0,0,0,8,18,6,1,2,1,4,255,8,2, 4,1,8,1,12,1,10,1,12,1,16,1,8,1,8,1, 8,1,24,1,8,1,12,1,6,1,8,2,8,1,8,1, @@ -550,7 +550,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 90,9,111,112,116,95,108,101,118,101,108,90,13,98,97,115, 101,95,102,105,108,101,110,97,109,101,32,32,32,32,32,32, 32,32,32,32,114,7,0,0,0,218,17,115,111,117,114,99, - 101,95,102,114,111,109,95,99,97,99,104,101,198,1,0,0, + 101,95,102,114,111,109,95,99,97,99,104,101,199,1,0,0, 115,60,0,0,0,12,9,8,1,10,1,12,1,4,1,10, 1,12,1,14,1,16,1,4,1,4,1,12,1,8,1,8, 1,2,1,8,255,10,2,8,1,14,1,8,1,16,1,10, @@ -585,7 +585,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 112,97,116,104,114,119,0,0,0,218,1,95,90,9,101,120, 116,101,110,115,105,111,110,218,11,115,111,117,114,99,101,95, 112,97,116,104,32,32,32,32,32,114,7,0,0,0,218,15, - 95,103,101,116,95,115,111,117,114,99,101,102,105,108,101,238, + 95,103,101,116,95,115,111,117,114,99,101,102,105,108,101,239, 1,0,0,115,26,0,0,0,12,7,4,1,16,1,24,1, 4,1,2,1,10,1,2,128,16,1,16,1,2,128,16,1, 2,254,115,12,0,0,0,159,4,36,0,164,15,53,7,190, @@ -599,7 +599,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 58,0,0,0,218,5,116,117,112,108,101,114,127,0,0,0, 114,121,0,0,0,114,107,0,0,0,114,113,0,0,0,41, 1,114,120,0,0,0,32,114,7,0,0,0,218,11,95,103, - 101,116,95,99,97,99,104,101,100,1,2,0,0,115,22,0, + 101,116,95,99,97,99,104,101,100,2,2,0,0,115,22,0, 0,0,14,1,2,1,8,1,2,128,12,1,6,1,2,128, 14,1,4,1,4,2,2,251,115,12,0,0,0,136,3,12, 0,140,7,22,7,162,1,22,7,114,137,0,0,0,99,1, @@ -614,7 +614,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 108,101,46,114,87,0,0,0,233,128,0,0,0,78,41,3, 114,75,0,0,0,114,77,0,0,0,114,76,0,0,0,41, 2,114,65,0,0,0,114,78,0,0,0,32,32,114,7,0, - 0,0,218,10,95,99,97,108,99,95,109,111,100,101,13,2, + 0,0,218,10,95,99,97,108,99,95,109,111,100,101,14,2, 0,0,115,18,0,0,0,2,2,12,1,2,128,12,1,8, 1,2,128,8,3,4,1,2,251,115,12,0,0,0,129,5, 7,0,135,9,18,7,153,1,18,7,114,139,0,0,0,99, @@ -653,7 +653,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 97,114,103,115,218,6,107,119,97,114,103,115,218,6,109,101, 116,104,111,100,32,32,32,32,128,114,7,0,0,0,218,19, 95,99,104,101,99,107,95,110,97,109,101,95,119,114,97,112, - 112,101,114,33,2,0,0,115,18,0,0,0,8,1,8,1, + 112,101,114,34,2,0,0,115,18,0,0,0,8,1,8,1, 10,1,4,1,12,1,2,255,2,1,6,255,24,2,114,9, 0,0,0,122,40,95,99,104,101,99,107,95,110,97,109,101, 46,60,108,111,99,97,108,115,62,46,95,99,104,101,99,107, @@ -671,14 +671,14 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 95,95,100,105,99,116,95,95,218,6,117,112,100,97,116,101, 41,3,90,3,110,101,119,90,3,111,108,100,114,85,0,0, 0,32,32,32,114,7,0,0,0,218,5,95,119,114,97,112, - 46,2,0,0,115,10,0,0,0,8,1,10,1,18,1,2, + 47,2,0,0,115,10,0,0,0,8,1,10,1,18,1,2, 128,18,1,114,9,0,0,0,122,26,95,99,104,101,99,107, 95,110,97,109,101,46,60,108,111,99,97,108,115,62,46,95, 119,114,97,112,114,69,0,0,0,41,2,218,10,95,98,111, 111,116,115,116,114,97,112,114,157,0,0,0,41,4,114,146, 0,0,0,114,147,0,0,0,114,157,0,0,0,114,146,0, 0,0,96,32,32,64,114,7,0,0,0,218,11,95,99,104, - 101,99,107,95,110,97,109,101,25,2,0,0,115,12,0,0, + 101,99,107,95,110,97,109,101,26,2,0,0,115,12,0,0, 0,14,8,8,10,8,1,8,2,10,6,4,1,114,9,0, 0,0,114,159,0,0,0,99,2,0,0,0,0,0,0,0, 0,0,0,0,6,0,0,0,3,0,0,0,115,72,0,0, @@ -713,7 +713,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 218,6,108,111,97,100,101,114,218,8,112,111,114,116,105,111, 110,115,218,3,109,115,103,32,32,32,32,32,114,7,0,0, 0,218,17,95,102,105,110,100,95,109,111,100,117,108,101,95, - 115,104,105,109,56,2,0,0,115,16,0,0,0,6,7,2, + 115,104,105,109,57,2,0,0,115,16,0,0,0,6,7,2, 2,4,254,14,6,16,1,4,1,22,1,4,1,114,9,0, 0,0,114,166,0,0,0,99,3,0,0,0,0,0,0,0, 0,0,0,0,4,0,0,0,3,0,0,0,115,166,0,0, @@ -780,7 +780,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 0,218,11,101,120,99,95,100,101,116,97,105,108,115,90,5, 109,97,103,105,99,114,117,0,0,0,114,17,0,0,0,32, 32,32,32,32,32,114,7,0,0,0,218,13,95,99,108,97, - 115,115,105,102,121,95,112,121,99,76,2,0,0,115,28,0, + 115,115,105,102,121,95,112,121,99,77,2,0,0,115,28,0, 0,0,12,16,8,1,16,1,12,1,16,1,12,1,10,1, 12,1,8,1,16,1,8,2,16,1,16,1,4,1,114,9, 0,0,0,114,175,0,0,0,99,5,0,0,0,0,0,0, @@ -835,7 +835,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 101,95,115,105,122,101,114,141,0,0,0,114,174,0,0,0, 114,117,0,0,0,32,32,32,32,32,32,114,7,0,0,0, 218,23,95,118,97,108,105,100,97,116,101,95,116,105,109,101, - 115,116,97,109,112,95,112,121,99,109,2,0,0,115,18,0, + 115,116,97,109,112,95,112,121,99,110,2,0,0,115,18,0, 0,0,24,19,10,1,12,1,16,1,8,1,22,1,2,255, 22,2,8,254,114,9,0,0,0,114,179,0,0,0,99,4, 0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,3, @@ -881,7 +881,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 114,42,0,0,0,218,11,115,111,117,114,99,101,95,104,97, 115,104,114,141,0,0,0,114,174,0,0,0,32,32,32,32, 114,7,0,0,0,218,18,95,118,97,108,105,100,97,116,101, - 95,104,97,115,104,95,112,121,99,137,2,0,0,115,14,0, + 95,104,97,115,104,95,112,121,99,138,2,0,0,115,14,0, 0,0,16,17,2,1,8,1,4,255,2,2,6,254,4,255, 114,9,0,0,0,114,181,0,0,0,99,4,0,0,0,0, 0,0,0,0,0,0,0,5,0,0,0,3,0,0,0,115, @@ -905,7 +905,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 0,114,141,0,0,0,114,132,0,0,0,114,134,0,0,0, 218,4,99,111,100,101,32,32,32,32,32,114,7,0,0,0, 218,17,95,99,111,109,112,105,108,101,95,98,121,116,101,99, - 111,100,101,161,2,0,0,115,18,0,0,0,10,2,10,1, + 111,100,101,162,2,0,0,115,18,0,0,0,10,2,10,1, 12,1,8,1,12,1,4,1,10,2,4,1,6,255,114,9, 0,0,0,114,188,0,0,0,99,3,0,0,0,0,0,0, 0,0,0,0,0,5,0,0,0,3,0,0,0,115,70,0, @@ -923,7 +923,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 5,109,116,105,109,101,114,178,0,0,0,114,42,0,0,0, 32,32,32,32,114,7,0,0,0,218,22,95,99,111,100,101, 95,116,111,95,116,105,109,101,115,116,97,109,112,95,112,121, - 99,174,2,0,0,115,12,0,0,0,8,2,14,1,14,1, + 99,175,2,0,0,115,12,0,0,0,8,2,14,1,14,1, 14,1,16,1,4,1,114,9,0,0,0,114,193,0,0,0, 84,99,3,0,0,0,0,0,0,0,0,0,0,0,5,0, 0,0,3,0,0,0,115,80,0,0,0,116,0,116,1,131, @@ -941,7 +941,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 0,90,7,99,104,101,99,107,101,100,114,42,0,0,0,114, 17,0,0,0,32,32,32,32,32,114,7,0,0,0,218,17, 95,99,111,100,101,95,116,111,95,104,97,115,104,95,112,121, - 99,184,2,0,0,115,14,0,0,0,8,2,12,1,14,1, + 99,185,2,0,0,115,14,0,0,0,8,2,12,1,14,1, 16,1,10,1,16,1,4,1,114,9,0,0,0,114,194,0, 0,0,99,1,0,0,0,0,0,0,0,0,0,0,0,6, 0,0,0,3,0,0,0,115,62,0,0,0,100,1,100,2, @@ -968,7 +968,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 110,101,218,8,101,110,99,111,100,105,110,103,90,15,110,101, 119,108,105,110,101,95,100,101,99,111,100,101,114,32,32,32, 32,32,114,7,0,0,0,218,13,100,101,99,111,100,101,95, - 115,111,117,114,99,101,195,2,0,0,115,10,0,0,0,8, + 115,111,117,114,99,101,196,2,0,0,115,10,0,0,0,8, 5,12,1,10,1,12,1,20,1,114,9,0,0,0,114,199, 0,0,0,169,2,114,163,0,0,0,218,26,115,117,98,109, 111,100,117,108,101,95,115,101,97,114,99,104,95,108,111,99, @@ -1033,7 +1033,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 8,115,117,102,102,105,120,101,115,114,205,0,0,0,90,7, 100,105,114,110,97,109,101,32,32,32,32,32,32,32,32,32, 114,7,0,0,0,218,23,115,112,101,99,95,102,114,111,109, - 95,102,105,108,101,95,108,111,99,97,116,105,111,110,212,2, + 95,102,105,108,101,95,108,111,99,97,116,105,111,110,213,2, 0,0,115,96,0,0,0,8,12,4,4,10,1,2,2,12, 1,2,128,12,1,4,1,2,128,2,251,10,7,8,1,2, 1,16,1,2,128,12,1,4,1,2,128,16,8,6,1,8, @@ -1075,7 +1075,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 82,69,78,84,95,85,83,69,82,114,76,0,0,0,90,18, 72,75,69,89,95,76,79,67,65,76,95,77,65,67,72,73, 78,69,114,20,0,0,0,32,114,7,0,0,0,218,14,95, - 111,112,101,110,95,114,101,103,105,115,116,114,121,41,3,0, + 111,112,101,110,95,114,101,103,105,115,116,114,121,42,3,0, 0,115,14,0,0,0,2,2,14,1,2,128,12,1,18,1, 2,128,2,255,115,12,0,0,0,129,6,8,0,136,14,24, 7,153,1,24,7,122,36,87,105,110,100,111,119,115,82,101, @@ -1104,7 +1104,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 107,101,121,114,21,0,0,0,90,4,104,107,101,121,218,8, 102,105,108,101,112,97,116,104,32,32,32,32,32,32,114,7, 0,0,0,218,16,95,115,101,97,114,99,104,95,114,101,103, - 105,115,116,114,121,48,3,0,0,115,34,0,0,0,6,2, + 105,115,116,114,121,49,3,0,0,115,34,0,0,0,6,2, 8,1,6,2,6,1,16,1,6,255,2,2,12,1,12,1, 12,255,22,128,4,4,2,128,12,254,6,1,2,128,2,255, 115,39,0,0,0,153,5,56,0,158,7,43,3,165,6,56, @@ -1129,7 +1129,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 162,0,0,0,114,65,0,0,0,218,6,116,97,114,103,101, 116,114,221,0,0,0,114,163,0,0,0,114,211,0,0,0, 114,209,0,0,0,32,32,32,32,32,32,32,32,114,7,0, - 0,0,218,9,102,105,110,100,95,115,112,101,99,63,3,0, + 0,0,218,9,102,105,110,100,95,115,112,101,99,64,3,0, 0,115,38,0,0,0,10,2,8,1,4,1,2,1,10,1, 2,128,12,1,6,1,2,128,14,1,14,1,6,1,8,1, 2,1,6,254,8,3,2,252,4,255,2,254,115,12,0,0, @@ -1158,7 +1158,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 101,0,0,0,114,225,0,0,0,114,163,0,0,0,169,4, 114,220,0,0,0,114,162,0,0,0,114,65,0,0,0,114, 209,0,0,0,32,32,32,32,114,7,0,0,0,218,11,102, - 105,110,100,95,109,111,100,117,108,101,79,3,0,0,115,14, + 105,110,100,95,109,111,100,117,108,101,80,3,0,0,115,14, 0,0,0,6,7,2,2,4,254,12,3,8,1,6,1,4, 2,114,9,0,0,0,122,33,87,105,110,100,111,119,115,82, 101,103,105,115,116,114,121,70,105,110,100,101,114,46,102,105, @@ -1171,7 +1171,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 109,101,116,104,111,100,114,215,0,0,0,218,11,99,108,97, 115,115,109,101,116,104,111,100,114,222,0,0,0,114,225,0, 0,0,114,228,0,0,0,114,12,0,0,0,114,7,0,0, - 0,114,213,0,0,0,29,3,0,0,115,30,0,0,0,8, + 0,114,213,0,0,0,30,3,0,0,115,30,0,0,0,8, 0,4,2,2,3,2,255,2,4,2,255,12,3,2,2,10, 1,2,6,10,1,2,14,12,1,2,15,16,1,114,9,0, 0,0,114,213,0,0,0,99,0,0,0,0,0,0,0,0, @@ -1207,7 +1207,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 0,0,0,114,120,0,0,0,90,13,102,105,108,101,110,97, 109,101,95,98,97,115,101,90,9,116,97,105,108,95,110,97, 109,101,32,32,32,32,32,114,7,0,0,0,114,205,0,0, - 0,101,3,0,0,115,8,0,0,0,18,3,16,1,14,1, + 0,102,3,0,0,115,8,0,0,0,18,3,16,1,14,1, 16,1,114,9,0,0,0,122,24,95,76,111,97,100,101,114, 66,97,115,105,99,115,46,105,115,95,112,97,99,107,97,103, 101,99,2,0,0,0,0,0,0,0,0,0,0,0,1,0, @@ -1217,7 +1217,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 99,114,101,97,116,105,111,110,46,78,114,12,0,0,0,169, 2,114,143,0,0,0,114,209,0,0,0,32,32,114,7,0, 0,0,218,13,99,114,101,97,116,101,95,109,111,100,117,108, - 101,109,3,0,0,243,2,0,0,0,4,0,114,9,0,0, + 101,110,3,0,0,243,2,0,0,0,4,0,114,9,0,0, 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, 0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,3, @@ -1236,7 +1236,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 115,95,114,101,109,111,118,101,100,218,4,101,120,101,99,114, 155,0,0,0,41,3,114,143,0,0,0,218,6,109,111,100, 117,108,101,114,187,0,0,0,32,32,32,114,7,0,0,0, - 218,11,101,120,101,99,95,109,111,100,117,108,101,112,3,0, + 218,11,101,120,101,99,95,109,111,100,117,108,101,113,3,0, 0,115,12,0,0,0,12,2,8,1,4,1,8,1,4,255, 20,2,114,9,0,0,0,122,25,95,76,111,97,100,101,114, 66,97,115,105,99,115,46,101,120,101,99,95,109,111,100,117, @@ -1248,13 +1248,13 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 95,108,111,97,100,95,109,111,100,117,108,101,95,115,104,105, 109,169,2,114,143,0,0,0,114,162,0,0,0,32,32,114, 7,0,0,0,218,11,108,111,97,100,95,109,111,100,117,108, - 101,120,3,0,0,115,2,0,0,0,12,3,114,9,0,0, + 101,121,3,0,0,115,2,0,0,0,12,3,114,9,0,0, 0,122,25,95,76,111,97,100,101,114,66,97,115,105,99,115, 46,108,111,97,100,95,109,111,100,117,108,101,78,41,8,114, 149,0,0,0,114,148,0,0,0,114,150,0,0,0,114,151, 0,0,0,114,205,0,0,0,114,238,0,0,0,114,244,0, 0,0,114,247,0,0,0,114,12,0,0,0,114,7,0,0, - 0,114,234,0,0,0,96,3,0,0,115,12,0,0,0,8, + 0,114,234,0,0,0,97,3,0,0,115,12,0,0,0,8, 0,4,2,8,3,8,8,8,3,12,8,114,9,0,0,0, 114,234,0,0,0,99,0,0,0,0,0,0,0,0,0,0, 0,0,3,0,0,0,0,0,0,0,115,74,0,0,0,101, @@ -1278,7 +1278,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 97,110,100,108,101,100,46,10,32,32,32,32,32,32,32,32, 78,41,1,114,76,0,0,0,169,2,114,143,0,0,0,114, 65,0,0,0,32,32,114,7,0,0,0,218,10,112,97,116, - 104,95,109,116,105,109,101,128,3,0,0,115,2,0,0,0, + 104,95,109,116,105,109,101,129,3,0,0,115,2,0,0,0, 4,6,114,9,0,0,0,122,23,83,111,117,114,99,101,76, 111,97,100,101,114,46,112,97,116,104,95,109,116,105,109,101, 99,2,0,0,0,0,0,0,0,0,0,0,0,4,0,0, @@ -1312,7 +1312,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 108,101,100,46,10,32,32,32,32,32,32,32,32,114,192,0, 0,0,78,41,1,114,250,0,0,0,114,249,0,0,0,32, 32,114,7,0,0,0,218,10,112,97,116,104,95,115,116,97, - 116,115,136,3,0,0,115,2,0,0,0,14,12,114,9,0, + 116,115,137,3,0,0,115,2,0,0,0,14,12,114,9,0, 0,0,122,23,83,111,117,114,99,101,76,111,97,100,101,114, 46,112,97,116,104,95,115,116,97,116,115,99,4,0,0,0, 0,0,0,0,0,0,0,0,4,0,0,0,3,0,0,0, @@ -1335,7 +1335,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 116,95,100,97,116,97,41,4,114,143,0,0,0,114,134,0, 0,0,90,10,99,97,99,104,101,95,112,97,116,104,114,42, 0,0,0,32,32,32,32,114,7,0,0,0,218,15,95,99, - 97,99,104,101,95,98,121,116,101,99,111,100,101,150,3,0, + 97,99,104,101,95,98,121,116,101,99,111,100,101,151,3,0, 0,115,2,0,0,0,12,8,114,9,0,0,0,122,28,83, 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, @@ -1352,7 +1352,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 102,105,108,101,115,46,10,32,32,32,32,32,32,32,32,78, 114,12,0,0,0,41,3,114,143,0,0,0,114,65,0,0, 0,114,42,0,0,0,32,32,32,114,7,0,0,0,114,252, - 0,0,0,160,3,0,0,114,239,0,0,0,114,9,0,0, + 0,0,0,161,3,0,0,114,239,0,0,0,114,9,0,0, 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, 0,0,0,0,0,8,0,0,0,3,0,0,0,115,70,0, @@ -1372,7 +1372,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 5,114,143,0,0,0,114,162,0,0,0,114,65,0,0,0, 114,197,0,0,0,218,3,101,120,99,32,32,32,32,32,114, 7,0,0,0,218,10,103,101,116,95,115,111,117,114,99,101, - 167,3,0,0,115,26,0,0,0,10,2,2,1,10,1,8, + 168,3,0,0,115,26,0,0,0,10,2,2,1,10,1,8, 4,2,128,12,253,4,1,2,1,4,255,2,1,2,255,10, 128,2,255,115,20,0,0,0,134,5,15,0,143,7,33,7, 150,7,29,7,157,4,33,7,162,1,33,7,122,23,83,111, @@ -1395,7 +1395,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 114,241,0,0,0,218,7,99,111,109,112,105,108,101,41,4, 114,143,0,0,0,114,42,0,0,0,114,65,0,0,0,114, 1,1,0,0,32,32,32,32,114,7,0,0,0,218,14,115, - 111,117,114,99,101,95,116,111,95,99,111,100,101,177,3,0, + 111,117,114,99,101,95,116,111,95,99,111,100,101,178,3,0, 0,115,6,0,0,0,12,5,4,1,6,255,114,9,0,0, 0,122,27,83,111,117,114,99,101,76,111,97,100,101,114,46, 115,111,117,114,99,101,95,116,111,95,99,111,100,101,99,2, @@ -1473,7 +1473,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 0,0,0,90,10,98,121,116,101,115,95,100,97,116,97,90, 11,99,111,100,101,95,111,98,106,101,99,116,32,32,32,32, 32,32,32,32,32,32,32,32,32,32,32,114,7,0,0,0, - 114,240,0,0,0,185,3,0,0,115,188,0,0,0,10,7, + 114,240,0,0,0,186,3,0,0,115,188,0,0,0,10,7, 4,1,4,1,4,1,4,1,4,1,2,1,10,1,2,128, 14,1,8,1,2,128,2,2,12,1,2,128,14,1,4,1, 2,128,12,2,2,1,12,1,2,128,14,1,4,1,2,128, @@ -1496,7 +1496,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 0,0,0,114,150,0,0,0,114,250,0,0,0,114,251,0, 0,0,114,253,0,0,0,114,252,0,0,0,114,0,1,0, 0,114,4,1,0,0,114,240,0,0,0,114,12,0,0,0, - 114,7,0,0,0,114,248,0,0,0,126,3,0,0,115,16, + 114,7,0,0,0,114,248,0,0,0,127,3,0,0,115,16, 0,0,0,8,0,8,2,8,8,8,14,8,10,8,7,14, 10,12,8,114,9,0,0,0,114,248,0,0,0,99,0,0, 0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0, @@ -1523,7 +1523,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 116,104,101,10,32,32,32,32,32,32,32,32,102,105,110,100, 101,114,46,78,114,182,0,0,0,41,3,114,143,0,0,0, 114,162,0,0,0,114,65,0,0,0,32,32,32,114,7,0, - 0,0,114,235,0,0,0,19,4,0,0,115,4,0,0,0, + 0,0,114,235,0,0,0,20,4,0,0,115,4,0,0,0, 6,3,10,1,114,9,0,0,0,122,19,70,105,108,101,76, 111,97,100,101,114,46,95,95,105,110,105,116,95,95,99,2, 0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,3, @@ -1532,7 +1532,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 114,69,0,0,0,169,2,218,9,95,95,99,108,97,115,115, 95,95,114,155,0,0,0,169,2,114,143,0,0,0,90,5, 111,116,104,101,114,32,32,114,7,0,0,0,218,6,95,95, - 101,113,95,95,25,4,0,0,243,6,0,0,0,12,1,10, + 101,113,95,95,26,4,0,0,243,6,0,0,0,12,1,10, 1,2,255,114,9,0,0,0,122,17,70,105,108,101,76,111, 97,100,101,114,46,95,95,101,113,95,95,99,1,0,0,0, 0,0,0,0,0,0,0,0,3,0,0,0,3,0,0,0, @@ -1540,7 +1540,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 0,106,2,131,1,65,0,83,0,114,69,0,0,0,169,3, 218,4,104,97,115,104,114,141,0,0,0,114,65,0,0,0, 169,1,114,143,0,0,0,32,114,7,0,0,0,218,8,95, - 95,104,97,115,104,95,95,29,4,0,0,243,2,0,0,0, + 95,104,97,115,104,95,95,30,4,0,0,243,2,0,0,0, 20,1,114,9,0,0,0,122,19,70,105,108,101,76,111,97, 100,101,114,46,95,95,104,97,115,104,95,95,99,2,0,0, 0,0,0,0,0,0,0,0,0,3,0,0,0,3,0,0, @@ -1555,7 +1555,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 3,218,5,115,117,112,101,114,114,10,1,0,0,114,247,0, 0,0,41,3,114,143,0,0,0,114,162,0,0,0,114,13, 1,0,0,32,32,128,114,7,0,0,0,114,247,0,0,0, - 32,4,0,0,115,2,0,0,0,16,10,114,9,0,0,0, + 33,4,0,0,115,2,0,0,0,16,10,114,9,0,0,0, 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, 0,0,0,0,0,1,0,0,0,3,0,0,0,243,6,0, @@ -1564,7 +1564,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 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, 105,110,100,101,114,46,78,114,74,0,0,0,114,246,0,0, - 0,32,32,114,7,0,0,0,114,202,0,0,0,44,4,0, + 0,32,32,114,7,0,0,0,114,202,0,0,0,45,4,0, 0,243,2,0,0,0,6,3,114,9,0,0,0,122,23,70, 105,108,101,76,111,97,100,101,114,46,103,101,116,95,102,105, 108,101,110,97,109,101,99,2,0,0,0,0,0,0,0,0, @@ -1586,7 +1586,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 112,101,110,95,99,111,100,101,114,109,0,0,0,90,4,114, 101,97,100,114,92,0,0,0,41,3,114,143,0,0,0,114, 65,0,0,0,114,94,0,0,0,32,32,32,114,7,0,0, - 0,114,254,0,0,0,49,4,0,0,115,22,0,0,0,14, + 0,114,254,0,0,0,50,4,0,0,115,22,0,0,0,14, 2,16,1,6,1,14,255,22,128,4,0,14,3,6,1,14, 255,22,128,4,0,115,24,0,0,0,142,4,25,3,153,4, 29,11,158,3,29,11,172,4,55,3,183,4,59,11,188,3, @@ -1600,7 +1600,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 114,29,1,0,0,41,3,114,143,0,0,0,114,243,0,0, 0,114,29,1,0,0,32,32,32,114,7,0,0,0,218,19, 103,101,116,95,114,101,115,111,117,114,99,101,95,114,101,97, - 100,101,114,58,4,0,0,115,4,0,0,0,12,2,8,1, + 100,101,114,59,4,0,0,115,4,0,0,0,12,2,8,1, 114,9,0,0,0,122,30,70,105,108,101,76,111,97,100,101, 114,46,103,101,116,95,114,101,115,111,117,114,99,101,95,114, 101,97,100,101,114,41,13,114,149,0,0,0,114,148,0,0, @@ -1609,7 +1609,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 247,0,0,0,114,202,0,0,0,114,254,0,0,0,114,31, 1,0,0,90,13,95,95,99,108,97,115,115,99,101,108,108, 95,95,41,1,114,13,1,0,0,64,114,7,0,0,0,114, - 10,1,0,0,14,4,0,0,115,24,0,0,0,8,0,4, + 10,1,0,0,15,4,0,0,115,24,0,0,0,8,0,4, 2,8,3,8,6,8,4,2,3,14,1,2,11,10,1,8, 4,2,9,18,1,114,9,0,0,0,114,10,1,0,0,99, 0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0, @@ -1631,7 +1631,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 75,0,0,0,218,8,115,116,95,109,116,105,109,101,90,7, 115,116,95,115,105,122,101,41,3,114,143,0,0,0,114,65, 0,0,0,114,9,1,0,0,32,32,32,114,7,0,0,0, - 114,251,0,0,0,68,4,0,0,115,4,0,0,0,8,2, + 114,251,0,0,0,69,4,0,0,115,4,0,0,0,8,2, 14,1,114,9,0,0,0,122,27,83,111,117,114,99,101,70, 105,108,101,76,111,97,100,101,114,46,112,97,116,104,95,115, 116,97,116,115,99,4,0,0,0,0,0,0,0,0,0,0, @@ -1641,7 +1641,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 100,101,41,2,114,139,0,0,0,114,252,0,0,0,41,5, 114,143,0,0,0,114,134,0,0,0,114,132,0,0,0,114, 42,0,0,0,114,78,0,0,0,32,32,32,32,32,114,7, - 0,0,0,114,253,0,0,0,73,4,0,0,115,4,0,0, + 0,0,0,114,253,0,0,0,74,4,0,0,115,4,0,0, 0,8,2,16,1,114,9,0,0,0,122,32,83,111,117,114, 99,101,70,105,108,101,76,111,97,100,101,114,46,95,99,97, 99,104,101,95,98,121,116,101,99,111,100,101,114,87,0,0, @@ -1676,7 +1676,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 0,0,114,42,0,0,0,114,35,1,0,0,218,6,112,97, 114,101,110,116,114,120,0,0,0,114,63,0,0,0,114,68, 0,0,0,114,255,0,0,0,32,32,32,32,32,32,32,32, - 32,114,7,0,0,0,114,252,0,0,0,78,4,0,0,115, + 32,114,7,0,0,0,114,252,0,0,0,79,4,0,0,115, 60,0,0,0,12,2,4,1,12,2,12,1,10,1,12,254, 12,4,10,1,2,1,12,1,2,128,12,1,4,2,12,1, 6,3,4,1,4,255,14,2,10,128,2,1,12,1,16,1, @@ -1690,7 +1690,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 7,114,149,0,0,0,114,148,0,0,0,114,150,0,0,0, 114,151,0,0,0,114,251,0,0,0,114,253,0,0,0,114, 252,0,0,0,114,12,0,0,0,114,7,0,0,0,114,32, - 1,0,0,64,4,0,0,115,10,0,0,0,8,0,4,2, + 1,0,0,65,4,0,0,115,10,0,0,0,8,0,4,2, 8,2,8,5,18,5,114,9,0,0,0,114,32,1,0,0, 99,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0, 0,0,0,0,0,115,32,0,0,0,101,0,90,1,100,0, @@ -1711,7 +1711,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 254,0,0,0,114,175,0,0,0,114,188,0,0,0,114,6, 1,0,0,41,5,114,143,0,0,0,114,162,0,0,0,114, 65,0,0,0,114,42,0,0,0,114,174,0,0,0,32,32, - 32,32,32,114,7,0,0,0,114,240,0,0,0,113,4,0, + 32,32,32,114,7,0,0,0,114,240,0,0,0,114,4,0, 0,115,22,0,0,0,10,1,10,1,2,4,2,1,6,254, 12,4,2,1,14,1,2,1,2,1,6,253,114,9,0,0, 0,122,29,83,111,117,114,99,101,108,101,115,115,70,105,108, @@ -1721,13 +1721,13 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 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, 99,111,100,101,46,78,114,12,0,0,0,114,246,0,0,0, - 32,32,114,7,0,0,0,114,0,1,0,0,129,4,0,0, + 32,32,114,7,0,0,0,114,0,1,0,0,130,4,0,0, 114,25,0,0,0,114,9,0,0,0,122,31,83,111,117,114, 99,101,108,101,115,115,70,105,108,101,76,111,97,100,101,114, 46,103,101,116,95,115,111,117,114,99,101,78,41,6,114,149, 0,0,0,114,148,0,0,0,114,150,0,0,0,114,151,0, 0,0,114,240,0,0,0,114,0,1,0,0,114,12,0,0, - 0,114,7,0,0,0,114,39,1,0,0,109,4,0,0,115, + 0,114,7,0,0,0,114,39,1,0,0,110,4,0,0,115, 8,0,0,0,8,0,4,2,8,2,12,16,114,9,0,0, 0,114,39,1,0,0,99,0,0,0,0,0,0,0,0,0, 0,0,0,3,0,0,0,0,0,0,0,115,92,0,0,0, @@ -1748,19 +1748,19 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 95,0,124,2,124,0,95,1,100,0,83,0,114,69,0,0, 0,114,182,0,0,0,41,3,114,143,0,0,0,114,141,0, 0,0,114,65,0,0,0,32,32,32,114,7,0,0,0,114, - 235,0,0,0,142,4,0,0,115,4,0,0,0,6,1,10, + 235,0,0,0,143,4,0,0,115,4,0,0,0,6,1,10, 1,114,9,0,0,0,122,28,69,120,116,101,110,115,105,111, 110,70,105,108,101,76,111,97,100,101,114,46,95,95,105,110, 105,116,95,95,99,2,0,0,0,0,0,0,0,0,0,0, 0,2,0,0,0,3,0,0,0,114,11,1,0,0,114,69, 0,0,0,114,12,1,0,0,114,14,1,0,0,32,32,114, - 7,0,0,0,114,15,1,0,0,146,4,0,0,114,16,1, + 7,0,0,0,114,15,1,0,0,147,4,0,0,114,16,1, 0,0,114,9,0,0,0,122,26,69,120,116,101,110,115,105, 111,110,70,105,108,101,76,111,97,100,101,114,46,95,95,101, 113,95,95,99,1,0,0,0,0,0,0,0,0,0,0,0, 3,0,0,0,3,0,0,0,114,17,1,0,0,114,69,0, 0,0,114,18,1,0,0,114,20,1,0,0,32,114,7,0, - 0,0,114,21,1,0,0,150,4,0,0,114,22,1,0,0, + 0,0,114,21,1,0,0,151,4,0,0,114,22,1,0,0, 114,9,0,0,0,122,28,69,120,116,101,110,115,105,111,110, 70,105,108,101,76,111,97,100,101,114,46,95,95,104,97,115, 104,95,95,99,2,0,0,0,0,0,0,0,0,0,0,0, @@ -1777,7 +1777,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 110,97,109,105,99,114,172,0,0,0,114,141,0,0,0,114, 65,0,0,0,41,3,114,143,0,0,0,114,209,0,0,0, 114,243,0,0,0,32,32,32,114,7,0,0,0,114,238,0, - 0,0,153,4,0,0,115,14,0,0,0,4,2,6,1,4, + 0,0,154,4,0,0,115,14,0,0,0,4,2,6,1,4, 255,6,2,8,1,4,255,4,2,114,9,0,0,0,122,33, 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, @@ -1794,7 +1794,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 120,101,99,95,100,121,110,97,109,105,99,114,172,0,0,0, 114,141,0,0,0,114,65,0,0,0,169,2,114,143,0,0, 0,114,243,0,0,0,32,32,114,7,0,0,0,114,244,0, - 0,0,161,4,0,0,115,8,0,0,0,14,2,6,1,8, + 0,0,162,4,0,0,115,8,0,0,0,14,2,6,1,8, 1,8,255,114,9,0,0,0,122,31,69,120,116,101,110,115, 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, @@ -1811,7 +1811,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 0,113,2,100,1,83,0,41,2,114,235,0,0,0,78,114, 12,0,0,0,41,3,114,5,0,0,0,218,6,115,117,102, 102,105,120,218,9,102,105,108,101,95,110,97,109,101,32,32, - 128,114,7,0,0,0,114,8,0,0,0,170,4,0,0,115, + 128,114,7,0,0,0,114,8,0,0,0,171,4,0,0,115, 6,0,0,0,6,128,2,1,20,255,114,9,0,0,0,122, 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, @@ -1819,7 +1819,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 114,62,78,41,4,114,73,0,0,0,114,65,0,0,0,218, 3,97,110,121,114,231,0,0,0,41,3,114,143,0,0,0, 114,162,0,0,0,114,42,1,0,0,32,32,64,114,7,0, - 0,0,114,205,0,0,0,167,4,0,0,115,8,0,0,0, + 0,0,114,205,0,0,0,168,4,0,0,115,8,0,0,0, 14,2,12,1,2,1,8,255,114,9,0,0,0,122,30,69, 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, @@ -1830,7 +1830,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 110,110,111,116,32,99,114,101,97,116,101,32,97,32,99,111, 100,101,32,111,98,106,101,99,116,46,78,114,12,0,0,0, 114,246,0,0,0,32,32,114,7,0,0,0,114,240,0,0, - 0,173,4,0,0,114,25,0,0,0,114,9,0,0,0,122, + 0,174,4,0,0,114,25,0,0,0,114,9,0,0,0,122, 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, 0,0,0,0,0,0,0,0,0,0,1,0,0,0,3,0, @@ -1839,13 +1839,13 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 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, 78,114,12,0,0,0,114,246,0,0,0,32,32,114,7,0, - 0,0,114,0,1,0,0,177,4,0,0,114,25,0,0,0, + 0,0,114,0,1,0,0,178,4,0,0,114,25,0,0,0, 114,9,0,0,0,122,30,69,120,116,101,110,115,105,111,110, 70,105,108,101,76,111,97,100,101,114,46,103,101,116,95,115, 111,117,114,99,101,99,2,0,0,0,0,0,0,0,0,0, 0,0,1,0,0,0,3,0,0,0,114,24,1,0,0,114, 25,1,0,0,114,74,0,0,0,114,246,0,0,0,32,32, - 114,7,0,0,0,114,202,0,0,0,181,4,0,0,114,26, + 114,7,0,0,0,114,202,0,0,0,182,4,0,0,114,26, 1,0,0,114,9,0,0,0,122,32,69,120,116,101,110,115, 105,111,110,70,105,108,101,76,111,97,100,101,114,46,103,101, 116,95,102,105,108,101,110,97,109,101,78,41,14,114,149,0, @@ -1854,7 +1854,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 114,238,0,0,0,114,244,0,0,0,114,205,0,0,0,114, 240,0,0,0,114,0,1,0,0,114,159,0,0,0,114,202, 0,0,0,114,12,0,0,0,114,7,0,0,0,114,28,1, - 0,0,134,4,0,0,115,24,0,0,0,8,0,4,2,8, + 0,0,135,4,0,0,115,24,0,0,0,8,0,4,2,8, 6,8,4,8,4,8,3,8,8,8,6,8,6,8,4,2, 4,14,1,114,9,0,0,0,114,28,1,0,0,99,0,0, 0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0, @@ -1896,7 +1896,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 95,102,105,110,100,101,114,169,4,114,143,0,0,0,114,141, 0,0,0,114,65,0,0,0,90,11,112,97,116,104,95,102, 105,110,100,101,114,32,32,32,32,114,7,0,0,0,114,235, - 0,0,0,194,4,0,0,115,8,0,0,0,6,1,6,1, + 0,0,0,195,4,0,0,115,8,0,0,0,6,1,6,1, 14,1,10,1,114,9,0,0,0,122,23,95,78,97,109,101, 115,112,97,99,101,80,97,116,104,46,95,95,105,110,105,116, 95,95,99,1,0,0,0,0,0,0,0,0,0,0,0,3, @@ -1913,7 +1913,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 0,41,4,114,143,0,0,0,114,38,1,0,0,218,3,100, 111,116,90,2,109,101,32,32,32,32,114,7,0,0,0,218, 23,95,102,105,110,100,95,112,97,114,101,110,116,95,112,97, - 116,104,95,110,97,109,101,115,200,4,0,0,115,8,0,0, + 116,104,95,110,97,109,101,115,201,4,0,0,115,8,0,0, 0,18,2,8,1,4,2,8,3,114,9,0,0,0,122,38, 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, @@ -1926,7 +1926,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 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, 114,95,110,97,109,101,32,32,32,114,7,0,0,0,114,47, - 1,0,0,210,4,0,0,115,4,0,0,0,12,1,16,1, + 1,0,0,211,4,0,0,115,4,0,0,0,12,1,16,1, 114,9,0,0,0,122,31,95,78,97,109,101,115,112,97,99, 101,80,97,116,104,46,95,103,101,116,95,112,97,114,101,110, 116,95,112,97,116,104,99,1,0,0,0,0,0,0,0,0, @@ -1941,7 +1941,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 114,163,0,0,0,114,201,0,0,0,114,46,1,0,0,41, 3,114,143,0,0,0,90,11,112,97,114,101,110,116,95,112, 97,116,104,114,209,0,0,0,32,32,32,114,7,0,0,0, - 218,12,95,114,101,99,97,108,99,117,108,97,116,101,214,4, + 218,12,95,114,101,99,97,108,99,117,108,97,116,101,215,4, 0,0,115,16,0,0,0,12,2,10,1,14,1,18,3,6, 1,8,1,6,1,6,1,114,9,0,0,0,122,27,95,78, 97,109,101,115,112,97,99,101,80,97,116,104,46,95,114,101, @@ -1950,7 +1950,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 0,0,0,116,0,124,0,160,1,161,0,131,1,83,0,114, 69,0,0,0,41,2,218,4,105,116,101,114,114,54,1,0, 0,114,20,1,0,0,32,114,7,0,0,0,218,8,95,95, - 105,116,101,114,95,95,227,4,0,0,243,2,0,0,0,12, + 105,116,101,114,95,95,228,4,0,0,243,2,0,0,0,12, 1,114,9,0,0,0,122,23,95,78,97,109,101,115,112,97, 99,101,80,97,116,104,46,95,95,105,116,101,114,95,95,99, 2,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0, @@ -1958,7 +1958,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 1,25,0,83,0,114,69,0,0,0,169,1,114,54,1,0, 0,41,2,114,143,0,0,0,218,5,105,110,100,101,120,32, 32,114,7,0,0,0,218,11,95,95,103,101,116,105,116,101, - 109,95,95,230,4,0,0,114,58,1,0,0,114,9,0,0, + 109,95,95,231,4,0,0,114,58,1,0,0,114,9,0,0, 0,122,26,95,78,97,109,101,115,112,97,99,101,80,97,116, 104,46,95,95,103,101,116,105,116,101,109,95,95,99,3,0, 0,0,0,0,0,0,0,0,0,0,3,0,0,0,3,0, @@ -1966,14 +1966,14 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 0,100,0,83,0,114,69,0,0,0,41,1,114,46,1,0, 0,41,3,114,143,0,0,0,114,60,1,0,0,114,65,0, 0,0,32,32,32,114,7,0,0,0,218,11,95,95,115,101, - 116,105,116,101,109,95,95,233,4,0,0,115,2,0,0,0, + 116,105,116,101,109,95,95,234,4,0,0,115,2,0,0,0, 14,1,114,9,0,0,0,122,26,95,78,97,109,101,115,112, 97,99,101,80,97,116,104,46,95,95,115,101,116,105,116,101, 109,95,95,99,1,0,0,0,0,0,0,0,0,0,0,0, 3,0,0,0,3,0,0,0,114,55,1,0,0,114,69,0, 0,0,41,2,114,4,0,0,0,114,54,1,0,0,114,20, 1,0,0,32,114,7,0,0,0,218,7,95,95,108,101,110, - 95,95,236,4,0,0,114,58,1,0,0,114,9,0,0,0, + 95,95,237,4,0,0,114,58,1,0,0,114,9,0,0,0, 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, 0,0,0,0,0,3,0,0,0,3,0,0,0,243,12,0, @@ -1981,7 +1981,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 78,122,20,95,78,97,109,101,115,112,97,99,101,80,97,116, 104,40,123,33,114,125,41,41,2,114,89,0,0,0,114,46, 1,0,0,114,20,1,0,0,32,114,7,0,0,0,218,8, - 95,95,114,101,112,114,95,95,239,4,0,0,114,58,1,0, + 95,95,114,101,112,114,95,95,240,4,0,0,114,58,1,0, 0,114,9,0,0,0,122,23,95,78,97,109,101,115,112,97, 99,101,80,97,116,104,46,95,95,114,101,112,114,95,95,99, 2,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0, @@ -1989,14 +1989,14 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 0,118,0,83,0,114,69,0,0,0,114,59,1,0,0,169, 2,114,143,0,0,0,218,4,105,116,101,109,32,32,114,7, 0,0,0,218,12,95,95,99,111,110,116,97,105,110,115,95, - 95,242,4,0,0,114,58,1,0,0,114,9,0,0,0,122, + 95,243,4,0,0,114,58,1,0,0,114,9,0,0,0,122, 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, 0,0,0,0,0,0,0,0,0,3,0,0,0,3,0,0, 0,115,16,0,0,0,124,0,106,0,160,1,124,1,161,1, 1,0,100,0,83,0,114,69,0,0,0,41,2,114,46,1, 0,0,114,61,0,0,0,114,66,1,0,0,32,32,114,7, - 0,0,0,114,61,0,0,0,245,4,0,0,243,2,0,0, + 0,0,0,114,61,0,0,0,246,4,0,0,243,2,0,0, 0,16,1,114,9,0,0,0,122,21,95,78,97,109,101,115, 112,97,99,101,80,97,116,104,46,97,112,112,101,110,100,78, 41,15,114,149,0,0,0,114,148,0,0,0,114,150,0,0, @@ -2004,7 +2004,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 114,47,1,0,0,114,54,1,0,0,114,57,1,0,0,114, 61,1,0,0,114,62,1,0,0,114,63,1,0,0,114,65, 1,0,0,114,68,1,0,0,114,61,0,0,0,114,12,0, - 0,0,114,7,0,0,0,114,44,1,0,0,187,4,0,0, + 0,0,114,7,0,0,0,114,44,1,0,0,188,4,0,0, 115,26,0,0,0,8,0,4,1,8,6,8,6,8,10,8, 4,8,13,8,3,8,3,8,3,8,3,8,3,12,3,114, 9,0,0,0,114,44,1,0,0,99,0,0,0,0,0,0, @@ -2020,7 +2020,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 3,0,0,0,115,18,0,0,0,116,0,124,1,124,2,124, 3,131,3,124,0,95,1,100,0,83,0,114,69,0,0,0, 41,2,114,44,1,0,0,114,46,1,0,0,114,50,1,0, - 0,32,32,32,32,114,7,0,0,0,114,235,0,0,0,251, + 0,32,32,32,32,114,7,0,0,0,114,235,0,0,0,252, 4,0,0,115,2,0,0,0,18,1,114,9,0,0,0,122, 25,95,78,97,109,101,115,112,97,99,101,76,111,97,100,101, 114,46,95,95,105,110,105,116,95,95,99,1,0,0,0,0, @@ -2044,20 +2044,20 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 41,62,78,41,5,114,99,0,0,0,114,100,0,0,0,114, 101,0,0,0,114,89,0,0,0,114,149,0,0,0,41,1, 114,243,0,0,0,32,114,7,0,0,0,218,11,109,111,100, - 117,108,101,95,114,101,112,114,254,4,0,0,115,8,0,0, + 117,108,101,95,114,101,112,114,255,4,0,0,115,8,0,0, 0,6,7,2,1,4,255,12,2,114,9,0,0,0,122,28, 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, 0,0,0,0,0,0,0,0,0,1,0,0,0,3,0,0, 0,114,24,0,0,0,41,2,78,84,114,12,0,0,0,114, 246,0,0,0,32,32,114,7,0,0,0,114,205,0,0,0, - 9,5,0,0,243,2,0,0,0,4,1,114,9,0,0,0, + 10,5,0,0,243,2,0,0,0,4,1,114,9,0,0,0, 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, 0,0,0,0,0,0,0,0,0,0,1,0,0,0,3,0, 0,0,114,24,0,0,0,41,2,78,114,10,0,0,0,114, 12,0,0,0,114,246,0,0,0,32,32,114,7,0,0,0, - 114,0,1,0,0,12,5,0,0,114,72,1,0,0,114,9, + 114,0,1,0,0,13,5,0,0,114,72,1,0,0,114,9, 0,0,0,122,27,95,78,97,109,101,115,112,97,99,101,76, 111,97,100,101,114,46,103,101,116,95,115,111,117,114,99,101, 99,2,0,0,0,0,0,0,0,0,0,0,0,6,0,0, @@ -2066,19 +2066,19 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 0,0,122,8,60,115,116,114,105,110,103,62,114,242,0,0, 0,84,41,1,114,2,1,0,0,41,1,114,3,1,0,0, 114,246,0,0,0,32,32,114,7,0,0,0,114,240,0,0, - 0,15,5,0,0,114,69,1,0,0,114,9,0,0,0,122, + 0,16,5,0,0,114,69,1,0,0,114,9,0,0,0,122, 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, 0,0,0,0,0,0,0,1,0,0,0,3,0,0,0,114, 24,0,0,0,114,236,0,0,0,114,12,0,0,0,114,237, - 0,0,0,32,32,114,7,0,0,0,114,238,0,0,0,18, + 0,0,0,32,32,114,7,0,0,0,114,238,0,0,0,19, 5,0,0,114,239,0,0,0,114,9,0,0,0,122,30,95, 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, 0,0,0,0,0,0,0,0,0,0,1,0,0,0,3,0, 0,0,115,4,0,0,0,100,0,83,0,114,69,0,0,0, 114,12,0,0,0,114,40,1,0,0,32,32,114,7,0,0, - 0,114,244,0,0,0,21,5,0,0,114,72,1,0,0,114, + 0,114,244,0,0,0,22,5,0,0,114,72,1,0,0,114, 9,0,0,0,122,28,95,78,97,109,101,115,112,97,99,101, 76,111,97,100,101,114,46,101,120,101,99,95,109,111,100,117, 108,101,99,2,0,0,0,0,0,0,0,0,0,0,0,4, @@ -2095,7 +2095,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 111,97,100,101,100,32,119,105,116,104,32,112,97,116,104,32, 123,33,114,125,78,41,4,114,158,0,0,0,114,172,0,0, 0,114,46,1,0,0,114,245,0,0,0,114,246,0,0,0, - 32,32,114,7,0,0,0,114,247,0,0,0,24,5,0,0, + 32,32,114,7,0,0,0,114,247,0,0,0,25,5,0,0, 115,8,0,0,0,6,7,4,1,4,255,12,3,114,9,0, 0,0,122,28,95,78,97,109,101,115,112,97,99,101,76,111, 97,100,101,114,46,108,111,97,100,95,109,111,100,117,108,101, @@ -2106,7 +2106,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 115,112,97,99,101,82,101,97,100,101,114,41,3,114,30,1, 0,0,114,73,1,0,0,114,46,1,0,0,41,3,114,143, 0,0,0,114,243,0,0,0,114,73,1,0,0,32,32,32, - 114,7,0,0,0,114,31,1,0,0,36,5,0,0,115,4, + 114,7,0,0,0,114,31,1,0,0,37,5,0,0,115,4, 0,0,0,12,1,10,1,114,9,0,0,0,122,36,95,78, 97,109,101,115,112,97,99,101,76,111,97,100,101,114,46,103, 101,116,95,114,101,115,111,117,114,99,101,95,114,101,97,100, @@ -2115,7 +2115,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 1,0,0,114,205,0,0,0,114,0,1,0,0,114,240,0, 0,0,114,238,0,0,0,114,244,0,0,0,114,247,0,0, 0,114,31,1,0,0,114,12,0,0,0,114,7,0,0,0, - 114,70,1,0,0,250,4,0,0,115,22,0,0,0,8,0, + 114,70,1,0,0,251,4,0,0,115,22,0,0,0,8,0, 8,1,2,3,10,1,8,10,8,3,8,3,8,3,8,3, 8,3,12,12,114,9,0,0,0,114,70,1,0,0,99,0, 0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0, @@ -2151,7 +2151,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 109,112,111,114,116,101,114,95,99,97,99,104,101,218,5,105, 116,101,109,115,114,152,0,0,0,114,75,1,0,0,41,2, 114,141,0,0,0,218,6,102,105,110,100,101,114,32,32,114, - 7,0,0,0,114,75,1,0,0,47,5,0,0,115,14,0, + 7,0,0,0,114,75,1,0,0,48,5,0,0,115,14,0, 0,0,22,4,8,1,10,1,10,1,8,1,2,128,4,252, 114,9,0,0,0,122,28,80,97,116,104,70,105,110,100,101, 114,46,105,110,118,97,108,105,100,97,116,101,95,99,97,99, @@ -2170,7 +2170,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 112,97,116,104,95,104,111,111,107,115,114,99,0,0,0,114, 100,0,0,0,114,161,0,0,0,114,142,0,0,0,41,2, 114,65,0,0,0,90,4,104,111,111,107,32,32,114,7,0, - 0,0,218,11,95,112,97,116,104,95,104,111,111,107,115,57, + 0,0,218,11,95,112,97,116,104,95,104,111,111,107,115,58, 5,0,0,115,22,0,0,0,16,3,12,1,10,1,2,1, 12,1,2,128,12,1,4,1,2,128,4,2,2,253,115,12, 0,0,0,148,3,26,2,154,7,35,9,166,1,35,9,122, @@ -2203,7 +2203,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 75,101,121,69,114,114,111,114,114,81,1,0,0,41,3,114, 220,0,0,0,114,65,0,0,0,114,79,1,0,0,32,32, 32,114,7,0,0,0,218,20,95,112,97,116,104,95,105,109, - 112,111,114,116,101,114,95,99,97,99,104,101,70,5,0,0, + 112,111,114,116,101,114,95,99,97,99,104,101,71,5,0,0, 115,36,0,0,0,8,8,2,1,10,1,2,128,12,1,6, 3,2,128,2,1,10,1,4,4,2,128,12,253,10,1,12, 1,4,1,2,128,2,253,2,250,115,24,0,0,0,133,4, @@ -2236,7 +2236,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 79,1,0,0,114,165,0,0,0,114,163,0,0,0,114,164, 0,0,0,114,209,0,0,0,32,32,32,32,32,32,32,114, 7,0,0,0,218,16,95,108,101,103,97,99,121,95,103,101, - 116,95,115,112,101,99,92,5,0,0,115,26,0,0,0,10, + 116,95,115,112,101,99,93,5,0,0,115,26,0,0,0,10, 4,16,1,12,2,16,1,16,2,12,2,10,1,4,1,8, 1,12,1,12,1,6,1,4,1,114,9,0,0,0,122,27, 80,97,116,104,70,105,110,100,101,114,46,95,108,101,103,97, @@ -2268,7 +2268,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 95,112,97,116,104,90,5,101,110,116,114,121,114,79,1,0, 0,114,209,0,0,0,114,164,0,0,0,32,32,32,32,32, 32,32,32,32,114,7,0,0,0,218,9,95,103,101,116,95, - 115,112,101,99,113,5,0,0,115,42,0,0,0,4,5,8, + 115,112,101,99,114,5,0,0,115,42,0,0,0,4,5,8, 1,14,1,2,1,10,1,8,1,10,1,14,1,12,2,8, 1,2,1,10,1,8,1,6,1,8,1,8,1,10,5,2, 128,12,2,6,1,4,1,114,9,0,0,0,122,20,80,97, @@ -2295,7 +2295,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 0,41,6,114,220,0,0,0,114,162,0,0,0,114,65,0, 0,0,114,224,0,0,0,114,209,0,0,0,114,87,1,0, 0,32,32,32,32,32,32,114,7,0,0,0,114,225,0,0, - 0,145,5,0,0,115,26,0,0,0,8,6,6,1,14,1, + 0,146,5,0,0,115,26,0,0,0,8,6,6,1,14,1, 8,1,4,1,10,1,6,1,4,1,6,3,16,1,4,1, 4,2,4,2,114,9,0,0,0,122,20,80,97,116,104,70, 105,110,100,101,114,46,102,105,110,100,95,115,112,101,99,99, @@ -2322,7 +2322,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 32,117,115,101,32,102,105,110,100,95,115,112,101,99,40,41, 32,105,110,115,116,101,97,100,78,114,226,0,0,0,114,227, 0,0,0,32,32,32,32,114,7,0,0,0,114,228,0,0, - 0,169,5,0,0,115,14,0,0,0,6,8,2,2,4,254, + 0,170,5,0,0,115,14,0,0,0,6,8,2,2,4,254, 12,3,8,1,4,1,6,1,114,9,0,0,0,122,22,80, 97,116,104,70,105,110,100,101,114,46,102,105,110,100,95,109, 111,100,117,108,101,99,0,0,0,0,0,0,0,0,0,0, @@ -2353,7 +2353,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 100,97,116,97,114,89,1,0,0,218,18,102,105,110,100,95, 100,105,115,116,114,105,98,117,116,105,111,110,115,41,3,114, 144,0,0,0,114,145,0,0,0,114,89,1,0,0,32,32, - 32,114,7,0,0,0,114,90,1,0,0,185,5,0,0,115, + 32,114,7,0,0,0,114,90,1,0,0,186,5,0,0,115, 4,0,0,0,12,10,16,1,114,9,0,0,0,122,29,80, 97,116,104,70,105,110,100,101,114,46,102,105,110,100,95,100, 105,115,116,114,105,98,117,116,105,111,110,115,114,69,0,0, @@ -2362,7 +2362,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 0,114,75,1,0,0,114,81,1,0,0,114,233,0,0,0, 114,84,1,0,0,114,85,1,0,0,114,88,1,0,0,114, 225,0,0,0,114,228,0,0,0,114,90,1,0,0,114,12, - 0,0,0,114,7,0,0,0,114,74,1,0,0,43,5,0, + 0,0,0,114,7,0,0,0,114,74,1,0,0,44,5,0, 0,115,36,0,0,0,8,0,4,2,2,2,10,1,2,9, 10,1,2,12,10,1,2,21,10,1,2,20,12,1,2,31, 12,1,2,23,12,1,2,15,14,1,114,9,0,0,0,114, @@ -2409,7 +2409,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 136,0,102,2,86,0,1,0,113,2,100,0,83,0,114,69, 0,0,0,114,12,0,0,0,41,3,114,5,0,0,0,114, 41,1,0,0,114,163,0,0,0,32,32,128,114,7,0,0, - 0,114,8,0,0,0,214,5,0,0,115,4,0,0,0,6, + 0,114,8,0,0,0,215,5,0,0,115,4,0,0,0,6, 128,18,0,114,9,0,0,0,122,38,70,105,108,101,70,105, 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, @@ -2423,7 +2423,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 114,65,0,0,0,218,14,108,111,97,100,101,114,95,100,101, 116,97,105,108,115,90,7,108,111,97,100,101,114,115,114,211, 0,0,0,114,163,0,0,0,32,32,32,32,32,64,114,7, - 0,0,0,114,235,0,0,0,208,5,0,0,115,20,0,0, + 0,0,0,114,235,0,0,0,209,5,0,0,115,20,0,0, 0,4,4,12,1,26,1,6,1,10,2,10,1,18,1,6, 1,8,1,12,1,114,9,0,0,0,122,19,70,105,108,101, 70,105,110,100,101,114,46,95,95,105,110,105,116,95,95,99, @@ -2433,7 +2433,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 101,32,116,104,101,32,100,105,114,101,99,116,111,114,121,32, 109,116,105,109,101,46,114,130,0,0,0,78,41,1,114,93, 1,0,0,114,20,1,0,0,32,114,7,0,0,0,114,75, - 1,0,0,224,5,0,0,114,81,0,0,0,114,9,0,0, + 1,0,0,225,5,0,0,114,81,0,0,0,114,9,0,0, 0,122,28,70,105,108,101,70,105,110,100,101,114,46,105,110, 118,97,108,105,100,97,116,101,95,99,97,99,104,101,115,99, 2,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0, @@ -2463,7 +2463,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 41,6,114,99,0,0,0,114,100,0,0,0,114,101,0,0, 0,114,225,0,0,0,114,163,0,0,0,114,201,0,0,0, 41,3,114,143,0,0,0,114,162,0,0,0,114,209,0,0, - 0,32,32,32,114,7,0,0,0,114,160,0,0,0,230,5, + 0,32,32,32,114,7,0,0,0,114,160,0,0,0,231,5, 0,0,115,14,0,0,0,6,7,2,2,4,254,10,3,8, 1,8,1,16,1,114,9,0,0,0,122,22,70,105,108,101, 70,105,110,100,101,114,46,102,105,110,100,95,108,111,97,100, @@ -2474,7 +2474,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 114,212,0,0,0,41,7,114,143,0,0,0,114,210,0,0, 0,114,162,0,0,0,114,65,0,0,0,90,4,115,109,115, 108,114,224,0,0,0,114,163,0,0,0,32,32,32,32,32, - 32,32,114,7,0,0,0,114,88,1,0,0,245,5,0,0, + 32,32,114,7,0,0,0,114,88,1,0,0,246,5,0,0, 115,8,0,0,0,10,1,8,1,2,1,6,255,114,9,0, 0,0,122,20,70,105,108,101,70,105,110,100,101,114,46,95, 103,101,116,95,115,112,101,99,78,99,3,0,0,0,0,0, @@ -2531,7 +2531,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 114,210,0,0,0,90,13,105,110,105,116,95,102,105,108,101, 110,97,109,101,90,9,102,117,108,108,95,112,97,116,104,114, 209,0,0,0,32,32,32,32,32,32,32,32,32,32,32,32, - 32,32,114,7,0,0,0,114,225,0,0,0,250,5,0,0, + 32,32,114,7,0,0,0,114,225,0,0,0,251,5,0,0, 115,94,0,0,0,4,5,14,1,2,1,22,1,2,128,12, 1,8,1,2,128,10,1,8,1,6,1,6,2,6,1,10, 1,6,2,4,1,8,2,12,1,14,1,8,1,10,1,8, @@ -2566,7 +2566,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 125,1,124,1,160,0,161,0,146,2,113,2,83,0,114,12, 0,0,0,41,1,114,131,0,0,0,41,2,114,5,0,0, 0,90,2,102,110,32,32,114,7,0,0,0,114,14,0,0, - 0,74,6,0,0,115,2,0,0,0,20,0,114,9,0,0, + 0,75,6,0,0,115,2,0,0,0,20,0,114,9,0,0, 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, @@ -2583,7 +2583,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 116,101,110,116,115,114,67,1,0,0,114,141,0,0,0,114, 51,1,0,0,114,41,1,0,0,90,8,110,101,119,95,110, 97,109,101,32,32,32,32,32,32,32,32,32,114,7,0,0, - 0,114,98,1,0,0,45,6,0,0,115,42,0,0,0,6, + 0,114,98,1,0,0,46,6,0,0,115,42,0,0,0,6, 2,2,1,20,1,2,128,18,1,8,3,2,128,12,3,12, 1,6,7,8,1,16,1,4,1,18,1,4,2,12,1,6, 1,12,1,20,1,4,255,2,233,115,13,0,0,0,132,9, @@ -2622,7 +2622,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 2,114,83,0,0,0,114,142,0,0,0,41,3,114,65,0, 0,0,114,220,0,0,0,114,97,1,0,0,32,128,128,114, 7,0,0,0,218,24,112,97,116,104,95,104,111,111,107,95, - 102,111,114,95,70,105,108,101,70,105,110,100,101,114,86,6, + 102,111,114,95,70,105,108,101,70,105,110,100,101,114,87,6, 0,0,115,6,0,0,0,8,2,12,1,16,1,114,9,0, 0,0,122,54,70,105,108,101,70,105,110,100,101,114,46,112, 97,116,104,95,104,111,111,107,46,60,108,111,99,97,108,115, @@ -2631,14 +2631,14 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 41,5,114,220,0,0,0,114,97,1,0,0,114,102,1,0, 0,114,220,0,0,0,114,97,1,0,0,96,96,32,64,64, 114,7,0,0,0,218,9,112,97,116,104,95,104,111,111,107, - 76,6,0,0,115,4,0,0,0,14,10,4,6,114,9,0, + 77,6,0,0,115,4,0,0,0,14,10,4,6,114,9,0, 0,0,122,20,70,105,108,101,70,105,110,100,101,114,46,112, 97,116,104,95,104,111,111,107,99,1,0,0,0,0,0,0, 0,0,0,0,0,3,0,0,0,3,0,0,0,114,64,1, 0,0,41,2,78,122,16,70,105,108,101,70,105,110,100,101, 114,40,123,33,114,125,41,41,2,114,89,0,0,0,114,65, 0,0,0,114,20,1,0,0,32,114,7,0,0,0,114,65, - 1,0,0,94,6,0,0,114,58,1,0,0,114,9,0,0, + 1,0,0,95,6,0,0,114,58,1,0,0,114,9,0,0, 0,122,19,70,105,108,101,70,105,110,100,101,114,46,95,95, 114,101,112,114,95,95,114,69,0,0,0,41,15,114,149,0, 0,0,114,148,0,0,0,114,150,0,0,0,114,151,0,0, @@ -2646,7 +2646,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 114,228,0,0,0,114,160,0,0,0,114,88,1,0,0,114, 225,0,0,0,114,98,1,0,0,114,233,0,0,0,114,103, 1,0,0,114,65,1,0,0,114,12,0,0,0,114,7,0, - 0,0,114,91,1,0,0,199,5,0,0,115,24,0,0,0, + 0,0,114,91,1,0,0,200,5,0,0,115,24,0,0,0, 8,0,4,2,8,7,8,16,4,4,8,2,8,15,10,5, 8,51,2,31,10,1,12,17,114,9,0,0,0,114,91,1, 0,0,99,4,0,0,0,0,0,0,0,0,0,0,0,8, @@ -2669,7 +2669,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 114,141,0,0,0,90,8,112,97,116,104,110,97,109,101,90, 9,99,112,97,116,104,110,97,109,101,114,163,0,0,0,114, 209,0,0,0,32,32,32,32,32,32,114,7,0,0,0,218, - 14,95,102,105,120,95,117,112,95,109,111,100,117,108,101,100, + 14,95,102,105,120,95,117,112,95,109,111,100,117,108,101,101, 6,0,0,115,40,0,0,0,10,2,10,1,4,1,4,1, 8,1,8,1,12,1,10,2,4,1,14,1,2,1,8,1, 8,1,8,1,12,1,2,128,12,1,6,2,2,128,2,254, @@ -2690,7 +2690,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 0,0,114,127,0,0,0,114,39,1,0,0,114,113,0,0, 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, - 101,32,32,32,114,7,0,0,0,114,207,0,0,0,123,6, + 101,32,32,32,114,7,0,0,0,114,207,0,0,0,124,6, 0,0,115,8,0,0,0,12,5,8,1,8,1,10,1,114, 9,0,0,0,114,207,0,0,0,99,1,0,0,0,0,0, 0,0,0,0,0,0,1,0,0,0,3,0,0,0,115,8, @@ -2698,7 +2698,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 41,1,114,158,0,0,0,41,1,218,17,95,98,111,111,116, 115,116,114,97,112,95,109,111,100,117,108,101,32,114,7,0, 0,0,218,21,95,115,101,116,95,98,111,111,116,115,116,114, - 97,112,95,109,111,100,117,108,101,134,6,0,0,115,2,0, + 97,112,95,109,111,100,117,108,101,135,6,0,0,115,2,0, 0,0,8,2,114,9,0,0,0,114,111,1,0,0,99,1, 0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,3, 0,0,0,115,50,0,0,0,116,0,124,0,131,1,1,0, @@ -2713,7 +2713,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 101,116,97,95,112,97,116,104,114,61,0,0,0,114,74,1, 0,0,41,2,114,110,1,0,0,90,17,115,117,112,112,111, 114,116,101,100,95,108,111,97,100,101,114,115,32,32,114,7, - 0,0,0,218,8,95,105,110,115,116,97,108,108,139,6,0, + 0,0,0,218,8,95,105,110,115,116,97,108,108,140,6,0, 0,115,8,0,0,0,8,2,6,1,20,1,16,1,114,9, 0,0,0,114,113,1,0,0,41,1,114,87,0,0,0,114, 69,0,0,0,41,3,78,78,78,41,2,114,0,0,0,0, @@ -2758,7 +2758,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 1,4,4,4,1,2,1,2,1,4,255,8,4,6,16,8, 3,8,5,8,5,4,6,10,1,8,30,8,6,8,8,8, 10,8,9,8,5,4,7,10,1,8,8,10,5,10,22,0, - 127,16,33,12,1,4,2,4,1,6,2,4,1,10,1,8, + 127,16,34,12,1,4,2,4,1,6,2,4,1,10,1,8, 2,6,2,8,2,16,2,8,71,8,40,8,19,8,12,8, 12,8,31,8,20,8,33,8,28,10,24,10,13,10,10,8, 11,6,14,4,3,2,1,12,255,14,73,14,67,16,30,0, From 0ff263e1d013fd94f4f5883e0b01ab613d1bd33b Mon Sep 17 00:00:00 2001 From: Eric Snow Date: Fri, 21 May 2021 20:49:49 -0600 Subject: [PATCH 05/31] Regen a couple more files. --- Lib/ctypes/test/test_values.py | 6 +++--- Programs/test_frozenmain.h | 13 ++++++------- Python/frozen_hello.h | 9 ++++----- 3 files changed, 13 insertions(+), 15 deletions(-) diff --git a/Lib/ctypes/test/test_values.py b/Lib/ctypes/test/test_values.py index 92c3c284f2359c..5aa0d75fcbf0cb 100644 --- a/Lib/ctypes/test/test_values.py +++ b/Lib/ctypes/test/test_values.py @@ -80,9 +80,9 @@ class struct_frozen(Structure): continue items.append((entry.name.decode("ascii"), entry.size)) - expected = [("__hello__", 138), - ("__phello__", -138), - ("__phello__.spam", 138), + expected = [("__hello__", 128), + ("__phello__", -128), + ("__phello__.spam", 128), ] self.assertEqual(items, expected, "PyImport_FrozenModules example " "in Doc/library/ctypes.rst may be out of date") diff --git a/Programs/test_frozenmain.h b/Programs/test_frozenmain.h index f5140b8a806b49..fad548bd92e29d 100644 --- a/Programs/test_frozenmain.h +++ b/Programs/test_frozenmain.h @@ -1,7 +1,7 @@ // Auto-generated by Programs/freeze_test_frozenmain.py unsigned char M_test_frozenmain[] = { 227,0,0,0,0,0,0,0,0,0,0,0,0,7,0,0, - 0,64,0,0,0,115,86,0,0,0,100,0,100,1,108,0, + 0,0,0,0,0,115,86,0,0,0,100,0,100,1,108,0, 90,0,100,0,100,1,108,1,90,1,101,2,100,2,131,1, 1,0,101,2,100,3,101,0,106,3,131,2,1,0,101,1, 160,4,161,0,100,4,25,0,90,5,100,5,68,0,93,14, @@ -19,10 +19,9 @@ unsigned char M_test_frozenmain[] = { 121,115,90,17,95,116,101,115,116,105,110,116,101,114,110,97, 108,99,97,112,105,218,5,112,114,105,110,116,218,4,97,114, 103,118,90,11,103,101,116,95,99,111,110,102,105,103,115,114, - 2,0,0,0,218,3,107,101,121,169,0,114,8,0,0,0, - 114,8,0,0,0,250,18,116,101,115,116,95,102,114,111,122, - 101,110,109,97,105,110,46,112,121,218,8,60,109,111,100,117, - 108,101,62,1,0,0,0,115,16,0,0,0,8,3,8,1, - 8,2,12,1,12,1,8,1,26,7,4,249,243,0,0,0, - 0, + 2,0,0,0,218,3,107,101,121,169,0,250,18,116,101,115, + 116,95,102,114,111,122,101,110,109,97,105,110,46,112,121,218, + 8,60,109,111,100,117,108,101,62,1,0,0,0,115,16,0, + 0,0,8,3,8,1,8,2,12,1,12,1,8,1,26,7, + 4,249,243,0,0,0,0, }; diff --git a/Python/frozen_hello.h b/Python/frozen_hello.h index 967dd053dd0278..4d2680efb1504c 100644 --- a/Python/frozen_hello.h +++ b/Python/frozen_hello.h @@ -1,12 +1,11 @@ /* Auto-generated by Programs/_freeze_importlib.c */ const unsigned char _Py_M__hello[] = { 99,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0, - 0,64,0,0,0,115,16,0,0,0,100,0,90,0,101,1, + 0,0,0,0,0,115,16,0,0,0,100,0,90,0,101,1, 100,1,131,1,1,0,100,2,83,0,41,3,84,122,12,72, 101,108,108,111,32,119,111,114,108,100,33,78,41,2,90,11, 105,110,105,116,105,97,108,105,122,101,100,218,5,112,114,105, - 110,116,169,0,114,1,0,0,0,114,1,0,0,0,122,14, - 60,102,114,111,122,101,110,32,104,101,108,108,111,62,218,8, - 60,109,111,100,117,108,101,62,1,0,0,0,115,4,0,0, - 0,4,0,12,1,243,0,0,0,0, + 110,116,169,0,122,14,60,102,114,111,122,101,110,32,104,101, + 108,108,111,62,218,8,60,109,111,100,117,108,101,62,1,0, + 0,0,115,4,0,0,0,4,0,12,1,243,0,0,0,0, }; From 90f4e8a5620774face5ddc8a7127a9bc6704c79f Mon Sep 17 00:00:00 2001 From: Eric Snow Date: Fri, 21 May 2021 20:54:05 -0600 Subject: [PATCH 06/31] Add a NEWS entry. --- .../Core and Builtins/2021-05-21-20-53-49.bpo-43693.-NN3J_.rst | 3 +++ 1 file changed, 3 insertions(+) create mode 100644 Misc/NEWS.d/next/Core and Builtins/2021-05-21-20-53-49.bpo-43693.-NN3J_.rst diff --git a/Misc/NEWS.d/next/Core and Builtins/2021-05-21-20-53-49.bpo-43693.-NN3J_.rst b/Misc/NEWS.d/next/Core and Builtins/2021-05-21-20-53-49.bpo-43693.-NN3J_.rst new file mode 100644 index 00000000000000..83b7ba260e6a22 --- /dev/null +++ b/Misc/NEWS.d/next/Core and Builtins/2021-05-21-20-53-49.bpo-43693.-NN3J_.rst @@ -0,0 +1,3 @@ +``PyCodeObject`` gained ``co_fastlocalnames`` and ``co_fastlocalkinds`` as +the the authoritative source of fast locals info. Marshaled code objects +have changed accordingly. From ee10bb3fc125170b6c4d33098670d3e029cf851b Mon Sep 17 00:00:00 2001 From: Eric Snow Date: Mon, 24 May 2021 11:59:44 -0600 Subject: [PATCH 07/31] Fix the arg-is-cell case. --- Objects/codeobject.c | 20 ++- Python/compile.c | 2 +- Python/importlib.h | 174 +++++++++++------------ Python/importlib_external.h | 262 +++++++++++++++++------------------ Python/importlib_zipimport.h | 72 +++++----- 5 files changed, 268 insertions(+), 262 deletions(-) diff --git a/Objects/codeobject.c b/Objects/codeobject.c index 321674eb011a85..0be52cd49b3f03 100644 --- a/Objects/codeobject.c +++ b/Objects/codeobject.c @@ -222,18 +222,24 @@ get_fastlocals_names(PyCodeObject *co, _PyFastLocalKind kind, Py_ssize_t num) } Py_ssize_t index = 0; for (Py_ssize_t offset = 0; offset < co->co_nlocalsplus; offset++) { - if (co->co_fastlocalkinds[offset] & kind) { - // XXX - assert(index < num); - PyObject *name = PyTuple_GET_ITEM(co->co_fastlocalnames, offset); - Py_INCREF(name); - PyTuple_SET_ITEM(names, index, name); - index += 1; + if ((co->co_fastlocalkinds[offset] & kind) == 0) { + continue; } + // For now there may be duplicates, which we ignore. + if (kind == CO_FAST_CELL && co->co_fastlocalkinds[offset] != kind) { + continue; + } + assert(index < num); + PyObject *name = PyTuple_GET_ITEM(co->co_fastlocalnames, offset); + Py_INCREF(name); + PyTuple_SET_ITEM(names, index, name); + index += 1; } + assert(index == num); return names; } + int _PyCode_Validate(struct _PyCodeConstructor *con) { diff --git a/Python/compile.c b/Python/compile.c index 3abddd108cb20b..864828726d5b4e 100644 --- a/Python/compile.c +++ b/Python/compile.c @@ -7197,7 +7197,7 @@ compute_fastlocals_info(struct compiler *c, assert(offset >= 0); assert(offset < nlocalsplus); // For now we do not distinguish arg kinds. - set_fastlocal_info(offset, k, CO_FAST_LOCALONLY, names, kinds); + set_fastlocal_info(offset, k, CO_FAST_LOCAL, names, kinds); } Py_ssize_t nlocals = PyDict_GET_SIZE(c->u->u_varnames); diff --git a/Python/importlib.h b/Python/importlib.h index 19fcbdc8405f51..98cde300569380 100644 --- a/Python/importlib.h +++ b/Python/importlib.h @@ -59,7 +59,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 106,0,6,0,89,0,83,0,37,0,119,0,169,1,78,41, 3,218,12,95,95,113,117,97,108,110,97,109,101,95,95,218, 14,65,116,116,114,105,98,117,116,101,69,114,114,111,114,218, - 4,116,121,112,101,41,1,218,3,111,98,106,32,250,29,60, + 4,116,121,112,101,41,1,218,3,111,98,106,63,250,29,60, 102,114,111,122,101,110,32,105,109,112,111,114,116,108,105,98, 46,95,98,111,111,116,115,116,114,97,112,62,218,12,95,111, 98,106,101,99,116,95,110,97,109,101,23,0,0,0,115,14, @@ -80,14 +80,14 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 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, - 7,114,101,112,108,97,99,101,32,32,32,114,5,0,0,0, + 7,114,101,112,108,97,99,101,63,63,63,114,5,0,0,0, 218,5,95,119,114,97,112,40,0,0,0,115,10,0,0,0, 8,2,10,1,18,1,2,128,18,1,243,0,0,0,0,114, 16,0,0,0,99,1,0,0,0,0,0,0,0,0,0,0, 0,2,0,0,0,3,0,0,0,115,12,0,0,0,116,0, 116,1,131,1,124,0,131,1,83,0,114,0,0,0,0,41, 2,114,3,0,0,0,218,3,115,121,115,169,1,218,4,110, - 97,109,101,32,114,5,0,0,0,218,11,95,110,101,119,95, + 97,109,101,63,114,5,0,0,0,218,11,95,110,101,119,95, 109,111,100,117,108,101,48,0,0,0,115,2,0,0,0,12, 1,114,17,0,0,0,114,21,0,0,0,99,0,0,0,0, 0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0, @@ -123,7 +123,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 218,4,108,111,99,107,218,6,119,97,107,101,117,112,114,20, 0,0,0,218,5,111,119,110,101,114,218,5,99,111,117,110, 116,218,7,119,97,105,116,101,114,115,169,2,218,4,115,101, - 108,102,114,20,0,0,0,32,32,114,5,0,0,0,218,8, + 108,102,114,20,0,0,0,63,63,114,5,0,0,0,218,8, 95,95,105,110,105,116,95,95,71,0,0,0,115,12,0,0, 0,10,1,10,1,6,1,6,1,6,1,10,1,114,17,0, 0,0,122,20,95,77,111,100,117,108,101,76,111,99,107,46, @@ -139,8 +139,8 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 30,0,0,0,218,3,115,101,116,218,12,95,98,108,111,99, 107,105,110,103,95,111,110,218,3,103,101,116,218,3,97,100, 100,41,5,114,34,0,0,0,90,2,109,101,218,3,116,105, - 100,90,4,115,101,101,110,114,28,0,0,0,32,32,32,32, - 32,114,5,0,0,0,218,12,104,97,115,95,100,101,97,100, + 100,90,4,115,101,101,110,114,28,0,0,0,63,63,63,63, + 63,114,5,0,0,0,218,12,104,97,115,95,100,101,97,100, 108,111,99,107,79,0,0,0,115,28,0,0,0,8,2,6, 1,6,1,2,1,10,1,8,1,4,1,6,1,8,1,4, 1,8,1,4,6,10,1,2,242,114,17,0,0,0,122,24, @@ -179,7 +179,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 0,114,42,0,0,0,114,22,0,0,0,114,29,0,0,0, 218,7,97,99,113,117,105,114,101,114,32,0,0,0,218,7, 114,101,108,101,97,115,101,169,2,114,34,0,0,0,114,41, - 0,0,0,32,32,114,5,0,0,0,114,44,0,0,0,100, + 0,0,0,63,63,114,5,0,0,0,114,44,0,0,0,100, 0,0,0,115,44,0,0,0,8,6,8,1,2,1,2,1, 8,1,20,1,6,1,14,1,2,1,10,252,10,13,8,248, 12,1,12,1,14,1,12,248,22,128,10,10,10,1,2,244, @@ -205,8 +205,8 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 0,0,41,9,114,27,0,0,0,114,36,0,0,0,114,28, 0,0,0,114,30,0,0,0,218,12,82,117,110,116,105,109, 101,69,114,114,111,114,114,31,0,0,0,114,32,0,0,0, - 114,29,0,0,0,114,45,0,0,0,114,46,0,0,0,32, - 32,114,5,0,0,0,114,45,0,0,0,125,0,0,0,115, + 114,29,0,0,0,114,45,0,0,0,114,46,0,0,0,63, + 63,114,5,0,0,0,114,45,0,0,0,125,0,0,0,115, 28,0,0,0,8,1,8,1,10,1,8,1,14,1,14,1, 10,1,6,1,6,1,14,1,10,1,14,247,22,128,4,0, 115,15,0,0,0,135,47,61,3,189,4,65,1,11,193,2, @@ -217,7 +217,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 1,161,2,83,0,41,2,78,122,23,95,77,111,100,117,108, 101,76,111,99,107,40,123,33,114,125,41,32,97,116,32,123, 125,169,3,218,6,102,111,114,109,97,116,114,20,0,0,0, - 218,2,105,100,169,1,114,34,0,0,0,32,114,5,0,0, + 218,2,105,100,169,1,114,34,0,0,0,63,114,5,0,0, 0,218,8,95,95,114,101,112,114,95,95,138,0,0,0,243, 2,0,0,0,18,1,114,17,0,0,0,122,20,95,77,111, 100,117,108,101,76,111,99,107,46,95,95,114,101,112,114,95, @@ -242,7 +242,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 0,0,0,0,2,0,0,0,3,0,0,0,115,16,0,0, 0,124,1,124,0,95,0,100,1,124,0,95,1,100,0,83, 0,114,25,0,0,0,41,2,114,20,0,0,0,114,31,0, - 0,0,114,33,0,0,0,32,32,114,5,0,0,0,114,35, + 0,0,114,33,0,0,0,63,63,114,5,0,0,0,114,35, 0,0,0,146,0,0,0,243,4,0,0,0,6,1,10,1, 114,17,0,0,0,122,25,95,68,117,109,109,121,77,111,100, 117,108,101,76,111,99,107,46,95,95,105,110,105,116,95,95, @@ -250,7 +250,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 0,3,0,0,0,115,18,0,0,0,124,0,4,0,106,0, 100,1,55,0,2,0,95,0,100,2,83,0,41,3,78,114, 43,0,0,0,84,41,1,114,31,0,0,0,114,53,0,0, - 0,32,114,5,0,0,0,114,44,0,0,0,150,0,0,0, + 0,63,114,5,0,0,0,114,44,0,0,0,150,0,0,0, 115,4,0,0,0,14,1,4,1,114,17,0,0,0,122,24, 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, @@ -259,7 +259,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 131,1,130,1,124,0,4,0,106,0,100,3,56,0,2,0, 95,0,100,0,83,0,41,4,78,114,26,0,0,0,114,47, 0,0,0,114,43,0,0,0,41,2,114,31,0,0,0,114, - 48,0,0,0,114,53,0,0,0,32,114,5,0,0,0,114, + 48,0,0,0,114,53,0,0,0,63,114,5,0,0,0,114, 45,0,0,0,154,0,0,0,115,6,0,0,0,10,1,8, 1,18,1,114,17,0,0,0,122,24,95,68,117,109,109,121, 77,111,100,117,108,101,76,111,99,107,46,114,101,108,101,97, @@ -267,7 +267,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 0,0,0,3,0,0,0,114,49,0,0,0,41,2,78,122, 28,95,68,117,109,109,121,77,111,100,117,108,101,76,111,99, 107,40,123,33,114,125,41,32,97,116,32,123,125,114,50,0, - 0,0,114,53,0,0,0,32,114,5,0,0,0,114,54,0, + 0,0,114,53,0,0,0,63,114,5,0,0,0,114,54,0, 0,0,159,0,0,0,114,55,0,0,0,114,17,0,0,0, 122,25,95,68,117,109,109,121,77,111,100,117,108,101,76,111, 99,107,46,95,95,114,101,112,114,95,95,78,41,8,114,8, @@ -285,7 +285,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 0,0,0,0,0,2,0,0,0,3,0,0,0,115,16,0, 0,0,124,1,124,0,95,0,100,0,124,0,95,1,100,0, 83,0,114,0,0,0,0,41,2,218,5,95,110,97,109,101, - 218,5,95,108,111,99,107,114,33,0,0,0,32,32,114,5, + 218,5,95,108,111,99,107,114,33,0,0,0,63,63,114,5, 0,0,0,114,35,0,0,0,165,0,0,0,114,57,0,0, 0,114,17,0,0,0,122,27,95,77,111,100,117,108,101,76, 111,99,107,77,97,110,97,103,101,114,46,95,95,105,110,105, @@ -295,7 +295,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 0,1,0,100,0,83,0,114,0,0,0,0,41,4,218,16, 95,103,101,116,95,109,111,100,117,108,101,95,108,111,99,107, 114,59,0,0,0,114,60,0,0,0,114,44,0,0,0,114, - 53,0,0,0,32,114,5,0,0,0,218,9,95,95,101,110, + 53,0,0,0,63,114,5,0,0,0,218,9,95,95,101,110, 116,101,114,95,95,169,0,0,0,115,4,0,0,0,12,1, 14,1,114,17,0,0,0,122,28,95,77,111,100,117,108,101, 76,111,99,107,77,97,110,97,103,101,114,46,95,95,101,110, @@ -304,7 +304,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 0,106,0,160,1,161,0,1,0,100,0,83,0,114,0,0, 0,0,41,2,114,60,0,0,0,114,45,0,0,0,41,3, 114,34,0,0,0,218,4,97,114,103,115,90,6,107,119,97, - 114,103,115,32,32,32,114,5,0,0,0,218,8,95,95,101, + 114,103,115,63,63,63,114,5,0,0,0,218,8,95,95,101, 120,105,116,95,95,173,0,0,0,115,2,0,0,0,14,1, 114,17,0,0,0,122,27,95,77,111,100,117,108,101,76,111, 99,107,77,97,110,97,103,101,114,46,95,95,101,120,105,116, @@ -341,7 +341,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 218,12,97,99,113,117,105,114,101,95,108,111,99,107,218,13, 95,109,111,100,117,108,101,95,108,111,99,107,115,114,39,0, 0,0,218,12,114,101,108,101,97,115,101,95,108,111,99,107, - 41,2,218,3,114,101,102,114,20,0,0,0,32,32,114,5, + 41,2,218,3,114,101,102,114,20,0,0,0,63,63,114,5, 0,0,0,218,2,99,98,198,0,0,0,115,16,0,0,0, 8,1,2,1,14,4,6,1,12,2,2,128,10,0,2,128, 115,8,0,0,0,133,10,21,0,149,6,27,7,122,28,95, @@ -351,7 +351,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 121,69,114,114,111,114,114,27,0,0,0,114,56,0,0,0, 114,24,0,0,0,218,8,95,119,101,97,107,114,101,102,114, 69,0,0,0,114,68,0,0,0,41,3,114,20,0,0,0, - 114,28,0,0,0,114,70,0,0,0,32,32,32,114,5,0, + 114,28,0,0,0,114,70,0,0,0,63,63,63,114,5,0, 0,0,114,61,0,0,0,179,0,0,0,115,40,0,0,0, 8,6,2,1,2,1,12,1,2,128,12,1,8,1,2,128, 8,2,8,1,10,1,8,2,12,2,16,11,8,2,4,2, @@ -377,7 +377,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 101,114,32,116,104,114,101,97,100,46,10,32,32,32,32,78, 41,4,114,61,0,0,0,114,44,0,0,0,114,22,0,0, 0,114,45,0,0,0,41,2,114,20,0,0,0,114,28,0, - 0,0,32,32,114,5,0,0,0,218,19,95,108,111,99,107, + 0,0,63,63,114,5,0,0,0,218,19,95,108,111,99,107, 95,117,110,108,111,99,107,95,109,111,100,117,108,101,216,0, 0,0,115,18,0,0,0,8,6,2,1,10,1,2,128,12, 1,6,3,2,128,12,2,2,251,115,12,0,0,0,133,4, @@ -405,7 +405,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 99,117,116,105,110,103,10,32,32,32,32,109,111,100,117,108, 101,32,99,111,100,101,41,10,32,32,32,32,78,114,23,0, 0,0,41,3,218,1,102,114,63,0,0,0,90,4,107,119, - 100,115,32,32,32,114,5,0,0,0,218,25,95,99,97,108, + 100,115,63,63,63,114,5,0,0,0,218,25,95,99,97,108, 108,95,119,105,116,104,95,102,114,97,109,101,115,95,114,101, 109,111,118,101,100,233,0,0,0,115,2,0,0,0,14,8, 114,17,0,0,0,114,75,0,0,0,114,43,0,0,0,41, @@ -425,7 +425,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 111,115,101,218,10,115,116,97,114,116,115,119,105,116,104,218, 5,112,114,105,110,116,114,51,0,0,0,218,6,115,116,100, 101,114,114,41,3,218,7,109,101,115,115,97,103,101,114,76, - 0,0,0,114,63,0,0,0,32,32,32,114,5,0,0,0, + 0,0,0,114,63,0,0,0,63,63,63,114,5,0,0,0, 218,16,95,118,101,114,98,111,115,101,95,109,101,115,115,97, 103,101,244,0,0,0,115,10,0,0,0,12,2,10,1,8, 1,24,1,4,253,114,17,0,0,0,114,84,0,0,0,99, @@ -446,7 +446,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 109,111,100,117,108,101,95,110,97,109,101,115,218,11,73,109, 112,111,114,116,69,114,114,111,114,114,51,0,0,0,169,3, 114,34,0,0,0,218,8,102,117,108,108,110,97,109,101,218, - 3,102,120,110,32,32,128,114,5,0,0,0,218,25,95,114, + 3,102,120,110,63,63,128,114,5,0,0,0,218,25,95,114, 101,113,117,105,114,101,115,95,98,117,105,108,116,105,110,95, 119,114,97,112,112,101,114,254,0,0,0,243,10,0,0,0, 10,1,10,1,2,1,6,255,10,2,114,17,0,0,0,122, @@ -454,7 +454,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 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, 97,112,112,101,114,78,169,1,114,16,0,0,0,41,3,114, - 91,0,0,0,114,92,0,0,0,114,91,0,0,0,96,32, + 91,0,0,0,114,92,0,0,0,114,91,0,0,0,127,63, 64,114,5,0,0,0,218,17,95,114,101,113,117,105,114,101, 115,95,98,117,105,108,116,105,110,252,0,0,0,243,6,0, 0,0,12,2,10,5,4,1,114,17,0,0,0,114,95,0, @@ -471,7 +471,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 97,32,102,114,111,122,101,110,32,109,111,100,117,108,101,114, 19,0,0,0,41,4,114,65,0,0,0,218,9,105,115,95, 102,114,111,122,101,110,114,88,0,0,0,114,51,0,0,0, - 114,89,0,0,0,32,32,128,114,5,0,0,0,218,24,95, + 114,89,0,0,0,63,63,128,114,5,0,0,0,218,24,95, 114,101,113,117,105,114,101,115,95,102,114,111,122,101,110,95, 119,114,97,112,112,101,114,9,1,0,0,114,93,0,0,0, 114,17,0,0,0,122,50,95,114,101,113,117,105,114,101,115, @@ -479,7 +479,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 46,95,114,101,113,117,105,114,101,115,95,102,114,111,122,101, 110,95,119,114,97,112,112,101,114,78,114,94,0,0,0,41, 3,114,91,0,0,0,114,99,0,0,0,114,91,0,0,0, - 96,32,64,114,5,0,0,0,218,16,95,114,101,113,117,105, + 127,63,64,114,5,0,0,0,218,16,95,114,101,113,117,105, 114,101,115,95,102,114,111,122,101,110,7,1,0,0,114,96, 0,0,0,114,17,0,0,0,114,100,0,0,0,99,2,0, 0,0,0,0,0,0,0,0,0,0,4,0,0,0,3,0, @@ -510,7 +510,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 7,109,111,100,117,108,101,115,218,5,95,101,120,101,99,218, 5,95,108,111,97,100,41,5,114,34,0,0,0,114,90,0, 0,0,218,3,109,115,103,218,4,115,112,101,99,218,6,109, - 111,100,117,108,101,32,32,32,32,32,114,5,0,0,0,218, + 111,100,117,108,101,63,63,63,63,63,114,5,0,0,0,218, 17,95,108,111,97,100,95,109,111,100,117,108,101,95,115,104, 105,109,19,1,0,0,115,16,0,0,0,4,6,12,2,10, 1,10,1,10,1,10,1,10,1,8,2,114,17,0,0,0, @@ -544,7 +544,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 2,0,0,0,218,8,95,95,102,105,108,101,95,95,114,51, 0,0,0,41,5,114,110,0,0,0,218,6,108,111,97,100, 101,114,114,109,0,0,0,114,20,0,0,0,218,8,102,105, - 108,101,110,97,109,101,32,32,32,32,32,114,5,0,0,0, + 108,101,110,97,109,101,63,63,63,63,63,114,5,0,0,0, 218,12,95,109,111,100,117,108,101,95,114,101,112,114,38,1, 0,0,115,56,0,0,0,12,2,16,1,8,1,10,1,2, 1,10,1,2,128,12,1,4,1,2,128,2,2,8,1,2, @@ -670,7 +670,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 110,115,218,13,95,115,101,116,95,102,105,108,101,97,116,116, 114,218,7,95,99,97,99,104,101,100,41,6,114,34,0,0, 0,114,20,0,0,0,114,122,0,0,0,114,126,0,0,0, - 114,127,0,0,0,114,128,0,0,0,32,32,32,32,32,32, + 114,127,0,0,0,114,128,0,0,0,63,63,63,63,63,63, 114,5,0,0,0,114,35,0,0,0,101,1,0,0,115,14, 0,0,0,6,2,6,1,6,1,6,1,14,1,6,3,10, 1,114,17,0,0,0,122,19,77,111,100,117,108,101,83,112, @@ -692,7 +692,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 126,0,0,0,218,6,97,112,112,101,110,100,114,129,0,0, 0,218,9,95,95,99,108,97,115,115,95,95,114,8,0,0, 0,218,4,106,111,105,110,41,2,114,34,0,0,0,114,63, - 0,0,0,32,32,114,5,0,0,0,114,54,0,0,0,113, + 0,0,0,63,63,114,5,0,0,0,114,54,0,0,0,113, 1,0,0,115,20,0,0,0,10,1,10,1,4,255,10,2, 18,1,10,1,6,1,8,1,4,255,22,2,114,17,0,0, 0,122,19,77,111,100,117,108,101,83,112,101,99,46,95,95, @@ -710,7 +710,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 95,108,111,99,97,116,105,111,110,114,2,0,0,0,218,14, 78,111,116,73,109,112,108,101,109,101,110,116,101,100,41,3, 114,34,0,0,0,90,5,111,116,104,101,114,90,4,115,109, - 115,108,32,32,32,114,5,0,0,0,218,6,95,95,101,113, + 115,108,63,63,63,114,5,0,0,0,218,6,95,95,101,113, 95,95,123,1,0,0,115,36,0,0,0,6,1,2,1,12, 1,10,1,2,255,10,2,2,254,8,3,2,253,10,4,2, 252,10,5,2,251,2,128,12,6,8,1,2,128,2,255,115, @@ -726,14 +726,14 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 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, - 99,104,101,100,114,53,0,0,0,32,114,5,0,0,0,114, + 99,104,101,100,114,53,0,0,0,63,114,5,0,0,0,114, 135,0,0,0,135,1,0,0,115,12,0,0,0,10,2,16, 1,8,1,4,1,14,1,6,1,114,17,0,0,0,122,17, 77,111,100,117,108,101,83,112,101,99,46,99,97,99,104,101, 100,99,2,0,0,0,0,0,0,0,0,0,0,0,2,0, 0,0,3,0,0,0,115,10,0,0,0,124,1,124,0,95, 0,100,0,83,0,114,0,0,0,0,41,1,114,131,0,0, - 0,41,2,114,34,0,0,0,114,135,0,0,0,32,32,114, + 0,41,2,114,34,0,0,0,114,135,0,0,0,63,63,114, 5,0,0,0,114,135,0,0,0,144,1,0,0,115,2,0, 0,0,10,2,114,17,0,0,0,99,1,0,0,0,0,0, 0,0,0,0,0,0,3,0,0,0,3,0,0,0,115,32, @@ -743,22 +743,22 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 111,102,32,116,104,101,32,109,111,100,117,108,101,39,115,32, 112,97,114,101,110,116,46,78,218,1,46,114,26,0,0,0, 41,3,114,129,0,0,0,114,20,0,0,0,218,10,114,112, - 97,114,116,105,116,105,111,110,114,53,0,0,0,32,114,5, + 97,114,116,105,116,105,111,110,114,53,0,0,0,63,114,5, 0,0,0,218,6,112,97,114,101,110,116,148,1,0,0,115, 6,0,0,0,10,3,16,1,6,2,114,17,0,0,0,122, 17,77,111,100,117,108,101,83,112,101,99,46,112,97,114,101, 110,116,99,1,0,0,0,0,0,0,0,0,0,0,0,1, 0,0,0,3,0,0,0,115,6,0,0,0,124,0,106,0, 83,0,114,0,0,0,0,41,1,114,130,0,0,0,114,53, - 0,0,0,32,114,5,0,0,0,114,136,0,0,0,156,1, + 0,0,0,63,114,5,0,0,0,114,136,0,0,0,156,1, 0,0,115,2,0,0,0,6,2,114,17,0,0,0,122,23, 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, 0,0,0,0,2,0,0,0,3,0,0,0,115,14,0,0, 0,116,0,124,1,131,1,124,0,95,1,100,0,83,0,114, 0,0,0,0,41,2,218,4,98,111,111,108,114,130,0,0, - 0,41,2,114,34,0,0,0,218,5,118,97,108,117,101,32, - 32,114,5,0,0,0,114,136,0,0,0,160,1,0,0,115, + 0,41,2,114,34,0,0,0,218,5,118,97,108,117,101,63, + 63,114,5,0,0,0,114,136,0,0,0,160,1,0,0,115, 2,0,0,0,14,2,114,17,0,0,0,41,12,114,8,0, 0,0,114,7,0,0,0,114,1,0,0,0,114,9,0,0, 0,114,35,0,0,0,114,54,0,0,0,114,138,0,0,0, @@ -792,7 +792,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 105,111,110,114,128,0,0,0,114,88,0,0,0,114,125,0, 0,0,41,6,114,20,0,0,0,114,122,0,0,0,114,126, 0,0,0,114,128,0,0,0,114,149,0,0,0,90,6,115, - 101,97,114,99,104,32,32,32,32,32,32,114,5,0,0,0, + 101,97,114,99,104,63,63,63,63,63,63,114,5,0,0,0, 114,104,0,0,0,165,1,0,0,115,42,0,0,0,10,2, 8,1,4,1,6,1,8,2,12,1,12,1,6,1,2,1, 6,255,8,3,10,1,2,1,12,1,2,128,12,1,8,1, @@ -827,8 +827,8 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 0,0,0,114,135,0,0,0,114,129,0,0,0,41,8,114, 110,0,0,0,114,122,0,0,0,114,126,0,0,0,114,109, 0,0,0,114,20,0,0,0,90,8,108,111,99,97,116,105, - 111,110,114,135,0,0,0,114,129,0,0,0,32,32,32,32, - 32,32,32,32,114,5,0,0,0,218,17,95,115,112,101,99, + 111,110,114,135,0,0,0,114,129,0,0,0,63,63,63,63, + 63,63,63,63,114,5,0,0,0,218,17,95,115,112,101,99, 95,102,114,111,109,95,109,111,100,117,108,101,191,1,0,0, 115,108,0,0,0,2,2,8,1,2,128,12,1,4,1,2, 128,8,2,4,1,6,2,8,1,2,1,8,1,2,128,12, @@ -886,8 +886,8 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 158,0,0,0,114,113,0,0,0,114,154,0,0,0,114,136, 0,0,0,114,126,0,0,0,114,135,0,0,0,114,152,0, 0,0,41,5,114,109,0,0,0,114,110,0,0,0,114,157, - 0,0,0,114,122,0,0,0,114,159,0,0,0,32,32,32, - 32,32,114,5,0,0,0,218,18,95,105,110,105,116,95,109, + 0,0,0,114,122,0,0,0,114,159,0,0,0,63,63,63, + 63,63,114,5,0,0,0,218,18,95,105,110,105,116,95,109, 111,100,117,108,101,95,97,116,116,114,115,236,1,0,0,115, 142,0,0,0,20,4,2,1,10,1,2,128,12,1,4,1, 2,128,20,2,6,1,8,1,10,2,8,1,4,1,6,1, @@ -925,7 +925,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 41,41,7,114,10,0,0,0,114,122,0,0,0,114,162,0, 0,0,114,88,0,0,0,114,21,0,0,0,114,20,0,0, 0,114,161,0,0,0,169,2,114,109,0,0,0,114,110,0, - 0,0,32,32,114,5,0,0,0,218,16,109,111,100,117,108, + 0,0,63,63,114,5,0,0,0,218,16,109,111,100,117,108, 101,95,102,114,111,109,95,115,112,101,99,52,2,0,0,115, 18,0,0,0,4,3,12,1,14,3,12,1,8,1,8,2, 10,1,10,1,4,1,114,17,0,0,0,114,165,0,0,0, @@ -944,7 +944,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 109,111,100,117,108,101,32,123,33,114,125,32,40,123,125,41, 62,41,5,114,20,0,0,0,114,126,0,0,0,114,122,0, 0,0,114,51,0,0,0,114,136,0,0,0,41,2,114,109, - 0,0,0,114,20,0,0,0,32,32,114,5,0,0,0,114, + 0,0,0,114,20,0,0,0,63,63,114,5,0,0,0,114, 119,0,0,0,69,2,0,0,115,16,0,0,0,20,3,10, 1,10,1,10,1,14,2,6,2,14,1,16,2,114,17,0, 0,0,114,119,0,0,0,99,2,0,0,0,0,0,0,0, @@ -987,7 +987,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 109,112,111,114,116,87,97,114,110,105,110,103,218,11,108,111, 97,100,95,109,111,100,117,108,101,114,163,0,0,0,218,3, 112,111,112,41,4,114,109,0,0,0,114,110,0,0,0,114, - 20,0,0,0,114,108,0,0,0,32,32,32,32,114,5,0, + 20,0,0,0,114,108,0,0,0,63,63,63,63,114,5,0, 0,0,114,106,0,0,0,86,2,0,0,115,50,0,0,0, 6,2,10,1,16,1,10,1,12,1,2,1,10,1,10,1, 14,1,16,2,14,2,12,1,16,1,12,2,14,1,12,2, @@ -1021,7 +1021,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 0,114,171,0,0,0,114,12,0,0,0,114,112,0,0,0, 114,2,0,0,0,114,8,0,0,0,114,158,0,0,0,114, 10,0,0,0,114,142,0,0,0,114,113,0,0,0,114,164, - 0,0,0,32,32,114,5,0,0,0,218,25,95,108,111,97, + 0,0,0,63,63,114,5,0,0,0,218,25,95,108,111,97, 100,95,98,97,99,107,119,97,114,100,95,99,111,109,112,97, 116,105,98,108,101,116,2,0,0,115,80,0,0,0,2,3, 16,1,2,128,6,1,12,1,14,1,12,1,2,1,2,128, @@ -1060,7 +1060,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 114,105,0,0,0,114,20,0,0,0,114,129,0,0,0,114, 88,0,0,0,114,163,0,0,0,114,71,0,0,0,114,171, 0,0,0,114,84,0,0,0,41,3,114,109,0,0,0,114, - 108,0,0,0,114,110,0,0,0,32,32,32,114,5,0,0, + 108,0,0,0,114,110,0,0,0,63,63,63,114,5,0,0, 0,218,14,95,108,111,97,100,95,117,110,108,111,99,107,101, 100,152,2,0,0,115,66,0,0,0,10,2,12,2,16,1, 12,2,8,1,8,2,6,5,2,1,12,1,2,1,10,1, @@ -1090,7 +1090,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 117,108,101,32,103,101,116,115,10,32,32,32,32,99,108,111, 98,98,101,114,101,100,46,10,10,32,32,32,32,78,41,3, 114,58,0,0,0,114,20,0,0,0,114,173,0,0,0,169, - 1,114,109,0,0,0,32,114,5,0,0,0,114,107,0,0, + 1,114,109,0,0,0,63,114,5,0,0,0,114,107,0,0, 0,197,2,0,0,115,10,0,0,0,12,9,6,1,14,255, 22,128,4,0,115,12,0,0,0,133,4,16,3,144,4,20, 11,149,3,20,11,114,107,0,0,0,99,0,0,0,0,0, @@ -1134,7 +1134,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 32,51,46,49,50,122,8,60,109,111,100,117,108,101,32,122, 2,32,40,122,2,41,62,78,41,6,114,101,0,0,0,114, 102,0,0,0,114,103,0,0,0,114,8,0,0,0,114,175, - 0,0,0,114,151,0,0,0,169,1,114,110,0,0,0,32, + 0,0,0,114,151,0,0,0,169,1,114,110,0,0,0,63, 114,5,0,0,0,114,114,0,0,0,223,2,0,0,115,8, 0,0,0,6,7,2,1,4,255,22,2,114,17,0,0,0, 122,27,66,117,105,108,116,105,110,73,109,112,111,114,116,101, @@ -1147,7 +1147,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 0,90,10,105,115,95,98,117,105,108,116,105,110,114,104,0, 0,0,114,151,0,0,0,169,4,218,3,99,108,115,114,90, 0,0,0,218,4,112,97,116,104,218,6,116,97,114,103,101, - 116,32,32,32,32,114,5,0,0,0,218,9,102,105,110,100, + 116,63,63,63,63,114,5,0,0,0,218,9,102,105,110,100, 95,115,112,101,99,234,2,0,0,115,10,0,0,0,8,2, 4,1,10,1,16,1,4,2,114,17,0,0,0,122,25,66, 117,105,108,116,105,110,73,109,112,111,114,116,101,114,46,102, @@ -1176,8 +1176,8 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 99,40,41,32,105,110,115,116,101,97,100,78,41,5,114,101, 0,0,0,114,102,0,0,0,114,103,0,0,0,114,183,0, 0,0,114,122,0,0,0,41,4,114,180,0,0,0,114,90, - 0,0,0,114,181,0,0,0,114,109,0,0,0,32,32,32, - 32,114,5,0,0,0,218,11,102,105,110,100,95,109,111,100, + 0,0,0,114,181,0,0,0,114,109,0,0,0,63,63,63, + 63,114,5,0,0,0,218,11,102,105,110,100,95,109,111,100, 117,108,101,243,2,0,0,115,10,0,0,0,6,9,2,2, 4,254,12,3,18,1,114,17,0,0,0,122,27,66,117,105, 108,116,105,110,73,109,112,111,114,116,101,114,46,102,105,110, @@ -1192,7 +1192,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 0,0,0,114,87,0,0,0,114,88,0,0,0,114,51,0, 0,0,114,75,0,0,0,114,65,0,0,0,90,14,99,114, 101,97,116,101,95,98,117,105,108,116,105,110,114,174,0,0, - 0,32,114,5,0,0,0,114,162,0,0,0,2,3,0,0, + 0,63,114,5,0,0,0,114,162,0,0,0,2,3,0,0, 115,10,0,0,0,12,3,12,1,4,1,6,255,12,2,114, 17,0,0,0,122,29,66,117,105,108,116,105,110,73,109,112, 111,114,116,101,114,46,99,114,101,97,116,101,95,109,111,100, @@ -1202,7 +1202,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 22,69,120,101,99,32,97,32,98,117,105,108,116,45,105,110, 32,109,111,100,117,108,101,78,41,3,114,75,0,0,0,114, 65,0,0,0,90,12,101,120,101,99,95,98,117,105,108,116, - 105,110,114,177,0,0,0,32,114,5,0,0,0,114,163,0, + 105,110,114,177,0,0,0,63,114,5,0,0,0,114,163,0, 0,0,10,3,0,0,115,2,0,0,0,16,3,114,17,0, 0,0,122,27,66,117,105,108,116,105,110,73,109,112,111,114, 116,101,114,46,101,120,101,99,95,109,111,100,117,108,101,99, @@ -1212,7 +1212,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 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, 101,32,111,98,106,101,99,116,115,46,78,114,23,0,0,0, - 169,2,114,180,0,0,0,114,90,0,0,0,32,32,114,5, + 169,2,114,180,0,0,0,114,90,0,0,0,63,63,114,5, 0,0,0,218,8,103,101,116,95,99,111,100,101,15,3,0, 0,243,2,0,0,0,4,4,114,17,0,0,0,122,24,66, 117,105,108,116,105,110,73,109,112,111,114,116,101,114,46,103, @@ -1222,7 +1222,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 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, 32,115,111,117,114,99,101,32,99,111,100,101,46,78,114,23, - 0,0,0,114,186,0,0,0,32,32,114,5,0,0,0,218, + 0,0,0,114,186,0,0,0,63,63,114,5,0,0,0,218, 10,103,101,116,95,115,111,117,114,99,101,21,3,0,0,114, 188,0,0,0,114,17,0,0,0,122,26,66,117,105,108,116, 105,110,73,109,112,111,114,116,101,114,46,103,101,116,95,115, @@ -1232,7 +1232,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 97,115,32,98,117,105,108,116,45,105,110,32,109,111,100,117, 108,101,115,32,97,114,101,32,110,101,118,101,114,32,112,97, 99,107,97,103,101,115,46,70,78,114,23,0,0,0,114,186, - 0,0,0,32,32,114,5,0,0,0,114,128,0,0,0,27, + 0,0,0,63,63,114,5,0,0,0,114,128,0,0,0,27, 3,0,0,114,188,0,0,0,114,17,0,0,0,122,26,66, 117,105,108,116,105,110,73,109,112,111,114,116,101,114,46,105, 115,95,112,97,99,107,97,103,101,169,2,78,78,114,0,0, @@ -1281,7 +1281,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 49,50,114,166,0,0,0,78,41,7,114,101,0,0,0,114, 102,0,0,0,114,103,0,0,0,114,51,0,0,0,114,8, 0,0,0,114,193,0,0,0,114,151,0,0,0,41,1,218, - 1,109,32,114,5,0,0,0,114,114,0,0,0,47,3,0, + 1,109,63,114,5,0,0,0,114,114,0,0,0,47,3,0, 0,115,8,0,0,0,6,7,2,1,4,255,16,2,114,17, 0,0,0,122,26,70,114,111,122,101,110,73,109,112,111,114, 116,101,114,46,109,111,100,117,108,101,95,114,101,112,114,78, @@ -1290,7 +1290,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 161,1,114,13,116,2,124,1,124,0,124,0,106,3,100,1, 141,3,83,0,100,0,83,0,114,178,0,0,0,41,4,114, 65,0,0,0,114,98,0,0,0,114,104,0,0,0,114,151, - 0,0,0,114,179,0,0,0,32,32,32,32,114,5,0,0, + 0,0,0,114,179,0,0,0,63,63,63,63,114,5,0,0, 0,114,183,0,0,0,58,3,0,0,115,6,0,0,0,10, 2,16,1,4,2,114,17,0,0,0,122,24,70,114,111,122, 101,110,73,109,112,111,114,116,101,114,46,102,105,110,100,95, @@ -1313,7 +1313,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 32,105,110,115,116,101,97,100,78,41,5,114,101,0,0,0, 114,102,0,0,0,114,103,0,0,0,114,65,0,0,0,114, 98,0,0,0,41,3,114,180,0,0,0,114,90,0,0,0, - 114,181,0,0,0,32,32,32,114,5,0,0,0,114,184,0, + 114,181,0,0,0,63,63,63,114,5,0,0,0,114,184,0, 0,0,65,3,0,0,115,8,0,0,0,6,7,2,2,4, 254,18,3,114,17,0,0,0,122,26,70,114,111,122,101,110, 73,109,112,111,114,116,101,114,46,102,105,110,100,95,109,111, @@ -1322,7 +1322,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 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, 108,101,32,99,114,101,97,116,105,111,110,46,78,114,23,0, - 0,0,114,174,0,0,0,32,114,5,0,0,0,114,162,0, + 0,0,114,174,0,0,0,63,114,5,0,0,0,114,162,0, 0,0,77,3,0,0,115,2,0,0,0,4,0,114,17,0, 0,0,122,28,70,114,111,122,101,110,73,109,112,111,114,116, 101,114,46,99,114,101,97,116,101,95,109,111,100,117,108,101, @@ -1337,7 +1337,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 75,0,0,0,218,17,103,101,116,95,102,114,111,122,101,110, 95,111,98,106,101,99,116,218,4,101,120,101,99,114,13,0, 0,0,41,3,114,110,0,0,0,114,20,0,0,0,218,4, - 99,111,100,101,32,32,32,114,5,0,0,0,114,163,0,0, + 99,111,100,101,63,63,63,114,5,0,0,0,114,163,0,0, 0,81,3,0,0,115,14,0,0,0,8,2,10,1,10,1, 2,1,6,255,12,2,16,1,114,17,0,0,0,122,26,70, 114,111,122,101,110,73,109,112,111,114,116,101,114,46,101,120, @@ -1350,7 +1350,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 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, - 78,41,1,114,111,0,0,0,114,186,0,0,0,32,32,114, + 78,41,1,114,111,0,0,0,114,186,0,0,0,63,63,114, 5,0,0,0,114,170,0,0,0,90,3,0,0,115,2,0, 0,0,10,8,114,17,0,0,0,122,26,70,114,111,122,101, 110,73,109,112,111,114,116,101,114,46,108,111,97,100,95,109, @@ -1360,7 +1360,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 117,114,110,32,116,104,101,32,99,111,100,101,32,111,98,106, 101,99,116,32,102,111,114,32,116,104,101,32,102,114,111,122, 101,110,32,109,111,100,117,108,101,46,78,41,2,114,65,0, - 0,0,114,195,0,0,0,114,186,0,0,0,32,32,114,5, + 0,0,114,195,0,0,0,114,186,0,0,0,63,63,114,5, 0,0,0,114,187,0,0,0,100,3,0,0,243,2,0,0, 0,10,4,114,17,0,0,0,122,23,70,114,111,122,101,110, 73,109,112,111,114,116,101,114,46,103,101,116,95,99,111,100, @@ -1370,7 +1370,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 111,122,101,110,32,109,111,100,117,108,101,115,32,100,111,32, 110,111,116,32,104,97,118,101,32,115,111,117,114,99,101,32, 99,111,100,101,46,78,114,23,0,0,0,114,186,0,0,0, - 32,32,114,5,0,0,0,114,189,0,0,0,106,3,0,0, + 63,63,114,5,0,0,0,114,189,0,0,0,106,3,0,0, 114,188,0,0,0,114,17,0,0,0,122,25,70,114,111,122, 101,110,73,109,112,111,114,116,101,114,46,103,101,116,95,115, 111,117,114,99,101,99,2,0,0,0,0,0,0,0,0,0, @@ -1380,7 +1380,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 117,108,101,32,105,115,32,97,32,112,97,99,107,97,103,101, 46,78,41,2,114,65,0,0,0,90,17,105,115,95,102,114, 111,122,101,110,95,112,97,99,107,97,103,101,114,186,0,0, - 0,32,32,114,5,0,0,0,114,128,0,0,0,112,3,0, + 0,63,63,114,5,0,0,0,114,128,0,0,0,112,3,0, 0,114,199,0,0,0,114,17,0,0,0,122,25,70,114,111, 122,101,110,73,109,112,111,114,116,101,114,46,105,115,95,112, 97,99,107,97,103,101,114,190,0,0,0,114,0,0,0,0, @@ -1407,7 +1407,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 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, 46,78,41,2,114,65,0,0,0,114,66,0,0,0,114,53, - 0,0,0,32,114,5,0,0,0,114,62,0,0,0,125,3, + 0,0,0,63,114,5,0,0,0,114,62,0,0,0,125,3, 0,0,243,2,0,0,0,12,2,114,17,0,0,0,122,28, 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, @@ -1419,8 +1419,8 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 116,105,111,110,115,46,78,41,2,114,65,0,0,0,114,68, 0,0,0,41,4,114,34,0,0,0,218,8,101,120,99,95, 116,121,112,101,218,9,101,120,99,95,118,97,108,117,101,218, - 13,101,120,99,95,116,114,97,99,101,98,97,99,107,32,32, - 32,32,114,5,0,0,0,114,64,0,0,0,129,3,0,0, + 13,101,120,99,95,116,114,97,99,101,98,97,99,107,63,63, + 63,63,114,5,0,0,0,114,64,0,0,0,129,3,0,0, 114,202,0,0,0,114,17,0,0,0,122,27,95,73,109,112, 111,114,116,76,111,99,107,67,111,110,116,101,120,116,46,95, 95,101,120,105,116,95,95,78,41,6,114,8,0,0,0,114, @@ -1445,7 +1445,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 6,114,115,112,108,105,116,218,3,108,101,110,114,88,0,0, 0,114,51,0,0,0,41,5,114,20,0,0,0,218,7,112, 97,99,107,97,103,101,218,5,108,101,118,101,108,90,4,98, - 105,116,115,90,4,98,97,115,101,32,32,32,32,32,114,5, + 105,116,115,90,4,98,97,115,101,63,63,63,63,63,114,5, 0,0,0,218,13,95,114,101,115,111,108,118,101,95,110,97, 109,101,134,3,0,0,115,10,0,0,0,16,2,12,1,8, 1,8,1,20,1,114,17,0,0,0,114,211,0,0,0,99, @@ -1461,8 +1461,8 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 6,114,6,0,0,0,114,101,0,0,0,114,102,0,0,0, 114,169,0,0,0,114,184,0,0,0,114,104,0,0,0,41, 5,218,6,102,105,110,100,101,114,114,20,0,0,0,114,181, - 0,0,0,114,108,0,0,0,114,122,0,0,0,32,32,32, - 32,32,114,5,0,0,0,218,17,95,102,105,110,100,95,115, + 0,0,0,114,108,0,0,0,114,122,0,0,0,63,63,63, + 63,63,114,5,0,0,0,218,17,95,102,105,110,100,95,115, 112,101,99,95,108,101,103,97,99,121,143,3,0,0,115,12, 0,0,0,14,1,12,2,12,1,8,1,4,1,10,1,114, 17,0,0,0,114,213,0,0,0,99,3,0,0,0,0,0, @@ -1499,8 +1499,8 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 114,20,0,0,0,114,181,0,0,0,114,182,0,0,0,114, 214,0,0,0,90,9,105,115,95,114,101,108,111,97,100,114, 212,0,0,0,114,183,0,0,0,114,109,0,0,0,114,110, - 0,0,0,114,113,0,0,0,32,32,32,32,32,32,32,32, - 32,32,114,5,0,0,0,218,10,95,102,105,110,100,95,115, + 0,0,0,114,113,0,0,0,63,63,63,63,63,63,63,63, + 63,63,114,5,0,0,0,218,10,95,102,105,110,100,95,115, 112,101,99,153,3,0,0,115,76,0,0,0,6,2,8,1, 8,2,4,3,12,1,10,5,8,1,8,1,2,1,8,1, 2,128,12,1,12,1,8,1,2,1,12,250,4,5,2,128, @@ -1536,7 +1536,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 115,116,114,218,9,84,121,112,101,69,114,114,111,114,114,51, 0,0,0,114,3,0,0,0,218,10,86,97,108,117,101,69, 114,114,111,114,114,88,0,0,0,169,3,114,20,0,0,0, - 114,209,0,0,0,114,210,0,0,0,32,32,32,114,5,0, + 114,209,0,0,0,114,210,0,0,0,63,63,63,114,5,0, 0,0,218,13,95,115,97,110,105,116,121,95,99,104,101,99, 107,200,3,0,0,115,24,0,0,0,10,2,18,1,8,1, 8,1,8,1,10,1,8,1,4,1,8,1,12,2,8,1, @@ -1577,7 +1577,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 112,111,114,116,95,114,181,0,0,0,114,143,0,0,0,90, 13,112,97,114,101,110,116,95,109,111,100,117,108,101,114,108, 0,0,0,114,109,0,0,0,114,110,0,0,0,90,5,99, - 104,105,108,100,32,32,32,32,32,32,32,32,32,114,5,0, + 104,105,108,100,63,63,63,63,63,63,63,63,63,114,5,0, 0,0,218,23,95,102,105,110,100,95,97,110,100,95,108,111, 97,100,95,117,110,108,111,99,107,101,100,219,3,0,0,115, 68,0,0,0,4,1,14,1,4,1,10,1,10,1,10,2, @@ -1606,7 +1606,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 0,0,218,14,95,78,69,69,68,83,95,76,79,65,68,73, 78,71,114,226,0,0,0,114,51,0,0,0,114,224,0,0, 0,114,73,0,0,0,41,4,114,20,0,0,0,114,225,0, - 0,0,114,110,0,0,0,114,83,0,0,0,32,32,32,32, + 0,0,114,110,0,0,0,114,83,0,0,0,63,63,63,63, 114,5,0,0,0,218,14,95,102,105,110,100,95,97,110,100, 95,108,111,97,100,254,3,0,0,115,30,0,0,0,10,2, 14,1,8,1,8,1,14,253,2,2,12,254,22,128,8,5, @@ -1638,7 +1638,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 111,97,100,101,114,32,100,105,100,32,110,111,116,46,10,10, 32,32,32,32,114,26,0,0,0,78,41,4,114,221,0,0, 0,114,211,0,0,0,114,228,0,0,0,218,11,95,103,99, - 100,95,105,109,112,111,114,116,114,220,0,0,0,32,32,32, + 100,95,105,109,112,111,114,116,114,220,0,0,0,63,63,63, 114,5,0,0,0,114,229,0,0,0,14,4,0,0,115,8, 0,0,0,12,9,8,1,12,1,10,1,114,17,0,0,0, 114,229,0,0,0,169,1,218,9,114,101,99,117,114,115,105, @@ -1686,8 +1686,8 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 227,0,0,0,41,8,114,110,0,0,0,218,8,102,114,111, 109,108,105,115,116,114,225,0,0,0,114,231,0,0,0,218, 1,120,90,5,119,104,101,114,101,90,9,102,114,111,109,95, - 110,97,109,101,90,3,101,120,99,32,32,32,32,32,32,32, - 32,114,5,0,0,0,114,234,0,0,0,29,4,0,0,115, + 110,97,109,101,90,3,101,120,99,63,63,63,63,63,63,63, + 63,114,5,0,0,0,114,234,0,0,0,29,4,0,0,115, 58,0,0,0,8,10,10,1,4,1,12,1,4,2,10,1, 8,1,8,255,8,2,14,1,10,1,2,1,6,255,2,128, 10,2,14,1,2,1,12,1,2,128,12,1,10,4,16,1, @@ -1731,7 +1731,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 0,0,114,143,0,0,0,114,101,0,0,0,114,102,0,0, 0,114,169,0,0,0,114,142,0,0,0,41,3,218,7,103, 108,111,98,97,108,115,114,209,0,0,0,114,109,0,0,0, - 32,32,32,114,5,0,0,0,218,17,95,99,97,108,99,95, + 63,63,63,114,5,0,0,0,218,17,95,99,97,108,99,95, 95,95,112,97,99,107,97,103,101,95,95,66,4,0,0,115, 42,0,0,0,10,7,10,1,8,1,18,1,6,1,2,1, 4,255,4,1,6,255,4,2,6,254,4,3,8,1,6,1, @@ -1787,7 +1787,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 239,0,0,0,218,6,108,111,99,97,108,115,114,235,0,0, 0,114,210,0,0,0,114,110,0,0,0,90,8,103,108,111, 98,97,108,115,95,114,209,0,0,0,90,7,99,117,116,95, - 111,102,102,32,32,32,32,32,32,32,32,32,114,5,0,0, + 111,102,102,63,63,63,63,63,63,63,63,63,114,5,0,0, 0,218,10,95,95,105,109,112,111,114,116,95,95,93,4,0, 0,115,30,0,0,0,8,11,10,1,16,2,8,1,12,1, 4,1,8,3,18,1,4,1,4,1,26,4,30,3,10,1, @@ -1799,7 +1799,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 78,122,25,110,111,32,98,117,105,108,116,45,105,110,32,109, 111,100,117,108,101,32,110,97,109,101,100,32,41,4,114,175, 0,0,0,114,183,0,0,0,114,88,0,0,0,114,173,0, - 0,0,41,2,114,20,0,0,0,114,109,0,0,0,32,32, + 0,0,41,2,114,20,0,0,0,114,109,0,0,0,63,63, 114,5,0,0,0,218,18,95,98,117,105,108,116,105,110,95, 102,114,111,109,95,110,97,109,101,130,4,0,0,115,8,0, 0,0,10,1,8,1,12,1,8,1,114,17,0,0,0,114, @@ -1843,8 +1843,8 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 114,110,0,0,0,114,122,0,0,0,114,109,0,0,0,90, 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, - 116,105,110,95,109,111,100,117,108,101,32,32,32,32,32,32, - 32,32,32,32,114,5,0,0,0,218,6,95,115,101,116,117, + 116,105,110,95,109,111,100,117,108,101,63,63,63,63,63,63, + 63,63,63,63,114,5,0,0,0,218,6,95,115,101,116,117, 112,137,4,0,0,115,40,0,0,0,4,9,4,1,8,3, 18,1,10,1,10,1,6,1,10,1,6,1,2,2,10,1, 10,1,2,128,10,3,8,1,10,1,10,1,10,2,14,1, @@ -1858,7 +1858,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 100,32,102,114,111,122,101,110,32,109,111,100,117,108,101,115, 78,41,6,114,248,0,0,0,114,18,0,0,0,114,214,0, 0,0,114,132,0,0,0,114,175,0,0,0,114,193,0,0, - 0,41,2,114,246,0,0,0,114,247,0,0,0,32,32,114, + 0,41,2,114,246,0,0,0,114,247,0,0,0,63,63,114, 5,0,0,0,218,8,95,105,110,115,116,97,108,108,172,4, 0,0,115,6,0,0,0,10,2,12,2,16,1,114,17,0, 0,0,114,249,0,0,0,99,0,0,0,0,0,0,0,0, @@ -1873,7 +1873,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 105,109,112,111,114,116,108,105,98,95,101,120,116,101,114,110, 97,108,114,139,0,0,0,114,249,0,0,0,114,18,0,0, 0,114,105,0,0,0,114,8,0,0,0,41,1,114,250,0, - 0,0,32,114,5,0,0,0,218,27,95,105,110,115,116,97, + 0,0,63,114,5,0,0,0,218,27,95,105,110,115,116,97, 108,108,95,101,120,116,101,114,110,97,108,95,105,109,112,111, 114,116,101,114,115,180,4,0,0,115,6,0,0,0,8,3, 4,1,20,1,114,17,0,0,0,114,251,0,0,0,114,190, diff --git a/Python/importlib_external.h b/Python/importlib_external.h index 5026f2ad7100cb..14398101feff1a 100644 --- a/Python/importlib_external.h +++ b/Python/importlib_external.h @@ -77,7 +77,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 0,115,28,0,0,0,129,0,124,0,93,9,125,1,116,0, 124,1,131,1,100,0,107,2,86,0,1,0,113,2,100,1, 83,0,41,2,233,1,0,0,0,78,41,1,218,3,108,101, - 110,41,2,218,2,46,48,218,3,115,101,112,32,32,250,38, + 110,41,2,218,2,46,48,218,3,115,101,112,63,63,250,38, 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, 101,114,110,97,108,62,218,9,60,103,101,110,101,120,112,114, @@ -86,7 +86,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 0,0,0,0,0,0,0,4,0,0,0,3,0,0,0,115, 22,0,0,0,104,0,124,0,93,7,125,1,100,0,124,1, 155,0,157,2,146,2,113,2,83,0,41,1,250,1,58,169, - 0,41,2,114,5,0,0,0,218,1,115,32,32,114,7,0, + 0,41,2,114,5,0,0,0,218,1,115,63,63,114,7,0, 0,0,218,9,60,115,101,116,99,111,109,112,62,50,0,0, 0,115,2,0,0,0,22,0,114,9,0,0,0,114,14,0, 0,0,41,1,218,3,119,105,110,41,2,90,6,99,121,103, @@ -129,7 +129,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 84,73,86,69,95,80,76,65,84,70,79,82,77,83,218,35, 95,67,65,83,69,95,73,78,83,69,78,83,73,84,73,86, 69,95,80,76,65,84,70,79,82,77,83,95,83,84,82,95, - 75,69,89,41,2,114,22,0,0,0,114,21,0,0,0,32, + 75,69,89,41,2,114,22,0,0,0,114,21,0,0,0,63, 64,114,7,0,0,0,218,16,95,109,97,107,101,95,114,101, 108,97,120,95,99,97,115,101,60,0,0,0,115,16,0,0, 0,12,1,12,1,6,1,4,2,12,2,4,7,8,253,4, @@ -142,7 +142,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 101,110,100,105,97,110,46,236,3,0,0,0,255,127,255,127, 3,0,233,4,0,0,0,218,6,108,105,116,116,108,101,78, 41,2,218,3,105,110,116,218,8,116,111,95,98,121,116,101, - 115,41,1,218,1,120,32,114,7,0,0,0,218,12,95,112, + 115,41,1,218,1,120,63,114,7,0,0,0,218,12,95,112, 97,99,107,95,117,105,110,116,51,50,79,0,0,0,114,23, 0,0,0,114,9,0,0,0,114,37,0,0,0,99,1,0, 0,0,0,0,0,0,0,0,0,0,4,0,0,0,3,0, @@ -154,7 +154,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 116,101,103,101,114,46,114,32,0,0,0,114,33,0,0,0, 78,169,3,114,4,0,0,0,114,34,0,0,0,218,10,102, 114,111,109,95,98,121,116,101,115,169,1,218,4,100,97,116, - 97,32,114,7,0,0,0,218,14,95,117,110,112,97,99,107, + 97,63,114,7,0,0,0,218,14,95,117,110,112,97,99,107, 95,117,105,110,116,51,50,84,0,0,0,243,4,0,0,0, 16,2,12,1,114,9,0,0,0,114,43,0,0,0,99,1, 0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,3, @@ -163,7 +163,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 105,116,116,108,101,45,101,110,100,105,97,110,32,116,111,32, 97,110,32,105,110,116,101,103,101,114,46,233,2,0,0,0, 114,33,0,0,0,78,114,39,0,0,0,114,41,0,0,0, - 32,114,7,0,0,0,218,14,95,117,110,112,97,99,107,95, + 63,114,7,0,0,0,218,14,95,117,110,112,97,99,107,95, 117,105,110,116,49,54,89,0,0,0,114,44,0,0,0,114, 9,0,0,0,114,46,0,0,0,99,0,0,0,0,0,0, 0,0,0,0,0,0,4,0,0,0,7,0,0,0,115,228, @@ -190,7 +190,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 124,1,114,2,124,1,160,0,116,1,161,1,145,2,113,2, 83,0,114,12,0,0,0,169,2,218,6,114,115,116,114,105, 112,218,15,112,97,116,104,95,115,101,112,97,114,97,116,111, - 114,115,41,2,114,5,0,0,0,218,1,112,32,32,114,7, + 114,115,41,2,114,5,0,0,0,218,1,112,63,63,114,7, 0,0,0,218,10,60,108,105,115,116,99,111,109,112,62,119, 0,0,0,115,2,0,0,0,26,0,114,9,0,0,0,250, 30,95,112,97,116,104,95,106,111,105,110,46,60,108,111,99, @@ -204,7 +204,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 6,97,112,112,101,110,100,218,4,106,111,105,110,41,5,218, 10,112,97,116,104,95,112,97,114,116,115,218,4,114,111,111, 116,218,4,112,97,116,104,90,8,110,101,119,95,114,111,111, - 116,218,4,116,97,105,108,32,32,32,32,32,114,7,0,0, + 116,218,4,116,97,105,108,63,63,63,63,63,114,7,0,0, 0,218,10,95,112,97,116,104,95,106,111,105,110,96,0,0, 0,115,42,0,0,0,4,2,4,1,12,1,8,1,4,1, 4,1,20,1,20,1,14,1,12,1,10,1,16,1,4,3, @@ -216,10 +216,10 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 1,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0, 19,0,0,0,114,48,0,0,0,114,12,0,0,0,114,49, 0,0,0,41,2,114,5,0,0,0,218,4,112,97,114,116, - 32,32,114,7,0,0,0,114,53,0,0,0,128,0,0,0, + 63,63,114,7,0,0,0,114,53,0,0,0,128,0,0,0, 115,6,0,0,0,6,0,6,1,14,255,114,9,0,0,0, 114,54,0,0,0,78,41,2,114,59,0,0,0,114,62,0, - 0,0,41,1,114,63,0,0,0,32,114,7,0,0,0,114, + 0,0,41,1,114,63,0,0,0,63,114,7,0,0,0,114, 67,0,0,0,126,0,0,0,115,6,0,0,0,10,2,2, 1,8,255,114,9,0,0,0,99,1,0,0,0,0,0,0, 0,0,0,0,0,4,0,0,0,3,0,0,0,115,66,0, @@ -234,14 +234,14 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 0,0,129,0,124,0,93,8,125,1,136,0,160,0,124,1, 161,1,86,0,1,0,113,2,100,0,83,0,169,1,78,41, 1,218,5,114,102,105,110,100,41,3,114,5,0,0,0,114, - 52,0,0,0,114,65,0,0,0,32,32,128,114,7,0,0, + 52,0,0,0,114,65,0,0,0,63,63,128,114,7,0,0, 0,114,8,0,0,0,134,0,0,0,115,4,0,0,0,6, 128,20,0,114,9,0,0,0,122,30,95,112,97,116,104,95, 115,112,108,105,116,46,60,108,111,99,97,108,115,62,46,60, 103,101,110,101,120,112,114,62,114,0,0,0,0,114,10,0, 0,0,78,114,3,0,0,0,41,2,218,3,109,97,120,114, 51,0,0,0,41,3,114,65,0,0,0,218,1,105,114,65, - 0,0,0,96,32,64,114,7,0,0,0,218,11,95,112,97, + 0,0,0,127,63,64,114,7,0,0,0,218,11,95,112,97, 116,104,95,115,112,108,105,116,132,0,0,0,115,8,0,0, 0,22,2,8,1,8,1,28,1,114,9,0,0,0,114,73, 0,0,0,99,1,0,0,0,0,0,0,0,0,0,0,0, @@ -255,7 +255,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 101,110,116,115,10,32,32,32,32,40,101,46,103,46,32,99, 97,99,104,101,32,115,116,97,116,32,114,101,115,117,108,116, 115,41,46,10,10,32,32,32,32,78,41,2,114,19,0,0, - 0,90,4,115,116,97,116,169,1,114,65,0,0,0,32,114, + 0,90,4,115,116,97,116,169,1,114,65,0,0,0,63,114, 7,0,0,0,218,10,95,112,97,116,104,95,115,116,97,116, 140,0,0,0,115,2,0,0,0,10,7,114,9,0,0,0, 114,75,0,0,0,99,2,0,0,0,0,0,0,0,0,0, @@ -269,8 +269,8 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 32,116,121,112,101,46,70,105,0,240,0,0,78,41,3,114, 75,0,0,0,218,7,79,83,69,114,114,111,114,218,7,115, 116,95,109,111,100,101,41,3,114,65,0,0,0,218,4,109, - 111,100,101,90,9,115,116,97,116,95,105,110,102,111,32,32, - 32,114,7,0,0,0,218,18,95,112,97,116,104,95,105,115, + 111,100,101,90,9,115,116,97,116,95,105,110,102,111,63,63, + 63,114,7,0,0,0,218,18,95,112,97,116,104,95,105,115, 95,109,111,100,101,95,116,121,112,101,150,0,0,0,115,16, 0,0,0,2,2,10,1,2,128,12,1,6,1,2,128,14, 1,2,254,115,12,0,0,0,129,4,6,0,134,7,16,7, @@ -280,7 +280,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 31,82,101,112,108,97,99,101,109,101,110,116,32,102,111,114, 32,111,115,46,112,97,116,104,46,105,115,102,105,108,101,46, 105,0,128,0,0,78,41,1,114,79,0,0,0,114,74,0, - 0,0,32,114,7,0,0,0,218,12,95,112,97,116,104,95, + 0,0,63,114,7,0,0,0,218,12,95,112,97,116,104,95, 105,115,102,105,108,101,159,0,0,0,243,2,0,0,0,10, 2,114,9,0,0,0,114,80,0,0,0,99,1,0,0,0, 0,0,0,0,0,0,0,0,3,0,0,0,3,0,0,0, @@ -289,7 +289,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 101,112,108,97,99,101,109,101,110,116,32,102,111,114,32,111, 115,46,112,97,116,104,46,105,115,100,105,114,46,105,0,64, 0,0,78,41,3,114,19,0,0,0,218,6,103,101,116,99, - 119,100,114,79,0,0,0,114,74,0,0,0,32,114,7,0, + 119,100,114,79,0,0,0,114,74,0,0,0,63,114,7,0, 0,0,218,11,95,112,97,116,104,95,105,115,100,105,114,164, 0,0,0,115,6,0,0,0,4,2,8,1,10,1,114,9, 0,0,0,114,83,0,0,0,99,1,0,0,0,0,0,0, @@ -304,14 +304,14 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 0,0,114,3,0,0,0,122,2,92,92,78,41,6,114,19, 0,0,0,114,56,0,0,0,218,7,114,101,112,108,97,99, 101,114,4,0,0,0,114,27,0,0,0,114,58,0,0,0, - 41,2,114,65,0,0,0,114,64,0,0,0,32,32,114,7, + 41,2,114,65,0,0,0,114,64,0,0,0,63,63,114,7, 0,0,0,218,11,95,112,97,116,104,95,105,115,97,98,115, 172,0,0,0,115,8,0,0,0,4,2,4,1,22,1,32, 1,114,9,0,0,0,114,86,0,0,0,99,1,0,0,0, 0,0,0,0,0,0,0,0,3,0,0,0,3,0,0,0, 115,10,0,0,0,124,0,160,0,116,1,161,1,83,0,41, 2,114,84,0,0,0,78,41,2,114,27,0,0,0,114,51, - 0,0,0,114,74,0,0,0,32,114,7,0,0,0,114,86, + 0,0,0,114,74,0,0,0,63,114,7,0,0,0,114,86, 0,0,0,180,0,0,0,114,81,0,0,0,114,9,0,0, 0,233,182,1,0,0,99,3,0,0,0,0,0,0,0,0, 0,0,0,11,0,0,0,3,0,0,0,115,178,0,0,0, @@ -345,7 +345,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 101,114,85,0,0,0,114,76,0,0,0,90,6,117,110,108, 105,110,107,41,6,114,65,0,0,0,114,42,0,0,0,114, 78,0,0,0,90,8,112,97,116,104,95,116,109,112,90,2, - 102,100,218,4,102,105,108,101,32,32,32,32,32,32,114,7, + 102,100,218,4,102,105,108,101,63,63,63,63,63,63,114,7, 0,0,0,218,13,95,119,114,105,116,101,95,97,116,111,109, 105,99,185,0,0,0,115,44,0,0,0,16,5,6,1,22, 1,4,255,2,2,14,3,10,1,12,255,22,128,16,2,2, @@ -467,8 +467,8 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 101,97,100,114,66,0,0,0,90,4,98,97,115,101,114,6, 0,0,0,218,4,114,101,115,116,90,3,116,97,103,90,15, 97,108,109,111,115,116,95,102,105,108,101,110,97,109,101,218, - 8,102,105,108,101,110,97,109,101,32,32,32,32,32,32,32, - 32,32,32,32,32,114,7,0,0,0,218,17,99,97,99,104, + 8,102,105,108,101,110,97,109,101,63,63,63,63,63,63,63, + 63,63,63,63,63,114,7,0,0,0,218,17,99,97,99,104, 101,95,102,114,111,109,95,115,111,117,114,99,101,128,1,0, 0,115,72,0,0,0,8,18,6,1,2,1,4,255,8,2, 4,1,8,1,12,1,10,1,12,1,16,1,8,1,8,1, @@ -548,8 +548,8 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 101,100,95,112,97,116,104,90,7,112,121,99,97,99,104,101, 90,9,100,111,116,95,99,111,117,110,116,114,96,0,0,0, 90,9,111,112,116,95,108,101,118,101,108,90,13,98,97,115, - 101,95,102,105,108,101,110,97,109,101,32,32,32,32,32,32, - 32,32,32,32,114,7,0,0,0,218,17,115,111,117,114,99, + 101,95,102,105,108,101,110,97,109,101,63,63,63,63,63,63, + 63,63,63,63,114,7,0,0,0,218,17,115,111,117,114,99, 101,95,102,114,111,109,95,99,97,99,104,101,199,1,0,0, 115,60,0,0,0,12,9,8,1,10,1,12,1,4,1,10, 1,12,1,14,1,16,1,4,1,4,1,12,1,8,1,8, @@ -584,7 +584,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 0,0,0,41,5,218,13,98,121,116,101,99,111,100,101,95, 112,97,116,104,114,119,0,0,0,218,1,95,90,9,101,120, 116,101,110,115,105,111,110,218,11,115,111,117,114,99,101,95, - 112,97,116,104,32,32,32,32,32,114,7,0,0,0,218,15, + 112,97,116,104,63,63,63,63,63,114,7,0,0,0,218,15, 95,103,101,116,95,115,111,117,114,99,101,102,105,108,101,239, 1,0,0,115,26,0,0,0,12,7,4,1,16,1,24,1, 4,1,2,1,10,1,2,128,16,1,16,1,2,128,16,1, @@ -598,7 +598,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 83,0,100,0,83,0,119,0,114,69,0,0,0,41,6,114, 58,0,0,0,218,5,116,117,112,108,101,114,127,0,0,0, 114,121,0,0,0,114,107,0,0,0,114,113,0,0,0,41, - 1,114,120,0,0,0,32,114,7,0,0,0,218,11,95,103, + 1,114,120,0,0,0,63,114,7,0,0,0,218,11,95,103, 101,116,95,99,97,99,104,101,100,2,2,0,0,115,22,0, 0,0,14,1,2,1,8,1,2,128,12,1,6,1,2,128, 14,1,4,1,4,2,2,251,115,12,0,0,0,136,3,12, @@ -613,7 +613,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 111,114,32,97,32,98,121,116,101,99,111,100,101,32,102,105, 108,101,46,114,87,0,0,0,233,128,0,0,0,78,41,3, 114,75,0,0,0,114,77,0,0,0,114,76,0,0,0,41, - 2,114,65,0,0,0,114,78,0,0,0,32,32,114,7,0, + 2,114,65,0,0,0,114,78,0,0,0,63,63,114,7,0, 0,0,218,10,95,99,97,108,99,95,109,111,100,101,14,2, 0,0,115,18,0,0,0,2,2,12,1,2,128,12,1,8, 1,2,128,8,3,4,1,2,251,115,12,0,0,0,129,5, @@ -651,7 +651,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 141,0,0,0,218,11,73,109,112,111,114,116,69,114,114,111, 114,41,5,218,4,115,101,108,102,114,141,0,0,0,218,4, 97,114,103,115,218,6,107,119,97,114,103,115,218,6,109,101, - 116,104,111,100,32,32,32,32,128,114,7,0,0,0,218,19, + 116,104,111,100,63,63,63,63,128,114,7,0,0,0,218,19, 95,99,104,101,99,107,95,110,97,109,101,95,119,114,97,112, 112,101,114,34,2,0,0,115,18,0,0,0,8,1,8,1, 10,1,4,1,12,1,2,255,2,1,6,255,24,2,114,9, @@ -670,14 +670,14 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 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, 41,3,90,3,110,101,119,90,3,111,108,100,114,85,0,0, - 0,32,32,32,114,7,0,0,0,218,5,95,119,114,97,112, + 0,63,63,63,114,7,0,0,0,218,5,95,119,114,97,112, 47,2,0,0,115,10,0,0,0,8,1,10,1,18,1,2, 128,18,1,114,9,0,0,0,122,26,95,99,104,101,99,107, 95,110,97,109,101,46,60,108,111,99,97,108,115,62,46,95, 119,114,97,112,114,69,0,0,0,41,2,218,10,95,98,111, 111,116,115,116,114,97,112,114,157,0,0,0,41,4,114,146, 0,0,0,114,147,0,0,0,114,157,0,0,0,114,146,0, - 0,0,96,32,32,64,114,7,0,0,0,218,11,95,99,104, + 0,0,127,63,63,64,114,7,0,0,0,218,11,95,99,104, 101,99,107,95,110,97,109,101,26,2,0,0,115,12,0,0, 0,14,8,8,10,8,1,8,2,10,6,4,1,114,9,0, 0,0,114,159,0,0,0,99,2,0,0,0,0,0,0,0, @@ -711,7 +711,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 218,13,73,109,112,111,114,116,87,97,114,110,105,110,103,41, 5,114,143,0,0,0,218,8,102,117,108,108,110,97,109,101, 218,6,108,111,97,100,101,114,218,8,112,111,114,116,105,111, - 110,115,218,3,109,115,103,32,32,32,32,32,114,7,0,0, + 110,115,218,3,109,115,103,63,63,63,63,63,114,7,0,0, 0,218,17,95,102,105,110,100,95,109,111,100,117,108,101,95, 115,104,105,109,57,2,0,0,115,16,0,0,0,6,7,2, 2,4,254,14,6,16,1,4,1,22,1,4,1,114,9,0, @@ -778,8 +778,8 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 0,114,4,0,0,0,218,8,69,79,70,69,114,114,111,114, 114,43,0,0,0,41,6,114,42,0,0,0,114,141,0,0, 0,218,11,101,120,99,95,100,101,116,97,105,108,115,90,5, - 109,97,103,105,99,114,117,0,0,0,114,17,0,0,0,32, - 32,32,32,32,32,114,7,0,0,0,218,13,95,99,108,97, + 109,97,103,105,99,114,117,0,0,0,114,17,0,0,0,63, + 63,63,63,63,63,114,7,0,0,0,218,13,95,99,108,97, 115,115,105,102,121,95,112,121,99,77,2,0,0,115,28,0, 0,0,12,16,8,1,16,1,12,1,16,1,12,1,10,1, 12,1,8,1,16,1,8,2,16,1,16,1,4,1,114,9, @@ -833,7 +833,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 142,0,0,0,41,6,114,42,0,0,0,218,12,115,111,117, 114,99,101,95,109,116,105,109,101,218,11,115,111,117,114,99, 101,95,115,105,122,101,114,141,0,0,0,114,174,0,0,0, - 114,117,0,0,0,32,32,32,32,32,32,114,7,0,0,0, + 114,117,0,0,0,63,63,63,63,63,63,114,7,0,0,0, 218,23,95,118,97,108,105,100,97,116,101,95,116,105,109,101, 115,116,97,109,112,95,112,121,99,110,2,0,0,115,18,0, 0,0,24,19,10,1,12,1,16,1,8,1,22,1,2,255, @@ -879,7 +879,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 32,109,97,116,99,104,32,104,97,115,104,32,111,102,32,115, 111,117,114,99,101,32,78,41,1,114,142,0,0,0,41,4, 114,42,0,0,0,218,11,115,111,117,114,99,101,95,104,97, - 115,104,114,141,0,0,0,114,174,0,0,0,32,32,32,32, + 115,104,114,141,0,0,0,114,174,0,0,0,63,63,63,63, 114,7,0,0,0,218,18,95,118,97,108,105,100,97,116,101, 95,104,97,115,104,95,112,121,99,138,2,0,0,115,14,0, 0,0,16,17,2,1,8,1,4,255,2,2,6,254,4,255, @@ -903,7 +903,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 95,102,105,120,95,99,111,95,102,105,108,101,110,97,109,101, 114,142,0,0,0,114,89,0,0,0,41,5,114,42,0,0, 0,114,141,0,0,0,114,132,0,0,0,114,134,0,0,0, - 218,4,99,111,100,101,32,32,32,32,32,114,7,0,0,0, + 218,4,99,111,100,101,63,63,63,63,63,114,7,0,0,0, 218,17,95,99,111,109,112,105,108,101,95,98,121,116,101,99, 111,100,101,162,2,0,0,115,18,0,0,0,10,2,10,1, 12,1,8,1,12,1,4,1,10,2,4,1,6,255,114,9, @@ -921,7 +921,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 6,101,120,116,101,110,100,114,37,0,0,0,114,183,0,0, 0,218,5,100,117,109,112,115,41,4,114,187,0,0,0,218, 5,109,116,105,109,101,114,178,0,0,0,114,42,0,0,0, - 32,32,32,32,114,7,0,0,0,218,22,95,99,111,100,101, + 63,63,63,63,114,7,0,0,0,218,22,95,99,111,100,101, 95,116,111,95,116,105,109,101,115,116,97,109,112,95,112,121, 99,175,2,0,0,115,12,0,0,0,8,2,14,1,14,1, 14,1,16,1,4,1,114,9,0,0,0,114,193,0,0,0, @@ -939,7 +939,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 0,114,37,0,0,0,114,4,0,0,0,114,183,0,0,0, 114,191,0,0,0,41,5,114,187,0,0,0,114,180,0,0, 0,90,7,99,104,101,99,107,101,100,114,42,0,0,0,114, - 17,0,0,0,32,32,32,32,32,114,7,0,0,0,218,17, + 17,0,0,0,63,63,63,63,63,114,7,0,0,0,218,17, 95,99,111,100,101,95,116,111,95,104,97,115,104,95,112,121, 99,185,2,0,0,115,14,0,0,0,8,2,12,1,14,1, 16,1,10,1,16,1,4,1,114,9,0,0,0,114,194,0, @@ -966,8 +966,8 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 95,98,121,116,101,115,114,195,0,0,0,90,21,115,111,117, 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, - 119,108,105,110,101,95,100,101,99,111,100,101,114,32,32,32, - 32,32,114,7,0,0,0,218,13,100,101,99,111,100,101,95, + 119,108,105,110,101,95,100,101,99,111,100,101,114,63,63,63, + 63,63,114,7,0,0,0,218,13,100,101,99,111,100,101,95, 115,111,117,114,99,101,196,2,0,0,115,10,0,0,0,8, 5,12,1,10,1,12,1,20,1,114,9,0,0,0,114,199, 0,0,0,169,2,114,163,0,0,0,218,26,115,117,98,109, @@ -1031,7 +1031,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 110,114,163,0,0,0,114,201,0,0,0,218,4,115,112,101, 99,218,12,108,111,97,100,101,114,95,99,108,97,115,115,218, 8,115,117,102,102,105,120,101,115,114,205,0,0,0,90,7, - 100,105,114,110,97,109,101,32,32,32,32,32,32,32,32,32, + 100,105,114,110,97,109,101,63,63,63,63,63,63,63,63,63, 114,7,0,0,0,218,23,115,112,101,99,95,102,114,111,109, 95,102,105,108,101,95,108,111,99,97,116,105,111,110,213,2, 0,0,115,96,0,0,0,8,12,4,4,10,1,2,2,12, @@ -1074,7 +1074,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 112,101,110,75,101,121,90,17,72,75,69,89,95,67,85,82, 82,69,78,84,95,85,83,69,82,114,76,0,0,0,90,18, 72,75,69,89,95,76,79,67,65,76,95,77,65,67,72,73, - 78,69,114,20,0,0,0,32,114,7,0,0,0,218,14,95, + 78,69,114,20,0,0,0,63,114,7,0,0,0,218,14,95, 111,112,101,110,95,114,101,103,105,115,116,114,121,42,3,0, 0,115,14,0,0,0,2,2,14,1,2,128,12,1,18,1, 2,128,2,255,115,12,0,0,0,129,6,8,0,136,14,24, @@ -1102,7 +1102,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 97,108,117,101,114,76,0,0,0,41,6,218,3,99,108,115, 114,162,0,0,0,90,12,114,101,103,105,115,116,114,121,95, 107,101,121,114,21,0,0,0,90,4,104,107,101,121,218,8, - 102,105,108,101,112,97,116,104,32,32,32,32,32,32,114,7, + 102,105,108,101,112,97,116,104,63,63,63,63,63,63,114,7, 0,0,0,218,16,95,115,101,97,114,99,104,95,114,101,103, 105,115,116,114,121,49,3,0,0,115,34,0,0,0,6,2, 8,1,6,2,6,1,16,1,6,255,2,2,12,1,12,1, @@ -1128,7 +1128,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 109,95,108,111,97,100,101,114,41,8,114,220,0,0,0,114, 162,0,0,0,114,65,0,0,0,218,6,116,97,114,103,101, 116,114,221,0,0,0,114,163,0,0,0,114,211,0,0,0, - 114,209,0,0,0,32,32,32,32,32,32,32,32,114,7,0, + 114,209,0,0,0,63,63,63,63,63,63,63,63,114,7,0, 0,0,218,9,102,105,110,100,95,115,112,101,99,64,3,0, 0,115,38,0,0,0,10,2,8,1,4,1,2,1,10,1, 2,128,12,1,6,1,2,128,14,1,14,1,6,1,8,1, @@ -1157,7 +1157,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 97,100,78,169,5,114,99,0,0,0,114,100,0,0,0,114, 101,0,0,0,114,225,0,0,0,114,163,0,0,0,169,4, 114,220,0,0,0,114,162,0,0,0,114,65,0,0,0,114, - 209,0,0,0,32,32,32,32,114,7,0,0,0,218,11,102, + 209,0,0,0,63,63,63,63,114,7,0,0,0,218,11,102, 105,110,100,95,109,111,100,117,108,101,80,3,0,0,115,14, 0,0,0,6,7,2,2,4,254,12,3,8,1,6,1,4, 2,114,9,0,0,0,122,33,87,105,110,100,111,119,115,82, @@ -1206,7 +1206,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 0,0,114,104,0,0,0,41,5,114,143,0,0,0,114,162, 0,0,0,114,120,0,0,0,90,13,102,105,108,101,110,97, 109,101,95,98,97,115,101,90,9,116,97,105,108,95,110,97, - 109,101,32,32,32,32,32,114,7,0,0,0,114,205,0,0, + 109,101,63,63,63,63,63,114,7,0,0,0,114,205,0,0, 0,102,3,0,0,115,8,0,0,0,18,3,16,1,14,1, 16,1,114,9,0,0,0,122,24,95,76,111,97,100,101,114, 66,97,115,105,99,115,46,105,115,95,112,97,99,107,97,103, @@ -1215,7 +1215,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 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, 99,114,101,97,116,105,111,110,46,78,114,12,0,0,0,169, - 2,114,143,0,0,0,114,209,0,0,0,32,32,114,7,0, + 2,114,143,0,0,0,114,209,0,0,0,63,63,114,7,0, 0,0,218,13,99,114,101,97,116,101,95,109,111,100,117,108, 101,110,3,0,0,243,2,0,0,0,4,0,114,9,0,0, 0,122,27,95,76,111,97,100,101,114,66,97,115,105,99,115, @@ -1235,7 +1235,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 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, 155,0,0,0,41,3,114,143,0,0,0,218,6,109,111,100, - 117,108,101,114,187,0,0,0,32,32,32,114,7,0,0,0, + 117,108,101,114,187,0,0,0,63,63,63,114,7,0,0,0, 218,11,101,120,101,99,95,109,111,100,117,108,101,113,3,0, 0,115,12,0,0,0,12,2,8,1,4,1,8,1,4,255, 20,2,114,9,0,0,0,122,25,95,76,111,97,100,101,114, @@ -1246,7 +1246,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 32,109,101,116,104,111,100,32,105,115,32,100,101,112,114,101, 99,97,116,101,100,46,78,41,2,114,158,0,0,0,218,17, 95,108,111,97,100,95,109,111,100,117,108,101,95,115,104,105, - 109,169,2,114,143,0,0,0,114,162,0,0,0,32,32,114, + 109,169,2,114,143,0,0,0,114,162,0,0,0,63,63,114, 7,0,0,0,218,11,108,111,97,100,95,109,111,100,117,108, 101,121,3,0,0,115,2,0,0,0,12,3,114,9,0,0, 0,122,25,95,76,111,97,100,101,114,66,97,115,105,99,115, @@ -1277,7 +1277,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 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, 78,41,1,114,76,0,0,0,169,2,114,143,0,0,0,114, - 65,0,0,0,32,32,114,7,0,0,0,218,10,112,97,116, + 65,0,0,0,63,63,114,7,0,0,0,218,10,112,97,116, 104,95,109,116,105,109,101,129,3,0,0,115,2,0,0,0, 4,6,114,9,0,0,0,122,23,83,111,117,114,99,101,76, 111,97,100,101,114,46,112,97,116,104,95,109,116,105,109,101, @@ -1310,8 +1310,8 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 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, 108,101,100,46,10,32,32,32,32,32,32,32,32,114,192,0, - 0,0,78,41,1,114,250,0,0,0,114,249,0,0,0,32, - 32,114,7,0,0,0,218,10,112,97,116,104,95,115,116,97, + 0,0,78,41,1,114,250,0,0,0,114,249,0,0,0,63, + 63,114,7,0,0,0,218,10,112,97,116,104,95,115,116,97, 116,115,137,3,0,0,115,2,0,0,0,14,12,114,9,0, 0,0,122,23,83,111,117,114,99,101,76,111,97,100,101,114, 46,112,97,116,104,95,115,116,97,116,115,99,4,0,0,0, @@ -1334,7 +1334,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 10,32,32,32,32,32,32,32,32,78,41,1,218,8,115,101, 116,95,100,97,116,97,41,4,114,143,0,0,0,114,134,0, 0,0,90,10,99,97,99,104,101,95,112,97,116,104,114,42, - 0,0,0,32,32,32,32,114,7,0,0,0,218,15,95,99, + 0,0,0,63,63,63,63,114,7,0,0,0,218,15,95,99, 97,99,104,101,95,98,121,116,101,99,111,100,101,151,3,0, 0,115,2,0,0,0,12,8,114,9,0,0,0,122,28,83, 111,117,114,99,101,76,111,97,100,101,114,46,95,99,97,99, @@ -1351,7 +1351,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 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, 114,12,0,0,0,41,3,114,143,0,0,0,114,65,0,0, - 0,114,42,0,0,0,32,32,32,114,7,0,0,0,114,252, + 0,114,42,0,0,0,63,63,63,114,7,0,0,0,114,252, 0,0,0,161,3,0,0,114,239,0,0,0,114,9,0,0, 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, @@ -1370,7 +1370,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 5,114,202,0,0,0,218,8,103,101,116,95,100,97,116,97, 114,76,0,0,0,114,142,0,0,0,114,199,0,0,0,41, 5,114,143,0,0,0,114,162,0,0,0,114,65,0,0,0, - 114,197,0,0,0,218,3,101,120,99,32,32,32,32,32,114, + 114,197,0,0,0,218,3,101,120,99,63,63,63,63,63,114, 7,0,0,0,218,10,103,101,116,95,115,111,117,114,99,101, 168,3,0,0,115,26,0,0,0,10,2,2,1,10,1,8, 4,2,128,12,253,4,1,2,1,4,255,2,1,2,255,10, @@ -1394,7 +1394,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 114,105,116,114,108,0,0,0,78,41,3,114,158,0,0,0, 114,241,0,0,0,218,7,99,111,109,112,105,108,101,41,4, 114,143,0,0,0,114,42,0,0,0,114,65,0,0,0,114, - 1,1,0,0,32,32,32,32,114,7,0,0,0,218,14,115, + 1,1,0,0,63,63,63,63,114,7,0,0,0,218,14,115, 111,117,114,99,101,95,116,111,95,99,111,100,101,178,3,0, 0,115,6,0,0,0,12,5,4,1,6,255,114,9,0,0, 0,122,27,83,111,117,114,99,101,76,111,97,100,101,114,46, @@ -1471,8 +1471,8 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 104,101,99,107,95,115,111,117,114,99,101,114,132,0,0,0, 218,2,115,116,114,42,0,0,0,114,174,0,0,0,114,17, 0,0,0,90,10,98,121,116,101,115,95,100,97,116,97,90, - 11,99,111,100,101,95,111,98,106,101,99,116,32,32,32,32, - 32,32,32,32,32,32,32,32,32,32,32,114,7,0,0,0, + 11,99,111,100,101,95,111,98,106,101,99,116,63,63,63,63, + 63,63,63,63,63,63,63,63,63,63,63,114,7,0,0,0, 114,240,0,0,0,186,3,0,0,115,188,0,0,0,10,7, 4,1,4,1,4,1,4,1,4,1,2,1,10,1,2,128, 14,1,8,1,2,128,2,2,12,1,2,128,14,1,4,1, @@ -1522,7 +1522,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 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, 101,114,46,78,114,182,0,0,0,41,3,114,143,0,0,0, - 114,162,0,0,0,114,65,0,0,0,32,32,32,114,7,0, + 114,162,0,0,0,114,65,0,0,0,63,63,63,114,7,0, 0,0,114,235,0,0,0,20,4,0,0,115,4,0,0,0, 6,3,10,1,114,9,0,0,0,122,19,70,105,108,101,76, 111,97,100,101,114,46,95,95,105,110,105,116,95,95,99,2, @@ -1531,7 +1531,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 107,2,111,11,124,0,106,1,124,1,106,1,107,2,83,0, 114,69,0,0,0,169,2,218,9,95,95,99,108,97,115,115, 95,95,114,155,0,0,0,169,2,114,143,0,0,0,90,5, - 111,116,104,101,114,32,32,114,7,0,0,0,218,6,95,95, + 111,116,104,101,114,63,63,114,7,0,0,0,218,6,95,95, 101,113,95,95,26,4,0,0,243,6,0,0,0,12,1,10, 1,2,255,114,9,0,0,0,122,17,70,105,108,101,76,111, 97,100,101,114,46,95,95,101,113,95,95,99,1,0,0,0, @@ -1539,7 +1539,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 243,20,0,0,0,116,0,124,0,106,1,131,1,116,0,124, 0,106,2,131,1,65,0,83,0,114,69,0,0,0,169,3, 218,4,104,97,115,104,114,141,0,0,0,114,65,0,0,0, - 169,1,114,143,0,0,0,32,114,7,0,0,0,218,8,95, + 169,1,114,143,0,0,0,63,114,7,0,0,0,218,8,95, 95,104,97,115,104,95,95,30,4,0,0,243,2,0,0,0, 20,1,114,9,0,0,0,122,19,70,105,108,101,76,111,97, 100,101,114,46,95,95,104,97,115,104,95,95,99,2,0,0, @@ -1554,7 +1554,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 101,97,100,46,10,10,32,32,32,32,32,32,32,32,78,41, 3,218,5,115,117,112,101,114,114,10,1,0,0,114,247,0, 0,0,41,3,114,143,0,0,0,114,162,0,0,0,114,13, - 1,0,0,32,32,128,114,7,0,0,0,114,247,0,0,0, + 1,0,0,63,63,128,114,7,0,0,0,114,247,0,0,0, 33,4,0,0,115,2,0,0,0,16,10,114,9,0,0,0, 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, @@ -1564,7 +1564,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 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, 105,110,100,101,114,46,78,114,74,0,0,0,114,246,0,0, - 0,32,32,114,7,0,0,0,114,202,0,0,0,45,4,0, + 0,63,63,114,7,0,0,0,114,202,0,0,0,45,4,0, 0,243,2,0,0,0,6,3,114,9,0,0,0,122,23,70, 105,108,101,76,111,97,100,101,114,46,103,101,116,95,102,105, 108,101,110,97,109,101,99,2,0,0,0,0,0,0,0,0, @@ -1585,7 +1585,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 108,101,76,111,97,100,101,114,114,91,0,0,0,90,9,111, 112,101,110,95,99,111,100,101,114,109,0,0,0,90,4,114, 101,97,100,114,92,0,0,0,41,3,114,143,0,0,0,114, - 65,0,0,0,114,94,0,0,0,32,32,32,114,7,0,0, + 65,0,0,0,114,94,0,0,0,63,63,63,114,7,0,0, 0,114,254,0,0,0,50,4,0,0,115,22,0,0,0,14, 2,16,1,6,1,14,255,22,128,4,0,14,3,6,1,14, 255,22,128,4,0,115,24,0,0,0,142,4,25,3,153,4, @@ -1598,7 +1598,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 10,70,105,108,101,82,101,97,100,101,114,41,2,218,17,105, 109,112,111,114,116,108,105,98,46,114,101,97,100,101,114,115, 114,29,1,0,0,41,3,114,143,0,0,0,114,243,0,0, - 0,114,29,1,0,0,32,32,32,114,7,0,0,0,218,19, + 0,114,29,1,0,0,63,63,63,114,7,0,0,0,218,19, 103,101,116,95,114,101,115,111,117,114,99,101,95,114,101,97, 100,101,114,59,4,0,0,115,4,0,0,0,12,2,8,1, 114,9,0,0,0,122,30,70,105,108,101,76,111,97,100,101, @@ -1630,7 +1630,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 41,2,114,192,0,0,0,114,5,1,0,0,78,41,3,114, 75,0,0,0,218,8,115,116,95,109,116,105,109,101,90,7, 115,116,95,115,105,122,101,41,3,114,143,0,0,0,114,65, - 0,0,0,114,9,1,0,0,32,32,32,114,7,0,0,0, + 0,0,0,114,9,1,0,0,63,63,63,114,7,0,0,0, 114,251,0,0,0,69,4,0,0,115,4,0,0,0,8,2, 14,1,114,9,0,0,0,122,27,83,111,117,114,99,101,70, 105,108,101,76,111,97,100,101,114,46,112,97,116,104,95,115, @@ -1640,7 +1640,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 100,1,166,3,83,0,41,2,78,169,1,218,5,95,109,111, 100,101,41,2,114,139,0,0,0,114,252,0,0,0,41,5, 114,143,0,0,0,114,134,0,0,0,114,132,0,0,0,114, - 42,0,0,0,114,78,0,0,0,32,32,32,32,32,114,7, + 42,0,0,0,114,78,0,0,0,63,63,63,63,63,114,7, 0,0,0,114,253,0,0,0,74,4,0,0,115,4,0,0, 0,8,2,16,1,114,9,0,0,0,122,32,83,111,117,114, 99,101,70,105,108,101,76,111,97,100,101,114,46,95,99,97, @@ -1675,8 +1675,8 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 0,114,95,0,0,0,41,9,114,143,0,0,0,114,65,0, 0,0,114,42,0,0,0,114,35,1,0,0,218,6,112,97, 114,101,110,116,114,120,0,0,0,114,63,0,0,0,114,68, - 0,0,0,114,255,0,0,0,32,32,32,32,32,32,32,32, - 32,114,7,0,0,0,114,252,0,0,0,79,4,0,0,115, + 0,0,0,114,255,0,0,0,63,63,63,63,63,63,63,63, + 63,114,7,0,0,0,114,252,0,0,0,79,4,0,0,115, 60,0,0,0,12,2,4,1,12,2,12,1,10,1,12,254, 12,4,10,1,2,1,12,1,2,128,12,1,4,2,12,1, 6,3,4,1,4,255,14,2,10,128,2,1,12,1,16,1, @@ -1710,8 +1710,8 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 0,0,0,114,132,0,0,0,41,5,114,202,0,0,0,114, 254,0,0,0,114,175,0,0,0,114,188,0,0,0,114,6, 1,0,0,41,5,114,143,0,0,0,114,162,0,0,0,114, - 65,0,0,0,114,42,0,0,0,114,174,0,0,0,32,32, - 32,32,32,114,7,0,0,0,114,240,0,0,0,114,4,0, + 65,0,0,0,114,42,0,0,0,114,174,0,0,0,63,63, + 63,63,63,114,7,0,0,0,114,240,0,0,0,114,4,0, 0,115,22,0,0,0,10,1,10,1,2,4,2,1,6,254, 12,4,2,1,14,1,2,1,2,1,6,253,114,9,0,0, 0,122,29,83,111,117,114,99,101,108,101,115,115,70,105,108, @@ -1721,7 +1721,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 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, 99,111,100,101,46,78,114,12,0,0,0,114,246,0,0,0, - 32,32,114,7,0,0,0,114,0,1,0,0,130,4,0,0, + 63,63,114,7,0,0,0,114,0,1,0,0,130,4,0,0, 114,25,0,0,0,114,9,0,0,0,122,31,83,111,117,114, 99,101,108,101,115,115,70,105,108,101,76,111,97,100,101,114, 46,103,101,116,95,115,111,117,114,99,101,78,41,6,114,149, @@ -1747,19 +1747,19 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 0,0,0,3,0,0,0,115,16,0,0,0,124,1,124,0, 95,0,124,2,124,0,95,1,100,0,83,0,114,69,0,0, 0,114,182,0,0,0,41,3,114,143,0,0,0,114,141,0, - 0,0,114,65,0,0,0,32,32,32,114,7,0,0,0,114, + 0,0,114,65,0,0,0,63,63,63,114,7,0,0,0,114, 235,0,0,0,143,4,0,0,115,4,0,0,0,6,1,10, 1,114,9,0,0,0,122,28,69,120,116,101,110,115,105,111, 110,70,105,108,101,76,111,97,100,101,114,46,95,95,105,110, 105,116,95,95,99,2,0,0,0,0,0,0,0,0,0,0, 0,2,0,0,0,3,0,0,0,114,11,1,0,0,114,69, - 0,0,0,114,12,1,0,0,114,14,1,0,0,32,32,114, + 0,0,0,114,12,1,0,0,114,14,1,0,0,63,63,114, 7,0,0,0,114,15,1,0,0,147,4,0,0,114,16,1, 0,0,114,9,0,0,0,122,26,69,120,116,101,110,115,105, 111,110,70,105,108,101,76,111,97,100,101,114,46,95,95,101, 113,95,95,99,1,0,0,0,0,0,0,0,0,0,0,0, 3,0,0,0,3,0,0,0,114,17,1,0,0,114,69,0, - 0,0,114,18,1,0,0,114,20,1,0,0,32,114,7,0, + 0,0,114,18,1,0,0,114,20,1,0,0,63,114,7,0, 0,0,114,21,1,0,0,151,4,0,0,114,22,1,0,0, 114,9,0,0,0,122,28,69,120,116,101,110,115,105,111,110, 70,105,108,101,76,111,97,100,101,114,46,95,95,104,97,115, @@ -1776,7 +1776,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 114,186,0,0,0,90,14,99,114,101,97,116,101,95,100,121, 110,97,109,105,99,114,172,0,0,0,114,141,0,0,0,114, 65,0,0,0,41,3,114,143,0,0,0,114,209,0,0,0, - 114,243,0,0,0,32,32,32,114,7,0,0,0,114,238,0, + 114,243,0,0,0,63,63,63,114,7,0,0,0,114,238,0, 0,0,154,4,0,0,115,14,0,0,0,4,2,6,1,4, 255,6,2,8,1,4,255,4,2,114,9,0,0,0,122,33, 69,120,116,101,110,115,105,111,110,70,105,108,101,76,111,97, @@ -1793,7 +1793,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 0,0,0,114,241,0,0,0,114,186,0,0,0,90,12,101, 120,101,99,95,100,121,110,97,109,105,99,114,172,0,0,0, 114,141,0,0,0,114,65,0,0,0,169,2,114,143,0,0, - 0,114,243,0,0,0,32,32,114,7,0,0,0,114,244,0, + 0,114,243,0,0,0,63,63,114,7,0,0,0,114,244,0, 0,0,162,4,0,0,115,8,0,0,0,14,2,6,1,8, 1,8,255,114,9,0,0,0,122,31,69,120,116,101,110,115, 105,111,110,70,105,108,101,76,111,97,100,101,114,46,101,120, @@ -1810,7 +1810,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 9,125,1,136,0,100,0,124,1,23,0,107,2,86,0,1, 0,113,2,100,1,83,0,41,2,114,235,0,0,0,78,114, 12,0,0,0,41,3,114,5,0,0,0,218,6,115,117,102, - 102,105,120,218,9,102,105,108,101,95,110,97,109,101,32,32, + 102,105,120,218,9,102,105,108,101,95,110,97,109,101,63,63, 128,114,7,0,0,0,114,8,0,0,0,171,4,0,0,115, 6,0,0,0,6,128,2,1,20,255,114,9,0,0,0,122, 49,69,120,116,101,110,115,105,111,110,70,105,108,101,76,111, @@ -1818,7 +1818,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 60,108,111,99,97,108,115,62,46,60,103,101,110,101,120,112, 114,62,78,41,4,114,73,0,0,0,114,65,0,0,0,218, 3,97,110,121,114,231,0,0,0,41,3,114,143,0,0,0, - 114,162,0,0,0,114,42,1,0,0,32,32,64,114,7,0, + 114,162,0,0,0,114,42,1,0,0,63,63,64,114,7,0, 0,0,114,205,0,0,0,168,4,0,0,115,8,0,0,0, 14,2,12,1,2,1,8,255,114,9,0,0,0,122,30,69, 120,116,101,110,115,105,111,110,70,105,108,101,76,111,97,100, @@ -1829,7 +1829,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 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, 100,101,32,111,98,106,101,99,116,46,78,114,12,0,0,0, - 114,246,0,0,0,32,32,114,7,0,0,0,114,240,0,0, + 114,246,0,0,0,63,63,114,7,0,0,0,114,240,0,0, 0,174,4,0,0,114,25,0,0,0,114,9,0,0,0,122, 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, @@ -1838,13 +1838,13 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 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, - 78,114,12,0,0,0,114,246,0,0,0,32,32,114,7,0, + 78,114,12,0,0,0,114,246,0,0,0,63,63,114,7,0, 0,0,114,0,1,0,0,178,4,0,0,114,25,0,0,0, 114,9,0,0,0,122,30,69,120,116,101,110,115,105,111,110, 70,105,108,101,76,111,97,100,101,114,46,103,101,116,95,115, 111,117,114,99,101,99,2,0,0,0,0,0,0,0,0,0, 0,0,1,0,0,0,3,0,0,0,114,24,1,0,0,114, - 25,1,0,0,114,74,0,0,0,114,246,0,0,0,32,32, + 25,1,0,0,114,74,0,0,0,114,246,0,0,0,63,63, 114,7,0,0,0,114,202,0,0,0,182,4,0,0,114,26, 1,0,0,114,9,0,0,0,122,32,69,120,116,101,110,115, 105,111,110,70,105,108,101,76,111,97,100,101,114,46,103,101, @@ -1895,7 +1895,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 114,101,110,116,95,112,97,116,104,218,12,95,112,97,116,104, 95,102,105,110,100,101,114,169,4,114,143,0,0,0,114,141, 0,0,0,114,65,0,0,0,90,11,112,97,116,104,95,102, - 105,110,100,101,114,32,32,32,32,114,7,0,0,0,114,235, + 105,110,100,101,114,63,63,63,63,114,7,0,0,0,114,235, 0,0,0,195,4,0,0,115,8,0,0,0,6,1,6,1, 14,1,10,1,114,9,0,0,0,122,23,95,78,97,109,101, 115,112,97,99,101,80,97,116,104,46,95,95,105,110,105,116, @@ -1911,7 +1911,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 114,16,0,0,0,114,65,0,0,0,90,8,95,95,112,97, 116,104,95,95,78,41,2,114,45,1,0,0,114,104,0,0, 0,41,4,114,143,0,0,0,114,38,1,0,0,218,3,100, - 111,116,90,2,109,101,32,32,32,32,114,7,0,0,0,218, + 111,116,90,2,109,101,63,63,63,63,114,7,0,0,0,218, 23,95,102,105,110,100,95,112,97,114,101,110,116,95,112,97, 116,104,95,110,97,109,101,115,201,4,0,0,115,8,0,0, 0,18,2,8,1,4,2,8,3,114,9,0,0,0,122,38, @@ -1925,7 +1925,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 0,0,218,7,109,111,100,117,108,101,115,41,3,114,143,0, 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, - 114,95,110,97,109,101,32,32,32,114,7,0,0,0,114,47, + 114,95,110,97,109,101,63,63,63,114,7,0,0,0,114,47, 1,0,0,211,4,0,0,115,4,0,0,0,12,1,16,1, 114,9,0,0,0,122,31,95,78,97,109,101,115,112,97,99, 101,80,97,116,104,46,95,103,101,116,95,112,97,114,101,110, @@ -1940,7 +1940,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 0,114,48,1,0,0,114,49,1,0,0,114,45,1,0,0, 114,163,0,0,0,114,201,0,0,0,114,46,1,0,0,41, 3,114,143,0,0,0,90,11,112,97,114,101,110,116,95,112, - 97,116,104,114,209,0,0,0,32,32,32,114,7,0,0,0, + 97,116,104,114,209,0,0,0,63,63,63,114,7,0,0,0, 218,12,95,114,101,99,97,108,99,117,108,97,116,101,215,4, 0,0,115,16,0,0,0,12,2,10,1,14,1,18,3,6, 1,8,1,6,1,6,1,114,9,0,0,0,122,27,95,78, @@ -1949,15 +1949,15 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 0,0,0,0,0,0,3,0,0,0,3,0,0,0,243,12, 0,0,0,116,0,124,0,160,1,161,0,131,1,83,0,114, 69,0,0,0,41,2,218,4,105,116,101,114,114,54,1,0, - 0,114,20,1,0,0,32,114,7,0,0,0,218,8,95,95, + 0,114,20,1,0,0,63,114,7,0,0,0,218,8,95,95, 105,116,101,114,95,95,228,4,0,0,243,2,0,0,0,12, 1,114,9,0,0,0,122,23,95,78,97,109,101,115,112,97, 99,101,80,97,116,104,46,95,95,105,116,101,114,95,95,99, 2,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0, 3,0,0,0,115,12,0,0,0,124,0,160,0,161,0,124, 1,25,0,83,0,114,69,0,0,0,169,1,114,54,1,0, - 0,41,2,114,143,0,0,0,218,5,105,110,100,101,120,32, - 32,114,7,0,0,0,218,11,95,95,103,101,116,105,116,101, + 0,41,2,114,143,0,0,0,218,5,105,110,100,101,120,63, + 63,114,7,0,0,0,218,11,95,95,103,101,116,105,116,101, 109,95,95,231,4,0,0,114,58,1,0,0,114,9,0,0, 0,122,26,95,78,97,109,101,115,112,97,99,101,80,97,116, 104,46,95,95,103,101,116,105,116,101,109,95,95,99,3,0, @@ -1965,14 +1965,14 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 0,0,115,14,0,0,0,124,2,124,0,106,0,124,1,60, 0,100,0,83,0,114,69,0,0,0,41,1,114,46,1,0, 0,41,3,114,143,0,0,0,114,60,1,0,0,114,65,0, - 0,0,32,32,32,114,7,0,0,0,218,11,95,95,115,101, + 0,0,63,63,63,114,7,0,0,0,218,11,95,95,115,101, 116,105,116,101,109,95,95,234,4,0,0,115,2,0,0,0, 14,1,114,9,0,0,0,122,26,95,78,97,109,101,115,112, 97,99,101,80,97,116,104,46,95,95,115,101,116,105,116,101, 109,95,95,99,1,0,0,0,0,0,0,0,0,0,0,0, 3,0,0,0,3,0,0,0,114,55,1,0,0,114,69,0, 0,0,41,2,114,4,0,0,0,114,54,1,0,0,114,20, - 1,0,0,32,114,7,0,0,0,218,7,95,95,108,101,110, + 1,0,0,63,114,7,0,0,0,218,7,95,95,108,101,110, 95,95,237,4,0,0,114,58,1,0,0,114,9,0,0,0, 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, @@ -1980,14 +1980,14 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 0,0,100,1,160,0,124,0,106,1,161,1,83,0,41,2, 78,122,20,95,78,97,109,101,115,112,97,99,101,80,97,116, 104,40,123,33,114,125,41,41,2,114,89,0,0,0,114,46, - 1,0,0,114,20,1,0,0,32,114,7,0,0,0,218,8, + 1,0,0,114,20,1,0,0,63,114,7,0,0,0,218,8, 95,95,114,101,112,114,95,95,240,4,0,0,114,58,1,0, 0,114,9,0,0,0,122,23,95,78,97,109,101,115,112,97, 99,101,80,97,116,104,46,95,95,114,101,112,114,95,95,99, 2,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0, 3,0,0,0,115,12,0,0,0,124,1,124,0,160,0,161, 0,118,0,83,0,114,69,0,0,0,114,59,1,0,0,169, - 2,114,143,0,0,0,218,4,105,116,101,109,32,32,114,7, + 2,114,143,0,0,0,218,4,105,116,101,109,63,63,114,7, 0,0,0,218,12,95,95,99,111,110,116,97,105,110,115,95, 95,243,4,0,0,114,58,1,0,0,114,9,0,0,0,122, 27,95,78,97,109,101,115,112,97,99,101,80,97,116,104,46, @@ -1995,7 +1995,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 0,0,0,0,0,0,0,0,0,3,0,0,0,3,0,0, 0,115,16,0,0,0,124,0,106,0,160,1,124,1,161,1, 1,0,100,0,83,0,114,69,0,0,0,41,2,114,46,1, - 0,0,114,61,0,0,0,114,66,1,0,0,32,32,114,7, + 0,0,114,61,0,0,0,114,66,1,0,0,63,63,114,7, 0,0,0,114,61,0,0,0,246,4,0,0,243,2,0,0, 0,16,1,114,9,0,0,0,122,21,95,78,97,109,101,115, 112,97,99,101,80,97,116,104,46,97,112,112,101,110,100,78, @@ -2020,7 +2020,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 3,0,0,0,115,18,0,0,0,116,0,124,1,124,2,124, 3,131,3,124,0,95,1,100,0,83,0,114,69,0,0,0, 41,2,114,44,1,0,0,114,46,1,0,0,114,50,1,0, - 0,32,32,32,32,114,7,0,0,0,114,235,0,0,0,252, + 0,63,63,63,63,114,7,0,0,0,114,235,0,0,0,252, 4,0,0,115,2,0,0,0,18,1,114,9,0,0,0,122, 25,95,78,97,109,101,115,112,97,99,101,76,111,97,100,101, 114,46,95,95,105,110,105,116,95,95,99,1,0,0,0,0, @@ -2043,20 +2043,20 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 32,123,33,114,125,32,40,110,97,109,101,115,112,97,99,101, 41,62,78,41,5,114,99,0,0,0,114,100,0,0,0,114, 101,0,0,0,114,89,0,0,0,114,149,0,0,0,41,1, - 114,243,0,0,0,32,114,7,0,0,0,218,11,109,111,100, + 114,243,0,0,0,63,114,7,0,0,0,218,11,109,111,100, 117,108,101,95,114,101,112,114,255,4,0,0,115,8,0,0, 0,6,7,2,1,4,255,12,2,114,9,0,0,0,122,28, 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, 0,0,0,0,0,0,0,0,0,1,0,0,0,3,0,0, 0,114,24,0,0,0,41,2,78,84,114,12,0,0,0,114, - 246,0,0,0,32,32,114,7,0,0,0,114,205,0,0,0, + 246,0,0,0,63,63,114,7,0,0,0,114,205,0,0,0, 10,5,0,0,243,2,0,0,0,4,1,114,9,0,0,0, 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, 0,0,0,0,0,0,0,0,0,0,1,0,0,0,3,0, 0,0,114,24,0,0,0,41,2,78,114,10,0,0,0,114, - 12,0,0,0,114,246,0,0,0,32,32,114,7,0,0,0, + 12,0,0,0,114,246,0,0,0,63,63,114,7,0,0,0, 114,0,1,0,0,13,5,0,0,114,72,1,0,0,114,9, 0,0,0,122,27,95,78,97,109,101,115,112,97,99,101,76, 111,97,100,101,114,46,103,101,116,95,115,111,117,114,99,101, @@ -2065,19 +2065,19 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 100,3,100,4,100,5,141,4,83,0,41,6,78,114,10,0, 0,0,122,8,60,115,116,114,105,110,103,62,114,242,0,0, 0,84,41,1,114,2,1,0,0,41,1,114,3,1,0,0, - 114,246,0,0,0,32,32,114,7,0,0,0,114,240,0,0, + 114,246,0,0,0,63,63,114,7,0,0,0,114,240,0,0, 0,16,5,0,0,114,69,1,0,0,114,9,0,0,0,122, 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, 0,0,0,0,0,0,0,1,0,0,0,3,0,0,0,114, 24,0,0,0,114,236,0,0,0,114,12,0,0,0,114,237, - 0,0,0,32,32,114,7,0,0,0,114,238,0,0,0,19, + 0,0,0,63,63,114,7,0,0,0,114,238,0,0,0,19, 5,0,0,114,239,0,0,0,114,9,0,0,0,122,30,95, 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, 0,0,0,0,0,0,0,0,0,0,1,0,0,0,3,0, 0,0,115,4,0,0,0,100,0,83,0,114,69,0,0,0, - 114,12,0,0,0,114,40,1,0,0,32,32,114,7,0,0, + 114,12,0,0,0,114,40,1,0,0,63,63,114,7,0,0, 0,114,244,0,0,0,22,5,0,0,114,72,1,0,0,114, 9,0,0,0,122,28,95,78,97,109,101,115,112,97,99,101, 76,111,97,100,101,114,46,101,120,101,99,95,109,111,100,117, @@ -2095,7 +2095,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 111,97,100,101,100,32,119,105,116,104,32,112,97,116,104,32, 123,33,114,125,78,41,4,114,158,0,0,0,114,172,0,0, 0,114,46,1,0,0,114,245,0,0,0,114,246,0,0,0, - 32,32,114,7,0,0,0,114,247,0,0,0,25,5,0,0, + 63,63,114,7,0,0,0,114,247,0,0,0,25,5,0,0, 115,8,0,0,0,6,7,4,1,4,255,12,3,114,9,0, 0,0,122,28,95,78,97,109,101,115,112,97,99,101,76,111, 97,100,101,114,46,108,111,97,100,95,109,111,100,117,108,101, @@ -2105,7 +2105,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 41,3,78,114,0,0,0,0,41,1,218,15,78,97,109,101, 115,112,97,99,101,82,101,97,100,101,114,41,3,114,30,1, 0,0,114,73,1,0,0,114,46,1,0,0,41,3,114,143, - 0,0,0,114,243,0,0,0,114,73,1,0,0,32,32,32, + 0,0,0,114,243,0,0,0,114,73,1,0,0,63,63,63, 114,7,0,0,0,114,31,1,0,0,37,5,0,0,115,4, 0,0,0,12,1,10,1,114,9,0,0,0,122,36,95,78, 97,109,101,115,112,97,99,101,76,111,97,100,101,114,46,103, @@ -2150,7 +2150,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 105,115,116,114,16,0,0,0,218,19,112,97,116,104,95,105, 109,112,111,114,116,101,114,95,99,97,99,104,101,218,5,105, 116,101,109,115,114,152,0,0,0,114,75,1,0,0,41,2, - 114,141,0,0,0,218,6,102,105,110,100,101,114,32,32,114, + 114,141,0,0,0,218,6,102,105,110,100,101,114,63,63,114, 7,0,0,0,114,75,1,0,0,48,5,0,0,115,14,0, 0,0,22,4,8,1,10,1,10,1,8,1,2,128,4,252, 114,9,0,0,0,122,28,80,97,116,104,70,105,110,100,101, @@ -2169,7 +2169,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 115,32,101,109,112,116,121,41,6,114,16,0,0,0,218,10, 112,97,116,104,95,104,111,111,107,115,114,99,0,0,0,114, 100,0,0,0,114,161,0,0,0,114,142,0,0,0,41,2, - 114,65,0,0,0,90,4,104,111,111,107,32,32,114,7,0, + 114,65,0,0,0,90,4,104,111,111,107,63,63,114,7,0, 0,0,218,11,95,112,97,116,104,95,104,111,111,107,115,58, 5,0,0,115,22,0,0,0,16,3,12,1,10,1,2,1, 12,1,2,128,12,1,4,1,2,128,4,2,2,253,115,12, @@ -2201,8 +2201,8 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 0,218,17,70,105,108,101,78,111,116,70,111,117,110,100,69, 114,114,111,114,114,16,0,0,0,114,77,1,0,0,218,8, 75,101,121,69,114,114,111,114,114,81,1,0,0,41,3,114, - 220,0,0,0,114,65,0,0,0,114,79,1,0,0,32,32, - 32,114,7,0,0,0,218,20,95,112,97,116,104,95,105,109, + 220,0,0,0,114,65,0,0,0,114,79,1,0,0,63,63, + 63,114,7,0,0,0,218,20,95,112,97,116,104,95,105,109, 112,111,114,116,101,114,95,99,97,99,104,101,71,5,0,0, 115,36,0,0,0,8,8,2,1,10,1,2,128,12,1,6, 3,2,128,2,1,10,1,4,4,2,128,12,253,10,1,12, @@ -2234,7 +2234,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 228,0,0,0,114,223,0,0,0,114,206,0,0,0,114,201, 0,0,0,41,7,114,220,0,0,0,114,162,0,0,0,114, 79,1,0,0,114,165,0,0,0,114,163,0,0,0,114,164, - 0,0,0,114,209,0,0,0,32,32,32,32,32,32,32,114, + 0,0,0,114,209,0,0,0,63,63,63,63,63,63,63,114, 7,0,0,0,218,16,95,108,101,103,97,99,121,95,103,101, 116,95,115,112,101,99,93,5,0,0,115,26,0,0,0,10, 4,16,1,12,2,16,1,16,2,12,2,10,1,4,1,8, @@ -2266,8 +2266,8 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 9,114,220,0,0,0,114,162,0,0,0,114,65,0,0,0, 114,224,0,0,0,218,14,110,97,109,101,115,112,97,99,101, 95,112,97,116,104,90,5,101,110,116,114,121,114,79,1,0, - 0,114,209,0,0,0,114,164,0,0,0,32,32,32,32,32, - 32,32,32,32,114,7,0,0,0,218,9,95,103,101,116,95, + 0,114,209,0,0,0,114,164,0,0,0,63,63,63,63,63, + 63,63,63,63,114,7,0,0,0,218,9,95,103,101,116,95, 115,112,101,99,114,5,0,0,115,42,0,0,0,4,5,8, 1,14,1,2,1,10,1,8,1,10,1,14,1,12,2,8, 1,2,1,10,1,8,1,6,1,8,1,8,1,10,5,2, @@ -2294,7 +2294,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 0,0,114,201,0,0,0,114,204,0,0,0,114,44,1,0, 0,41,6,114,220,0,0,0,114,162,0,0,0,114,65,0, 0,0,114,224,0,0,0,114,209,0,0,0,114,87,1,0, - 0,32,32,32,32,32,32,114,7,0,0,0,114,225,0,0, + 0,63,63,63,63,63,63,114,7,0,0,0,114,225,0,0, 0,146,5,0,0,115,26,0,0,0,8,6,6,1,14,1, 8,1,4,1,10,1,6,1,4,1,6,3,16,1,4,1, 4,2,4,2,114,9,0,0,0,122,20,80,97,116,104,70, @@ -2321,7 +2321,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 32,105,110,32,80,121,116,104,111,110,32,51,46,49,50,59, 32,117,115,101,32,102,105,110,100,95,115,112,101,99,40,41, 32,105,110,115,116,101,97,100,78,114,226,0,0,0,114,227, - 0,0,0,32,32,32,32,114,7,0,0,0,114,228,0,0, + 0,0,0,63,63,63,63,114,7,0,0,0,114,228,0,0, 0,170,5,0,0,115,14,0,0,0,6,8,2,2,4,254, 12,3,8,1,4,1,6,1,114,9,0,0,0,122,22,80, 97,116,104,70,105,110,100,101,114,46,102,105,110,100,95,109, @@ -2352,8 +2352,8 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 90,18,105,109,112,111,114,116,108,105,98,46,109,101,116,97, 100,97,116,97,114,89,1,0,0,218,18,102,105,110,100,95, 100,105,115,116,114,105,98,117,116,105,111,110,115,41,3,114, - 144,0,0,0,114,145,0,0,0,114,89,1,0,0,32,32, - 32,114,7,0,0,0,114,90,1,0,0,186,5,0,0,115, + 144,0,0,0,114,145,0,0,0,114,89,1,0,0,63,63, + 63,114,7,0,0,0,114,90,1,0,0,186,5,0,0,115, 4,0,0,0,12,10,16,1,114,9,0,0,0,122,29,80, 97,116,104,70,105,110,100,101,114,46,102,105,110,100,95,100, 105,115,116,114,105,98,117,116,105,111,110,115,114,69,0,0, @@ -2408,7 +2408,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 0,115,24,0,0,0,129,0,124,0,93,7,125,1,124,1, 136,0,102,2,86,0,1,0,113,2,100,0,83,0,114,69, 0,0,0,114,12,0,0,0,41,3,114,5,0,0,0,114, - 41,1,0,0,114,163,0,0,0,32,32,128,114,7,0,0, + 41,1,0,0,114,163,0,0,0,63,63,128,114,7,0,0, 0,114,8,0,0,0,215,5,0,0,115,4,0,0,0,6, 128,18,0,114,9,0,0,0,122,38,70,105,108,101,70,105, 110,100,101,114,46,95,95,105,110,105,116,95,95,46,60,108, @@ -2422,7 +2422,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 97,116,104,95,99,97,99,104,101,41,6,114,143,0,0,0, 114,65,0,0,0,218,14,108,111,97,100,101,114,95,100,101, 116,97,105,108,115,90,7,108,111,97,100,101,114,115,114,211, - 0,0,0,114,163,0,0,0,32,32,32,32,32,64,114,7, + 0,0,0,114,163,0,0,0,63,63,63,63,63,64,114,7, 0,0,0,114,235,0,0,0,209,5,0,0,115,20,0,0, 0,4,4,12,1,26,1,6,1,10,2,10,1,18,1,6, 1,8,1,12,1,114,9,0,0,0,122,19,70,105,108,101, @@ -2432,7 +2432,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 2,83,0,41,3,122,31,73,110,118,97,108,105,100,97,116, 101,32,116,104,101,32,100,105,114,101,99,116,111,114,121,32, 109,116,105,109,101,46,114,130,0,0,0,78,41,1,114,93, - 1,0,0,114,20,1,0,0,32,114,7,0,0,0,114,75, + 1,0,0,114,20,1,0,0,63,114,7,0,0,0,114,75, 1,0,0,225,5,0,0,114,81,0,0,0,114,9,0,0, 0,122,28,70,105,108,101,70,105,110,100,101,114,46,105,110, 118,97,108,105,100,97,116,101,95,99,97,99,104,101,115,99, @@ -2463,7 +2463,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 41,6,114,99,0,0,0,114,100,0,0,0,114,101,0,0, 0,114,225,0,0,0,114,163,0,0,0,114,201,0,0,0, 41,3,114,143,0,0,0,114,162,0,0,0,114,209,0,0, - 0,32,32,32,114,7,0,0,0,114,160,0,0,0,231,5, + 0,63,63,63,114,7,0,0,0,114,160,0,0,0,231,5, 0,0,115,14,0,0,0,6,7,2,2,4,254,10,3,8, 1,8,1,16,1,114,9,0,0,0,122,22,70,105,108,101, 70,105,110,100,101,114,46,102,105,110,100,95,108,111,97,100, @@ -2473,8 +2473,8 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 100,1,141,4,83,0,41,2,78,114,200,0,0,0,41,1, 114,212,0,0,0,41,7,114,143,0,0,0,114,210,0,0, 0,114,162,0,0,0,114,65,0,0,0,90,4,115,109,115, - 108,114,224,0,0,0,114,163,0,0,0,32,32,32,32,32, - 32,32,114,7,0,0,0,114,88,1,0,0,246,5,0,0, + 108,114,224,0,0,0,114,163,0,0,0,63,63,63,63,63, + 63,63,114,7,0,0,0,114,88,1,0,0,246,5,0,0, 115,8,0,0,0,10,1,8,1,2,1,6,255,114,9,0, 0,0,122,20,70,105,108,101,70,105,110,100,101,114,46,95, 103,101,116,95,115,112,101,99,78,99,3,0,0,0,0,0, @@ -2530,8 +2530,8 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 90,9,98,97,115,101,95,112,97,116,104,114,41,1,0,0, 114,210,0,0,0,90,13,105,110,105,116,95,102,105,108,101, 110,97,109,101,90,9,102,117,108,108,95,112,97,116,104,114, - 209,0,0,0,32,32,32,32,32,32,32,32,32,32,32,32, - 32,32,114,7,0,0,0,114,225,0,0,0,251,5,0,0, + 209,0,0,0,63,63,63,63,63,63,63,63,63,63,63,63, + 63,63,114,7,0,0,0,114,225,0,0,0,251,5,0,0, 115,94,0,0,0,4,5,14,1,2,1,22,1,2,128,12, 1,8,1,2,128,10,1,8,1,6,1,6,2,6,1,10, 1,6,2,4,1,8,2,12,1,14,1,8,1,10,1,8, @@ -2565,7 +2565,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 0,19,0,0,0,115,20,0,0,0,104,0,124,0,93,6, 125,1,124,1,160,0,161,0,146,2,113,2,83,0,114,12, 0,0,0,41,1,114,131,0,0,0,41,2,114,5,0,0, - 0,90,2,102,110,32,32,114,7,0,0,0,114,14,0,0, + 0,90,2,102,110,63,63,114,7,0,0,0,114,14,0,0, 0,75,6,0,0,115,2,0,0,0,20,0,114,9,0,0, 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, @@ -2582,7 +2582,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 108,111,119,101,114,95,115,117,102,102,105,120,95,99,111,110, 116,101,110,116,115,114,67,1,0,0,114,141,0,0,0,114, 51,1,0,0,114,41,1,0,0,90,8,110,101,119,95,110, - 97,109,101,32,32,32,32,32,32,32,32,32,114,7,0,0, + 97,109,101,63,63,63,63,63,63,63,63,63,114,7,0,0, 0,114,98,1,0,0,46,6,0,0,115,42,0,0,0,6, 2,2,1,20,1,2,128,18,1,8,3,2,128,12,3,12, 1,6,7,8,1,16,1,4,1,18,1,4,2,12,1,6, @@ -2620,7 +2620,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 100,105,114,101,99,116,111,114,105,101,115,32,97,114,101,32, 115,117,112,112,111,114,116,101,100,114,74,0,0,0,78,41, 2,114,83,0,0,0,114,142,0,0,0,41,3,114,65,0, - 0,0,114,220,0,0,0,114,97,1,0,0,32,128,128,114, + 0,0,114,220,0,0,0,114,97,1,0,0,63,128,128,114, 7,0,0,0,218,24,112,97,116,104,95,104,111,111,107,95, 102,111,114,95,70,105,108,101,70,105,110,100,101,114,87,6, 0,0,115,6,0,0,0,8,2,12,1,16,1,114,9,0, @@ -2629,7 +2629,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 62,46,112,97,116,104,95,104,111,111,107,95,102,111,114,95, 70,105,108,101,70,105,110,100,101,114,78,114,12,0,0,0, 41,5,114,220,0,0,0,114,97,1,0,0,114,102,1,0, - 0,114,220,0,0,0,114,97,1,0,0,96,96,32,64,64, + 0,114,220,0,0,0,114,97,1,0,0,127,127,63,64,64, 114,7,0,0,0,218,9,112,97,116,104,95,104,111,111,107, 77,6,0,0,115,4,0,0,0,14,10,4,6,114,9,0, 0,0,122,20,70,105,108,101,70,105,110,100,101,114,46,112, @@ -2637,7 +2637,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 0,0,0,0,0,3,0,0,0,3,0,0,0,114,64,1, 0,0,41,2,78,122,16,70,105,108,101,70,105,110,100,101, 114,40,123,33,114,125,41,41,2,114,89,0,0,0,114,65, - 0,0,0,114,20,1,0,0,32,114,7,0,0,0,114,65, + 0,0,0,114,20,1,0,0,63,114,7,0,0,0,114,65, 1,0,0,95,6,0,0,114,58,1,0,0,114,9,0,0, 0,122,19,70,105,108,101,70,105,110,100,101,114,46,95,95, 114,101,112,114,95,95,114,69,0,0,0,41,15,114,149,0, @@ -2668,7 +2668,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 9,69,120,99,101,112,116,105,111,110,41,6,90,2,110,115, 114,141,0,0,0,90,8,112,97,116,104,110,97,109,101,90, 9,99,112,97,116,104,110,97,109,101,114,163,0,0,0,114, - 209,0,0,0,32,32,32,32,32,32,114,7,0,0,0,218, + 209,0,0,0,63,63,63,63,63,63,114,7,0,0,0,218, 14,95,102,105,120,95,117,112,95,109,111,100,117,108,101,101, 6,0,0,115,40,0,0,0,10,2,10,1,4,1,4,1, 8,1,8,1,12,1,10,2,4,1,14,1,2,1,8,1, @@ -2690,13 +2690,13 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 0,0,114,127,0,0,0,114,39,1,0,0,114,113,0,0, 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, - 101,32,32,32,114,7,0,0,0,114,207,0,0,0,124,6, + 101,63,63,63,114,7,0,0,0,114,207,0,0,0,124,6, 0,0,115,8,0,0,0,12,5,8,1,8,1,10,1,114, 9,0,0,0,114,207,0,0,0,99,1,0,0,0,0,0, 0,0,0,0,0,0,1,0,0,0,3,0,0,0,115,8, 0,0,0,124,0,97,0,100,0,83,0,114,69,0,0,0, 41,1,114,158,0,0,0,41,1,218,17,95,98,111,111,116, - 115,116,114,97,112,95,109,111,100,117,108,101,32,114,7,0, + 115,116,114,97,112,95,109,111,100,117,108,101,63,114,7,0, 0,0,218,21,95,115,101,116,95,98,111,111,116,115,116,114, 97,112,95,109,111,100,117,108,101,135,6,0,0,115,2,0, 0,0,8,2,114,9,0,0,0,114,111,1,0,0,99,1, @@ -2712,7 +2712,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 0,0,0,114,91,1,0,0,114,103,1,0,0,218,9,109, 101,116,97,95,112,97,116,104,114,61,0,0,0,114,74,1, 0,0,41,2,114,110,1,0,0,90,17,115,117,112,112,111, - 114,116,101,100,95,108,111,97,100,101,114,115,32,32,114,7, + 114,116,101,100,95,108,111,97,100,101,114,115,63,63,114,7, 0,0,0,218,8,95,105,110,115,116,97,108,108,140,6,0, 0,115,8,0,0,0,8,2,6,1,20,1,16,1,114,9, 0,0,0,114,113,1,0,0,41,1,114,87,0,0,0,114, diff --git a/Python/importlib_zipimport.h b/Python/importlib_zipimport.h index 4df489b454eb4e..b12805cc462dc0 100644 --- a/Python/importlib_zipimport.h +++ b/Python/importlib_zipimport.h @@ -159,7 +159,7 @@ const unsigned char _Py_M__zipimport[] = { 115,101,108,102,114,14,0,0,0,114,18,0,0,0,114,32, 0,0,0,90,2,115,116,90,7,100,105,114,110,97,109,101, 90,8,98,97,115,101,110,97,109,101,218,5,102,105,108,101, - 115,32,32,32,32,32,32,32,32,114,10,0,0,0,218,8, + 115,63,63,63,63,63,63,63,63,114,10,0,0,0,218,8, 95,95,105,110,105,116,95,95,64,0,0,0,115,76,0,0, 0,10,1,8,1,10,1,4,1,12,1,4,1,12,1,4, 2,2,1,2,1,12,1,2,128,16,1,14,3,8,1,12, @@ -226,8 +226,8 @@ const unsigned char _Py_M__zipimport[] = { 117,108,101,95,112,97,116,104,218,7,95,105,115,95,100,105, 114,114,30,0,0,0,114,21,0,0,0,41,5,114,33,0, 0,0,218,8,102,117,108,108,110,97,109,101,114,14,0,0, - 0,218,2,109,105,218,7,109,111,100,112,97,116,104,32,32, - 32,32,32,114,10,0,0,0,218,11,102,105,110,100,95,108, + 0,218,2,109,105,218,7,109,111,100,112,97,116,104,63,63, + 63,63,63,114,10,0,0,0,218,11,102,105,110,100,95,108, 111,97,100,101,114,110,0,0,0,115,20,0,0,0,6,12, 2,2,4,254,10,3,8,1,8,2,10,7,10,1,24,4, 8,2,114,11,0,0,0,122,23,122,105,112,105,109,112,111, @@ -273,7 +273,7 @@ const unsigned char _Py_M__zipimport[] = { 100,95,115,112,101,99,40,41,32,105,110,115,116,101,97,100, 114,0,0,0,0,78,41,4,114,36,0,0,0,114,37,0, 0,0,114,38,0,0,0,114,45,0,0,0,41,3,114,33, - 0,0,0,114,42,0,0,0,114,14,0,0,0,32,32,32, + 0,0,0,114,42,0,0,0,114,14,0,0,0,63,63,63, 114,10,0,0,0,218,11,102,105,110,100,95,109,111,100,117, 108,101,147,0,0,0,115,8,0,0,0,6,11,2,2,4, 254,16,3,114,11,0,0,0,122,23,122,105,112,105,109,112, @@ -305,7 +305,7 @@ const unsigned char _Py_M__zipimport[] = { 0,41,7,114,33,0,0,0,114,42,0,0,0,90,6,116, 97,114,103,101,116,90,11,109,111,100,117,108,101,95,105,110, 102,111,114,44,0,0,0,114,14,0,0,0,90,4,115,112, - 101,99,32,32,32,32,32,32,32,114,10,0,0,0,218,9, + 101,99,63,63,63,63,63,63,63,114,10,0,0,0,218,9, 102,105,110,100,95,115,112,101,99,163,0,0,0,115,24,0, 0,0,10,5,8,1,16,1,10,7,10,1,18,4,8,1, 2,1,6,255,12,2,4,1,4,2,114,11,0,0,0,122, @@ -327,7 +327,7 @@ const unsigned char _Py_M__zipimport[] = { 1,218,16,95,103,101,116,95,109,111,100,117,108,101,95,99, 111,100,101,169,5,114,33,0,0,0,114,42,0,0,0,218, 4,99,111,100,101,218,9,105,115,112,97,99,107,97,103,101, - 114,44,0,0,0,32,32,32,32,32,114,10,0,0,0,218, + 114,44,0,0,0,63,63,63,63,63,114,10,0,0,0,218, 8,103,101,116,95,99,111,100,101,190,0,0,0,115,4,0, 0,0,16,6,4,1,114,11,0,0,0,122,20,122,105,112, 105,109,112,111,114,116,101,114,46,103,101,116,95,99,111,100, @@ -356,7 +356,7 @@ const unsigned char _Py_M__zipimport[] = { 27,0,0,0,114,23,0,0,0,218,9,95,103,101,116,95, 100,97,116,97,41,4,114,33,0,0,0,218,8,112,97,116, 104,110,97,109,101,90,3,107,101,121,218,9,116,111,99,95, - 101,110,116,114,121,32,32,32,32,114,10,0,0,0,218,8, + 101,110,116,114,121,63,63,63,63,114,10,0,0,0,218,8, 103,101,116,95,100,97,116,97,200,0,0,0,115,26,0,0, 0,4,6,12,1,4,2,16,1,22,1,2,2,12,1,2, 128,12,1,12,1,2,128,12,1,2,254,115,12,0,0,0, @@ -376,7 +376,7 @@ const unsigned char _Py_M__zipimport[] = { 32,32,32,32,32,105,102,32,105,116,32,99,111,117,108,100, 110,39,116,32,98,101,32,105,109,112,111,114,116,101,100,46, 10,32,32,32,32,32,32,32,32,78,114,51,0,0,0,114, - 53,0,0,0,32,32,32,32,32,114,10,0,0,0,218,12, + 53,0,0,0,63,63,63,63,63,114,10,0,0,0,218,12, 103,101,116,95,102,105,108,101,110,97,109,101,221,0,0,0, 115,4,0,0,0,16,8,4,1,114,11,0,0,0,122,24, 122,105,112,105,109,112,111,114,116,101,114,46,103,101,116,95, @@ -414,8 +414,8 @@ const unsigned char _Py_M__zipimport[] = { 0,114,27,0,0,0,114,60,0,0,0,114,30,0,0,0, 218,6,100,101,99,111,100,101,41,6,114,33,0,0,0,114, 42,0,0,0,114,43,0,0,0,114,14,0,0,0,218,8, - 102,117,108,108,112,97,116,104,114,62,0,0,0,32,32,32, - 32,32,32,114,10,0,0,0,218,10,103,101,116,95,115,111, + 102,117,108,108,112,97,116,104,114,62,0,0,0,63,63,63, + 63,63,63,114,10,0,0,0,218,10,103,101,116,95,115,111, 117,114,99,101,233,0,0,0,115,30,0,0,0,10,7,8, 1,18,1,10,2,4,1,14,1,10,2,2,2,12,1,2, 128,12,1,6,2,2,128,16,1,2,253,115,12,0,0,0, @@ -438,7 +438,7 @@ const unsigned char _Py_M__zipimport[] = { 39,116,32,98,101,32,102,111,117,110,100,46,10,32,32,32, 32,32,32,32,32,78,114,65,0,0,0,114,66,0,0,0, 41,2,114,39,0,0,0,114,3,0,0,0,41,3,114,33, - 0,0,0,114,42,0,0,0,114,43,0,0,0,32,32,32, + 0,0,0,114,42,0,0,0,114,43,0,0,0,63,63,63, 114,10,0,0,0,114,47,0,0,0,3,1,0,0,115,8, 0,0,0,10,6,8,1,18,1,4,1,114,11,0,0,0, 122,22,122,105,112,105,109,112,111,114,116,101,114,46,105,115, @@ -508,7 +508,7 @@ const unsigned char _Py_M__zipimport[] = { 115,97,103,101,41,9,114,33,0,0,0,114,42,0,0,0, 218,3,109,115,103,114,54,0,0,0,114,55,0,0,0,114, 44,0,0,0,90,3,109,111,100,114,14,0,0,0,114,70, - 0,0,0,32,32,32,32,32,32,32,32,32,114,10,0,0, + 0,0,0,63,63,63,63,63,63,63,63,63,114,10,0,0, 0,218,11,108,111,97,100,95,109,111,100,117,108,101,16,1, 0,0,115,62,0,0,0,4,9,12,2,16,1,12,1,18, 1,8,1,10,1,6,1,2,2,4,1,10,3,14,1,8, @@ -541,7 +541,7 @@ const unsigned char _Py_M__zipimport[] = { 47,0,0,0,114,3,0,0,0,90,17,105,109,112,111,114, 116,108,105,98,46,114,101,97,100,101,114,115,114,85,0,0, 0,41,3,114,33,0,0,0,114,42,0,0,0,114,85,0, - 0,0,32,32,32,114,10,0,0,0,218,19,103,101,116,95, + 0,0,63,63,63,114,10,0,0,0,218,19,103,101,116,95, 114,101,115,111,117,114,99,101,95,114,101,97,100,101,114,59, 1,0,0,115,22,0,0,0,2,6,10,1,4,1,2,255, 2,128,12,2,6,1,2,128,12,1,10,1,2,253,115,12, @@ -559,7 +559,7 @@ const unsigned char _Py_M__zipimport[] = { 116,104,101,32,97,114,99,104,105,118,101,32,112,97,116,104, 46,78,41,6,114,28,0,0,0,114,30,0,0,0,114,29, 0,0,0,114,26,0,0,0,114,3,0,0,0,218,3,112, - 111,112,169,1,114,33,0,0,0,32,114,10,0,0,0,218, + 111,112,169,1,114,33,0,0,0,63,114,10,0,0,0,218, 17,105,110,118,97,108,105,100,97,116,101,95,99,97,99,104, 101,115,74,1,0,0,115,18,0,0,0,2,2,12,1,16, 1,2,128,12,1,14,1,12,1,2,128,2,254,115,12,0, @@ -572,7 +572,7 @@ const unsigned char _Py_M__zipimport[] = { 3,78,122,21,60,122,105,112,105,109,112,111,114,116,101,114, 32,111,98,106,101,99,116,32,34,122,2,34,62,41,3,114, 30,0,0,0,114,21,0,0,0,114,32,0,0,0,114,88, - 0,0,0,32,114,10,0,0,0,218,8,95,95,114,101,112, + 0,0,0,63,114,10,0,0,0,218,8,95,95,114,101,112, 114,95,95,84,1,0,0,115,2,0,0,0,24,1,114,11, 0,0,0,122,20,122,105,112,105,109,112,111,114,116,101,114, 46,95,95,114,101,112,114,95,95,169,1,78,41,17,114,6, @@ -593,14 +593,14 @@ const unsigned char _Py_M__zipimport[] = { 100,2,25,0,23,0,83,0,41,3,78,218,1,46,233,2, 0,0,0,41,2,114,32,0,0,0,218,10,114,112,97,114, 116,105,116,105,111,110,41,2,114,33,0,0,0,114,42,0, - 0,0,32,32,114,10,0,0,0,114,40,0,0,0,102,1, + 0,0,63,63,114,10,0,0,0,114,40,0,0,0,102,1, 0,0,115,2,0,0,0,20,1,114,11,0,0,0,114,40, 0,0,0,99,2,0,0,0,0,0,0,0,0,0,0,0, 2,0,0,0,3,0,0,0,115,18,0,0,0,124,1,116, 0,23,0,125,2,124,2,124,0,106,1,118,0,83,0,114, 91,0,0,0,41,2,114,21,0,0,0,114,29,0,0,0, 41,3,114,33,0,0,0,114,14,0,0,0,90,7,100,105, - 114,112,97,116,104,32,32,32,114,10,0,0,0,114,41,0, + 114,112,97,116,104,63,63,63,114,10,0,0,0,114,41,0, 0,0,106,1,0,0,115,4,0,0,0,8,4,10,2,114, 11,0,0,0,114,41,0,0,0,99,2,0,0,0,0,0, 0,0,0,0,0,0,4,0,0,0,3,0,0,0,115,56, @@ -612,8 +612,8 @@ const unsigned char _Py_M__zipimport[] = { 97,114,99,104,111,114,100,101,114,114,29,0,0,0,41,7, 114,33,0,0,0,114,42,0,0,0,114,14,0,0,0,218, 6,115,117,102,102,105,120,218,10,105,115,98,121,116,101,99, - 111,100,101,114,55,0,0,0,114,70,0,0,0,32,32,32, - 32,32,32,32,114,10,0,0,0,114,39,0,0,0,115,1, + 111,100,101,114,55,0,0,0,114,70,0,0,0,63,63,63, + 63,63,63,63,114,10,0,0,0,114,39,0,0,0,115,1, 0,0,115,14,0,0,0,10,1,14,1,8,1,10,1,8, 1,2,255,4,2,114,11,0,0,0,114,39,0,0,0,99, 1,0,0,0,0,0,0,0,0,0,0,0,9,0,0,0, @@ -750,9 +750,9 @@ const unsigned char _Py_M__zipimport[] = { 9,110,97,109,101,95,115,105,122,101,218,10,101,120,116,114, 97,95,115,105,122,101,90,12,99,111,109,109,101,110,116,95, 115,105,122,101,218,11,102,105,108,101,95,111,102,102,115,101, - 116,114,48,0,0,0,114,14,0,0,0,218,1,116,32,32, - 32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32, - 32,32,32,32,32,32,32,32,114,10,0,0,0,114,28,0, + 116,114,48,0,0,0,114,14,0,0,0,218,1,116,63,63, + 63,63,63,63,63,63,63,63,63,63,63,63,63,63,63,63, + 63,63,63,63,63,63,63,63,114,10,0,0,0,114,28,0, 0,0,146,1,0,0,115,16,1,0,0,2,1,12,1,2, 128,14,1,18,1,2,128,6,2,2,1,14,1,8,1,12, 1,2,128,14,1,18,1,2,128,12,1,18,1,16,1,2, @@ -834,7 +834,7 @@ const unsigned char _Py_M__zipimport[] = { 116,105,110,103,95,122,108,105,98,114,49,0,0,0,114,82, 0,0,0,114,3,0,0,0,90,4,122,108,105,98,114,148, 0,0,0,218,9,69,120,99,101,112,116,105,111,110,114,147, - 0,0,0,32,114,10,0,0,0,218,20,95,103,101,116,95, + 0,0,0,63,114,10,0,0,0,218,20,95,103,101,116,95, 100,101,99,111,109,112,114,101,115,115,95,102,117,110,99,48, 2,0,0,115,36,0,0,0,4,2,10,3,8,1,4,2, 2,1,14,1,2,128,12,1,10,1,8,1,2,128,2,253, @@ -884,8 +884,8 @@ const unsigned char _Py_M__zipimport[] = { 0,114,144,0,0,0,114,138,0,0,0,114,139,0,0,0, 114,140,0,0,0,114,130,0,0,0,114,131,0,0,0,114, 142,0,0,0,114,143,0,0,0,114,134,0,0,0,90,8, - 114,97,119,95,100,97,116,97,114,148,0,0,0,32,32,32, - 32,32,32,32,32,32,32,32,32,32,32,32,32,32,114,10, + 114,97,119,95,100,97,116,97,114,148,0,0,0,63,63,63, + 63,63,63,63,63,63,63,63,63,63,63,63,63,63,114,10, 0,0,0,114,60,0,0,0,69,2,0,0,115,86,0,0, 0,20,1,8,1,8,1,12,2,2,2,12,1,2,128,12, 1,18,1,2,128,10,1,12,1,8,1,16,2,18,2,16, @@ -902,7 +902,7 @@ const unsigned char _Py_M__zipimport[] = { 0,0,0,0,0,0,3,0,0,0,3,0,0,0,115,16, 0,0,0,116,0,124,0,124,1,24,0,131,1,100,1,107, 1,83,0,41,2,78,114,5,0,0,0,41,1,218,3,97, - 98,115,41,2,90,2,116,49,90,2,116,50,32,32,114,10, + 98,115,41,2,90,2,116,49,90,2,116,50,63,63,114,10, 0,0,0,218,9,95,101,113,95,109,116,105,109,101,115,2, 0,0,115,2,0,0,0,16,2,114,11,0,0,0,114,154, 0,0,0,99,5,0,0,0,0,0,0,0,0,0,0,0, @@ -951,8 +951,8 @@ const unsigned char _Py_M__zipimport[] = { 115,111,117,114,99,101,90,12,115,111,117,114,99,101,95,98, 121,116,101,115,114,157,0,0,0,90,12,115,111,117,114,99, 101,95,109,116,105,109,101,90,11,115,111,117,114,99,101,95, - 115,105,122,101,114,54,0,0,0,32,32,32,32,32,32,32, - 32,32,32,32,32,32,32,114,10,0,0,0,218,15,95,117, + 115,105,122,101,114,54,0,0,0,63,63,63,63,63,63,63, + 63,63,63,63,63,63,63,114,10,0,0,0,218,15,95,117, 110,109,97,114,115,104,97,108,95,99,111,100,101,123,2,0, 0,115,72,0,0,0,2,2,2,1,6,254,14,5,12,2, 4,1,12,1,10,1,2,1,2,255,8,1,2,255,10,2, @@ -965,7 +965,7 @@ const unsigned char _Py_M__zipimport[] = { 160,0,100,3,100,2,161,2,125,0,124,0,83,0,41,4, 78,115,2,0,0,0,13,10,243,1,0,0,0,10,243,1, 0,0,0,13,41,1,114,20,0,0,0,41,1,218,6,115, - 111,117,114,99,101,32,114,10,0,0,0,218,23,95,110,111, + 111,117,114,99,101,63,114,10,0,0,0,218,23,95,110,111, 114,109,97,108,105,122,101,95,108,105,110,101,95,101,110,100, 105,110,103,115,168,2,0,0,115,6,0,0,0,12,1,12, 1,4,1,114,11,0,0,0,114,166,0,0,0,99,2,0, @@ -975,7 +975,7 @@ const unsigned char _Py_M__zipimport[] = { 4,78,114,80,0,0,0,84,41,1,90,12,100,111,110,116, 95,105,110,104,101,114,105,116,41,2,114,166,0,0,0,218, 7,99,111,109,112,105,108,101,41,2,114,61,0,0,0,114, - 165,0,0,0,32,32,114,10,0,0,0,218,15,95,99,111, + 165,0,0,0,63,63,114,10,0,0,0,218,15,95,99,111, 109,112,105,108,101,95,115,111,117,114,99,101,175,2,0,0, 115,4,0,0,0,8,1,16,1,114,11,0,0,0,114,168, 0,0,0,99,2,0,0,0,0,0,0,0,0,0,0,0, @@ -988,7 +988,7 @@ const unsigned char _Py_M__zipimport[] = { 0,0,0,233,15,0,0,0,233,31,0,0,0,233,11,0, 0,0,233,63,0,0,0,114,94,0,0,0,114,15,0,0, 0,41,2,114,138,0,0,0,90,6,109,107,116,105,109,101, - 41,2,218,1,100,114,145,0,0,0,32,32,114,10,0,0, + 41,2,218,1,100,114,145,0,0,0,63,63,114,10,0,0, 0,218,14,95,112,97,114,115,101,95,100,111,115,116,105,109, 101,181,2,0,0,115,18,0,0,0,4,1,10,1,10,1, 6,1,6,1,10,1,10,1,6,1,6,249,114,11,0,0, @@ -1008,8 +1008,8 @@ const unsigned char _Py_M__zipimport[] = { 100,101,120,69,114,114,111,114,114,161,0,0,0,41,6,114, 33,0,0,0,114,14,0,0,0,114,62,0,0,0,114,138, 0,0,0,114,139,0,0,0,90,17,117,110,99,111,109,112, - 114,101,115,115,101,100,95,115,105,122,101,32,32,32,32,32, - 32,114,10,0,0,0,114,158,0,0,0,194,2,0,0,115, + 114,101,115,115,101,100,95,115,105,122,101,63,63,63,63,63, + 63,114,10,0,0,0,114,158,0,0,0,194,2,0,0,115, 26,0,0,0,2,1,20,2,12,1,10,1,8,3,8,1, 8,1,14,1,2,128,18,1,6,1,2,128,2,255,115,12, 0,0,0,129,39,41,0,169,10,54,7,183,1,54,7,114, @@ -1023,7 +1023,7 @@ const unsigned char _Py_M__zipimport[] = { 41,3,78,114,15,0,0,0,114,177,0,0,0,41,4,114, 29,0,0,0,114,27,0,0,0,114,60,0,0,0,114,30, 0,0,0,41,3,114,33,0,0,0,114,14,0,0,0,114, - 62,0,0,0,32,32,32,114,10,0,0,0,114,156,0,0, + 62,0,0,0,63,63,63,114,10,0,0,0,114,156,0,0, 0,213,2,0,0,115,20,0,0,0,20,2,12,1,2,2, 12,1,2,128,12,1,6,1,2,128,12,2,2,253,115,12, 0,0,0,145,5,23,0,151,7,33,7,168,1,33,7,114, @@ -1059,8 +1059,8 @@ const unsigned char _Py_M__zipimport[] = { 116,95,101,114,114,111,114,114,97,0,0,0,114,98,0,0, 0,114,55,0,0,0,114,70,0,0,0,114,62,0,0,0, 114,44,0,0,0,114,133,0,0,0,114,54,0,0,0,90, - 3,101,120,99,114,83,0,0,0,32,32,32,32,32,32,32, - 32,32,32,32,32,32,32,114,10,0,0,0,114,52,0,0, + 3,101,120,99,114,83,0,0,0,63,63,63,63,63,63,63, + 63,63,63,63,63,63,63,114,10,0,0,0,114,52,0,0, 0,228,2,0,0,115,64,0,0,0,10,1,4,1,14,1, 8,1,22,1,2,1,12,1,2,128,12,1,4,1,2,128, 8,2,12,1,4,1,4,1,2,1,18,1,2,128,12,1, From 861f90ca2118cd56e9d6075d189822368cad3ae0 Mon Sep 17 00:00:00 2001 From: Eric Snow Date: Mon, 24 May 2021 19:24:39 -0600 Subject: [PATCH 08/31] Use int for counts instead of Py_ssize_t. --- Objects/codeobject.c | 13 +++++++------ Python/compile.c | 12 ++++++------ Python/marshal.c | 5 +++-- 3 files changed, 16 insertions(+), 14 deletions(-) diff --git a/Objects/codeobject.c b/Objects/codeobject.c index 0be52cd49b3f03..9c2f7e5fd82a37 100644 --- a/Objects/codeobject.c +++ b/Objects/codeobject.c @@ -156,7 +156,7 @@ validate_and_copy_tuple(PyObject *tup) // This is also used in compile.c. void -set_fastlocal_info(Py_ssize_t offset, PyObject *name, _PyFastLocalKind kind, +set_fastlocal_info(int offset, PyObject *name, _PyFastLocalKind kind, PyObject *names, _PyFastLocalKinds kinds) { Py_INCREF(name); @@ -191,7 +191,9 @@ get_fastlocals_counts(PyObject *names, _PyFastLocalKinds kinds, int nlocals = 0; int ncellvars = 0; int nfreevars = 0; - for (Py_ssize_t i = 0; i < PyTuple_GET_SIZE(names); i++) { + int nfastlocals = Py_SAFE_DOWNCAST(PyTuple_GET_SIZE(names), + Py_ssize_t, int); + for (int i = 0; i < nfastlocals; i++) { if (kinds[i] & CO_FAST_LOCAL) { nlocals += 1; } @@ -214,14 +216,14 @@ get_fastlocals_counts(PyObject *names, _PyFastLocalKinds kinds, } static inline PyObject * -get_fastlocals_names(PyCodeObject *co, _PyFastLocalKind kind, Py_ssize_t num) +get_fastlocals_names(PyCodeObject *co, _PyFastLocalKind kind, int num) { PyObject *names = PyTuple_New(num); if (names == NULL) { return NULL; } - Py_ssize_t index = 0; - for (Py_ssize_t offset = 0; offset < co->co_nlocalsplus; offset++) { + int index = 0; + for (int offset = 0; offset < co->co_nlocalsplus; offset++) { if ((co->co_fastlocalkinds[offset] & kind) == 0) { continue; } @@ -239,7 +241,6 @@ get_fastlocals_names(PyCodeObject *co, _PyFastLocalKind kind, Py_ssize_t num) return names; } - int _PyCode_Validate(struct _PyCodeConstructor *con) { diff --git a/Python/compile.c b/Python/compile.c index 864828726d5b4e..50a2779ca6d938 100644 --- a/Python/compile.c +++ b/Python/compile.c @@ -7181,29 +7181,29 @@ merge_const_one(struct compiler *c, PyObject **obj) } // This is in codeobject.c. -extern void set_fastlocal_info(Py_ssize_t, PyObject *, _PyFastLocalKind, +extern void set_fastlocal_info(int, PyObject *, _PyFastLocalKind, PyObject *, _PyFastLocalKinds); static void compute_fastlocals_info(struct compiler *c, PyObject *names, _PyFastLocalKinds kinds) { - Py_ssize_t nlocalsplus = PyTuple_GET_SIZE(names); + int nlocalsplus = (int)PyTuple_GET_SIZE(names); PyObject *k, *v; Py_ssize_t pos = 0; while (PyDict_Next(c->u->u_varnames, &pos, &k, &v)) { - Py_ssize_t offset = PyLong_AS_LONG(v); + int offset = (int)PyLong_AS_LONG(v); assert(offset >= 0); assert(offset < nlocalsplus); // For now we do not distinguish arg kinds. set_fastlocal_info(offset, k, CO_FAST_LOCAL, names, kinds); } - Py_ssize_t nlocals = PyDict_GET_SIZE(c->u->u_varnames); + int nlocals = (int)PyDict_GET_SIZE(c->u->u_varnames); pos = 0; while (PyDict_Next(c->u->u_cellvars, &pos, &k, &v)) { - Py_ssize_t offset = PyLong_AS_LONG(v); + int offset = (int)PyLong_AS_LONG(v); assert(offset >= 0); offset += nlocals; assert(offset < nlocalsplus); @@ -7212,7 +7212,7 @@ compute_fastlocals_info(struct compiler *c, pos = 0; while (PyDict_Next(c->u->u_freevars, &pos, &k, &v)) { - Py_ssize_t offset = PyLong_AS_LONG(v); + int offset = (int)PyLong_AS_LONG(v); assert(offset >= 0); offset += nlocals; assert(offset < nlocalsplus); diff --git a/Python/marshal.c b/Python/marshal.c index 7273598ca8b1cc..11ea18e41bc632 100644 --- a/Python/marshal.c +++ b/Python/marshal.c @@ -1349,9 +1349,10 @@ r_object(RFILE *p) goto code_error; _PyFastLocalKinds fastlocalkinds; - Py_ssize_t nlocalsplus = PyTuple_GET_SIZE(fastlocalnames); + assert(PyTuple_GET_SIZE(fastlocalnames) < INT_MAX); + int nlocalsplus = PyTuple_GET_SIZE(fastlocalnames); if (nlocalsplus) { - for (Py_ssize_t i = 0; i < nlocalsplus; i++) { + for (int i = 0; i < nlocalsplus; i++) { fastlocalkinds[i] = r_byte(p); } } From 4d970564de6c249cab211858c1fc4fb99c307c5a Mon Sep 17 00:00:00 2001 From: Eric Snow Date: Mon, 24 May 2021 19:59:39 -0600 Subject: [PATCH 09/31] Switch co_fastlocalkinds to a variable length array. --- Include/cpython/code.h | 2 +- Include/internal/pycore_code.h | 26 +++++++++++++++++++++++++- Objects/codeobject.c | 18 +++++++++++++----- Python/compile.c | 12 +++++++++--- Python/marshal.c | 15 +++++++++++---- 5 files changed, 59 insertions(+), 14 deletions(-) diff --git a/Include/cpython/code.h b/Include/cpython/code.h index 5a938a1223a8f7..b3dbe057fb7a88 100644 --- a/Include/cpython/code.h +++ b/Include/cpython/code.h @@ -19,7 +19,7 @@ typedef struct _PyOpcache _PyOpcache; // These are duplicated from pycore_code.h. typedef unsigned char _PyFastLocalKind; -typedef _PyFastLocalKind _PyFastLocalKinds[_Py_MAX_OPARG + 1]; +typedef _PyFastLocalKind *_PyFastLocalKinds; /* Bytecode object */ struct PyCodeObject { diff --git a/Include/internal/pycore_code.h b/Include/internal/pycore_code.h index 3fd95582ac1c3c..f7b6f0767cf663 100644 --- a/Include/internal/pycore_code.h +++ b/Include/internal/pycore_code.h @@ -43,7 +43,31 @@ typedef unsigned char _PyFastLocalKind; #define CO_FAST_LOCAL (CO_FAST_ARG | CO_FAST_LOCALONLY) #define CO_FAST_ANY (CO_FAST_LOCAL | CO_FAST_CELL | CO_FAST_FREE) -typedef _PyFastLocalKind _PyFastLocalKinds[_Py_MAX_OPARG + 1]; +typedef _PyFastLocalKind *_PyFastLocalKinds; + +static inline int +_PyCode_InitFastLocalKinds(int num, _PyFastLocalKinds *pkinds) +{ + if (num == 0) { + *pkinds = NULL; + return 0; + } + _PyFastLocalKinds kinds = PyMem_NEW(_PyFastLocalKind, num); + if (kinds == NULL) { + PyErr_NoMemory(); + return -1; + } + *pkinds = kinds; + return 0; +} + +static inline void +_PyCode_ClearFastLocalKinds(_PyFastLocalKinds kinds) +{ + if (kinds != NULL) { + PyMem_Free(kinds); + } +} struct _PyCodeConstructor { /* metadata */ diff --git a/Objects/codeobject.c b/Objects/codeobject.c index 9c2f7e5fd82a37..183d63eee3239b 100644 --- a/Objects/codeobject.c +++ b/Objects/codeobject.c @@ -252,6 +252,8 @@ _PyCode_Validate(struct _PyCodeConstructor *con) con->consts == NULL || !PyTuple_Check(con->consts) || con->names == NULL || !PyTuple_Check(con->names) || con->fastlocalnames == NULL || !PyTuple_Check(con->fastlocalnames) || + (PyTuple_GET_SIZE(con->fastlocalnames) && con->fastlocalkinds == NULL) || + (!PyTuple_GET_SIZE(con->fastlocalnames) && con->fastlocalkinds != NULL) || con->name == NULL || !PyUnicode_Check(con->name) || con->filename == NULL || !PyUnicode_Check(con->filename) || con->linetable == NULL || !PyBytes_Check(con->linetable) || @@ -260,7 +262,6 @@ _PyCode_Validate(struct _PyCodeConstructor *con) PyErr_BadInternalCall(); return -1; } - // For now we don't worry about checking fastlocalkinds. /* Make sure that code is indexable with an int, this is a long running assumption in ceval.c and many parts of @@ -316,7 +317,8 @@ init_code(PyCodeObject *co, struct _PyCodeConstructor *con) Py_INCREF(con->fastlocalnames); co->co_fastlocalnames = con->fastlocalnames; - memcpy(co->co_fastlocalkinds, con->fastlocalkinds, nlocalsplus); + // We take ownership of the kinds array. + co->co_fastlocalkinds = con->fastlocalkinds; co->co_argcount = con->argcount; co->co_posonlyargcount = con->posonlyargcount; @@ -439,7 +441,7 @@ PyCode_NewWithPosOnlyArgs(int argcount, int posonlyargcount, int kwonlyargcount, { PyCodeObject *co = NULL; PyObject *fastlocalnames = NULL; - _PyFastLocalKinds fastlocalkinds; + _PyFastLocalKinds fastlocalkinds = NULL; if (varnames == NULL || !PyTuple_Check(varnames) || cellvars == NULL || !PyTuple_Check(cellvars) || @@ -458,6 +460,9 @@ PyCode_NewWithPosOnlyArgs(int argcount, int posonlyargcount, int kwonlyargcount, if (fastlocalnames == NULL) { goto error; } + if (_PyCode_InitFastLocalKinds(nlocalsplus, &fastlocalkinds) < 0) { + goto error; + } int offset = 0; for (int i = 0; i < nvarnames; i++, offset++) { PyObject *name = PyTuple_GET_ITEM(varnames, i); @@ -488,7 +493,7 @@ PyCode_NewWithPosOnlyArgs(int argcount, int posonlyargcount, int kwonlyargcount, .names = names, .fastlocalnames = fastlocalnames, - // We copy fastlocalkinds into place below. + .fastlocalkinds = fastlocalkinds, .argcount = argcount, .posonlyargcount = posonlyargcount, @@ -498,7 +503,6 @@ PyCode_NewWithPosOnlyArgs(int argcount, int posonlyargcount, int kwonlyargcount, .exceptiontable = exceptiontable, }; - memcpy(con.fastlocalkinds, fastlocalkinds, nlocalsplus); if (_PyCode_Validate(&con) < 0) { goto error; @@ -514,6 +518,7 @@ PyCode_NewWithPosOnlyArgs(int argcount, int posonlyargcount, int kwonlyargcount, goto error; } + fastlocalkinds = NULL; // This keeps it from getting freed below. Py_INCREF(varnames); co->co_varnames = varnames; Py_INCREF(cellvars); @@ -523,6 +528,7 @@ PyCode_NewWithPosOnlyArgs(int argcount, int posonlyargcount, int kwonlyargcount, error: Py_XDECREF(fastlocalnames); + _PyCode_ClearFastLocalKinds(fastlocalkinds); return co; } @@ -1213,6 +1219,8 @@ code_dealloc(PyCodeObject *co) Py_XDECREF(co->co_code); Py_XDECREF(co->co_consts); Py_XDECREF(co->co_names); + Py_XDECREF(co->co_fastlocalnames); + _PyCode_ClearFastLocalKinds(co->co_fastlocalkinds); Py_XDECREF(co->co_varnames); Py_XDECREF(co->co_freevars); Py_XDECREF(co->co_cellvars); diff --git a/Python/compile.c b/Python/compile.c index 50a2779ca6d938..ca90e941e78f41 100644 --- a/Python/compile.c +++ b/Python/compile.c @@ -7228,7 +7228,7 @@ makecode(struct compiler *c, struct assembler *a, PyObject *constslist, PyObject *names = NULL; PyObject *consts = NULL; PyObject *fastlocalnames = NULL; - _PyFastLocalKinds fastlocalkinds; + _PyFastLocalKinds fastlocalkinds = NULL; PyObject *name = NULL; int flags; int posorkeywordargcount, posonlyargcount, kwonlyargcount; @@ -7260,6 +7260,9 @@ makecode(struct compiler *c, struct assembler *a, PyObject *constslist, if (fastlocalnames == NULL) { goto error; } + if (_PyCode_InitFastLocalKinds(nlocalsplus, &fastlocalkinds) < 0) { + goto error; + } compute_fastlocals_info(c, fastlocalnames, fastlocalkinds); posonlyargcount = Py_SAFE_DOWNCAST(c->u->u_posonlyargcount, Py_ssize_t, int); @@ -7278,7 +7281,7 @@ makecode(struct compiler *c, struct assembler *a, PyObject *constslist, .names = names, .fastlocalnames = fastlocalnames, - // We copy fastlocalkinds into place below. + .fastlocalkinds = fastlocalkinds, .argcount = posonlyargcount + posorkeywordargcount, .posonlyargcount = posonlyargcount, @@ -7288,13 +7291,13 @@ makecode(struct compiler *c, struct assembler *a, PyObject *constslist, .exceptiontable = a->a_except_table, }; - memcpy(con.fastlocalkinds, fastlocalkinds, nlocalsplus); if (_PyCode_Validate(&con) < 0) { goto error; } if (!merge_const_one(c, &fastlocalnames)) { + _PyCode_ClearFastLocalKinds(con.fastlocalkinds); goto error; } con.fastlocalnames = fastlocalnames; @@ -7304,10 +7307,13 @@ makecode(struct compiler *c, struct assembler *a, PyObject *constslist, goto error; } + fastlocalkinds = NULL; // This keeps it from getting freed below. + error: Py_XDECREF(names); Py_XDECREF(consts); Py_XDECREF(fastlocalnames); + _PyCode_ClearFastLocalKinds(fastlocalkinds); Py_XDECREF(name); return co; } diff --git a/Python/marshal.c b/Python/marshal.c index 11ea18e41bc632..205f1c9d5c8e4a 100644 --- a/Python/marshal.c +++ b/Python/marshal.c @@ -1306,6 +1306,7 @@ r_object(RFILE *p) PyObject *consts = NULL; PyObject *names = NULL; PyObject *fastlocalnames = NULL; + _PyFastLocalKinds fastlocalkinds = NULL; PyObject *filename = NULL; PyObject *name = NULL; int firstlineno; @@ -1348,10 +1349,13 @@ r_object(RFILE *p) if (fastlocalnames == NULL) goto code_error; - _PyFastLocalKinds fastlocalkinds; assert(PyTuple_GET_SIZE(fastlocalnames) < INT_MAX); - int nlocalsplus = PyTuple_GET_SIZE(fastlocalnames); + int nlocalsplus = (int)PyTuple_GET_SIZE(fastlocalnames); if (nlocalsplus) { + if (_PyCode_InitFastLocalKinds(nlocalsplus, + &fastlocalkinds) < 0) { + goto code_error; + } for (int i = 0; i < nlocalsplus; i++) { fastlocalkinds[i] = r_byte(p); } @@ -1393,7 +1397,7 @@ r_object(RFILE *p) .names = names, .fastlocalnames = fastlocalnames, - // We copy fastlocalkinds into place below. + .fastlocalkinds = fastlocalkinds, .argcount = argcount, .posonlyargcount = posonlyargcount, @@ -1403,7 +1407,6 @@ r_object(RFILE *p) .exceptiontable = exceptiontable, }; - memcpy(con.fastlocalkinds, fastlocalkinds, nlocalsplus); if (_PyCode_Validate(&con) < 0) { goto code_error; @@ -1413,6 +1416,9 @@ r_object(RFILE *p) if (v == NULL) { goto code_error; } + + fastlocalkinds = NULL; // This keeps it from getting freed below. + v = r_ref_insert(v, idx, flag, p); code_error: @@ -1420,6 +1426,7 @@ r_object(RFILE *p) Py_XDECREF(consts); Py_XDECREF(names); Py_XDECREF(fastlocalnames); + _PyCode_ClearFastLocalKinds(fastlocalkinds); Py_XDECREF(filename); Py_XDECREF(name); Py_XDECREF(linetable); From f67e7ebc5b861a072baddacf9cb55777efa0e567 Mon Sep 17 00:00:00 2001 From: Eric Snow Date: Wed, 26 May 2021 16:10:47 -0600 Subject: [PATCH 10/31] Fix a "smelly" symbol. --- Objects/codeobject.c | 16 ++++++++-------- Python/compile.c | 10 +++++----- 2 files changed, 13 insertions(+), 13 deletions(-) diff --git a/Objects/codeobject.c b/Objects/codeobject.c index 183d63eee3239b..6b77e4985d2bef 100644 --- a/Objects/codeobject.c +++ b/Objects/codeobject.c @@ -156,8 +156,8 @@ validate_and_copy_tuple(PyObject *tup) // This is also used in compile.c. void -set_fastlocal_info(int offset, PyObject *name, _PyFastLocalKind kind, - PyObject *names, _PyFastLocalKinds kinds) +_Py_set_fastlocal_info(int offset, PyObject *name, _PyFastLocalKind kind, + PyObject *names, _PyFastLocalKinds kinds) { Py_INCREF(name); PyTuple_SET_ITEM(names, offset, name); @@ -466,18 +466,18 @@ PyCode_NewWithPosOnlyArgs(int argcount, int posonlyargcount, int kwonlyargcount, int offset = 0; for (int i = 0; i < nvarnames; i++, offset++) { PyObject *name = PyTuple_GET_ITEM(varnames, i); - set_fastlocal_info(offset, name, CO_FAST_LOCAL, - fastlocalnames, fastlocalkinds); + _Py_set_fastlocal_info(offset, name, CO_FAST_LOCAL, + fastlocalnames, fastlocalkinds); } for (int i = 0; i < ncellvars; i++, offset++) { PyObject *name = PyTuple_GET_ITEM(cellvars, i); - set_fastlocal_info(offset, name, CO_FAST_CELL, - fastlocalnames, fastlocalkinds); + _Py_set_fastlocal_info(offset, name, CO_FAST_CELL, + fastlocalnames, fastlocalkinds); } for (int i = 0; i < nfreevars; i++, offset++) { PyObject *name = PyTuple_GET_ITEM(freevars, i); - set_fastlocal_info(offset, name, CO_FAST_FREE, - fastlocalnames, fastlocalkinds); + _Py_set_fastlocal_info(offset, name, CO_FAST_FREE, + fastlocalnames, fastlocalkinds); } struct _PyCodeConstructor con = { diff --git a/Python/compile.c b/Python/compile.c index ca90e941e78f41..d02d2b5bf3f34d 100644 --- a/Python/compile.c +++ b/Python/compile.c @@ -7181,8 +7181,8 @@ merge_const_one(struct compiler *c, PyObject **obj) } // This is in codeobject.c. -extern void set_fastlocal_info(int, PyObject *, _PyFastLocalKind, - PyObject *, _PyFastLocalKinds); +extern void _Py_set_fastlocal_info(int, PyObject *, _PyFastLocalKind, + PyObject *, _PyFastLocalKinds); static void compute_fastlocals_info(struct compiler *c, @@ -7197,7 +7197,7 @@ compute_fastlocals_info(struct compiler *c, assert(offset >= 0); assert(offset < nlocalsplus); // For now we do not distinguish arg kinds. - set_fastlocal_info(offset, k, CO_FAST_LOCAL, names, kinds); + _Py_set_fastlocal_info(offset, k, CO_FAST_LOCAL, names, kinds); } int nlocals = (int)PyDict_GET_SIZE(c->u->u_varnames); @@ -7207,7 +7207,7 @@ compute_fastlocals_info(struct compiler *c, assert(offset >= 0); offset += nlocals; assert(offset < nlocalsplus); - set_fastlocal_info(offset, k, CO_FAST_CELL, names, kinds); + _Py_set_fastlocal_info(offset, k, CO_FAST_CELL, names, kinds); } pos = 0; @@ -7216,7 +7216,7 @@ compute_fastlocals_info(struct compiler *c, assert(offset >= 0); offset += nlocals; assert(offset < nlocalsplus); - set_fastlocal_info(offset, k, CO_FAST_FREE, names, kinds); + _Py_set_fastlocal_info(offset, k, CO_FAST_FREE, names, kinds); } } From c5d0ad25ef7e85a6d533ce3b7bcba7a1fc2f8729 Mon Sep 17 00:00:00 2001 From: Eric Snow Date: Wed, 26 May 2021 16:24:05 -0600 Subject: [PATCH 11/31] Fix PyFrame_FastToLocals() and PyFrame_LocalsToFast(). --- Objects/frameobject.c | 11 ++++++++--- 1 file changed, 8 insertions(+), 3 deletions(-) diff --git a/Objects/frameobject.c b/Objects/frameobject.c index 86e3e79031cd86..23d5e1a56f56c1 100644 --- a/Objects/frameobject.c +++ b/Objects/frameobject.c @@ -956,8 +956,10 @@ PyFrame_FastToLocalsWithError(PyFrameObject *f) PyObject *name = PyTuple_GET_ITEM(co->co_fastlocalnames, i); PyObject *value = fast[i]; if (kind & (CO_FAST_CELL | CO_FAST_FREE) && value != NULL) { - assert(PyCell_Check(value)); - value = PyCell_GET(value); + if (!(kind & CO_FAST_LOCAL)) { + assert(PyCell_Check(value)); + value = PyCell_GET(value); + } } if (value == NULL) { if (PyObject_DelItem(locals, name) != 0) { @@ -1023,7 +1025,10 @@ PyFrame_LocalsToFast(PyFrameObject *f, int clear) continue; } } - if (kind & (CO_FAST_CELL | CO_FAST_FREE)) { + if (kind & (CO_FAST_CELL | CO_FAST_FREE) && + // For now we ignore args that are also cells. + !(kind & CO_FAST_LOCAL) + ) { assert(PyCell_Check(fast[i])); if (PyCell_GET(fast[i]) != value) { if (PyCell_Set(fast[i], value) < 0) { From b9a975cf2c73a5ccd523e58eb811ae20c615d2d7 Mon Sep 17 00:00:00 2001 From: Eric Snow Date: Wed, 26 May 2021 16:35:25 -0600 Subject: [PATCH 12/31] Fix a typo. --- Objects/codeobject.c | 4 +- Python/importlib.h | 162 ++++++++++++------------ Python/importlib_external.h | 232 +++++++++++++++++------------------ Python/importlib_zipimport.h | 60 ++++----- 4 files changed, 229 insertions(+), 229 deletions(-) diff --git a/Objects/codeobject.c b/Objects/codeobject.c index 6b77e4985d2bef..932fbd08001f81 100644 --- a/Objects/codeobject.c +++ b/Objects/codeobject.c @@ -380,9 +380,9 @@ _PyCode_New(struct _PyCodeConstructor *con) /* Check for any inner or outer closure references */ if (!co->co_ncellvars && !co->co_nfreevars) { - con->flags |= CO_NOFREE; + co->co_flags |= CO_NOFREE; } else { - con->flags &= ~CO_NOFREE; + co->co_flags &= ~CO_NOFREE; } /* Create mapping between cells and arguments if needed. */ diff --git a/Python/importlib.h b/Python/importlib.h index 98cde300569380..b9edcc5e7f6c90 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_bootstrap[] = { 99,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0, - 0,0,0,0,0,115,214,1,0,0,100,0,90,0,100,1, + 0,64,0,0,0,115,214,1,0,0,100,0,90,0,100,1, 100,2,132,0,90,1,100,3,90,2,100,3,90,3,100,3, 90,4,100,3,97,5,100,4,100,5,132,0,90,6,100,6, 100,7,132,0,90,7,105,0,90,8,105,0,90,9,71,0, @@ -53,7 +53,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 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, 32,109,111,100,117,108,101,46,10,10,99,1,0,0,0,0, - 0,0,0,0,0,0,0,8,0,0,0,3,0,0,0,115, + 0,0,0,0,0,0,0,8,0,0,0,67,0,0,0,115, 40,0,0,0,9,0,124,0,106,0,83,0,35,0,4,0, 116,1,121,19,1,0,1,0,1,0,116,2,124,0,131,1, 106,0,6,0,89,0,83,0,37,0,119,0,169,1,78,41, @@ -66,7 +66,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 0,0,0,2,1,6,1,2,128,12,1,14,1,2,128,2, 255,115,12,0,0,0,129,2,4,0,132,12,18,7,147,1, 18,7,114,6,0,0,0,78,99,2,0,0,0,0,0,0, - 0,0,0,0,0,7,0,0,0,3,0,0,0,115,56,0, + 0,0,0,0,0,7,0,0,0,67,0,0,0,115,56,0, 0,0,100,1,68,0,93,16,125,2,116,0,124,1,124,2, 131,2,114,18,116,1,124,0,124,2,116,2,124,1,124,2, 131,2,131,3,1,0,113,2,124,0,106,3,160,4,124,1, @@ -84,20 +84,20 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 218,5,95,119,114,97,112,40,0,0,0,115,10,0,0,0, 8,2,10,1,18,1,2,128,18,1,243,0,0,0,0,114, 16,0,0,0,99,1,0,0,0,0,0,0,0,0,0,0, - 0,2,0,0,0,3,0,0,0,115,12,0,0,0,116,0, + 0,2,0,0,0,67,0,0,0,115,12,0,0,0,116,0, 116,1,131,1,124,0,131,1,83,0,114,0,0,0,0,41, 2,114,3,0,0,0,218,3,115,121,115,169,1,218,4,110, 97,109,101,63,114,5,0,0,0,218,11,95,110,101,119,95, 109,111,100,117,108,101,48,0,0,0,115,2,0,0,0,12, 1,114,17,0,0,0,114,21,0,0,0,99,0,0,0,0, - 0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0, + 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, 114,111,114,78,41,3,114,8,0,0,0,114,7,0,0,0, 114,1,0,0,0,169,0,114,5,0,0,0,114,22,0,0, 0,61,0,0,0,115,4,0,0,0,8,0,4,1,114,17, 0,0,0,114,22,0,0,0,99,0,0,0,0,0,0,0, - 0,0,0,0,0,2,0,0,0,0,0,0,0,115,56,0, + 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, @@ -114,7 +114,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 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, 32,32,32,32,99,2,0,0,0,0,0,0,0,0,0,0, - 0,2,0,0,0,3,0,0,0,115,48,0,0,0,116,0, + 0,2,0,0,0,67,0,0,0,115,48,0,0,0,116,0, 160,1,161,0,124,0,95,2,116,0,160,1,161,0,124,0, 95,3,124,1,124,0,95,4,100,0,124,0,95,5,100,1, 124,0,95,6,100,1,124,0,95,7,100,0,83,0,169,2, @@ -128,7 +128,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 0,10,1,10,1,6,1,6,1,6,1,10,1,114,17,0, 0,0,122,20,95,77,111,100,117,108,101,76,111,99,107,46, 95,95,105,110,105,116,95,95,99,1,0,0,0,0,0,0, - 0,0,0,0,0,3,0,0,0,3,0,0,0,115,86,0, + 0,0,0,0,0,3,0,0,0,67,0,0,0,115,86,0, 0,0,116,0,160,1,161,0,125,1,124,0,106,2,125,2, 116,3,131,0,125,3,9,0,116,4,160,5,124,2,161,1, 125,4,124,4,100,0,117,0,114,22,100,2,83,0,124,4, @@ -146,7 +146,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 1,8,1,4,6,10,1,2,242,114,17,0,0,0,122,24, 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, - 0,0,0,0,0,9,0,0,0,3,0,0,0,115,204,0, + 0,0,0,0,0,9,0,0,0,67,0,0,0,115,204,0, 0,0,116,0,160,1,161,0,125,1,124,0,116,2,124,1, 60,0,9,0,9,0,124,0,106,3,53,0,1,0,124,0, 106,4,100,2,107,2,115,24,124,0,106,5,124,1,107,2, @@ -189,7 +189,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 15,3,65,14,11,193,18,14,65,32,0,193,32,5,65,37, 7,122,19,95,77,111,100,117,108,101,76,111,99,107,46,97, 99,113,117,105,114,101,99,1,0,0,0,0,0,0,0,0, - 0,0,0,9,0,0,0,3,0,0,0,115,148,0,0,0, + 0,0,0,9,0,0,0,67,0,0,0,115,148,0,0,0, 116,0,160,1,161,0,125,1,124,0,106,2,53,0,1,0, 124,0,106,3,124,1,107,3,114,17,116,4,100,1,131,1, 130,1,124,0,106,5,100,2,107,4,115,24,74,0,130,1, @@ -212,7 +212,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 115,15,0,0,0,135,47,61,3,189,4,65,1,11,193,2, 3,65,1,11,122,19,95,77,111,100,117,108,101,76,111,99, 107,46,114,101,108,101,97,115,101,99,1,0,0,0,0,0, - 0,0,0,0,0,0,5,0,0,0,3,0,0,0,243,18, + 0,0,0,0,0,0,5,0,0,0,67,0,0,0,243,18, 0,0,0,100,1,160,0,124,0,106,1,116,2,124,0,131, 1,161,2,83,0,41,2,78,122,23,95,77,111,100,117,108, 101,76,111,99,107,40,123,33,114,125,41,32,97,116,32,123, @@ -228,7 +228,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 65,0,0,0,115,14,0,0,0,8,0,4,1,8,5,8, 8,8,21,8,25,12,13,114,17,0,0,0,114,24,0,0, 0,99,0,0,0,0,0,0,0,0,0,0,0,0,2,0, - 0,0,0,0,0,0,115,48,0,0,0,101,0,90,1,100, + 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, @@ -239,7 +239,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 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, - 0,0,0,0,2,0,0,0,3,0,0,0,115,16,0,0, + 0,0,0,0,2,0,0,0,67,0,0,0,115,16,0,0, 0,124,1,124,0,95,0,100,1,124,0,95,1,100,0,83, 0,114,25,0,0,0,41,2,114,20,0,0,0,114,31,0, 0,0,114,33,0,0,0,63,63,114,5,0,0,0,114,35, @@ -247,14 +247,14 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 114,17,0,0,0,122,25,95,68,117,109,109,121,77,111,100, 117,108,101,76,111,99,107,46,95,95,105,110,105,116,95,95, 99,1,0,0,0,0,0,0,0,0,0,0,0,3,0,0, - 0,3,0,0,0,115,18,0,0,0,124,0,4,0,106,0, + 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, 43,0,0,0,84,41,1,114,31,0,0,0,114,53,0,0, 0,63,114,5,0,0,0,114,44,0,0,0,150,0,0,0, 115,4,0,0,0,14,1,4,1,114,17,0,0,0,122,24, 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, - 0,0,0,0,0,3,0,0,0,3,0,0,0,115,36,0, + 0,0,0,0,0,3,0,0,0,67,0,0,0,115,36,0, 0,0,124,0,106,0,100,1,107,2,114,9,116,1,100,2, 131,1,130,1,124,0,4,0,106,0,100,3,56,0,2,0, 95,0,100,0,83,0,41,4,78,114,26,0,0,0,114,47, @@ -264,7 +264,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 1,18,1,114,17,0,0,0,122,24,95,68,117,109,109,121, 77,111,100,117,108,101,76,111,99,107,46,114,101,108,101,97, 115,101,99,1,0,0,0,0,0,0,0,0,0,0,0,5, - 0,0,0,3,0,0,0,114,49,0,0,0,41,2,78,122, + 0,0,0,67,0,0,0,114,49,0,0,0,41,2,78,122, 28,95,68,117,109,109,121,77,111,100,117,108,101,76,111,99, 107,40,123,33,114,125,41,32,97,116,32,123,125,114,50,0, 0,0,114,53,0,0,0,63,114,5,0,0,0,114,54,0, @@ -277,12 +277,12 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 114,56,0,0,0,142,0,0,0,115,12,0,0,0,8,0, 4,1,8,3,8,4,8,4,12,5,114,17,0,0,0,114, 56,0,0,0,99,0,0,0,0,0,0,0,0,0,0,0, - 0,2,0,0,0,0,0,0,0,115,36,0,0,0,101,0, + 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, - 0,0,0,0,0,2,0,0,0,3,0,0,0,115,16,0, + 0,0,0,0,0,2,0,0,0,67,0,0,0,115,16,0, 0,0,124,1,124,0,95,0,100,0,124,0,95,1,100,0, 83,0,114,0,0,0,0,41,2,218,5,95,110,97,109,101, 218,5,95,108,111,99,107,114,33,0,0,0,63,63,114,5, @@ -290,7 +290,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 0,114,17,0,0,0,122,27,95,77,111,100,117,108,101,76, 111,99,107,77,97,110,97,103,101,114,46,95,95,105,110,105, 116,95,95,99,1,0,0,0,0,0,0,0,0,0,0,0, - 2,0,0,0,3,0,0,0,115,26,0,0,0,116,0,124, + 2,0,0,0,67,0,0,0,115,26,0,0,0,116,0,124, 0,106,1,131,1,124,0,95,2,124,0,106,2,160,3,161, 0,1,0,100,0,83,0,114,0,0,0,0,41,4,218,16, 95,103,101,116,95,109,111,100,117,108,101,95,108,111,99,107, @@ -300,7 +300,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 14,1,114,17,0,0,0,122,28,95,77,111,100,117,108,101, 76,111,99,107,77,97,110,97,103,101,114,46,95,95,101,110, 116,101,114,95,95,99,1,0,0,0,0,0,0,0,0,0, - 0,0,2,0,0,0,15,0,0,0,115,14,0,0,0,124, + 0,0,2,0,0,0,79,0,0,0,115,14,0,0,0,124, 0,106,0,160,1,161,0,1,0,100,0,83,0,114,0,0, 0,0,41,2,114,60,0,0,0,114,45,0,0,0,41,3, 114,34,0,0,0,218,4,97,114,103,115,90,6,107,119,97, @@ -313,7 +313,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 0,0,0,114,23,0,0,0,114,5,0,0,0,114,58,0, 0,0,163,0,0,0,115,8,0,0,0,8,0,8,2,8, 4,12,4,114,17,0,0,0,114,58,0,0,0,99,1,0, - 0,0,0,0,0,0,0,0,0,0,8,0,0,0,3,0, + 0,0,0,0,0,0,0,0,0,0,8,0,0,0,67,0, 0,0,115,138,0,0,0,116,0,160,1,161,0,1,0,9, 0,9,0,116,2,124,0,25,0,131,0,125,1,110,12,35, 0,4,0,116,3,121,68,1,0,1,0,1,0,100,1,125, @@ -333,7 +333,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 99,107,32,116,111,32,112,114,111,116,101,99,116,10,32,32, 32,32,95,109,111,100,117,108,101,95,108,111,99,107,115,46, 78,99,2,0,0,0,0,0,0,0,0,0,0,0,8,0, - 0,0,19,0,0,0,115,56,0,0,0,116,0,160,1,161, + 0,0,83,0,0,0,115,56,0,0,0,116,0,160,1,161, 0,1,0,9,0,116,2,160,3,124,1,161,1,124,0,117, 0,114,15,116,2,124,1,61,0,116,0,160,4,161,0,1, 0,100,0,83,0,35,0,116,0,160,4,161,0,1,0,119, @@ -358,7 +358,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 2,128,10,254,2,128,2,234,115,26,0,0,0,134,5,12, 0,139,1,61,0,140,9,23,7,149,34,61,0,189,6,65, 3,7,193,4,1,23,7,114,61,0,0,0,99,1,0,0, - 0,0,0,0,0,0,0,0,0,8,0,0,0,3,0,0, + 0,0,0,0,0,0,0,0,0,8,0,0,0,67,0,0, 0,115,56,0,0,0,116,0,124,0,131,1,125,1,9,0, 124,1,160,1,161,0,1,0,110,11,35,0,4,0,116,2, 121,27,1,0,1,0,1,0,89,0,100,1,83,0,37,0, @@ -383,7 +383,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 1,6,3,2,128,12,2,2,251,115,12,0,0,0,133,4, 10,0,138,7,20,7,155,1,20,7,114,73,0,0,0,99, 1,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0, - 15,0,0,0,115,14,0,0,0,124,0,124,1,105,0,124, + 79,0,0,0,115,14,0,0,0,124,0,124,1,105,0,124, 2,164,1,142,1,83,0,41,2,97,46,1,0,0,114,101, 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, @@ -410,7 +410,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 109,111,118,101,100,233,0,0,0,115,2,0,0,0,14,8, 114,17,0,0,0,114,75,0,0,0,114,43,0,0,0,41, 1,218,9,118,101,114,98,111,115,105,116,121,99,1,0,0, - 0,0,0,0,0,1,0,0,0,4,0,0,0,7,0,0, + 0,0,0,0,0,1,0,0,0,4,0,0,0,71,0,0, 0,115,58,0,0,0,116,0,106,1,106,2,124,1,107,5, 114,27,124,0,160,3,100,1,161,1,115,15,100,2,124,0, 23,0,125,0,116,4,124,0,106,5,124,2,142,0,116,0, @@ -482,7 +482,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 127,63,64,114,5,0,0,0,218,16,95,114,101,113,117,105, 114,101,115,95,102,114,111,122,101,110,7,1,0,0,114,96, 0,0,0,114,17,0,0,0,114,100,0,0,0,99,2,0, - 0,0,0,0,0,0,0,0,0,0,4,0,0,0,3,0, + 0,0,0,0,0,0,0,0,0,0,4,0,0,0,67,0, 0,0,115,74,0,0,0,100,1,125,2,116,0,160,1,124, 2,116,2,161,2,1,0,116,3,124,1,124,0,131,2,125, 3,124,1,116,4,106,5,118,0,114,33,116,4,106,5,124, @@ -515,7 +515,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 105,109,19,1,0,0,115,16,0,0,0,4,6,12,2,10, 1,10,1,10,1,10,1,10,1,8,2,114,17,0,0,0, 114,111,0,0,0,99,1,0,0,0,0,0,0,0,0,0, - 0,0,8,0,0,0,3,0,0,0,115,194,0,0,0,116, + 0,0,8,0,0,0,67,0,0,0,115,194,0,0,0,116, 0,124,0,100,1,100,2,131,3,125,1,116,0,124,0,100, 3,100,2,131,3,4,0,125,2,114,18,116,1,124,2,131, 1,83,0,116,2,124,1,100,4,131,2,114,39,9,0,124, @@ -554,7 +554,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 172,9,55,7,185,3,61,0,189,16,65,23,7,193,15,6, 65,23,7,193,30,1,65,23,7,193,31,1,55,7,193,32, 1,38,7,114,124,0,0,0,99,0,0,0,0,0,0,0, - 0,0,0,0,0,4,0,0,0,0,0,0,0,115,114,0, + 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, @@ -659,7 +659,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 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, - 0,0,0,0,0,3,0,0,0,2,0,0,0,3,0,0, + 0,0,0,0,0,3,0,0,0,2,0,0,0,67,0,0, 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, 114,16,103,0,110,1,100,0,124,0,95,4,100,1,124,0, @@ -675,7 +675,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 0,0,0,6,2,6,1,6,1,6,1,14,1,6,3,10, 1,114,17,0,0,0,122,19,77,111,100,117,108,101,83,112, 101,99,46,95,95,105,110,105,116,95,95,99,1,0,0,0, - 0,0,0,0,0,0,0,0,6,0,0,0,3,0,0,0, + 0,0,0,0,0,0,0,0,6,0,0,0,67,0,0,0, 115,102,0,0,0,100,1,160,0,124,0,106,1,161,1,100, 2,160,0,124,0,106,2,161,1,103,2,125,1,124,0,106, 3,100,0,117,1,114,26,124,1,160,4,100,3,160,0,124, @@ -697,7 +697,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 18,1,10,1,6,1,8,1,4,255,22,2,114,17,0,0, 0,122,19,77,111,100,117,108,101,83,112,101,99,46,95,95, 114,101,112,114,95,95,99,2,0,0,0,0,0,0,0,0, - 0,0,0,8,0,0,0,3,0,0,0,115,104,0,0,0, + 0,0,0,8,0,0,0,67,0,0,0,115,104,0,0,0, 124,0,106,0,125,2,9,0,124,0,106,1,124,1,106,1, 107,2,111,38,124,0,106,2,124,1,106,2,107,2,111,38, 124,0,106,3,124,1,106,3,107,2,111,38,124,2,124,1, @@ -717,7 +717,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 12,0,0,0,132,34,39,0,167,9,50,7,179,1,50,7, 122,17,77,111,100,117,108,101,83,112,101,99,46,95,95,101, 113,95,95,99,1,0,0,0,0,0,0,0,0,0,0,0, - 3,0,0,0,3,0,0,0,115,58,0,0,0,124,0,106, + 3,0,0,0,67,0,0,0,115,58,0,0,0,124,0,106, 0,100,0,117,0,114,26,124,0,106,1,100,0,117,1,114, 26,124,0,106,2,114,26,116,3,100,0,117,0,114,19,116, 4,130,1,116,3,160,5,124,0,106,1,161,1,124,0,95, @@ -731,12 +731,12 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 1,8,1,4,1,14,1,6,1,114,17,0,0,0,122,17, 77,111,100,117,108,101,83,112,101,99,46,99,97,99,104,101, 100,99,2,0,0,0,0,0,0,0,0,0,0,0,2,0, - 0,0,3,0,0,0,115,10,0,0,0,124,1,124,0,95, + 0,0,67,0,0,0,115,10,0,0,0,124,1,124,0,95, 0,100,0,83,0,114,0,0,0,0,41,1,114,131,0,0, 0,41,2,114,34,0,0,0,114,135,0,0,0,63,63,114, 5,0,0,0,114,135,0,0,0,144,1,0,0,115,2,0, 0,0,10,2,114,17,0,0,0,99,1,0,0,0,0,0, - 0,0,0,0,0,0,3,0,0,0,3,0,0,0,115,32, + 0,0,0,0,0,0,3,0,0,0,67,0,0,0,115,32, 0,0,0,124,0,106,0,100,1,117,0,114,13,124,0,106, 1,160,2,100,2,161,1,100,3,25,0,83,0,124,0,106, 1,83,0,41,4,122,32,84,104,101,32,110,97,109,101,32, @@ -748,13 +748,13 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 6,0,0,0,10,3,16,1,6,2,114,17,0,0,0,122, 17,77,111,100,117,108,101,83,112,101,99,46,112,97,114,101, 110,116,99,1,0,0,0,0,0,0,0,0,0,0,0,1, - 0,0,0,3,0,0,0,115,6,0,0,0,124,0,106,0, + 0,0,0,67,0,0,0,115,6,0,0,0,124,0,106,0, 83,0,114,0,0,0,0,41,1,114,130,0,0,0,114,53, 0,0,0,63,114,5,0,0,0,114,136,0,0,0,156,1, 0,0,115,2,0,0,0,6,2,114,17,0,0,0,122,23, 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, - 0,0,0,0,2,0,0,0,3,0,0,0,115,14,0,0, + 0,0,0,0,2,0,0,0,67,0,0,0,115,14,0,0, 0,116,0,124,1,131,1,124,0,95,1,100,0,83,0,114, 0,0,0,0,41,2,218,4,98,111,111,108,114,130,0,0, 0,41,2,114,34,0,0,0,218,5,118,97,108,117,101,63, @@ -770,7 +770,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 3,10,1,2,7,10,1,4,3,14,1,114,17,0,0,0, 114,125,0,0,0,169,2,114,126,0,0,0,114,128,0,0, 0,99,2,0,0,0,0,0,0,0,2,0,0,0,8,0, - 0,0,3,0,0,0,115,152,0,0,0,116,0,124,1,100, + 0,0,67,0,0,0,115,152,0,0,0,116,0,124,1,100, 1,131,2,114,37,116,1,100,2,117,0,114,11,116,2,130, 1,116,1,106,3,125,4,124,3,100,2,117,0,114,24,124, 4,124,0,124,1,100,3,141,2,83,0,124,3,114,28,103, @@ -799,7 +799,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 2,128,4,3,16,2,2,250,115,15,0,0,0,175,5,53, 0,181,9,65,0,7,193,11,1,65,0,7,114,104,0,0, 0,99,3,0,0,0,0,0,0,0,0,0,0,0,8,0, - 0,0,3,0,0,0,115,50,1,0,0,9,0,124,0,106, + 0,0,67,0,0,0,115,50,1,0,0,9,0,124,0,106, 0,125,3,110,10,35,0,4,0,116,1,121,152,1,0,1, 0,1,0,89,0,110,7,37,0,124,3,100,0,117,1,114, 21,124,3,83,0,124,0,106,2,125,4,124,1,100,0,117, @@ -845,7 +845,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 1,65,20,7,194,22,1,59,7,194,23,1,42,7,194,24, 1,14,7,114,155,0,0,0,70,169,1,218,8,111,118,101, 114,114,105,100,101,99,2,0,0,0,0,0,0,0,1,0, - 0,0,8,0,0,0,3,0,0,0,115,204,1,0,0,124, + 0,0,8,0,0,0,67,0,0,0,115,204,1,0,0,124, 2,115,10,116,0,124,1,100,1,100,0,131,3,100,0,117, 0,114,26,9,0,124,0,106,1,124,1,95,2,110,10,35, 0,4,0,116,3,121,229,1,0,1,0,1,0,89,0,110, @@ -907,7 +907,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 66,59,7,195,33,1,66,30,7,195,34,1,65,63,7,195, 35,1,65,48,7,195,36,1,65,22,7,195,37,1,25,7, 114,161,0,0,0,99,1,0,0,0,0,0,0,0,0,0, - 0,0,3,0,0,0,3,0,0,0,115,82,0,0,0,100, + 0,0,3,0,0,0,67,0,0,0,115,82,0,0,0,100, 1,125,1,116,0,124,0,106,1,100,2,131,2,114,15,124, 0,106,1,160,2,124,0,161,1,125,1,110,10,116,0,124, 0,106,1,100,3,131,2,114,25,116,3,100,4,131,1,130, @@ -930,7 +930,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 18,0,0,0,4,3,12,1,14,3,12,1,8,1,8,2, 10,1,10,1,4,1,114,17,0,0,0,114,165,0,0,0, 99,1,0,0,0,0,0,0,0,0,0,0,0,4,0,0, - 0,3,0,0,0,115,100,0,0,0,124,0,106,0,100,1, + 0,67,0,0,0,115,100,0,0,0,124,0,106,0,100,1, 117,0,114,7,100,2,110,2,124,0,106,0,125,1,124,0, 106,1,100,1,117,0,114,32,124,0,106,2,100,1,117,0, 114,25,100,3,160,3,124,1,161,1,83,0,100,4,160,3, @@ -948,7 +948,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 119,0,0,0,69,2,0,0,115,16,0,0,0,20,3,10, 1,10,1,10,1,14,2,6,2,14,1,16,2,114,17,0, 0,0,114,119,0,0,0,99,2,0,0,0,0,0,0,0, - 0,0,0,0,10,0,0,0,3,0,0,0,115,32,1,0, + 0,0,0,0,10,0,0,0,67,0,0,0,115,32,1,0, 0,124,0,106,0,125,2,116,1,124,2,131,1,53,0,1, 0,116,2,106,3,160,4,124,2,161,1,124,1,117,1,114, 27,100,1,160,5,124,2,161,1,125,3,116,6,124,3,124, @@ -996,7 +996,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 43,2,193,29,14,66,3,3,193,43,15,65,58,9,193,58, 1,66,3,3,194,3,4,66,7,11,194,8,3,66,7,11, 114,106,0,0,0,99,1,0,0,0,0,0,0,0,0,0, - 0,0,8,0,0,0,3,0,0,0,115,22,1,0,0,9, + 0,0,8,0,0,0,67,0,0,0,115,22,1,0,0,9, 0,124,0,106,0,160,1,124,0,106,2,161,1,1,0,110, 25,35,0,1,0,1,0,1,0,124,0,106,2,116,3,106, 4,118,0,114,32,116,3,106,4,160,5,124,0,106,2,161, @@ -1034,7 +1034,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 193,54,3,65,59,0,193,59,7,66,5,7,194,8,1,66, 5,7,194,9,1,65,44,7,194,10,1,65,6,7,114,172, 0,0,0,99,1,0,0,0,0,0,0,0,0,0,0,0, - 11,0,0,0,3,0,0,0,115,248,0,0,0,124,0,106, + 11,0,0,0,67,0,0,0,115,248,0,0,0,124,0,106, 0,100,0,117,1,114,29,116,1,124,0,106,0,100,1,131, 2,115,29,116,2,124,0,106,0,131,1,155,0,100,2,157, 2,125,1,116,3,160,4,124,1,116,5,161,2,1,0,116, @@ -1072,7 +1072,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 65,26,7,193,16,7,65,25,13,193,23,3,65,26,7,193, 26,22,65,53,0,193,53,5,65,58,7,193,59,1,65,25, 13,114,173,0,0,0,99,1,0,0,0,0,0,0,0,0, - 0,0,0,9,0,0,0,3,0,0,0,115,58,0,0,0, + 0,0,0,9,0,0,0,67,0,0,0,115,58,0,0,0, 116,0,124,0,106,1,131,1,53,0,1,0,116,2,124,0, 131,1,2,0,100,1,4,0,4,0,131,3,1,0,83,0, 35,0,49,0,115,21,119,4,37,0,1,0,1,0,1,0, @@ -1094,7 +1094,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 0,197,2,0,0,115,10,0,0,0,12,9,6,1,14,255, 22,128,4,0,115,12,0,0,0,133,4,16,3,144,4,20, 11,149,3,20,11,114,107,0,0,0,99,0,0,0,0,0, - 0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,115, + 0,0,0,0,0,0,0,4,0,0,0,64,0,0,0,115, 140,0,0,0,101,0,90,1,100,0,90,2,100,1,90,3, 100,2,90,4,101,5,100,3,100,4,132,0,131,1,90,6, 101,7,100,20,100,6,100,7,132,1,131,1,90,8,101,7, @@ -1116,7 +1116,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 105,97,116,101,32,116,104,101,32,99,108,97,115,115,46,10, 10,32,32,32,32,122,8,98,117,105,108,116,45,105,110,99, 1,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0, - 3,0,0,0,115,34,0,0,0,116,0,160,1,100,1,116, + 67,0,0,0,115,34,0,0,0,116,0,160,1,100,1,116, 2,161,2,1,0,100,2,124,0,106,3,155,2,100,3,116, 4,106,5,155,0,100,4,157,5,83,0,41,6,250,115,82, 101,116,117,114,110,32,114,101,112,114,32,102,111,114,32,116, @@ -1139,7 +1139,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 0,0,0,6,7,2,1,4,255,22,2,114,17,0,0,0, 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, - 0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,3, + 0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,67, 0,0,0,115,42,0,0,0,124,2,100,0,117,1,114,6, 100,0,83,0,116,0,160,1,124,1,161,1,114,19,116,2, 124,1,124,0,124,0,106,3,100,1,141,3,83,0,100,0, @@ -1152,7 +1152,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 4,1,10,1,16,1,4,2,114,17,0,0,0,122,25,66, 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, - 0,0,0,0,0,4,0,0,0,3,0,0,0,115,42,0, + 0,0,0,0,0,4,0,0,0,67,0,0,0,115,42,0, 0,0,116,0,160,1,100,1,116,2,161,2,1,0,124,0, 160,3,124,1,124,2,161,2,125,3,124,3,100,2,117,1, 114,19,124,3,106,4,83,0,100,2,83,0,41,3,122,175, @@ -1182,7 +1182,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 4,254,12,3,18,1,114,17,0,0,0,122,27,66,117,105, 108,116,105,110,73,109,112,111,114,116,101,114,46,102,105,110, 100,95,109,111,100,117,108,101,99,1,0,0,0,0,0,0, - 0,0,0,0,0,4,0,0,0,3,0,0,0,115,46,0, + 0,0,0,0,0,4,0,0,0,67,0,0,0,115,46,0, 0,0,124,0,106,0,116,1,106,2,118,1,114,17,116,3, 100,1,160,4,124,0,106,0,161,1,124,0,106,0,100,2, 141,2,130,1,116,5,116,6,106,7,124,0,131,2,83,0, @@ -1197,7 +1197,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 17,0,0,0,122,29,66,117,105,108,116,105,110,73,109,112, 111,114,116,101,114,46,99,114,101,97,116,101,95,109,111,100, 117,108,101,99,1,0,0,0,0,0,0,0,0,0,0,0, - 3,0,0,0,3,0,0,0,115,16,0,0,0,116,0,116, + 3,0,0,0,67,0,0,0,115,16,0,0,0,116,0,116, 1,106,2,124,0,131,2,1,0,100,1,83,0,41,2,122, 22,69,120,101,99,32,97,32,98,117,105,108,116,45,105,110, 32,109,111,100,117,108,101,78,41,3,114,75,0,0,0,114, @@ -1207,7 +1207,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 0,0,122,27,66,117,105,108,116,105,110,73,109,112,111,114, 116,101,114,46,101,120,101,99,95,109,111,100,117,108,101,99, 2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0, - 3,0,0,0,243,4,0,0,0,100,1,83,0,41,2,122, + 67,0,0,0,243,4,0,0,0,100,1,83,0,41,2,122, 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, @@ -1217,7 +1217,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 0,243,2,0,0,0,4,4,114,17,0,0,0,122,24,66, 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, - 0,0,0,0,1,0,0,0,3,0,0,0,114,185,0,0, + 0,0,0,0,1,0,0,0,67,0,0,0,114,185,0,0, 0,41,2,122,56,82,101,116,117,114,110,32,78,111,110,101, 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, @@ -1227,7 +1227,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 188,0,0,0,114,17,0,0,0,122,26,66,117,105,108,116, 105,110,73,109,112,111,114,116,101,114,46,103,101,116,95,115, 111,117,114,99,101,99,2,0,0,0,0,0,0,0,0,0, - 0,0,1,0,0,0,3,0,0,0,114,185,0,0,0,41, + 0,0,1,0,0,0,67,0,0,0,114,185,0,0,0,41, 3,122,52,82,101,116,117,114,110,32,70,97,108,115,101,32, 97,115,32,98,117,105,108,116,45,105,110,32,109,111,100,117, 108,101,115,32,97,114,101,32,110,101,118,101,114,32,112,97, @@ -1249,7 +1249,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 1,2,4,2,1,12,1,2,4,2,1,12,1,2,4,2, 1,12,1,12,4,114,17,0,0,0,114,175,0,0,0,99, 0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0, - 0,0,0,0,115,144,0,0,0,101,0,90,1,100,0,90, + 64,0,0,0,115,144,0,0,0,101,0,90,1,100,0,90, 2,100,1,90,3,100,2,90,4,101,5,100,3,100,4,132, 0,131,1,90,6,101,7,100,22,100,6,100,7,132,1,131, 1,90,8,101,7,100,23,100,8,100,9,132,1,131,1,90, @@ -1270,7 +1270,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 110,115,116,97,110,116,105,97,116,101,32,116,104,101,32,99, 108,97,115,115,46,10,10,32,32,32,32,90,6,102,114,111, 122,101,110,99,1,0,0,0,0,0,0,0,0,0,0,0, - 4,0,0,0,3,0,0,0,115,28,0,0,0,116,0,160, + 4,0,0,0,67,0,0,0,115,28,0,0,0,116,0,160, 1,100,1,116,2,161,2,1,0,100,2,160,3,124,0,106, 4,116,5,106,6,161,2,83,0,41,4,114,176,0,0,0, 122,80,70,114,111,122,101,110,73,109,112,111,114,116,101,114, @@ -1286,7 +1286,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 0,0,0,122,26,70,114,111,122,101,110,73,109,112,111,114, 116,101,114,46,109,111,100,117,108,101,95,114,101,112,114,78, 99,4,0,0,0,0,0,0,0,0,0,0,0,5,0,0, - 0,3,0,0,0,115,30,0,0,0,116,0,160,1,124,1, + 0,67,0,0,0,115,30,0,0,0,116,0,160,1,124,1, 161,1,114,13,116,2,124,1,124,0,124,0,106,3,100,1, 141,3,83,0,100,0,83,0,114,178,0,0,0,41,4,114, 65,0,0,0,114,98,0,0,0,114,104,0,0,0,114,151, @@ -1295,7 +1295,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 2,16,1,4,2,114,17,0,0,0,122,24,70,114,111,122, 101,110,73,109,112,111,114,116,101,114,46,102,105,110,100,95, 115,112,101,99,99,3,0,0,0,0,0,0,0,0,0,0, - 0,4,0,0,0,3,0,0,0,115,30,0,0,0,116,0, + 0,4,0,0,0,67,0,0,0,115,30,0,0,0,116,0, 160,1,100,1,116,2,161,2,1,0,116,3,160,4,124,1, 161,1,114,13,124,0,83,0,100,2,83,0,41,3,122,93, 70,105,110,100,32,97,32,102,114,111,122,101,110,32,109,111, @@ -1318,7 +1318,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 254,18,3,114,17,0,0,0,122,26,70,114,111,122,101,110, 73,109,112,111,114,116,101,114,46,102,105,110,100,95,109,111, 100,117,108,101,99,1,0,0,0,0,0,0,0,0,0,0, - 0,1,0,0,0,3,0,0,0,114,185,0,0,0,41,2, + 0,1,0,0,0,67,0,0,0,114,185,0,0,0,41,2, 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, 108,101,32,99,114,101,97,116,105,111,110,46,78,114,23,0, @@ -1327,7 +1327,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 0,0,122,28,70,114,111,122,101,110,73,109,112,111,114,116, 101,114,46,99,114,101,97,116,101,95,109,111,100,117,108,101, 99,1,0,0,0,0,0,0,0,0,0,0,0,4,0,0, - 0,3,0,0,0,115,64,0,0,0,124,0,106,0,106,1, + 0,67,0,0,0,115,64,0,0,0,124,0,106,0,106,1, 125,1,116,2,160,3,124,1,161,1,115,18,116,4,100,1, 160,5,124,1,161,1,124,1,100,2,141,2,130,1,116,6, 116,2,106,7,124,1,131,2,125,2,116,8,124,2,124,0, @@ -1342,7 +1342,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 2,1,6,255,12,2,16,1,114,17,0,0,0,122,26,70, 114,111,122,101,110,73,109,112,111,114,116,101,114,46,101,120, 101,99,95,109,111,100,117,108,101,99,2,0,0,0,0,0, - 0,0,0,0,0,0,3,0,0,0,3,0,0,0,115,10, + 0,0,0,0,0,0,3,0,0,0,67,0,0,0,115,10, 0,0,0,116,0,124,0,124,1,131,2,83,0,41,2,122, 95,76,111,97,100,32,97,32,102,114,111,122,101,110,32,109, 111,100,117,108,101,46,10,10,32,32,32,32,32,32,32,32, @@ -1355,7 +1355,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 0,0,10,8,114,17,0,0,0,122,26,70,114,111,122,101, 110,73,109,112,111,114,116,101,114,46,108,111,97,100,95,109, 111,100,117,108,101,99,2,0,0,0,0,0,0,0,0,0, - 0,0,3,0,0,0,3,0,0,0,243,10,0,0,0,116, + 0,0,3,0,0,0,67,0,0,0,243,10,0,0,0,116, 0,160,1,124,1,161,1,83,0,41,2,122,45,82,101,116, 117,114,110,32,116,104,101,32,99,111,100,101,32,111,98,106, 101,99,116,32,102,111,114,32,116,104,101,32,102,114,111,122, @@ -1365,7 +1365,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 0,10,4,114,17,0,0,0,122,23,70,114,111,122,101,110, 73,109,112,111,114,116,101,114,46,103,101,116,95,99,111,100, 101,99,2,0,0,0,0,0,0,0,0,0,0,0,1,0, - 0,0,3,0,0,0,114,185,0,0,0,41,2,122,54,82, + 0,0,67,0,0,0,114,185,0,0,0,41,2,122,54,82, 101,116,117,114,110,32,78,111,110,101,32,97,115,32,102,114, 111,122,101,110,32,109,111,100,117,108,101,115,32,100,111,32, 110,111,116,32,104,97,118,101,32,115,111,117,114,99,101,32, @@ -1374,7 +1374,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 114,188,0,0,0,114,17,0,0,0,122,25,70,114,111,122, 101,110,73,109,112,111,114,116,101,114,46,103,101,116,95,115, 111,117,114,99,101,99,2,0,0,0,0,0,0,0,0,0, - 0,0,3,0,0,0,3,0,0,0,114,198,0,0,0,41, + 0,0,3,0,0,0,67,0,0,0,114,198,0,0,0,41, 2,122,46,82,101,116,117,114,110,32,84,114,117,101,32,105, 102,32,116,104,101,32,102,114,111,122,101,110,32,109,111,100, 117,108,101,32,105,115,32,97,32,112,97,99,107,97,103,101, @@ -1395,7 +1395,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 1,2,11,10,1,2,3,10,1,2,8,10,1,2,9,2, 1,12,1,2,4,2,1,12,1,2,4,2,1,16,1,114, 17,0,0,0,114,193,0,0,0,99,0,0,0,0,0,0, - 0,0,0,0,0,0,2,0,0,0,0,0,0,0,115,32, + 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, @@ -1403,7 +1403,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 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, 1,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0, - 3,0,0,0,243,12,0,0,0,116,0,160,1,161,0,1, + 67,0,0,0,243,12,0,0,0,116,0,160,1,161,0,1, 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, 46,78,41,2,114,65,0,0,0,114,66,0,0,0,114,53, @@ -1411,7 +1411,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 0,0,243,2,0,0,0,12,2,114,17,0,0,0,122,28, 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, - 0,0,0,0,0,0,0,0,0,2,0,0,0,3,0,0, + 0,0,0,0,0,0,0,0,0,2,0,0,0,67,0,0, 0,114,201,0,0,0,41,2,122,60,82,101,108,101,97,115, 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, @@ -1429,7 +1429,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 0,0,114,200,0,0,0,121,3,0,0,115,8,0,0,0, 8,0,4,2,8,2,12,4,114,17,0,0,0,114,200,0, 0,0,99,3,0,0,0,0,0,0,0,0,0,0,0,5, - 0,0,0,3,0,0,0,115,64,0,0,0,124,1,160,0, + 0,0,0,67,0,0,0,115,64,0,0,0,124,1,160,0, 100,1,124,2,100,2,24,0,161,2,125,3,116,1,124,3, 131,1,124,2,107,0,114,18,116,2,100,3,131,1,130,1, 124,3,100,4,25,0,125,4,124,0,114,30,100,5,160,3, @@ -1450,7 +1450,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 109,101,134,3,0,0,115,10,0,0,0,16,2,12,1,8, 1,8,1,20,1,114,17,0,0,0,114,211,0,0,0,99, 3,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0, - 3,0,0,0,115,60,0,0,0,116,0,124,0,131,1,155, + 67,0,0,0,115,60,0,0,0,116,0,124,0,131,1,155, 0,100,1,157,2,125,3,116,1,160,2,124,3,116,3,161, 2,1,0,124,0,160,4,124,1,124,2,161,2,125,4,124, 4,100,0,117,0,114,25,100,0,83,0,116,5,124,1,124, @@ -1466,7 +1466,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 112,101,99,95,108,101,103,97,99,121,143,3,0,0,115,12, 0,0,0,14,1,12,2,12,1,8,1,4,1,10,1,114, 17,0,0,0,114,213,0,0,0,99,3,0,0,0,0,0, - 0,0,0,0,0,0,10,0,0,0,3,0,0,0,115,30, + 0,0,0,0,0,0,10,0,0,0,67,0,0,0,115,30, 1,0,0,116,0,106,1,125,3,124,3,100,1,117,0,114, 11,116,2,100,2,131,1,130,1,124,3,115,19,116,3,160, 4,100,3,116,5,161,2,1,0,124,0,116,0,106,6,118, @@ -1512,7 +1512,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 17,3,65,16,13,193,40,3,65,44,2,193,44,9,65,57, 9,194,13,1,65,57,9,194,14,1,63,11,114,215,0,0, 0,99,3,0,0,0,0,0,0,0,0,0,0,0,5,0, - 0,0,3,0,0,0,115,110,0,0,0,116,0,124,0,116, + 0,0,67,0,0,0,115,110,0,0,0,116,0,124,0,116, 1,131,2,115,14,116,2,100,1,160,3,116,4,124,0,131, 1,161,1,131,1,130,1,124,2,100,2,107,0,114,22,116, 5,100,3,131,1,130,1,124,2,100,2,107,4,114,41,116, @@ -1543,7 +1543,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 8,255,114,17,0,0,0,114,221,0,0,0,122,16,78,111, 32,109,111,100,117,108,101,32,110,97,109,101,100,32,122,4, 123,33,114,125,99,2,0,0,0,0,0,0,0,0,0,0, - 0,8,0,0,0,3,0,0,0,115,20,1,0,0,100,0, + 0,8,0,0,0,67,0,0,0,115,20,1,0,0,100,0, 125,2,124,0,160,0,100,1,161,1,100,2,25,0,125,3, 124,3,114,64,124,3,116,1,106,2,118,1,114,21,116,3, 124,1,124,3,131,2,1,0,124,0,116,1,106,2,118,0, @@ -1588,7 +1588,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 0,169,22,63,7,193,37,6,65,45,0,193,45,21,66,5, 7,194,8,1,66,5,7,194,9,1,63,7,114,226,0,0, 0,99,2,0,0,0,0,0,0,0,0,0,0,0,9,0, - 0,0,3,0,0,0,115,132,0,0,0,116,0,124,0,131, + 0,0,67,0,0,0,115,132,0,0,0,116,0,124,0,131, 1,53,0,1,0,116,1,106,2,160,3,124,0,116,4,161, 2,125,2,124,2,116,4,117,0,114,27,116,5,124,0,124, 1,131,2,2,0,100,1,4,0,4,0,131,3,1,0,83, @@ -1613,7 +1613,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 2,1,6,1,2,255,12,2,8,2,4,1,115,12,0,0, 0,132,16,34,3,162,4,38,11,167,3,38,11,114,228,0, 0,0,114,26,0,0,0,99,3,0,0,0,0,0,0,0, - 0,0,0,0,4,0,0,0,3,0,0,0,115,42,0,0, + 0,0,0,0,4,0,0,0,67,0,0,0,115,42,0,0, 0,116,0,124,0,124,1,124,2,131,3,1,0,124,2,100, 1,107,4,114,16,116,1,124,0,124,1,124,2,131,3,125, 0,116,2,124,0,116,3,131,2,83,0,41,3,97,50,1, @@ -1643,7 +1643,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 0,0,0,12,9,8,1,12,1,10,1,114,17,0,0,0, 114,229,0,0,0,169,1,218,9,114,101,99,117,114,115,105, 118,101,99,3,0,0,0,0,0,0,0,1,0,0,0,9, - 0,0,0,3,0,0,0,115,216,0,0,0,124,1,68,0, + 0,0,0,67,0,0,0,115,216,0,0,0,124,1,68,0, 93,102,125,4,116,0,124,4,116,1,131,2,115,32,124,3, 114,17,124,0,106,2,100,1,23,0,125,5,110,2,100,2, 125,5,116,3,100,3,124,5,155,0,100,4,116,4,124,4, @@ -1695,7 +1695,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 0,0,0,193,2,5,65,8,2,193,8,7,65,39,9,193, 15,14,65,35,9,193,34,1,65,35,9,193,35,4,65,39, 9,193,43,1,65,39,9,114,234,0,0,0,99,1,0,0, - 0,0,0,0,0,0,0,0,0,7,0,0,0,3,0,0, + 0,0,0,0,0,0,0,0,0,7,0,0,0,67,0,0, 0,115,146,0,0,0,124,0,160,0,100,1,161,1,125,1, 124,0,160,0,100,2,161,1,125,2,124,1,100,3,117,1, 114,41,124,2,100,3,117,1,114,39,124,1,124,2,106,1, @@ -1737,7 +1737,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 4,255,4,1,6,255,4,2,6,254,4,3,8,1,6,1, 6,2,4,2,6,254,8,3,8,1,14,1,4,1,114,17, 0,0,0,114,240,0,0,0,114,23,0,0,0,99,5,0, - 0,0,0,0,0,0,0,0,0,0,5,0,0,0,3,0, + 0,0,0,0,0,0,0,0,0,0,5,0,0,0,67,0, 0,0,115,174,0,0,0,124,4,100,1,107,2,114,9,116, 0,124,0,131,1,125,5,110,18,124,1,100,2,117,1,114, 15,124,1,110,1,105,0,125,6,116,1,124,6,131,1,125, @@ -1792,7 +1792,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 0,115,30,0,0,0,8,11,10,1,16,2,8,1,12,1, 4,1,8,3,18,1,4,1,4,1,26,4,30,3,10,1, 12,1,4,2,114,17,0,0,0,114,243,0,0,0,99,1, - 0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,3, + 0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,67, 0,0,0,115,38,0,0,0,116,0,160,1,124,0,161,1, 125,1,124,1,100,0,117,0,114,15,116,2,100,1,124,0, 23,0,131,1,130,1,116,3,124,1,131,1,83,0,41,2, @@ -1804,7 +1804,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 102,114,111,109,95,110,97,109,101,130,4,0,0,115,8,0, 0,0,10,1,8,1,12,1,8,1,114,17,0,0,0,114, 244,0,0,0,99,2,0,0,0,0,0,0,0,0,0,0, - 0,5,0,0,0,3,0,0,0,115,166,0,0,0,124,1, + 0,5,0,0,0,67,0,0,0,115,166,0,0,0,124,1, 97,0,124,0,97,1,116,2,116,1,131,1,125,2,116,1, 106,3,160,4,161,0,68,0,93,36,92,2,125,3,125,4, 116,5,124,4,124,2,131,2,114,49,124,3,116,1,106,6, @@ -1849,7 +1849,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 18,1,10,1,10,1,6,1,10,1,6,1,2,2,10,1, 10,1,2,128,10,3,8,1,10,1,10,1,10,2,14,1, 4,251,114,17,0,0,0,114,248,0,0,0,99,2,0,0, - 0,0,0,0,0,0,0,0,0,3,0,0,0,3,0,0, + 0,0,0,0,0,0,0,0,0,3,0,0,0,67,0,0, 0,115,38,0,0,0,116,0,124,0,124,1,131,2,1,0, 116,1,106,2,160,3,116,4,161,1,1,0,116,1,106,2, 160,3,116,5,161,1,1,0,100,1,83,0,41,2,122,48, @@ -1862,7 +1862,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 5,0,0,0,218,8,95,105,110,115,116,97,108,108,172,4, 0,0,115,6,0,0,0,10,2,12,2,16,1,114,17,0, 0,0,114,249,0,0,0,99,0,0,0,0,0,0,0,0, - 0,0,0,0,4,0,0,0,3,0,0,0,115,32,0,0, + 0,0,0,0,4,0,0,0,67,0,0,0,115,32,0,0, 0,100,1,100,2,108,0,125,0,124,0,97,1,124,0,160, 2,116,3,106,4,116,5,25,0,161,1,1,0,100,2,83, 0,41,3,122,57,73,110,115,116,97,108,108,32,105,109,112, diff --git a/Python/importlib_external.h b/Python/importlib_external.h index 14398101feff1a..0ff2ed15b9c5f0 100644 --- a/Python/importlib_external.h +++ b/Python/importlib_external.h @@ -1,7 +1,7 @@ /* Auto-generated by Programs/_freeze_importlib.c */ const unsigned char _Py_M__importlib_bootstrap_external[] = { 99,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0, - 0,0,0,0,0,115,250,2,0,0,100,0,90,0,100,1, + 0,64,0,0,0,115,250,2,0,0,100,0,90,0,100,1, 97,1,100,2,100,1,108,2,90,2,100,2,100,1,108,3, 90,3,100,2,100,1,108,4,90,4,100,2,100,1,108,5, 90,5,100,2,100,1,108,6,90,6,101,4,106,7,100,3, @@ -73,7 +73,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 118,101,114,115,105,111,110,32,111,102,32,116,104,105,115,32, 109,111,100,117,108,101,46,10,10,78,233,0,0,0,0,90, 5,119,105,110,51,50,250,1,92,250,1,47,99,1,0,0, - 0,0,0,0,0,0,0,0,0,3,0,0,0,35,0,0, + 0,0,0,0,0,0,0,0,0,3,0,0,0,99,0,0, 0,115,28,0,0,0,129,0,124,0,93,9,125,1,116,0, 124,1,131,1,100,0,107,2,86,0,1,0,113,2,100,1, 83,0,41,2,233,1,0,0,0,78,41,1,218,3,108,101, @@ -83,7 +83,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 101,114,110,97,108,62,218,9,60,103,101,110,101,120,112,114, 62,46,0,0,0,115,4,0,0,0,6,128,22,0,243,0, 0,0,0,114,8,0,0,0,218,0,99,1,0,0,0,0, - 0,0,0,0,0,0,0,4,0,0,0,3,0,0,0,115, + 0,0,0,0,0,0,0,4,0,0,0,67,0,0,0,115, 22,0,0,0,104,0,124,0,93,7,125,1,100,0,124,1, 155,0,157,2,146,2,113,2,83,0,41,1,250,1,58,169, 0,41,2,114,5,0,0,0,218,1,115,63,63,114,7,0, @@ -116,7 +116,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 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, - 0,0,0,0,1,0,0,0,19,0,0,0,243,4,0,0, + 0,0,0,0,1,0,0,0,83,0,0,0,243,4,0,0, 0,100,1,83,0,41,3,122,53,84,114,117,101,32,105,102, 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, @@ -134,7 +134,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 108,97,120,95,99,97,115,101,60,0,0,0,115,16,0,0, 0,12,1,12,1,6,1,4,2,12,2,4,7,8,253,4, 3,114,9,0,0,0,114,30,0,0,0,99,1,0,0,0, - 0,0,0,0,0,0,0,0,4,0,0,0,3,0,0,0, + 0,0,0,0,0,0,0,0,4,0,0,0,67,0,0,0, 115,20,0,0,0,116,0,124,0,131,1,100,1,64,0,160, 1,100,2,100,3,161,2,83,0,41,5,122,42,67,111,110, 118,101,114,116,32,97,32,51,50,45,98,105,116,32,105,110, @@ -145,7 +145,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 115,41,1,218,1,120,63,114,7,0,0,0,218,12,95,112, 97,99,107,95,117,105,110,116,51,50,79,0,0,0,114,23, 0,0,0,114,9,0,0,0,114,37,0,0,0,99,1,0, - 0,0,0,0,0,0,0,0,0,0,4,0,0,0,3,0, + 0,0,0,0,0,0,0,0,0,0,4,0,0,0,67,0, 0,0,243,28,0,0,0,116,0,124,0,131,1,100,1,107, 2,115,8,74,0,130,1,116,1,160,2,124,0,100,2,161, 2,83,0,41,4,122,47,67,111,110,118,101,114,116,32,52, @@ -157,7 +157,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 97,63,114,7,0,0,0,218,14,95,117,110,112,97,99,107, 95,117,105,110,116,51,50,84,0,0,0,243,4,0,0,0, 16,2,12,1,114,9,0,0,0,114,43,0,0,0,99,1, - 0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,3, + 0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,67, 0,0,0,114,38,0,0,0,41,4,122,47,67,111,110,118, 101,114,116,32,50,32,98,121,116,101,115,32,105,110,32,108, 105,116,116,108,101,45,101,110,100,105,97,110,32,116,111,32, @@ -166,7 +166,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 63,114,7,0,0,0,218,14,95,117,110,112,97,99,107,95, 117,105,110,116,49,54,89,0,0,0,114,44,0,0,0,114, 9,0,0,0,114,46,0,0,0,99,0,0,0,0,0,0, - 0,0,0,0,0,0,4,0,0,0,7,0,0,0,115,228, + 0,0,0,0,0,0,4,0,0,0,71,0,0,0,115,228, 0,0,0,124,0,115,4,100,1,83,0,116,0,124,0,131, 1,100,2,107,2,114,14,124,0,100,3,25,0,83,0,100, 1,125,1,103,0,125,2,116,1,116,2,106,3,124,0,131, @@ -185,7 +185,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 99,101,109,101,110,116,32,102,111,114,32,111,115,46,112,97, 116,104,46,106,111,105,110,40,41,46,114,10,0,0,0,114, 3,0,0,0,114,0,0,0,0,114,11,0,0,0,99,1, - 0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,19, + 0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,83, 0,0,0,243,26,0,0,0,103,0,124,0,93,9,125,1, 124,1,114,2,124,1,160,0,116,1,161,1,145,2,113,2, 83,0,114,12,0,0,0,169,2,218,6,114,115,116,114,105, @@ -210,11 +210,11 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 4,1,20,1,20,1,14,1,12,1,10,1,16,1,4,3, 8,1,12,2,8,2,12,1,14,1,20,1,8,2,14,1, 114,9,0,0,0,114,67,0,0,0,99,0,0,0,0,0, - 0,0,0,0,0,0,0,4,0,0,0,7,0,0,0,115, + 0,0,0,0,0,0,0,4,0,0,0,71,0,0,0,115, 20,0,0,0,116,0,160,1,100,1,100,2,132,0,124,0, 68,0,131,1,161,1,83,0,41,4,114,47,0,0,0,99, 1,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0, - 19,0,0,0,114,48,0,0,0,114,12,0,0,0,114,49, + 83,0,0,0,114,48,0,0,0,114,12,0,0,0,114,49, 0,0,0,41,2,114,5,0,0,0,218,4,112,97,114,116, 63,63,114,7,0,0,0,114,53,0,0,0,128,0,0,0, 115,6,0,0,0,6,0,6,1,14,255,114,9,0,0,0, @@ -245,7 +245,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 116,104,95,115,112,108,105,116,132,0,0,0,115,8,0,0, 0,22,2,8,1,8,1,28,1,114,9,0,0,0,114,73, 0,0,0,99,1,0,0,0,0,0,0,0,0,0,0,0, - 3,0,0,0,3,0,0,0,115,10,0,0,0,116,0,160, + 3,0,0,0,67,0,0,0,115,10,0,0,0,116,0,160, 1,124,0,161,1,83,0,41,2,122,126,83,116,97,116,32, 116,104,101,32,112,97,116,104,46,10,10,32,32,32,32,77, 97,100,101,32,97,32,115,101,112,97,114,97,116,101,32,102, @@ -259,7 +259,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 7,0,0,0,218,10,95,112,97,116,104,95,115,116,97,116, 140,0,0,0,115,2,0,0,0,10,7,114,9,0,0,0, 114,75,0,0,0,99,2,0,0,0,0,0,0,0,0,0, - 0,0,8,0,0,0,3,0,0,0,115,50,0,0,0,9, + 0,0,8,0,0,0,67,0,0,0,115,50,0,0,0,9, 0,116,0,124,0,131,1,125,2,110,11,35,0,4,0,116, 1,121,24,1,0,1,0,1,0,89,0,100,1,83,0,37, 0,124,2,106,2,100,2,64,0,124,1,107,2,83,0,119, @@ -275,7 +275,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 0,0,0,2,2,10,1,2,128,12,1,6,1,2,128,14, 1,2,254,115,12,0,0,0,129,4,6,0,134,7,16,7, 152,1,16,7,114,79,0,0,0,99,1,0,0,0,0,0, - 0,0,0,0,0,0,3,0,0,0,3,0,0,0,115,10, + 0,0,0,0,0,0,3,0,0,0,67,0,0,0,115,10, 0,0,0,116,0,124,0,100,1,131,2,83,0,41,3,122, 31,82,101,112,108,97,99,101,109,101,110,116,32,102,111,114, 32,111,115,46,112,97,116,104,46,105,115,102,105,108,101,46, @@ -283,7 +283,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 0,0,63,114,7,0,0,0,218,12,95,112,97,116,104,95, 105,115,102,105,108,101,159,0,0,0,243,2,0,0,0,10, 2,114,9,0,0,0,114,80,0,0,0,99,1,0,0,0, - 0,0,0,0,0,0,0,0,3,0,0,0,3,0,0,0, + 0,0,0,0,0,0,0,0,3,0,0,0,67,0,0,0, 115,22,0,0,0,124,0,115,6,116,0,160,1,161,0,125, 0,116,2,124,0,100,1,131,2,83,0,41,3,122,30,82, 101,112,108,97,99,101,109,101,110,116,32,102,111,114,32,111, @@ -293,7 +293,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 0,0,218,11,95,112,97,116,104,95,105,115,100,105,114,164, 0,0,0,115,6,0,0,0,4,2,8,1,10,1,114,9, 0,0,0,114,83,0,0,0,99,1,0,0,0,0,0,0, - 0,0,0,0,0,4,0,0,0,3,0,0,0,115,62,0, + 0,0,0,0,0,4,0,0,0,67,0,0,0,115,62,0, 0,0,124,0,115,4,100,1,83,0,116,0,160,1,124,0, 161,1,100,2,25,0,160,2,100,3,100,4,161,2,125,1, 116,3,124,1,131,1,100,5,107,4,111,30,124,1,160,4, @@ -308,13 +308,13 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 0,0,0,218,11,95,112,97,116,104,95,105,115,97,98,115, 172,0,0,0,115,8,0,0,0,4,2,4,1,22,1,32, 1,114,9,0,0,0,114,86,0,0,0,99,1,0,0,0, - 0,0,0,0,0,0,0,0,3,0,0,0,3,0,0,0, + 0,0,0,0,0,0,0,0,3,0,0,0,67,0,0,0, 115,10,0,0,0,124,0,160,0,116,1,161,1,83,0,41, 2,114,84,0,0,0,78,41,2,114,27,0,0,0,114,51, 0,0,0,114,74,0,0,0,63,114,7,0,0,0,114,86, 0,0,0,180,0,0,0,114,81,0,0,0,114,9,0,0, 0,233,182,1,0,0,99,3,0,0,0,0,0,0,0,0, - 0,0,0,11,0,0,0,3,0,0,0,115,178,0,0,0, + 0,0,0,11,0,0,0,67,0,0,0,115,178,0,0,0, 100,1,160,0,124,0,116,1,124,0,131,1,161,2,125,3, 116,2,160,3,124,3,116,2,106,4,116,2,106,5,66,0, 116,2,106,6,66,0,124,2,100,2,64,0,161,3,125,4, @@ -361,7 +361,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 3,46,112,121,122,4,46,112,121,119,122,4,46,112,121,99, 41,1,218,12,111,112,116,105,109,105,122,97,116,105,111,110, 99,2,0,0,0,0,0,0,0,1,0,0,0,5,0,0, - 0,3,0,0,0,115,80,1,0,0,124,1,100,1,117,1, + 0,67,0,0,0,115,80,1,0,0,124,1,100,1,117,1, 114,26,116,0,160,1,100,2,116,2,161,2,1,0,124,2, 100,1,117,1,114,20,100,3,125,3,116,3,124,3,131,1, 130,1,124,1,114,24,100,4,110,1,100,5,125,2,116,4, @@ -476,7 +476,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 8,1,14,1,14,1,12,1,10,1,8,9,14,1,24,5, 12,1,2,4,4,1,8,1,2,1,4,253,12,5,114,9, 0,0,0,114,121,0,0,0,99,1,0,0,0,0,0,0, - 0,0,0,0,0,5,0,0,0,3,0,0,0,115,40,1, + 0,0,0,0,0,5,0,0,0,67,0,0,0,115,40,1, 0,0,116,0,106,1,106,2,100,1,117,0,114,10,116,3, 100,2,131,1,130,1,116,4,160,5,124,0,161,1,125,0, 116,6,124,0,131,1,92,2,125,1,125,2,100,3,125,3, @@ -556,7 +556,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 1,2,1,8,255,10,2,8,1,14,1,8,1,16,1,10, 1,4,1,2,1,8,255,16,2,8,1,16,1,14,2,18, 1,114,9,0,0,0,114,128,0,0,0,99,1,0,0,0, - 0,0,0,0,0,0,0,0,9,0,0,0,3,0,0,0, + 0,0,0,0,0,0,0,0,9,0,0,0,67,0,0,0, 115,126,0,0,0,116,0,124,0,131,1,100,1,107,2,114, 8,100,2,83,0,124,0,160,1,100,3,161,1,92,3,125, 1,125,2,125,3,124,1,114,28,124,3,160,2,161,0,100, @@ -590,7 +590,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 4,1,2,1,10,1,2,128,16,1,16,1,2,128,16,1, 2,254,115,12,0,0,0,159,4,36,0,164,15,53,7,190, 1,53,7,114,135,0,0,0,99,1,0,0,0,0,0,0, - 0,0,0,0,0,8,0,0,0,3,0,0,0,115,70,0, + 0,0,0,0,0,8,0,0,0,67,0,0,0,115,70,0, 0,0,124,0,160,0,116,1,116,2,131,1,161,1,114,23, 9,0,116,3,124,0,131,1,83,0,35,0,4,0,116,4, 121,34,1,0,1,0,1,0,89,0,100,0,83,0,37,0, @@ -603,7 +603,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 0,0,14,1,2,1,8,1,2,128,12,1,6,1,2,128, 14,1,4,1,4,2,2,251,115,12,0,0,0,136,3,12, 0,140,7,22,7,162,1,22,7,114,137,0,0,0,99,1, - 0,0,0,0,0,0,0,0,0,0,0,8,0,0,0,3, + 0,0,0,0,0,0,0,0,0,0,0,8,0,0,0,67, 0,0,0,115,52,0,0,0,9,0,116,0,124,0,131,1, 106,1,125,1,110,12,35,0,4,0,116,2,121,25,1,0, 1,0,1,0,100,1,125,1,89,0,110,1,37,0,124,1, @@ -658,7 +658,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 0,0,0,122,40,95,99,104,101,99,107,95,110,97,109,101, 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, - 0,0,0,0,0,0,0,0,0,0,7,0,0,0,19,0, + 0,0,0,0,0,0,0,0,0,0,7,0,0,0,83,0, 0,0,115,56,0,0,0,100,1,68,0,93,16,125,2,116, 0,124,1,124,2,131,2,114,18,116,1,124,0,124,2,116, 2,124,1,124,2,131,2,131,3,1,0,113,2,124,0,106, @@ -681,7 +681,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 101,99,107,95,110,97,109,101,26,2,0,0,115,12,0,0, 0,14,8,8,10,8,1,8,2,10,6,4,1,114,9,0, 0,0,114,159,0,0,0,99,2,0,0,0,0,0,0,0, - 0,0,0,0,6,0,0,0,3,0,0,0,115,72,0,0, + 0,0,0,0,6,0,0,0,67,0,0,0,115,72,0,0, 0,116,0,160,1,100,1,116,2,161,2,1,0,124,0,160, 3,124,1,161,1,92,2,125,2,125,3,124,2,100,2,117, 0,114,34,116,4,124,3,131,1,114,34,100,3,125,4,116, @@ -716,7 +716,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 115,104,105,109,57,2,0,0,115,16,0,0,0,6,7,2, 2,4,254,14,6,16,1,4,1,22,1,4,1,114,9,0, 0,0,114,166,0,0,0,99,3,0,0,0,0,0,0,0, - 0,0,0,0,4,0,0,0,3,0,0,0,115,166,0,0, + 0,0,0,0,4,0,0,0,67,0,0,0,115,166,0,0, 0,124,0,100,1,100,2,133,2,25,0,125,3,124,3,116, 0,107,3,114,32,100,3,124,1,155,2,100,4,124,3,155, 2,157,4,125,4,116,1,160,2,100,5,124,4,161,2,1, @@ -784,7 +784,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 0,0,12,16,8,1,16,1,12,1,16,1,12,1,10,1, 12,1,8,1,16,1,8,2,16,1,16,1,4,1,114,9, 0,0,0,114,175,0,0,0,99,5,0,0,0,0,0,0, - 0,0,0,0,0,4,0,0,0,3,0,0,0,115,124,0, + 0,0,0,0,0,4,0,0,0,67,0,0,0,115,124,0, 0,0,116,0,124,0,100,1,100,2,133,2,25,0,131,1, 124,1,100,3,64,0,107,3,114,31,100,4,124,3,155,2, 157,2,125,5,116,1,160,2,100,5,124,5,161,2,1,0, @@ -838,7 +838,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 115,116,97,109,112,95,112,121,99,110,2,0,0,115,18,0, 0,0,24,19,10,1,12,1,16,1,8,1,22,1,2,255, 22,2,8,254,114,9,0,0,0,114,179,0,0,0,99,4, - 0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,3, + 0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,67, 0,0,0,115,42,0,0,0,124,0,100,1,100,2,133,2, 25,0,124,1,107,3,114,19,116,0,100,3,124,2,155,2, 157,2,102,1,105,0,124,3,164,1,142,1,130,1,100,4, @@ -884,7 +884,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 95,104,97,115,104,95,112,121,99,138,2,0,0,115,14,0, 0,0,16,17,2,1,8,1,4,255,2,2,6,254,4,255, 114,9,0,0,0,114,181,0,0,0,99,4,0,0,0,0, - 0,0,0,0,0,0,0,5,0,0,0,3,0,0,0,115, + 0,0,0,0,0,0,0,5,0,0,0,67,0,0,0,115, 76,0,0,0,116,0,160,1,124,0,161,1,125,4,116,2, 124,4,116,3,131,2,114,28,116,4,160,5,100,1,124,2, 161,2,1,0,124,3,100,2,117,1,114,26,116,6,160,7, @@ -908,7 +908,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 111,100,101,162,2,0,0,115,18,0,0,0,10,2,10,1, 12,1,8,1,12,1,4,1,10,2,4,1,6,255,114,9, 0,0,0,114,188,0,0,0,99,3,0,0,0,0,0,0, - 0,0,0,0,0,5,0,0,0,3,0,0,0,115,70,0, + 0,0,0,0,0,5,0,0,0,67,0,0,0,115,70,0, 0,0,116,0,116,1,131,1,125,3,124,3,160,2,116,3, 100,1,131,1,161,1,1,0,124,3,160,2,116,3,124,1, 131,1,161,1,1,0,124,3,160,2,116,3,124,2,131,1, @@ -926,7 +926,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 99,175,2,0,0,115,12,0,0,0,8,2,14,1,14,1, 14,1,16,1,4,1,114,9,0,0,0,114,193,0,0,0, 84,99,3,0,0,0,0,0,0,0,0,0,0,0,5,0, - 0,0,3,0,0,0,115,80,0,0,0,116,0,116,1,131, + 0,0,67,0,0,0,115,80,0,0,0,116,0,116,1,131, 1,125,3,100,1,124,2,100,1,62,0,66,0,125,4,124, 3,160,2,116,3,124,4,131,1,161,1,1,0,116,4,124, 1,131,1,100,2,107,2,115,25,74,0,130,1,124,3,160, @@ -944,7 +944,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 99,185,2,0,0,115,14,0,0,0,8,2,12,1,14,1, 16,1,10,1,16,1,4,1,114,9,0,0,0,114,194,0, 0,0,99,1,0,0,0,0,0,0,0,0,0,0,0,6, - 0,0,0,3,0,0,0,115,62,0,0,0,100,1,100,2, + 0,0,0,67,0,0,0,115,62,0,0,0,100,1,100,2, 108,0,125,1,116,1,160,2,124,0,161,1,106,3,125,2, 124,1,160,4,124,2,161,1,125,3,116,1,160,5,100,2, 100,3,161,2,125,4,124,4,160,6,124,0,160,6,124,3, @@ -973,7 +973,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 0,0,0,169,2,114,163,0,0,0,218,26,115,117,98,109, 111,100,117,108,101,95,115,101,97,114,99,104,95,108,111,99, 97,116,105,111,110,115,99,2,0,0,0,0,0,0,0,2, - 0,0,0,8,0,0,0,3,0,0,0,115,60,1,0,0, + 0,0,0,8,0,0,0,67,0,0,0,115,60,1,0,0, 124,1,100,1,117,0,114,29,100,2,125,1,116,0,124,2, 100,3,131,2,114,28,9,0,124,2,160,1,124,0,161,1, 125,1,110,39,35,0,4,0,116,2,121,157,1,0,1,0, @@ -1044,7 +1044,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 146,7,27,7,167,7,47,0,175,7,56,7,193,45,5,65, 51,0,193,51,7,65,60,7,194,27,1,65,60,7,194,28, 1,56,7,194,29,1,27,7,114,212,0,0,0,99,0,0, - 0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0, + 0,0,0,0,0,0,0,0,0,0,4,0,0,0,64,0, 0,0,115,88,0,0,0,101,0,90,1,100,0,90,2,100, 1,90,3,100,2,90,4,100,3,90,5,101,6,111,15,100, 4,101,7,118,0,90,8,101,9,100,5,100,6,132,0,131, @@ -1066,7 +1066,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 77,111,100,117,108,101,115,92,123,102,117,108,108,110,97,109, 101,125,92,68,101,98,117,103,122,6,95,100,46,112,121,100, 99,1,0,0,0,0,0,0,0,0,0,0,0,8,0,0, - 0,3,0,0,0,115,52,0,0,0,9,0,116,0,160,1, + 0,67,0,0,0,115,52,0,0,0,9,0,116,0,160,1, 116,0,106,2,124,0,161,2,83,0,35,0,4,0,116,3, 121,25,1,0,1,0,1,0,116,0,160,1,116,0,106,4, 124,0,161,2,6,0,89,0,83,0,37,0,119,0,114,69, @@ -1081,7 +1081,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 7,153,1,24,7,122,36,87,105,110,100,111,119,115,82,101, 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, - 0,0,0,0,0,0,0,0,9,0,0,0,3,0,0,0, + 0,0,0,0,0,0,0,0,9,0,0,0,67,0,0,0, 115,136,0,0,0,124,0,106,0,114,7,124,0,106,1,125, 2,110,3,124,0,106,2,125,2,124,2,160,3,124,1,100, 1,116,4,106,5,100,0,100,2,133,2,25,0,22,0,100, @@ -1113,7 +1113,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 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, 115,116,114,121,78,99,4,0,0,0,0,0,0,0,0,0, - 0,0,8,0,0,0,3,0,0,0,115,122,0,0,0,124, + 0,0,8,0,0,0,67,0,0,0,115,122,0,0,0,124, 0,160,0,124,1,161,1,125,4,124,4,100,0,117,0,114, 11,100,0,83,0,9,0,116,1,124,4,131,1,1,0,110, 11,35,0,4,0,116,2,121,60,1,0,1,0,1,0,89, @@ -1136,7 +1136,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 0,140,4,17,0,145,7,27,7,188,1,27,7,122,31,87, 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, - 0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,3, + 0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,67, 0,0,0,115,42,0,0,0,116,0,160,1,100,1,116,2, 161,2,1,0,124,0,160,3,124,1,124,2,161,2,125,3, 124,3,100,2,117,1,114,19,124,3,106,4,83,0,100,2, @@ -1175,7 +1175,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 0,4,2,2,3,2,255,2,4,2,255,12,3,2,2,10, 1,2,6,10,1,2,14,12,1,2,15,16,1,114,9,0, 0,0,114,213,0,0,0,99,0,0,0,0,0,0,0,0, - 0,0,0,0,2,0,0,0,0,0,0,0,115,48,0,0, + 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, @@ -1186,7 +1186,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 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, - 0,0,0,0,4,0,0,0,3,0,0,0,115,64,0,0, + 0,0,0,0,4,0,0,0,67,0,0,0,115,64,0,0, 0,116,0,124,0,160,1,124,1,161,1,131,1,100,1,25, 0,125,2,124,2,160,2,100,2,100,1,161,2,100,3,25, 0,125,3,124,1,160,3,100,2,161,1,100,4,25,0,125, @@ -1211,7 +1211,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 16,1,114,9,0,0,0,122,24,95,76,111,97,100,101,114, 66,97,115,105,99,115,46,105,115,95,112,97,99,107,97,103, 101,99,2,0,0,0,0,0,0,0,0,0,0,0,1,0, - 0,0,3,0,0,0,114,24,0,0,0,169,2,122,42,85, + 0,0,67,0,0,0,114,24,0,0,0,169,2,122,42,85, 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, 99,114,101,97,116,105,111,110,46,78,114,12,0,0,0,169, @@ -1220,7 +1220,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 101,110,3,0,0,243,2,0,0,0,4,0,114,9,0,0, 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, - 0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,3, + 0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,67, 0,0,0,115,56,0,0,0,124,0,160,0,124,1,106,1, 161,1,125,2,124,2,100,1,117,0,114,18,116,2,100,2, 160,3,124,1,106,1,161,1,131,1,130,1,116,4,160,5, @@ -1241,7 +1241,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 20,2,114,9,0,0,0,122,25,95,76,111,97,100,101,114, 66,97,115,105,99,115,46,101,120,101,99,95,109,111,100,117, 108,101,99,2,0,0,0,0,0,0,0,0,0,0,0,4, - 0,0,0,3,0,0,0,115,12,0,0,0,116,0,160,1, + 0,0,0,67,0,0,0,115,12,0,0,0,116,0,160,1, 124,0,124,1,161,2,83,0,41,2,122,26,84,104,105,115, 32,109,101,116,104,111,100,32,105,115,32,100,101,112,114,101, 99,97,116,101,100,46,78,41,2,114,158,0,0,0,218,17, @@ -1257,14 +1257,14 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 0,114,234,0,0,0,97,3,0,0,115,12,0,0,0,8, 0,4,2,8,3,8,8,8,3,12,8,114,9,0,0,0, 114,234,0,0,0,99,0,0,0,0,0,0,0,0,0,0, - 0,0,3,0,0,0,0,0,0,0,115,74,0,0,0,101, + 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, 11,100,12,156,1,100,13,100,14,132,2,90,8,100,15,100, 16,132,0,90,9,100,17,83,0,41,18,218,12,83,111,117, 114,99,101,76,111,97,100,101,114,99,2,0,0,0,0,0, - 0,0,0,0,0,0,1,0,0,0,3,0,0,0,115,4, + 0,0,0,0,0,0,1,0,0,0,67,0,0,0,115,4, 0,0,0,116,0,130,1,41,2,122,165,79,112,116,105,111, 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, @@ -1282,7 +1282,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 4,6,114,9,0,0,0,122,23,83,111,117,114,99,101,76, 111,97,100,101,114,46,112,97,116,104,95,109,116,105,109,101, 99,2,0,0,0,0,0,0,0,0,0,0,0,4,0,0, - 0,3,0,0,0,115,14,0,0,0,100,1,124,0,160,0, + 0,67,0,0,0,115,14,0,0,0,100,1,124,0,160,0, 124,1,161,1,105,1,83,0,41,3,97,158,1,0,0,79, 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, @@ -1315,7 +1315,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 116,115,137,3,0,0,115,2,0,0,0,14,12,114,9,0, 0,0,122,23,83,111,117,114,99,101,76,111,97,100,101,114, 46,112,97,116,104,95,115,116,97,116,115,99,4,0,0,0, - 0,0,0,0,0,0,0,0,4,0,0,0,3,0,0,0, + 0,0,0,0,0,0,0,0,4,0,0,0,67,0,0,0, 115,12,0,0,0,124,0,160,0,124,2,124,3,161,2,83, 0,41,2,122,228,79,112,116,105,111,110,97,108,32,109,101, 116,104,111,100,32,119,104,105,99,104,32,119,114,105,116,101, @@ -1339,7 +1339,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 0,115,2,0,0,0,12,8,114,9,0,0,0,122,28,83, 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, - 0,0,0,0,0,0,0,0,1,0,0,0,3,0,0,0, + 0,0,0,0,0,0,0,0,1,0,0,0,67,0,0,0, 114,24,0,0,0,41,2,122,150,79,112,116,105,111,110,97, 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, @@ -1355,7 +1355,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 0,0,0,161,3,0,0,114,239,0,0,0,114,9,0,0, 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, - 0,0,0,0,0,8,0,0,0,3,0,0,0,115,70,0, + 0,0,0,0,0,8,0,0,0,67,0,0,0,115,70,0, 0,0,124,0,160,0,124,1,161,1,125,2,9,0,124,0, 160,1,124,2,161,1,125,3,116,4,124,3,131,1,83,0, 35,0,4,0,116,2,121,34,1,0,125,4,1,0,116,3, @@ -1379,7 +1379,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 117,114,99,101,76,111,97,100,101,114,46,103,101,116,95,115, 111,117,114,99,101,114,130,0,0,0,41,1,218,9,95,111, 112,116,105,109,105,122,101,99,3,0,0,0,0,0,0,0, - 1,0,0,0,9,0,0,0,3,0,0,0,115,22,0,0, + 1,0,0,0,9,0,0,0,67,0,0,0,115,22,0,0, 0,116,0,160,1,116,2,124,1,124,2,100,1,100,2,124, 3,100,3,166,6,83,0,41,5,122,130,82,101,116,117,114, 110,32,116,104,101,32,99,111,100,101,32,111,98,106,101,99, @@ -1399,7 +1399,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 0,115,6,0,0,0,12,5,4,1,6,255,114,9,0,0, 0,122,27,83,111,117,114,99,101,76,111,97,100,101,114,46, 115,111,117,114,99,101,95,116,111,95,99,111,100,101,99,2, - 0,0,0,0,0,0,0,0,0,0,0,9,0,0,0,3, + 0,0,0,0,0,0,0,0,0,0,0,9,0,0,0,67, 0,0,0,115,28,2,0,0,124,0,160,0,124,1,161,1, 125,2,100,1,125,3,100,1,125,4,100,1,125,5,100,2, 125,6,100,3,125,7,9,0,116,1,124,2,131,1,125,8, @@ -1514,7 +1514,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 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, - 0,0,0,0,0,0,0,2,0,0,0,3,0,0,0,115, + 0,0,0,0,0,0,0,2,0,0,0,67,0,0,0,115, 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, @@ -1526,7 +1526,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 0,0,114,235,0,0,0,20,4,0,0,115,4,0,0,0, 6,3,10,1,114,9,0,0,0,122,19,70,105,108,101,76, 111,97,100,101,114,46,95,95,105,110,105,116,95,95,99,2, - 0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,3, + 0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,67, 0,0,0,243,24,0,0,0,124,0,106,0,124,1,106,0, 107,2,111,11,124,0,106,1,124,1,106,1,107,2,83,0, 114,69,0,0,0,169,2,218,9,95,95,99,108,97,115,115, @@ -1535,7 +1535,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 101,113,95,95,26,4,0,0,243,6,0,0,0,12,1,10, 1,2,255,114,9,0,0,0,122,17,70,105,108,101,76,111, 97,100,101,114,46,95,95,101,113,95,95,99,1,0,0,0, - 0,0,0,0,0,0,0,0,3,0,0,0,3,0,0,0, + 0,0,0,0,0,0,0,0,3,0,0,0,67,0,0,0, 243,20,0,0,0,116,0,124,0,106,1,131,1,116,0,124, 0,106,2,131,1,65,0,83,0,114,69,0,0,0,169,3, 218,4,104,97,115,104,114,141,0,0,0,114,65,0,0,0, @@ -1558,7 +1558,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 33,4,0,0,115,2,0,0,0,16,10,114,9,0,0,0, 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, - 0,0,0,0,0,1,0,0,0,3,0,0,0,243,6,0, + 0,0,0,0,0,1,0,0,0,67,0,0,0,243,6,0, 0,0,124,0,106,0,83,0,169,2,122,58,82,101,116,117, 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, @@ -1568,7 +1568,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 0,243,2,0,0,0,6,3,114,9,0,0,0,122,23,70, 105,108,101,76,111,97,100,101,114,46,103,101,116,95,102,105, 108,101,110,97,109,101,99,2,0,0,0,0,0,0,0,0, - 0,0,0,9,0,0,0,3,0,0,0,115,136,0,0,0, + 0,0,0,9,0,0,0,67,0,0,0,115,136,0,0,0, 116,0,124,0,116,1,116,2,102,2,131,2,114,38,116,3, 160,4,116,5,124,1,131,1,161,1,53,0,125,2,124,2, 160,6,161,0,2,0,100,1,4,0,4,0,131,3,1,0, @@ -1592,7 +1592,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 29,11,158,3,29,11,172,4,55,3,183,4,59,11,188,3, 59,11,122,19,70,105,108,101,76,111,97,100,101,114,46,103, 101,116,95,100,97,116,97,99,2,0,0,0,0,0,0,0, - 0,0,0,0,2,0,0,0,3,0,0,0,115,20,0,0, + 0,0,0,0,2,0,0,0,67,0,0,0,115,20,0,0, 0,100,1,100,2,108,0,109,1,125,2,1,0,124,2,124, 0,131,1,83,0,41,3,78,114,0,0,0,0,41,1,218, 10,70,105,108,101,82,101,97,100,101,114,41,2,218,17,105, @@ -1613,7 +1613,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 2,8,3,8,6,8,4,2,3,14,1,2,11,10,1,8, 4,2,9,18,1,114,9,0,0,0,114,10,1,0,0,99, 0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0, - 0,0,0,0,115,46,0,0,0,101,0,90,1,100,0,90, + 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, @@ -1622,7 +1622,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 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, - 0,0,0,0,0,0,0,0,3,0,0,0,3,0,0,0, + 0,0,0,0,0,0,0,0,3,0,0,0,67,0,0,0, 115,22,0,0,0,116,0,124,1,131,1,125,2,124,2,106, 1,124,2,106,2,100,1,156,2,83,0,41,3,122,33,82, 101,116,117,114,110,32,116,104,101,32,109,101,116,97,100,97, @@ -1635,7 +1635,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 14,1,114,9,0,0,0,122,27,83,111,117,114,99,101,70, 105,108,101,76,111,97,100,101,114,46,112,97,116,104,95,115, 116,97,116,115,99,4,0,0,0,0,0,0,0,0,0,0, - 0,6,0,0,0,3,0,0,0,115,24,0,0,0,116,0, + 0,6,0,0,0,67,0,0,0,115,24,0,0,0,116,0, 124,1,131,1,125,4,124,0,160,1,124,2,124,3,124,4, 100,1,166,3,83,0,41,2,78,169,1,218,5,95,109,111, 100,101,41,2,114,139,0,0,0,114,252,0,0,0,41,5, @@ -1646,7 +1646,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 99,101,70,105,108,101,76,111,97,100,101,114,46,95,99,97, 99,104,101,95,98,121,116,101,99,111,100,101,114,87,0,0, 0,114,34,1,0,0,99,3,0,0,0,0,0,0,0,1, - 0,0,0,9,0,0,0,3,0,0,0,115,250,0,0,0, + 0,0,0,9,0,0,0,67,0,0,0,115,250,0,0,0, 116,0,124,1,131,1,92,2,125,4,125,5,103,0,125,6, 124,4,114,31,116,1,124,4,131,1,115,31,116,0,124,4, 131,1,92,2,125,4,125,7,124,6,160,2,124,7,161,1, @@ -1693,7 +1693,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 1,0,0,65,4,0,0,115,10,0,0,0,8,0,4,2, 8,2,8,5,18,5,114,9,0,0,0,114,32,1,0,0, 99,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0, - 0,0,0,0,0,115,32,0,0,0,101,0,90,1,100,0, + 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, @@ -1701,7 +1701,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 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, 46,99,2,0,0,0,0,0,0,0,0,0,0,0,5,0, - 0,0,3,0,0,0,115,68,0,0,0,124,0,160,0,124, + 0,0,67,0,0,0,115,68,0,0,0,124,0,160,0,124, 1,161,1,125,2,124,0,160,1,124,2,161,1,125,3,124, 1,124,2,100,1,156,2,125,4,116,2,124,3,124,1,124, 4,131,3,1,0,116,3,116,4,124,3,131,1,100,2,100, @@ -1717,7 +1717,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 0,122,29,83,111,117,114,99,101,108,101,115,115,70,105,108, 101,76,111,97,100,101,114,46,103,101,116,95,99,111,100,101, 99,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0, - 0,3,0,0,0,114,24,0,0,0,41,2,122,39,82,101, + 0,67,0,0,0,114,24,0,0,0,41,2,122,39,82,101, 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, 99,111,100,101,46,78,114,12,0,0,0,114,246,0,0,0, @@ -1730,7 +1730,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 0,114,7,0,0,0,114,39,1,0,0,110,4,0,0,115, 8,0,0,0,8,0,4,2,8,2,12,16,114,9,0,0, 0,114,39,1,0,0,99,0,0,0,0,0,0,0,0,0, - 0,0,0,3,0,0,0,0,0,0,0,115,92,0,0,0, + 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, @@ -1744,7 +1744,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 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, 32,32,99,3,0,0,0,0,0,0,0,0,0,0,0,2, - 0,0,0,3,0,0,0,115,16,0,0,0,124,1,124,0, + 0,0,0,67,0,0,0,115,16,0,0,0,124,1,124,0, 95,0,124,2,124,0,95,1,100,0,83,0,114,69,0,0, 0,114,182,0,0,0,41,3,114,143,0,0,0,114,141,0, 0,0,114,65,0,0,0,63,63,63,114,7,0,0,0,114, @@ -1752,19 +1752,19 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 1,114,9,0,0,0,122,28,69,120,116,101,110,115,105,111, 110,70,105,108,101,76,111,97,100,101,114,46,95,95,105,110, 105,116,95,95,99,2,0,0,0,0,0,0,0,0,0,0, - 0,2,0,0,0,3,0,0,0,114,11,1,0,0,114,69, + 0,2,0,0,0,67,0,0,0,114,11,1,0,0,114,69, 0,0,0,114,12,1,0,0,114,14,1,0,0,63,63,114, 7,0,0,0,114,15,1,0,0,147,4,0,0,114,16,1, 0,0,114,9,0,0,0,122,26,69,120,116,101,110,115,105, 111,110,70,105,108,101,76,111,97,100,101,114,46,95,95,101, 113,95,95,99,1,0,0,0,0,0,0,0,0,0,0,0, - 3,0,0,0,3,0,0,0,114,17,1,0,0,114,69,0, + 3,0,0,0,67,0,0,0,114,17,1,0,0,114,69,0, 0,0,114,18,1,0,0,114,20,1,0,0,63,114,7,0, 0,0,114,21,1,0,0,151,4,0,0,114,22,1,0,0, 114,9,0,0,0,122,28,69,120,116,101,110,115,105,111,110, 70,105,108,101,76,111,97,100,101,114,46,95,95,104,97,115, 104,95,95,99,2,0,0,0,0,0,0,0,0,0,0,0, - 5,0,0,0,3,0,0,0,115,36,0,0,0,116,0,160, + 5,0,0,0,67,0,0,0,115,36,0,0,0,116,0,160, 1,116,2,106,3,124,1,161,2,125,2,116,0,160,4,100, 1,124,1,106,5,124,0,106,6,161,3,1,0,124,2,83, 0,41,3,122,38,67,114,101,97,116,101,32,97,110,32,117, @@ -1782,7 +1782,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 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, 101,99,2,0,0,0,0,0,0,0,0,0,0,0,5,0, - 0,0,3,0,0,0,115,36,0,0,0,116,0,160,1,116, + 0,0,67,0,0,0,115,36,0,0,0,116,0,160,1,116, 2,106,3,124,1,161,2,1,0,116,0,160,4,100,1,124, 0,106,5,124,0,106,6,161,3,1,0,100,2,83,0,41, 3,122,30,73,110,105,116,105,97,108,105,122,101,32,97,110, @@ -1823,7 +1823,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 14,2,12,1,2,1,8,255,114,9,0,0,0,122,30,69, 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, - 0,0,0,0,0,0,0,0,0,0,1,0,0,0,3,0, + 0,0,0,0,0,0,0,0,0,0,1,0,0,0,67,0, 0,0,114,24,0,0,0,41,2,122,63,82,101,116,117,114, 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, @@ -1833,7 +1833,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 0,174,4,0,0,114,25,0,0,0,114,9,0,0,0,122, 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, - 0,0,0,0,0,0,0,0,0,0,1,0,0,0,3,0, + 0,0,0,0,0,0,0,0,0,0,1,0,0,0,67,0, 0,0,114,24,0,0,0,41,2,122,53,82,101,116,117,114, 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, @@ -1843,7 +1843,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 114,9,0,0,0,122,30,69,120,116,101,110,115,105,111,110, 70,105,108,101,76,111,97,100,101,114,46,103,101,116,95,115, 111,117,114,99,101,99,2,0,0,0,0,0,0,0,0,0, - 0,0,1,0,0,0,3,0,0,0,114,24,1,0,0,114, + 0,0,1,0,0,0,67,0,0,0,114,24,1,0,0,114, 25,1,0,0,114,74,0,0,0,114,246,0,0,0,63,63, 114,7,0,0,0,114,202,0,0,0,182,4,0,0,114,26, 1,0,0,114,9,0,0,0,122,32,69,120,116,101,110,115, @@ -1857,7 +1857,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 0,0,135,4,0,0,115,24,0,0,0,8,0,4,2,8, 6,8,4,8,4,8,3,8,8,8,6,8,6,8,4,2, 4,14,1,114,9,0,0,0,114,28,1,0,0,99,0,0, - 0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0, + 0,0,0,0,0,0,0,0,0,0,2,0,0,0,64,0, 0,0,115,104,0,0,0,101,0,90,1,100,0,90,2,100, 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, @@ -1885,7 +1885,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 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, - 0,0,0,0,0,0,0,0,0,3,0,0,0,3,0,0, + 0,0,0,0,0,0,0,0,0,3,0,0,0,67,0,0, 0,115,36,0,0,0,124,1,124,0,95,0,124,2,124,0, 95,1,116,2,124,0,160,3,161,0,131,1,124,0,95,4, 124,3,124,0,95,5,100,0,83,0,114,69,0,0,0,41, @@ -1900,7 +1900,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 14,1,10,1,114,9,0,0,0,122,23,95,78,97,109,101, 115,112,97,99,101,80,97,116,104,46,95,95,105,110,105,116, 95,95,99,1,0,0,0,0,0,0,0,0,0,0,0,3, - 0,0,0,3,0,0,0,115,38,0,0,0,124,0,106,0, + 0,0,0,67,0,0,0,115,38,0,0,0,124,0,106,0, 160,1,100,1,161,1,92,3,125,1,125,2,125,3,124,2, 100,2,107,2,114,15,100,3,83,0,124,1,100,4,102,2, 83,0,41,6,122,62,82,101,116,117,114,110,115,32,97,32, @@ -1918,7 +1918,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 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, 95,110,97,109,101,115,99,1,0,0,0,0,0,0,0,0, - 0,0,0,3,0,0,0,3,0,0,0,115,28,0,0,0, + 0,0,0,3,0,0,0,67,0,0,0,115,28,0,0,0, 124,0,160,0,161,0,92,2,125,1,125,2,116,1,116,2, 106,3,124,1,25,0,124,2,131,2,83,0,114,69,0,0, 0,41,4,114,52,1,0,0,114,154,0,0,0,114,16,0, @@ -1930,7 +1930,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 114,9,0,0,0,122,31,95,78,97,109,101,115,112,97,99, 101,80,97,116,104,46,95,103,101,116,95,112,97,114,101,110, 116,95,112,97,116,104,99,1,0,0,0,0,0,0,0,0, - 0,0,0,4,0,0,0,3,0,0,0,115,80,0,0,0, + 0,0,0,4,0,0,0,67,0,0,0,115,80,0,0,0, 116,0,124,0,160,1,161,0,131,1,125,1,124,1,124,0, 106,2,107,3,114,37,124,0,160,3,124,0,106,4,124,1, 161,2,125,2,124,2,100,0,117,1,114,34,124,2,106,5, @@ -1946,7 +1946,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 1,8,1,6,1,6,1,114,9,0,0,0,122,27,95,78, 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, - 0,0,0,0,0,0,3,0,0,0,3,0,0,0,243,12, + 0,0,0,0,0,0,3,0,0,0,67,0,0,0,243,12, 0,0,0,116,0,124,0,160,1,161,0,131,1,83,0,114, 69,0,0,0,41,2,218,4,105,116,101,114,114,54,1,0, 0,114,20,1,0,0,63,114,7,0,0,0,218,8,95,95, @@ -1954,14 +1954,14 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 1,114,9,0,0,0,122,23,95,78,97,109,101,115,112,97, 99,101,80,97,116,104,46,95,95,105,116,101,114,95,95,99, 2,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0, - 3,0,0,0,115,12,0,0,0,124,0,160,0,161,0,124, + 67,0,0,0,115,12,0,0,0,124,0,160,0,161,0,124, 1,25,0,83,0,114,69,0,0,0,169,1,114,54,1,0, 0,41,2,114,143,0,0,0,218,5,105,110,100,101,120,63, 63,114,7,0,0,0,218,11,95,95,103,101,116,105,116,101, 109,95,95,231,4,0,0,114,58,1,0,0,114,9,0,0, 0,122,26,95,78,97,109,101,115,112,97,99,101,80,97,116, 104,46,95,95,103,101,116,105,116,101,109,95,95,99,3,0, - 0,0,0,0,0,0,0,0,0,0,3,0,0,0,3,0, + 0,0,0,0,0,0,0,0,0,0,3,0,0,0,67,0, 0,0,115,14,0,0,0,124,2,124,0,106,0,124,1,60, 0,100,0,83,0,114,69,0,0,0,41,1,114,46,1,0, 0,41,3,114,143,0,0,0,114,60,1,0,0,114,65,0, @@ -1970,13 +1970,13 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 14,1,114,9,0,0,0,122,26,95,78,97,109,101,115,112, 97,99,101,80,97,116,104,46,95,95,115,101,116,105,116,101, 109,95,95,99,1,0,0,0,0,0,0,0,0,0,0,0, - 3,0,0,0,3,0,0,0,114,55,1,0,0,114,69,0, + 3,0,0,0,67,0,0,0,114,55,1,0,0,114,69,0, 0,0,41,2,114,4,0,0,0,114,54,1,0,0,114,20, 1,0,0,63,114,7,0,0,0,218,7,95,95,108,101,110, 95,95,237,4,0,0,114,58,1,0,0,114,9,0,0,0, 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, - 0,0,0,0,0,3,0,0,0,3,0,0,0,243,12,0, + 0,0,0,0,0,3,0,0,0,67,0,0,0,243,12,0, 0,0,100,1,160,0,124,0,106,1,161,1,83,0,41,2, 78,122,20,95,78,97,109,101,115,112,97,99,101,80,97,116, 104,40,123,33,114,125,41,41,2,114,89,0,0,0,114,46, @@ -1985,14 +1985,14 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 0,114,9,0,0,0,122,23,95,78,97,109,101,115,112,97, 99,101,80,97,116,104,46,95,95,114,101,112,114,95,95,99, 2,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0, - 3,0,0,0,115,12,0,0,0,124,1,124,0,160,0,161, + 67,0,0,0,115,12,0,0,0,124,1,124,0,160,0,161, 0,118,0,83,0,114,69,0,0,0,114,59,1,0,0,169, 2,114,143,0,0,0,218,4,105,116,101,109,63,63,114,7, 0,0,0,218,12,95,95,99,111,110,116,97,105,110,115,95, 95,243,4,0,0,114,58,1,0,0,114,9,0,0,0,122, 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, - 0,0,0,0,0,0,0,0,0,3,0,0,0,3,0,0, + 0,0,0,0,0,0,0,0,0,3,0,0,0,67,0,0, 0,115,16,0,0,0,124,0,106,0,160,1,124,1,161,1, 1,0,100,0,83,0,114,69,0,0,0,41,2,114,46,1, 0,0,114,61,0,0,0,114,66,1,0,0,63,63,114,7, @@ -2008,7 +2008,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 115,26,0,0,0,8,0,4,1,8,6,8,6,8,10,8, 4,8,13,8,3,8,3,8,3,8,3,8,3,12,3,114, 9,0,0,0,114,44,1,0,0,99,0,0,0,0,0,0, - 0,0,0,0,0,0,3,0,0,0,0,0,0,0,115,88, + 0,0,0,0,0,0,3,0,0,0,64,0,0,0,115,88, 0,0,0,101,0,90,1,100,0,90,2,100,1,100,2,132, 0,90,3,101,4,100,3,100,4,132,0,131,1,90,5,100, 5,100,6,132,0,90,6,100,7,100,8,132,0,90,7,100, @@ -2017,14 +2017,14 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 17,100,18,132,0,90,12,100,19,83,0,41,20,218,16,95, 78,97,109,101,115,112,97,99,101,76,111,97,100,101,114,99, 4,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0, - 3,0,0,0,115,18,0,0,0,116,0,124,1,124,2,124, + 67,0,0,0,115,18,0,0,0,116,0,124,1,124,2,124, 3,131,3,124,0,95,1,100,0,83,0,114,69,0,0,0, 41,2,114,44,1,0,0,114,46,1,0,0,114,50,1,0, 0,63,63,63,63,114,7,0,0,0,114,235,0,0,0,252, 4,0,0,115,2,0,0,0,18,1,114,9,0,0,0,122, 25,95,78,97,109,101,115,112,97,99,101,76,111,97,100,101, 114,46,95,95,105,110,105,116,95,95,99,1,0,0,0,0, - 0,0,0,0,0,0,0,4,0,0,0,3,0,0,0,115, + 0,0,0,0,0,0,0,4,0,0,0,67,0,0,0,115, 24,0,0,0,116,0,160,1,100,1,116,2,161,2,1,0, 100,2,160,3,124,0,106,4,161,1,83,0,41,4,122,115, 82,101,116,117,114,110,32,114,101,112,114,32,102,111,114,32, @@ -2048,20 +2048,20 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 0,6,7,2,1,4,255,12,2,114,9,0,0,0,122,28, 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, - 0,0,0,0,0,0,0,0,0,1,0,0,0,3,0,0, + 0,0,0,0,0,0,0,0,0,1,0,0,0,67,0,0, 0,114,24,0,0,0,41,2,78,84,114,12,0,0,0,114, 246,0,0,0,63,63,114,7,0,0,0,114,205,0,0,0, 10,5,0,0,243,2,0,0,0,4,1,114,9,0,0,0, 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, - 0,0,0,0,0,0,0,0,0,0,1,0,0,0,3,0, + 0,0,0,0,0,0,0,0,0,0,1,0,0,0,67,0, 0,0,114,24,0,0,0,41,2,78,114,10,0,0,0,114, 12,0,0,0,114,246,0,0,0,63,63,114,7,0,0,0, 114,0,1,0,0,13,5,0,0,114,72,1,0,0,114,9, 0,0,0,122,27,95,78,97,109,101,115,112,97,99,101,76, 111,97,100,101,114,46,103,101,116,95,115,111,117,114,99,101, 99,2,0,0,0,0,0,0,0,0,0,0,0,6,0,0, - 0,3,0,0,0,115,16,0,0,0,116,0,100,1,100,2, + 0,67,0,0,0,115,16,0,0,0,116,0,100,1,100,2, 100,3,100,4,100,5,141,4,83,0,41,6,78,114,10,0, 0,0,122,8,60,115,116,114,105,110,103,62,114,242,0,0, 0,84,41,1,114,2,1,0,0,41,1,114,3,1,0,0, @@ -2069,20 +2069,20 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 0,16,5,0,0,114,69,1,0,0,114,9,0,0,0,122, 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, - 0,0,0,0,0,0,0,1,0,0,0,3,0,0,0,114, + 0,0,0,0,0,0,0,1,0,0,0,67,0,0,0,114, 24,0,0,0,114,236,0,0,0,114,12,0,0,0,114,237, 0,0,0,63,63,114,7,0,0,0,114,238,0,0,0,19, 5,0,0,114,239,0,0,0,114,9,0,0,0,122,30,95, 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, - 0,0,0,0,0,0,0,0,0,0,1,0,0,0,3,0, + 0,0,0,0,0,0,0,0,0,0,1,0,0,0,67,0, 0,0,115,4,0,0,0,100,0,83,0,114,69,0,0,0, 114,12,0,0,0,114,40,1,0,0,63,63,114,7,0,0, 0,114,244,0,0,0,22,5,0,0,114,72,1,0,0,114, 9,0,0,0,122,28,95,78,97,109,101,115,112,97,99,101, 76,111,97,100,101,114,46,101,120,101,99,95,109,111,100,117, 108,101,99,2,0,0,0,0,0,0,0,0,0,0,0,4, - 0,0,0,3,0,0,0,115,26,0,0,0,116,0,160,1, + 0,0,0,67,0,0,0,115,26,0,0,0,116,0,160,1, 100,1,124,0,106,2,161,2,1,0,116,0,160,3,124,0, 124,1,161,2,83,0,41,3,122,98,76,111,97,100,32,97, 32,110,97,109,101,115,112,97,99,101,32,109,111,100,117,108, @@ -2100,7 +2100,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 0,0,122,28,95,78,97,109,101,115,112,97,99,101,76,111, 97,100,101,114,46,108,111,97,100,95,109,111,100,117,108,101, 99,2,0,0,0,0,0,0,0,0,0,0,0,2,0,0, - 0,3,0,0,0,115,22,0,0,0,100,1,100,2,108,0, + 0,67,0,0,0,115,22,0,0,0,100,1,100,2,108,0, 109,1,125,2,1,0,124,2,124,0,106,2,131,1,83,0, 41,3,78,114,0,0,0,0,41,1,218,15,78,97,109,101, 115,112,97,99,101,82,101,97,100,101,114,41,3,114,30,1, @@ -2118,7 +2118,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 114,70,1,0,0,251,4,0,0,115,22,0,0,0,8,0, 8,1,2,3,10,1,8,10,8,3,8,3,8,3,8,3, 8,3,12,12,114,9,0,0,0,114,70,1,0,0,99,0, - 0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0, + 0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,64, 0,0,0,115,118,0,0,0,101,0,90,1,100,0,90,2, 100,1,90,3,101,4,100,2,100,3,132,0,131,1,90,5, 101,4,100,4,100,5,132,0,131,1,90,6,101,7,100,6, @@ -2132,7 +2132,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 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, 32,97,116,116,114,105,98,117,116,101,115,46,99,0,0,0, - 0,0,0,0,0,0,0,0,0,4,0,0,0,3,0,0, + 0,0,0,0,0,0,0,0,0,4,0,0,0,67,0,0, 0,115,64,0,0,0,116,0,116,1,106,2,160,3,161,0, 131,1,68,0,93,22,92,2,125,0,125,1,124,1,100,1, 117,0,114,20,116,1,106,2,124,0,61,0,113,7,116,4, @@ -2156,7 +2156,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 114,9,0,0,0,122,28,80,97,116,104,70,105,110,100,101, 114,46,105,110,118,97,108,105,100,97,116,101,95,99,97,99, 104,101,115,99,1,0,0,0,0,0,0,0,0,0,0,0, - 9,0,0,0,3,0,0,0,115,78,0,0,0,116,0,106, + 9,0,0,0,67,0,0,0,115,78,0,0,0,116,0,106, 1,100,1,117,1,114,14,116,0,106,1,115,14,116,2,160, 3,100,2,116,4,161,2,1,0,116,0,106,1,68,0,93, 18,125,1,9,0,124,1,124,0,131,1,2,0,1,0,83, @@ -2176,7 +2176,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 0,0,0,148,3,26,2,154,7,35,9,166,1,35,9,122, 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, - 0,0,0,0,8,0,0,0,3,0,0,0,115,104,0,0, + 0,0,0,0,8,0,0,0,67,0,0,0,115,104,0,0, 0,124,1,100,1,107,2,114,21,9,0,116,0,160,1,161, 0,125,1,110,11,35,0,4,0,116,2,121,51,1,0,1, 0,1,0,89,0,100,2,83,0,37,0,9,0,116,3,106, @@ -2211,7 +2211,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 49,7,179,1,20,7,122,31,80,97,116,104,70,105,110,100, 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, - 0,0,0,0,4,0,0,0,3,0,0,0,115,138,0,0, + 0,0,0,0,4,0,0,0,67,0,0,0,115,138,0,0, 0,116,0,124,2,100,1,131,2,114,27,116,1,160,2,124, 2,161,1,155,0,100,2,157,2,125,3,116,3,160,4,124, 3,116,5,161,2,1,0,124,2,160,6,124,1,161,1,92, @@ -2241,7 +2241,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 1,12,1,12,1,6,1,4,1,114,9,0,0,0,122,27, 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, - 0,0,0,0,0,0,0,0,0,5,0,0,0,3,0,0, + 0,0,0,0,0,0,0,0,0,5,0,0,0,67,0,0, 0,115,166,0,0,0,103,0,125,4,124,2,68,0,93,67, 125,5,116,0,124,5,116,1,116,2,102,2,131,2,115,14, 113,4,124,0,160,3,124,5,161,1,125,6,124,6,100,1, @@ -2274,7 +2274,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 128,12,2,6,1,4,1,114,9,0,0,0,122,20,80,97, 116,104,70,105,110,100,101,114,46,95,103,101,116,95,115,112, 101,99,99,4,0,0,0,0,0,0,0,0,0,0,0,5, - 0,0,0,3,0,0,0,115,94,0,0,0,124,2,100,1, + 0,0,0,67,0,0,0,115,94,0,0,0,124,2,100,1, 117,0,114,7,116,0,106,1,125,2,124,0,160,2,124,1, 124,2,124,3,161,3,125,4,124,4,100,1,117,0,114,20, 100,1,83,0,124,4,106,3,100,1,117,0,114,45,124,4, @@ -2300,7 +2300,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 4,2,4,2,114,9,0,0,0,122,20,80,97,116,104,70, 105,110,100,101,114,46,102,105,110,100,95,115,112,101,99,99, 3,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0, - 3,0,0,0,115,42,0,0,0,116,0,160,1,100,1,116, + 67,0,0,0,115,42,0,0,0,116,0,160,1,100,1,116, 2,161,2,1,0,124,0,160,3,124,1,124,2,161,2,125, 3,124,3,100,2,117,0,114,18,100,2,83,0,124,3,106, 4,83,0,41,3,122,170,102,105,110,100,32,116,104,101,32, @@ -2326,7 +2326,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 12,3,8,1,4,1,6,1,114,9,0,0,0,122,22,80, 97,116,104,70,105,110,100,101,114,46,102,105,110,100,95,109, 111,100,117,108,101,99,0,0,0,0,0,0,0,0,0,0, - 0,0,4,0,0,0,15,0,0,0,115,28,0,0,0,100, + 0,0,4,0,0,0,79,0,0,0,115,28,0,0,0,100, 1,100,2,108,0,109,1,125,2,1,0,124,2,106,2,124, 0,105,0,124,1,164,1,142,1,83,0,41,4,97,32,1, 0,0,10,32,32,32,32,32,32,32,32,70,105,110,100,32, @@ -2367,7 +2367,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 10,1,2,12,10,1,2,21,10,1,2,20,12,1,2,31, 12,1,2,23,12,1,2,15,14,1,114,9,0,0,0,114, 74,1,0,0,99,0,0,0,0,0,0,0,0,0,0,0, - 0,3,0,0,0,0,0,0,0,115,90,0,0,0,101,0, + 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, @@ -2428,7 +2428,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 1,8,1,12,1,114,9,0,0,0,122,19,70,105,108,101, 70,105,110,100,101,114,46,95,95,105,110,105,116,95,95,99, 1,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0, - 3,0,0,0,115,10,0,0,0,100,1,124,0,95,0,100, + 67,0,0,0,115,10,0,0,0,100,1,124,0,95,0,100, 2,83,0,41,3,122,31,73,110,118,97,108,105,100,97,116, 101,32,116,104,101,32,100,105,114,101,99,116,111,114,121,32, 109,116,105,109,101,46,114,130,0,0,0,78,41,1,114,93, @@ -2437,7 +2437,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 0,122,28,70,105,108,101,70,105,110,100,101,114,46,105,110, 118,97,108,105,100,97,116,101,95,99,97,99,104,101,115,99, 2,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0, - 3,0,0,0,115,54,0,0,0,116,0,160,1,100,1,116, + 67,0,0,0,115,54,0,0,0,116,0,160,1,100,1,116, 2,161,2,1,0,124,0,160,3,124,1,161,1,125,2,124, 2,100,2,117,0,114,19,100,2,103,0,102,2,83,0,124, 2,106,4,124,2,106,5,112,25,103,0,102,2,83,0,41, @@ -2468,7 +2468,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 1,8,1,16,1,114,9,0,0,0,122,22,70,105,108,101, 70,105,110,100,101,114,46,102,105,110,100,95,108,111,97,100, 101,114,99,6,0,0,0,0,0,0,0,0,0,0,0,6, - 0,0,0,3,0,0,0,115,26,0,0,0,124,1,124,2, + 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, 100,1,141,4,83,0,41,2,78,114,200,0,0,0,41,1, 114,212,0,0,0,41,7,114,143,0,0,0,114,210,0,0, @@ -2478,7 +2478,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 115,8,0,0,0,10,1,8,1,2,1,6,255,114,9,0, 0,0,122,20,70,105,108,101,70,105,110,100,101,114,46,95, 103,101,116,95,115,112,101,99,78,99,3,0,0,0,0,0, - 0,0,0,0,0,0,9,0,0,0,3,0,0,0,115,126, + 0,0,0,0,0,0,9,0,0,0,67,0,0,0,115,126, 1,0,0,100,1,125,3,124,1,160,0,100,2,161,1,100, 3,25,0,125,4,9,0,116,1,124,0,106,2,112,17,116, 3,160,4,161,0,131,1,106,5,125,5,110,12,35,0,4, @@ -2542,7 +2542,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 193,52,8,65,61,2,193,61,7,66,8,9,194,61,1,66, 8,9,194,62,1,32,7,122,20,70,105,108,101,70,105,110, 100,101,114,46,102,105,110,100,95,115,112,101,99,99,1,0, - 0,0,0,0,0,0,0,0,0,0,10,0,0,0,3,0, + 0,0,0,0,0,0,0,0,0,0,10,0,0,0,67,0, 0,0,115,194,0,0,0,124,0,106,0,125,1,9,0,116, 1,160,2,124,1,112,11,116,1,160,3,161,0,161,1,125, 2,110,15,35,0,4,0,116,4,116,5,116,6,102,3,121, @@ -2562,7 +2562,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 114,32,116,104,105,115,32,100,105,114,101,99,116,111,114,121, 46,114,15,0,0,0,114,97,0,0,0,114,88,0,0,0, 99,1,0,0,0,0,0,0,0,0,0,0,0,4,0,0, - 0,19,0,0,0,115,20,0,0,0,104,0,124,0,93,6, + 0,83,0,0,0,115,20,0,0,0,104,0,124,0,93,6, 125,1,124,1,160,0,161,0,146,2,113,2,83,0,114,12, 0,0,0,41,1,114,131,0,0,0,41,2,114,5,0,0, 0,90,2,102,110,63,63,114,7,0,0,0,114,14,0,0, @@ -2634,7 +2634,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 77,6,0,0,115,4,0,0,0,14,10,4,6,114,9,0, 0,0,122,20,70,105,108,101,70,105,110,100,101,114,46,112, 97,116,104,95,104,111,111,107,99,1,0,0,0,0,0,0, - 0,0,0,0,0,3,0,0,0,3,0,0,0,114,64,1, + 0,0,0,0,0,3,0,0,0,67,0,0,0,114,64,1, 0,0,41,2,78,122,16,70,105,108,101,70,105,110,100,101, 114,40,123,33,114,125,41,41,2,114,89,0,0,0,114,65, 0,0,0,114,20,1,0,0,63,114,7,0,0,0,114,65, @@ -2650,7 +2650,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 8,0,4,2,8,7,8,16,4,4,8,2,8,15,10,5, 8,51,2,31,10,1,12,17,114,9,0,0,0,114,91,1, 0,0,99,4,0,0,0,0,0,0,0,0,0,0,0,8, - 0,0,0,3,0,0,0,115,146,0,0,0,124,0,160,0, + 0,0,0,67,0,0,0,115,146,0,0,0,124,0,160,0, 100,1,161,1,125,4,124,0,160,0,100,2,161,1,125,5, 124,4,115,33,124,5,114,18,124,5,106,1,125,4,110,15, 124,2,124,3,107,2,114,28,116,2,124,1,124,2,131,2, @@ -2675,7 +2675,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 8,1,8,1,12,1,2,128,12,1,6,2,2,128,2,254, 115,15,0,0,0,171,16,61,0,189,7,65,7,7,193,8, 1,65,7,7,114,108,1,0,0,99,0,0,0,0,0,0, - 0,0,0,0,0,0,3,0,0,0,3,0,0,0,115,38, + 0,0,0,0,0,0,3,0,0,0,67,0,0,0,115,38, 0,0,0,116,0,116,1,160,2,161,0,102,2,125,0,116, 3,116,4,102,2,125,1,116,5,116,6,102,2,125,2,124, 0,124,1,124,2,103,3,83,0,41,2,122,95,82,101,116, @@ -2693,14 +2693,14 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 101,63,63,63,114,7,0,0,0,114,207,0,0,0,124,6, 0,0,115,8,0,0,0,12,5,8,1,8,1,10,1,114, 9,0,0,0,114,207,0,0,0,99,1,0,0,0,0,0, - 0,0,0,0,0,0,1,0,0,0,3,0,0,0,115,8, + 0,0,0,0,0,0,1,0,0,0,67,0,0,0,115,8, 0,0,0,124,0,97,0,100,0,83,0,114,69,0,0,0, 41,1,114,158,0,0,0,41,1,218,17,95,98,111,111,116, 115,116,114,97,112,95,109,111,100,117,108,101,63,114,7,0, 0,0,218,21,95,115,101,116,95,98,111,111,116,115,116,114, 97,112,95,109,111,100,117,108,101,135,6,0,0,115,2,0, 0,0,8,2,114,9,0,0,0,114,111,1,0,0,99,1, - 0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,3, + 0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,67, 0,0,0,115,50,0,0,0,116,0,124,0,131,1,1,0, 116,1,131,0,125,1,116,2,106,3,160,4,116,5,106,6, 124,1,142,0,103,1,161,1,1,0,116,2,106,7,160,8, diff --git a/Python/importlib_zipimport.h b/Python/importlib_zipimport.h index b12805cc462dc0..06f7e2faf57156 100644 --- a/Python/importlib_zipimport.h +++ b/Python/importlib_zipimport.h @@ -1,7 +1,7 @@ /* Auto-generated by Programs/_freeze_importlib.c */ const unsigned char _Py_M__zipimport[] = { 99,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0, - 0,0,0,0,0,115,80,1,0,0,100,0,90,0,100,1, + 0,64,0,0,0,115,80,1,0,0,100,0,90,0,100,1, 100,2,108,1,90,2,100,1,100,3,108,1,109,3,90,3, 109,4,90,4,1,0,100,1,100,2,108,5,90,6,100,1, 100,2,108,7,90,7,100,1,100,2,108,8,90,8,100,1, @@ -65,7 +65,7 @@ const unsigned char _Py_M__zipimport[] = { 99,107,95,117,105,110,116,51,50,218,14,90,105,112,73,109, 112,111,114,116,69,114,114,111,114,218,11,122,105,112,105,109, 112,111,114,116,101,114,233,1,0,0,0,99,0,0,0,0, - 0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0, + 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, 0,41,2,114,3,0,0,0,78,41,3,218,8,95,95,110, 97,109,101,95,95,218,10,95,95,109,111,100,117,108,101,95, @@ -75,7 +75,7 @@ const unsigned char _Py_M__zipimport[] = { 0,0,0,8,0,4,1,243,0,0,0,0,233,22,0,0, 0,115,4,0,0,0,80,75,5,6,105,255,255,0,0,99, 0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0, - 0,0,0,0,115,126,0,0,0,101,0,90,1,100,0,90, + 64,0,0,0,115,126,0,0,0,101,0,90,1,100,0,90, 2,100,1,90,3,100,2,100,3,132,0,90,4,100,29,100, 5,100,6,132,1,90,5,100,29,100,7,100,8,132,1,90, 6,100,29,100,9,100,10,132,1,90,7,100,11,100,12,132, @@ -117,7 +117,7 @@ const unsigned char _Py_M__zipimport[] = { 32,111,102,32,116,104,101,10,32,32,32,32,122,105,112,102, 105,108,101,32,116,97,114,103,101,116,101,100,46,10,32,32, 32,32,99,2,0,0,0,0,0,0,0,0,0,0,0,9, - 0,0,0,3,0,0,0,115,40,1,0,0,116,0,124,1, + 0,0,0,67,0,0,0,115,40,1,0,0,116,0,124,1, 116,1,131,2,115,14,100,1,100,0,108,2,125,2,124,2, 160,3,124,1,161,1,125,1,124,1,115,22,116,4,100,2, 124,1,100,3,141,2,130,1,116,5,114,30,124,1,160,6, @@ -170,7 +170,7 @@ const unsigned char _Py_M__zipimport[] = { 0,193,33,15,65,50,7,194,18,1,65,50,7,194,19,1, 65,11,7,122,20,122,105,112,105,109,112,111,114,116,101,114, 46,95,95,105,110,105,116,95,95,78,99,3,0,0,0,0, - 0,0,0,0,0,0,0,4,0,0,0,3,0,0,0,115, + 0,0,0,0,0,0,0,4,0,0,0,67,0,0,0,115, 90,0,0,0,116,0,160,1,100,1,116,2,161,2,1,0, 116,3,124,0,124,1,131,2,125,3,124,3,100,2,117,1, 114,19,124,0,103,0,102,2,83,0,116,4,124,0,124,1, @@ -233,7 +233,7 @@ const unsigned char _Py_M__zipimport[] = { 8,2,114,11,0,0,0,122,23,122,105,112,105,109,112,111, 114,116,101,114,46,102,105,110,100,95,108,111,97,100,101,114, 99,3,0,0,0,0,0,0,0,0,0,0,0,4,0,0, - 0,3,0,0,0,115,28,0,0,0,116,0,160,1,100,1, + 0,67,0,0,0,115,28,0,0,0,116,0,160,1,100,1, 116,2,161,2,1,0,124,0,160,3,124,1,124,2,161,2, 100,2,25,0,83,0,41,4,97,203,1,0,0,102,105,110, 100,95,109,111,100,117,108,101,40,102,117,108,108,110,97,109, @@ -279,7 +279,7 @@ const unsigned char _Py_M__zipimport[] = { 254,16,3,114,11,0,0,0,122,23,122,105,112,105,109,112, 111,114,116,101,114,46,102,105,110,100,95,109,111,100,117,108, 101,99,3,0,0,0,0,0,0,0,0,0,0,0,6,0, - 0,0,3,0,0,0,115,108,0,0,0,116,0,124,0,124, + 0,0,67,0,0,0,115,108,0,0,0,116,0,124,0,124, 1,131,2,125,3,124,3,100,1,117,1,114,17,116,1,160, 2,124,1,124,0,124,3,100,2,166,3,83,0,116,3,124, 0,124,1,131,2,125,4,116,4,124,0,124,4,131,2,114, @@ -311,7 +311,7 @@ const unsigned char _Py_M__zipimport[] = { 2,1,6,255,12,2,4,1,4,2,114,11,0,0,0,122, 21,122,105,112,105,109,112,111,114,116,101,114,46,102,105,110, 100,95,115,112,101,99,99,2,0,0,0,0,0,0,0,0, - 0,0,0,3,0,0,0,3,0,0,0,115,20,0,0,0, + 0,0,0,3,0,0,0,67,0,0,0,115,20,0,0,0, 116,0,124,0,124,1,131,2,92,3,125,2,125,3,125,4, 124,2,83,0,41,2,122,166,103,101,116,95,99,111,100,101, 40,102,117,108,108,110,97,109,101,41,32,45,62,32,99,111, @@ -332,7 +332,7 @@ const unsigned char _Py_M__zipimport[] = { 0,0,16,6,4,1,114,11,0,0,0,122,20,122,105,112, 105,109,112,111,114,116,101,114,46,103,101,116,95,99,111,100, 101,99,2,0,0,0,0,0,0,0,0,0,0,0,8,0, - 0,0,3,0,0,0,115,114,0,0,0,116,0,114,8,124, + 0,0,67,0,0,0,115,114,0,0,0,116,0,114,8,124, 1,160,1,116,0,116,2,161,2,125,1,124,1,125,2,124, 1,160,3,124,0,106,4,116,2,23,0,161,1,114,29,124, 1,116,5,124,0,106,4,116,2,23,0,131,1,100,1,133, @@ -363,7 +363,7 @@ const unsigned char _Py_M__zipimport[] = { 158,5,36,0,164,13,49,7,184,1,49,7,122,20,122,105, 112,105,109,112,111,114,116,101,114,46,103,101,116,95,100,97, 116,97,99,2,0,0,0,0,0,0,0,0,0,0,0,3, - 0,0,0,3,0,0,0,115,20,0,0,0,116,0,124,0, + 0,0,0,67,0,0,0,115,20,0,0,0,116,0,124,0, 124,1,131,2,92,3,125,2,125,3,125,4,124,4,83,0, 41,2,122,165,103,101,116,95,102,105,108,101,110,97,109,101, 40,102,117,108,108,110,97,109,101,41,32,45,62,32,102,105, @@ -381,7 +381,7 @@ const unsigned char _Py_M__zipimport[] = { 115,4,0,0,0,16,8,4,1,114,11,0,0,0,122,24, 122,105,112,105,109,112,111,114,116,101,114,46,103,101,116,95, 102,105,108,101,110,97,109,101,99,2,0,0,0,0,0,0, - 0,0,0,0,0,8,0,0,0,3,0,0,0,115,128,0, + 0,0,0,0,0,8,0,0,0,67,0,0,0,115,128,0, 0,0,116,0,124,0,124,1,131,2,125,2,124,2,100,1, 117,0,114,18,116,1,100,2,124,1,155,2,157,2,124,1, 100,3,141,2,130,1,116,2,124,0,124,1,131,2,125,3, @@ -422,7 +422,7 @@ const unsigned char _Py_M__zipimport[] = { 166,5,44,0,172,7,54,7,191,1,54,7,122,22,122,105, 112,105,109,112,111,114,116,101,114,46,103,101,116,95,115,111, 117,114,99,101,99,2,0,0,0,0,0,0,0,0,0,0, - 0,4,0,0,0,3,0,0,0,115,40,0,0,0,116,0, + 0,4,0,0,0,67,0,0,0,115,40,0,0,0,116,0, 124,0,124,1,131,2,125,2,124,2,100,1,117,0,114,18, 116,1,100,2,124,1,155,2,157,2,124,1,100,3,141,2, 130,1,124,2,83,0,41,4,122,171,105,115,95,112,97,99, @@ -443,7 +443,7 @@ const unsigned char _Py_M__zipimport[] = { 0,0,0,10,6,8,1,18,1,4,1,114,11,0,0,0, 122,22,122,105,112,105,109,112,111,114,116,101,114,46,105,115, 95,112,97,99,107,97,103,101,99,2,0,0,0,0,0,0, - 0,0,0,0,0,8,0,0,0,3,0,0,0,115,0,1, + 0,0,0,0,0,8,0,0,0,67,0,0,0,115,0,1, 0,0,100,1,125,2,116,0,160,1,124,2,116,2,161,2, 1,0,116,3,124,0,124,1,131,2,92,3,125,3,125,4, 125,5,116,4,106,5,160,6,124,1,161,1,125,6,124,6, @@ -519,7 +519,7 @@ const unsigned char _Py_M__zipimport[] = { 7,193,63,1,65,53,7,122,23,122,105,112,105,109,112,111, 114,116,101,114,46,108,111,97,100,95,109,111,100,117,108,101, 99,2,0,0,0,0,0,0,0,0,0,0,0,8,0,0, - 0,3,0,0,0,115,64,0,0,0,9,0,124,0,160,0, + 0,67,0,0,0,115,64,0,0,0,9,0,124,0,160,0, 124,1,161,1,115,8,100,1,83,0,110,11,35,0,4,0, 116,1,121,31,1,0,1,0,1,0,89,0,100,1,83,0, 37,0,100,2,100,3,108,2,109,3,125,2,1,0,124,2, @@ -549,7 +549,7 @@ const unsigned char _Py_M__zipimport[] = { 31,122,105,112,105,109,112,111,114,116,101,114,46,103,101,116, 95,114,101,115,111,117,114,99,101,95,114,101,97,100,101,114, 99,1,0,0,0,0,0,0,0,0,0,0,0,8,0,0, - 0,3,0,0,0,115,74,0,0,0,9,0,116,0,124,0, + 0,67,0,0,0,115,74,0,0,0,9,0,116,0,124,0, 106,1,131,1,124,0,95,2,124,0,106,2,116,3,124,0, 106,1,60,0,100,1,83,0,35,0,4,0,116,4,121,36, 1,0,1,0,1,0,116,3,160,5,124,0,106,1,100,1, @@ -566,7 +566,7 @@ const unsigned char _Py_M__zipimport[] = { 0,0,129,12,15,0,143,17,35,7,164,1,35,7,122,29, 122,105,112,105,109,112,111,114,116,101,114,46,105,110,118,97, 108,105,100,97,116,101,95,99,97,99,104,101,115,99,1,0, - 0,0,0,0,0,0,0,0,0,0,5,0,0,0,3,0, + 0,0,0,0,0,0,0,0,0,0,5,0,0,0,67,0, 0,0,115,24,0,0,0,100,1,124,0,106,0,155,0,116, 1,155,0,124,0,106,2,155,0,100,2,157,5,83,0,41, 3,78,122,21,60,122,105,112,105,109,112,111,114,116,101,114, @@ -588,7 +588,7 @@ const unsigned char _Py_M__zipimport[] = { 0,0,122,12,95,95,105,110,105,116,95,95,46,112,121,99, 84,114,67,0,0,0,70,41,3,122,4,46,112,121,99,84, 70,41,3,114,68,0,0,0,70,70,99,2,0,0,0,0, - 0,0,0,0,0,0,0,4,0,0,0,3,0,0,0,115, + 0,0,0,0,0,0,0,4,0,0,0,67,0,0,0,115, 20,0,0,0,124,0,106,0,124,1,160,1,100,1,161,1, 100,2,25,0,23,0,83,0,41,3,78,218,1,46,233,2, 0,0,0,41,2,114,32,0,0,0,218,10,114,112,97,114, @@ -596,14 +596,14 @@ const unsigned char _Py_M__zipimport[] = { 0,0,63,63,114,10,0,0,0,114,40,0,0,0,102,1, 0,0,115,2,0,0,0,20,1,114,11,0,0,0,114,40, 0,0,0,99,2,0,0,0,0,0,0,0,0,0,0,0, - 2,0,0,0,3,0,0,0,115,18,0,0,0,124,1,116, + 2,0,0,0,67,0,0,0,115,18,0,0,0,124,1,116, 0,23,0,125,2,124,2,124,0,106,1,118,0,83,0,114, 91,0,0,0,41,2,114,21,0,0,0,114,29,0,0,0, 41,3,114,33,0,0,0,114,14,0,0,0,90,7,100,105, 114,112,97,116,104,63,63,63,114,10,0,0,0,114,41,0, 0,0,106,1,0,0,115,4,0,0,0,8,4,10,2,114, 11,0,0,0,114,41,0,0,0,99,2,0,0,0,0,0, - 0,0,0,0,0,0,4,0,0,0,3,0,0,0,115,56, + 0,0,0,0,0,0,4,0,0,0,67,0,0,0,115,56, 0,0,0,116,0,124,0,124,1,131,2,125,2,116,1,68, 0,93,18,92,3,125,3,125,4,125,5,124,2,124,3,23, 0,125,6,124,6,124,0,106,2,118,0,114,25,124,5,2, @@ -617,7 +617,7 @@ const unsigned char _Py_M__zipimport[] = { 0,0,115,14,0,0,0,10,1,14,1,8,1,10,1,8, 1,2,255,4,2,114,11,0,0,0,114,39,0,0,0,99, 1,0,0,0,0,0,0,0,0,0,0,0,9,0,0,0, - 3,0,0,0,115,248,4,0,0,9,0,116,0,160,1,124, + 67,0,0,0,115,248,4,0,0,9,0,116,0,160,1,124, 0,161,1,125,1,110,18,35,0,4,0,116,2,144,2,121, 123,1,0,1,0,1,0,116,3,100,1,124,0,155,2,157, 2,124,0,100,2,141,2,130,1,37,0,124,1,53,0,1, @@ -815,7 +815,7 @@ const unsigned char _Py_M__zipimport[] = { 165,226,137,164,226,140,160,226,140,161,195,183,226,137,136,194, 176,226,136,153,194,183,226,136,154,226,129,191,194,178,226,150, 160,194,160,99,0,0,0,0,0,0,0,0,0,0,0,0, - 8,0,0,0,3,0,0,0,115,110,0,0,0,116,0,114, + 8,0,0,0,67,0,0,0,115,110,0,0,0,116,0,114, 11,116,1,160,2,100,1,161,1,1,0,116,3,100,2,131, 1,130,1,100,3,97,0,9,0,100,4,100,5,108,4,109, 5,125,0,1,0,110,17,35,0,4,0,116,6,121,54,1, @@ -841,7 +841,7 @@ const unsigned char _Py_M__zipimport[] = { 6,5,2,128,8,0,10,2,4,1,2,249,115,24,0,0, 0,142,6,21,0,148,1,42,0,149,16,37,7,165,1,42, 0,170,4,46,7,182,1,37,7,114,151,0,0,0,99,2, - 0,0,0,0,0,0,0,0,0,0,0,9,0,0,0,3, + 0,0,0,0,0,0,0,0,0,0,0,9,0,0,0,67, 0,0,0,115,132,1,0,0,124,1,92,8,125,2,125,3, 125,4,125,5,125,6,125,7,125,8,125,9,124,4,100,1, 107,0,114,18,116,0,100,2,131,1,130,1,116,1,160,2, @@ -899,14 +899,14 @@ const unsigned char _Py_M__zipimport[] = { 11,194,29,3,66,28,11,194,42,3,66,46,0,194,46,11, 66,57,7,194,63,1,66,57,7,195,0,1,66,1,9,195, 1,1,47,9,114,60,0,0,0,99,2,0,0,0,0,0, - 0,0,0,0,0,0,3,0,0,0,3,0,0,0,115,16, + 0,0,0,0,0,0,3,0,0,0,67,0,0,0,115,16, 0,0,0,116,0,124,0,124,1,24,0,131,1,100,1,107, 1,83,0,41,2,78,114,5,0,0,0,41,1,218,3,97, 98,115,41,2,90,2,116,49,90,2,116,50,63,63,114,10, 0,0,0,218,9,95,101,113,95,109,116,105,109,101,115,2, 0,0,115,2,0,0,0,16,2,114,11,0,0,0,114,154, 0,0,0,99,5,0,0,0,0,0,0,0,0,0,0,0, - 6,0,0,0,3,0,0,0,115,254,0,0,0,124,3,124, + 6,0,0,0,67,0,0,0,115,254,0,0,0,124,3,124, 2,100,1,156,2,125,5,116,0,160,1,124,4,124,3,124, 5,161,3,125,6,124,6,100,2,64,0,100,3,107,3,125, 7,124,7,114,63,124,6,100,4,64,0,100,3,107,3,125, @@ -960,7 +960,7 @@ const unsigned char _Py_M__zipimport[] = { 2,128,8,4,6,255,4,3,22,3,18,1,2,255,4,2, 8,1,4,255,4,2,18,2,10,1,16,1,4,1,114,11, 0,0,0,114,162,0,0,0,99,1,0,0,0,0,0,0, - 0,0,0,0,0,4,0,0,0,3,0,0,0,115,28,0, + 0,0,0,0,0,4,0,0,0,67,0,0,0,115,28,0, 0,0,124,0,160,0,100,1,100,2,161,2,125,0,124,0, 160,0,100,3,100,2,161,2,125,0,124,0,83,0,41,4, 78,115,2,0,0,0,13,10,243,1,0,0,0,10,243,1, @@ -969,7 +969,7 @@ const unsigned char _Py_M__zipimport[] = { 114,109,97,108,105,122,101,95,108,105,110,101,95,101,110,100, 105,110,103,115,168,2,0,0,115,6,0,0,0,12,1,12, 1,4,1,114,11,0,0,0,114,166,0,0,0,99,2,0, - 0,0,0,0,0,0,0,0,0,0,6,0,0,0,3,0, + 0,0,0,0,0,0,0,0,0,0,6,0,0,0,67,0, 0,0,115,24,0,0,0,116,0,124,1,131,1,125,1,116, 1,124,1,124,0,100,1,100,2,100,3,141,4,83,0,41, 4,78,114,80,0,0,0,84,41,1,90,12,100,111,110,116, @@ -979,7 +979,7 @@ const unsigned char _Py_M__zipimport[] = { 109,112,105,108,101,95,115,111,117,114,99,101,175,2,0,0, 115,4,0,0,0,8,1,16,1,114,11,0,0,0,114,168, 0,0,0,99,2,0,0,0,0,0,0,0,0,0,0,0, - 11,0,0,0,3,0,0,0,115,68,0,0,0,116,0,160, + 11,0,0,0,67,0,0,0,115,68,0,0,0,116,0,160, 1,124,0,100,1,63,0,100,2,23,0,124,0,100,3,63, 0,100,4,64,0,124,0,100,5,64,0,124,1,100,6,63, 0,124,1,100,3,63,0,100,7,64,0,124,1,100,5,64, @@ -993,7 +993,7 @@ const unsigned char _Py_M__zipimport[] = { 101,181,2,0,0,115,18,0,0,0,4,1,10,1,10,1, 6,1,6,1,10,1,10,1,6,1,6,249,114,11,0,0, 0,114,176,0,0,0,99,2,0,0,0,0,0,0,0,0, - 0,0,0,10,0,0,0,3,0,0,0,115,112,0,0,0, + 0,0,0,10,0,0,0,67,0,0,0,115,112,0,0,0, 9,0,124,1,100,1,100,0,133,2,25,0,100,2,118,0, 115,11,74,0,130,1,124,1,100,0,100,1,133,2,25,0, 125,1,124,0,106,0,124,1,25,0,125,2,124,2,100,3, @@ -1014,7 +1014,7 @@ const unsigned char _Py_M__zipimport[] = { 8,1,14,1,2,128,18,1,6,1,2,128,2,255,115,12, 0,0,0,129,39,41,0,169,10,54,7,183,1,54,7,114, 158,0,0,0,99,2,0,0,0,0,0,0,0,0,0,0, - 0,8,0,0,0,3,0,0,0,115,82,0,0,0,124,1, + 0,8,0,0,0,67,0,0,0,115,82,0,0,0,124,1, 100,1,100,0,133,2,25,0,100,2,118,0,115,10,74,0, 130,1,124,1,100,0,100,1,133,2,25,0,125,1,9,0, 124,0,106,0,124,1,25,0,125,2,110,11,35,0,4,0, @@ -1028,7 +1028,7 @@ const unsigned char _Py_M__zipimport[] = { 12,1,2,128,12,1,6,1,2,128,12,2,2,253,115,12, 0,0,0,145,5,23,0,151,7,33,7,168,1,33,7,114, 156,0,0,0,99,2,0,0,0,0,0,0,0,0,0,0, - 0,9,0,0,0,3,0,0,0,115,14,1,0,0,116,0, + 0,9,0,0,0,67,0,0,0,115,14,1,0,0,116,0, 124,0,124,1,131,2,125,2,100,0,125,3,116,1,68,0, 93,100,92,3,125,4,125,5,125,6,124,2,124,4,23,0, 125,7,116,2,160,3,100,1,124,0,106,4,116,5,124,7, From 3b01a5f744cc97bf3145db4f7e4baac1077b64f8 Mon Sep 17 00:00:00 2001 From: Eric Snow Date: Wed, 26 May 2021 16:36:01 -0600 Subject: [PATCH 13/31] Regen other files. --- Programs/test_frozenmain.h | 2 +- Python/frozen_hello.h | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/Programs/test_frozenmain.h b/Programs/test_frozenmain.h index fad548bd92e29d..5757c150343087 100644 --- a/Programs/test_frozenmain.h +++ b/Programs/test_frozenmain.h @@ -1,7 +1,7 @@ // Auto-generated by Programs/freeze_test_frozenmain.py unsigned char M_test_frozenmain[] = { 227,0,0,0,0,0,0,0,0,0,0,0,0,7,0,0, - 0,0,0,0,0,115,86,0,0,0,100,0,100,1,108,0, + 0,64,0,0,0,115,86,0,0,0,100,0,100,1,108,0, 90,0,100,0,100,1,108,1,90,1,101,2,100,2,131,1, 1,0,101,2,100,3,101,0,106,3,131,2,1,0,101,1, 160,4,161,0,100,4,25,0,90,5,100,5,68,0,93,14, diff --git a/Python/frozen_hello.h b/Python/frozen_hello.h index 4d2680efb1504c..1e150630161f53 100644 --- a/Python/frozen_hello.h +++ b/Python/frozen_hello.h @@ -1,7 +1,7 @@ /* Auto-generated by Programs/_freeze_importlib.c */ const unsigned char _Py_M__hello[] = { 99,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0, - 0,0,0,0,0,115,16,0,0,0,100,0,90,0,101,1, + 0,64,0,0,0,115,16,0,0,0,100,0,90,0,101,1, 100,1,131,1,1,0,100,2,83,0,41,3,84,122,12,72, 101,108,108,111,32,119,111,114,108,100,33,78,41,2,90,11, 105,110,105,116,105,97,108,105,122,101,100,218,5,112,114,105, From 19465f4db7f638d6509d3e3561f7473c457fd2c1 Mon Sep 17 00:00:00 2001 From: Eric Snow Date: Wed, 26 May 2021 16:49:14 -0600 Subject: [PATCH 14/31] Fix the gdb script. --- Tools/gdb/libpython.py | 10 ++++++---- 1 file changed, 6 insertions(+), 4 deletions(-) diff --git a/Tools/gdb/libpython.py b/Tools/gdb/libpython.py index c1d2cd8ced68c4..d8f3017bcfbb19 100755 --- a/Tools/gdb/libpython.py +++ b/Tools/gdb/libpython.py @@ -871,7 +871,8 @@ def __init__(self, gdbval, cast_to=None): self.f_lineno = int_from_int(self.field('f_lineno')) self.f_lasti = int_from_int(self.field('f_lasti')) self.co_nlocals = int_from_int(self.co.field('co_nlocals')) - self.co_varnames = PyTupleObjectPtr.from_pyobject_ptr(self.co.field('co_varnames')) + pnames = self.co.field('co_fastlocalnames') + self.co_fastlocalnames = PyTupleObjectPtr.from_pyobject_ptr(pnames) def iter_locals(self): ''' @@ -884,9 +885,10 @@ def iter_locals(self): f_localsplus = self.field('f_localsptr') for i in safe_range(self.co_nlocals): pyop_value = PyObjectPtr.from_pyobject_ptr(f_localsplus[i]) - if not pyop_value.is_null(): - pyop_name = PyObjectPtr.from_pyobject_ptr(self.co_varnames[i]) - yield (pyop_name, pyop_value) + if pyop_value.is_null(): + continue + pyop_name = PyObjectPtr.from_pyobject_ptr(self.co_fastlocalnames[i]) + yield (pyop_name, pyop_value) def _f_globals(self): f_localsplus = self.field('f_localsptr') From 93c3568629a8c1bb30dad60938e25fa7206d65a5 Mon Sep 17 00:00:00 2001 From: Eric Snow Date: Wed, 26 May 2021 17:34:55 -0600 Subject: [PATCH 15/31] lint --- Python/compile.c | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/Python/compile.c b/Python/compile.c index d02d2b5bf3f34d..aed5b8f9963d21 100644 --- a/Python/compile.c +++ b/Python/compile.c @@ -7196,7 +7196,7 @@ compute_fastlocals_info(struct compiler *c, int offset = (int)PyLong_AS_LONG(v); assert(offset >= 0); assert(offset < nlocalsplus); - // For now we do not distinguish arg kinds. + // For now we do not distinguish arg kinds. _Py_set_fastlocal_info(offset, k, CO_FAST_LOCAL, names, kinds); } int nlocals = (int)PyDict_GET_SIZE(c->u->u_varnames); From 418da97d1f3f89c33b6198bccedd2c128ef39cdd Mon Sep 17 00:00:00 2001 From: Eric Snow Date: Wed, 26 May 2021 19:49:37 -0600 Subject: [PATCH 16/31] Expose co_fastlocalnames to Python code. --- Objects/codeobject.c | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/Objects/codeobject.c b/Objects/codeobject.c index 932fbd08001f81..1465217539d7b6 100644 --- a/Objects/codeobject.c +++ b/Objects/codeobject.c @@ -1363,11 +1363,11 @@ static PyMemberDef code_memberlist[] = { {"co_firstlineno", T_INT, OFF(co_firstlineno), READONLY}, {"co_linetable", T_OBJECT, OFF(co_linetable), READONLY}, {"co_exceptiontable", T_OBJECT, OFF(co_exceptiontable), READONLY}, + {"co_fastlocalnames", T_OBJECT, OFF(co_fastlocalnames), READONLY}, {NULL} /* Sentinel */ }; - static PyObject * code_getlnotab(PyCodeObject *code, void *closure) { From 9de74bd43ae85a08ebf5806d31b2765179d752a3 Mon Sep 17 00:00:00 2001 From: Eric Snow Date: Wed, 26 May 2021 19:53:52 -0600 Subject: [PATCH 17/31] Update the dis docs. --- Doc/library/dis.rst | 5 ++--- 1 file changed, 2 insertions(+), 3 deletions(-) diff --git a/Doc/library/dis.rst b/Doc/library/dis.rst index a4746bcabc76bc..eaa001c2fcecc5 100644 --- a/Doc/library/dis.rst +++ b/Doc/library/dis.rst @@ -1059,9 +1059,8 @@ All of the following opcodes use their arguments. .. opcode:: LOAD_CLOSURE (i) Pushes a reference to the cell contained in slot *i* of the cell and free - variable storage. The name of the variable is ``co_cellvars[i]`` if *i* is - less than the length of *co_cellvars*. Otherwise it is ``co_freevars[i - - len(co_cellvars)]``. + variable storage. The name of the variable is + ``co_fastlocalnames[i + len(co_varnames)]``. .. opcode:: LOAD_DEREF (i) From e50e286155dcbca40aca525f441b2028ab9f77b6 Mon Sep 17 00:00:00 2001 From: Eric Snow Date: Wed, 26 May 2021 20:17:53 -0600 Subject: [PATCH 18/31] Use co_fastlocalnames in the dis module. --- Lib/dis.py | 39 +++++++++++++++++++-------------------- 1 file changed, 19 insertions(+), 20 deletions(-) diff --git a/Lib/dis.py b/Lib/dis.py index bc7c4d4a8d52c0..3b2700959970e5 100644 --- a/Lib/dis.py +++ b/Lib/dis.py @@ -273,15 +273,15 @@ def get_instructions(x, *, first_line=None): the disassembled code object. """ co = _get_code_object(x) - cell_names = co.co_cellvars + co.co_freevars linestarts = dict(findlinestarts(co)) if first_line is not None: line_offset = first_line - co.co_firstlineno else: line_offset = 0 - return _get_instructions_bytes(co.co_code, co.co_varnames, co.co_names, - co.co_consts, cell_names, linestarts, - line_offset) + return _get_instructions_bytes(co.co_code, + co.co_fastlocalnames, co.co_nlocals, + co.co_names, co.co_consts, + linestarts, line_offset) def _get_const_info(const_index, const_list): """Helper to get optional details about const references @@ -336,8 +336,8 @@ def parse_exception_table(code): except StopIteration: return entries -def _get_instructions_bytes(code, varnames=None, names=None, constants=None, - cells=None, linestarts=None, line_offset=0, exception_entries=()): +def _get_instructions_bytes(code, fastlocalnames=None, nlocals=0, names=None, constants=None, + linestarts=None, line_offset=0, exception_entries=()): """Iterate over the instructions in a bytecode string. Generates a sequence of Instruction namedtuples giving the details of each @@ -376,12 +376,12 @@ def _get_instructions_bytes(code, varnames=None, names=None, constants=None, argval = offset + 2 + arg*2 argrepr = "to " + repr(argval) elif op in haslocal: - argval, argrepr = _get_name_info(arg, varnames) + argval, argrepr = _get_name_info(arg, fastlocalnames) elif op in hascompare: argval = cmp_op[arg] argrepr = argval elif op in hasfree: - argval, argrepr = _get_name_info(arg, cells) + argval, argrepr = _get_name_info(arg + nlocals, fastlocalnames) elif op == FORMAT_VALUE: argval, argrepr = FORMAT_VALUE_CONVERTERS[arg & 0x3] argval = (argval, bool(arg & 0x4)) @@ -398,11 +398,10 @@ def _get_instructions_bytes(code, varnames=None, names=None, constants=None, def disassemble(co, lasti=-1, *, file=None): """Disassemble a code object.""" - cell_names = co.co_cellvars + co.co_freevars linestarts = dict(findlinestarts(co)) exception_entries = parse_exception_table(co) - _disassemble_bytes(co.co_code, lasti, co.co_varnames, co.co_names, - co.co_consts, cell_names, linestarts, file=file, + _disassemble_bytes(co.co_code, lasti, co.co_fastlocalnames, co.co_nlocals, + co.co_names, co.co_consts, linestarts, file=file, exception_entries=exception_entries) def _disassemble_recursive(co, *, file=None, depth=None): @@ -416,8 +415,8 @@ def _disassemble_recursive(co, *, file=None, depth=None): print("Disassembly of %r:" % (x,), file=file) _disassemble_recursive(x, file=file, depth=depth) -def _disassemble_bytes(code, lasti=-1, varnames=None, names=None, - constants=None, cells=None, linestarts=None, +def _disassemble_bytes(code, lasti=-1, fastlocalnames=None, nlocals=0, + names=None, constants=None, linestarts=None, *, file=None, line_offset=0, exception_entries=()): # Omit the line number column entirely if we have no line number info show_lineno = bool(linestarts) @@ -434,8 +433,8 @@ def _disassemble_bytes(code, lasti=-1, varnames=None, names=None, offset_width = len(str(maxoffset)) else: offset_width = 4 - for instr in _get_instructions_bytes(code, varnames, names, - constants, cells, linestarts, + for instr in _get_instructions_bytes(code, fastlocalnames, nlocals, names, + constants, linestarts, line_offset=line_offset, exception_entries=exception_entries): new_source_line = (show_lineno and instr.starts_line is not None and @@ -517,7 +516,6 @@ def __init__(self, x, *, first_line=None, current_offset=None): else: self.first_line = first_line self._line_offset = first_line - co.co_firstlineno - self._cell_names = co.co_cellvars + co.co_freevars self._linestarts = dict(findlinestarts(co)) self._original_object = x self.current_offset = current_offset @@ -525,8 +523,9 @@ def __init__(self, x, *, first_line=None, current_offset=None): def __iter__(self): co = self.codeobj - return _get_instructions_bytes(co.co_code, co.co_varnames, co.co_names, - co.co_consts, self._cell_names, + return _get_instructions_bytes(co.co_code, + co.co_fastlocalnames, co.co_nlocals, + co.co_names, co.co_consts, self._linestarts, line_offset=self._line_offset, exception_entries=self.exception_entries) @@ -554,9 +553,9 @@ def dis(self): else: offset = -1 with io.StringIO() as output: - _disassemble_bytes(co.co_code, varnames=co.co_varnames, + _disassemble_bytes(co.co_code, fastlocalnames=co.co_fastlocalnames, + nlocals=co.co_nlocals, names=co.co_names, constants=co.co_consts, - cells=self._cell_names, linestarts=self._linestarts, line_offset=self._line_offset, file=output, From f0fda398941b397d77d2180b2dd9c1e7dceddc4d Mon Sep 17 00:00:00 2001 From: Eric Snow Date: Thu, 27 May 2021 10:07:55 -0600 Subject: [PATCH 19/31] Fix some comments. --- Include/cpython/code.h | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/Include/cpython/code.h b/Include/cpython/code.h index b3dbe057fb7a88..b347b4b2c0373b 100644 --- a/Include/cpython/code.h +++ b/Include/cpython/code.h @@ -71,12 +71,12 @@ struct PyCodeObject { /* These fields are set with computed values on new code objects. */ int *co_cell2arg; /* Maps cell vars which are arguments. */ - // These are redundant but offer some performance benefit. + // redundant values (derived from co_fastlocalnames and co_fastlocalkinds) int co_nlocalsplus; /* number of local + cell + free variables */ int co_nlocals; /* number of local variables */ int co_ncellvars; /* number of cell variables */ int co_nfreevars; /* number of free variables */ - // cached values + // lazily-computed values PyObject *co_varnames; /* tuple of strings (local variable names) */ PyObject *co_cellvars; /* tuple of strings (cell variable names) */ PyObject *co_freevars; /* tuple of strings (free variable names) */ From 361ca0a6f91c820717e8d40857e64595c8ebbbc6 Mon Sep 17 00:00:00 2001 From: Eric Snow Date: Thu, 27 May 2021 10:19:20 -0600 Subject: [PATCH 20/31] Drop "inline" from some big functions. --- Objects/codeobject.c | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/Objects/codeobject.c b/Objects/codeobject.c index 1465217539d7b6..9d15270c7beebb 100644 --- a/Objects/codeobject.c +++ b/Objects/codeobject.c @@ -183,7 +183,7 @@ _Py_set_fastlocal_info(int offset, PyObject *name, _PyFastLocalKind kind, } } -static inline void +static void get_fastlocals_counts(PyObject *names, _PyFastLocalKinds kinds, int *pnlocals, int *pncellvars, int *pnfreevars) @@ -215,7 +215,7 @@ get_fastlocals_counts(PyObject *names, _PyFastLocalKinds kinds, } } -static inline PyObject * +static PyObject * get_fastlocals_names(PyCodeObject *co, _PyFastLocalKind kind, int num) { PyObject *names = PyTuple_New(num); From bbdaada6aa71677ff44aa51ce522cd14b45328ad Mon Sep 17 00:00:00 2001 From: Eric Snow Date: Thu, 27 May 2021 10:48:28 -0600 Subject: [PATCH 21/31] Clarify that we only look through the free vars in super_init_without_args(). --- Objects/typeobject.c | 3 +++ 1 file changed, 3 insertions(+) diff --git a/Objects/typeobject.c b/Objects/typeobject.c index 28e768e1ad4fd1..f89690ed630c27 100644 --- a/Objects/typeobject.c +++ b/Objects/typeobject.c @@ -2,6 +2,7 @@ #include "Python.h" #include "pycore_call.h" +#include "pycore_code.h" // CO_FAST_FREE #include "pycore_compile.h" // _Py_Mangle() #include "pycore_initconfig.h" #include "pycore_moduleobject.h" // _PyModule_GetDef() @@ -8894,9 +8895,11 @@ super_init_without_args(PyFrameObject *f, PyCodeObject *co, return -1; } + // Look for __class__ in the free vars. PyTypeObject *type = NULL; i = co->co_nlocals + co->co_ncellvars; for (; i < co->co_nlocalsplus; i++) { + assert(co->co_fastlocalkinds[i] & CO_FAST_FREE); PyObject *name = PyTuple_GET_ITEM(co->co_fastlocalnames, i); assert(PyUnicode_Check(name)); if (_PyUnicode_EqualToASCIIId(name, &PyId___class__)) { From 8c100d9ccbcfded956e6524559337b11ea029bf5 Mon Sep 17 00:00:00 2001 From: Eric Snow Date: Thu, 27 May 2021 11:24:39 -0600 Subject: [PATCH 22/31] Clarify about the case where a "fast" arg is also a cell. --- Objects/frameobject.c | 27 +++++++++++++++++++-------- 1 file changed, 19 insertions(+), 8 deletions(-) diff --git a/Objects/frameobject.c b/Objects/frameobject.c index 23d5e1a56f56c1..6e263edf18b42d 100644 --- a/Objects/frameobject.c +++ b/Objects/frameobject.c @@ -953,13 +953,23 @@ PyFrame_FastToLocalsWithError(PyFrameObject *f) continue; } + /* Some args are also cells. For now each of those variables + has two indices in the fast array, with both marked as cells + but only one marked as an arg. That one is always set + to NULL in _PyEval_MakeFrameVector() and the other index + gets the cell holding the arg value. So we ignore the + former here and will later use the cell for the variable. + */ + if (kind & CO_FAST_LOCAL && kind & CO_FAST_CELL) { + assert(fast[i] == NULL); + continue; + } + PyObject *name = PyTuple_GET_ITEM(co->co_fastlocalnames, i); PyObject *value = fast[i]; if (kind & (CO_FAST_CELL | CO_FAST_FREE) && value != NULL) { - if (!(kind & CO_FAST_LOCAL)) { - assert(PyCell_Check(value)); - value = PyCell_GET(value); - } + assert(PyCell_Check(value)); + value = PyCell_GET(value); } if (value == NULL) { if (PyObject_DelItem(locals, name) != 0) { @@ -1016,6 +1026,10 @@ PyFrame_LocalsToFast(PyFrameObject *f, int clear) if (kind & CO_FAST_FREE && !(co->co_flags & CO_OPTIMIZED)) { continue; } + /* Same test as in PyFrame_FastToLocals() above. */ + if (kind & CO_FAST_LOCAL && kind & CO_FAST_CELL) { + continue; + } PyObject *name = PyTuple_GET_ITEM(co->co_fastlocalnames, i); PyObject *value = PyObject_GetItem(locals, name); /* We only care about NULLs if clear is true. */ @@ -1025,10 +1039,7 @@ PyFrame_LocalsToFast(PyFrameObject *f, int clear) continue; } } - if (kind & (CO_FAST_CELL | CO_FAST_FREE) && - // For now we ignore args that are also cells. - !(kind & CO_FAST_LOCAL) - ) { + if (kind & (CO_FAST_CELL | CO_FAST_FREE)) { assert(PyCell_Check(fast[i])); if (PyCell_GET(fast[i]) != value) { if (PyCell_Set(fast[i], value) < 0) { From 505536ee7dc77c810d484409e67e0b96b961cf88 Mon Sep 17 00:00:00 2001 From: Eric Snow Date: Thu, 27 May 2021 11:45:05 -0600 Subject: [PATCH 23/31] Use a private getter function for co_fastlocalnames instead of a property. --- Lib/dis.py | 16 ++++++++++------ Objects/clinic/codeobject.c.h | 26 +++++++++++++++++++++++++- Objects/codeobject.c | 22 +++++++++++++++++++++- 3 files changed, 56 insertions(+), 8 deletions(-) diff --git a/Lib/dis.py b/Lib/dis.py index 3b2700959970e5..d9ba6dfa05786a 100644 --- a/Lib/dis.py +++ b/Lib/dis.py @@ -279,7 +279,7 @@ def get_instructions(x, *, first_line=None): else: line_offset = 0 return _get_instructions_bytes(co.co_code, - co.co_fastlocalnames, co.co_nlocals, + co._get_fastlocalnames(), co.co_nlocals, co.co_names, co.co_consts, linestarts, line_offset) @@ -336,8 +336,10 @@ def parse_exception_table(code): except StopIteration: return entries -def _get_instructions_bytes(code, fastlocalnames=None, nlocals=0, names=None, constants=None, - linestarts=None, line_offset=0, exception_entries=()): +def _get_instructions_bytes(code, fastlocalnames=None, nlocals=0, + names=None, constants=None, + linestarts=None, line_offset=0, + exception_entries=()): """Iterate over the instructions in a bytecode string. Generates a sequence of Instruction namedtuples giving the details of each @@ -400,7 +402,8 @@ def disassemble(co, lasti=-1, *, file=None): """Disassemble a code object.""" linestarts = dict(findlinestarts(co)) exception_entries = parse_exception_table(co) - _disassemble_bytes(co.co_code, lasti, co.co_fastlocalnames, co.co_nlocals, + _disassemble_bytes(co.co_code, lasti, + co._get_fastlocalnames(), co.co_nlocals, co.co_names, co.co_consts, linestarts, file=file, exception_entries=exception_entries) @@ -524,7 +527,7 @@ def __init__(self, x, *, first_line=None, current_offset=None): def __iter__(self): co = self.codeobj return _get_instructions_bytes(co.co_code, - co.co_fastlocalnames, co.co_nlocals, + co._get_fastlocalnames(), co.co_nlocals, co.co_names, co.co_consts, self._linestarts, line_offset=self._line_offset, @@ -553,7 +556,8 @@ def dis(self): else: offset = -1 with io.StringIO() as output: - _disassemble_bytes(co.co_code, fastlocalnames=co.co_fastlocalnames, + _disassemble_bytes(co.co_code, + fastlocalnames=co._get_fastlocalnames(), nlocals=co.co_nlocals, names=co.co_names, constants=co.co_consts, linestarts=self._linestarts, diff --git a/Objects/clinic/codeobject.c.h b/Objects/clinic/codeobject.c.h index 7ffdf07e49ada0..09a065a8ed7f3c 100644 --- a/Objects/clinic/codeobject.c.h +++ b/Objects/clinic/codeobject.c.h @@ -373,4 +373,28 @@ code_replace(PyCodeObject *self, PyObject *const *args, Py_ssize_t nargs, PyObje exit: return return_value; } -/*[clinic end generated code: output=a272b22f63ea002e input=a9049054013a1b77]*/ + +PyDoc_STRVAR(code__get_fastlocalnames__doc__, +"_get_fastlocalnames($self, /)\n" +"--\n" +"\n" +"(internal-only) Return the \"fast locals\" names tuple for the code object.\n" +"\n" +"WARNING: this method is for internal use only and may change or go away.\n" +"\n" +"This is the combined list of variable names mapped to the corresponding\n" +"indices in the frame\'s \"fast locals\" array. It is effectively the same\n" +"as co_varnames + co_cellvars + co_freevars."); + +#define CODE__GET_FASTLOCALNAMES_METHODDEF \ + {"_get_fastlocalnames", (PyCFunction)code__get_fastlocalnames, METH_NOARGS, code__get_fastlocalnames__doc__}, + +static PyObject * +code__get_fastlocalnames_impl(PyCodeObject *self); + +static PyObject * +code__get_fastlocalnames(PyCodeObject *self, PyObject *Py_UNUSED(ignored)) +{ + return code__get_fastlocalnames_impl(self); +} +/*[clinic end generated code: output=64b7f76e087bb6f6 input=a9049054013a1b77]*/ diff --git a/Objects/codeobject.c b/Objects/codeobject.c index 9d15270c7beebb..606119b1542165 100644 --- a/Objects/codeobject.c +++ b/Objects/codeobject.c @@ -1363,7 +1363,6 @@ static PyMemberDef code_memberlist[] = { {"co_firstlineno", T_INT, OFF(co_firstlineno), READONLY}, {"co_linetable", T_OBJECT, OFF(co_linetable), READONLY}, {"co_exceptiontable", T_OBJECT, OFF(co_exceptiontable), READONLY}, - {"co_fastlocalnames", T_OBJECT, OFF(co_fastlocalnames), READONLY}, {NULL} /* Sentinel */ }; @@ -1544,12 +1543,33 @@ code_replace_impl(PyCodeObject *self, int co_argcount, return NULL; } +/*[clinic input] +code._get_fastlocalnames + +(internal-only) Return the "fast locals" names tuple for the code object. + +WARNING: this method is for internal use only and may change or go away. + +This is the combined list of variable names mapped to the corresponding +indices in the frame's "fast locals" array. It is effectively the same +as co_varnames + co_cellvars + co_freevars. +[clinic start generated code]*/ + +static PyObject * +code__get_fastlocalnames_impl(PyCodeObject *self) +/*[clinic end generated code: output=bd729980e307a1a0 input=16adacd478dd0459]*/ +{ + Py_INCREF(self->co_fastlocalnames); + return self->co_fastlocalnames; +} + /* XXX code objects need to participate in GC? */ static struct PyMethodDef code_methods[] = { {"__sizeof__", (PyCFunction)code_sizeof, METH_NOARGS}, {"co_lines", (PyCFunction)code_linesiterator, METH_NOARGS}, CODE_REPLACE_METHODDEF + CODE__GET_FASTLOCALNAMES_METHODDEF {NULL, NULL} /* sentinel */ }; From 885e43584f95745b89e6e207c4e659ee02882fd5 Mon Sep 17 00:00:00 2001 From: Eric Snow Date: Wed, 2 Jun 2021 09:14:35 -0600 Subject: [PATCH 24/31] Drop the arg-related flags. --- Include/internal/pycore_code.h | 16 +- Python/importlib.h | 174 +++++++++++----------- Python/importlib_external.h | 262 ++++++++++++++++----------------- Python/importlib_zipimport.h | 72 ++++----- 4 files changed, 257 insertions(+), 267 deletions(-) diff --git a/Include/internal/pycore_code.h b/Include/internal/pycore_code.h index f7b6f0767cf663..e5716279a71c20 100644 --- a/Include/internal/pycore_code.h +++ b/Include/internal/pycore_code.h @@ -29,19 +29,9 @@ struct _PyOpcache { // We would use an enum if C let us specify the storage type. typedef unsigned char _PyFastLocalKind; // Note that these all fit within _PyFastLocalKind, as do combinations. -#define CO_FAST_POSONLY 0x01 -#define CO_FAST_POSORKW 0x02 -#define CO_FAST_VARARGS 0x04 -#define CO_FAST_KWONLY 0x08 -#define CO_FAST_VARKWARGS 0x10 -#define CO_FAST_LOCALONLY 0x20 -#define CO_FAST_CELL 0x40 -#define CO_FAST_FREE 0x80 - -#define CO_FAST_ARG (CO_FAST_POSONLY | CO_FAST_POSORKW | CO_FAST_VARARGS | \ - CO_FAST_KWONLY | CO_FAST_VARKWARGS) -#define CO_FAST_LOCAL (CO_FAST_ARG | CO_FAST_LOCALONLY) -#define CO_FAST_ANY (CO_FAST_LOCAL | CO_FAST_CELL | CO_FAST_FREE) +#define CO_FAST_LOCAL 0x01 +#define CO_FAST_CELL 0x40 +#define CO_FAST_FREE 0x80 typedef _PyFastLocalKind *_PyFastLocalKinds; diff --git a/Python/importlib.h b/Python/importlib.h index b9edcc5e7f6c90..ebde7a0f87c0e0 100644 --- a/Python/importlib.h +++ b/Python/importlib.h @@ -59,7 +59,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 106,0,6,0,89,0,83,0,37,0,119,0,169,1,78,41, 3,218,12,95,95,113,117,97,108,110,97,109,101,95,95,218, 14,65,116,116,114,105,98,117,116,101,69,114,114,111,114,218, - 4,116,121,112,101,41,1,218,3,111,98,106,63,250,29,60, + 4,116,121,112,101,41,1,218,3,111,98,106,1,250,29,60, 102,114,111,122,101,110,32,105,109,112,111,114,116,108,105,98, 46,95,98,111,111,116,115,116,114,97,112,62,218,12,95,111, 98,106,101,99,116,95,110,97,109,101,23,0,0,0,115,14, @@ -80,14 +80,14 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 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, - 7,114,101,112,108,97,99,101,63,63,63,114,5,0,0,0, + 7,114,101,112,108,97,99,101,1,1,1,114,5,0,0,0, 218,5,95,119,114,97,112,40,0,0,0,115,10,0,0,0, 8,2,10,1,18,1,2,128,18,1,243,0,0,0,0,114, 16,0,0,0,99,1,0,0,0,0,0,0,0,0,0,0, 0,2,0,0,0,67,0,0,0,115,12,0,0,0,116,0, 116,1,131,1,124,0,131,1,83,0,114,0,0,0,0,41, 2,114,3,0,0,0,218,3,115,121,115,169,1,218,4,110, - 97,109,101,63,114,5,0,0,0,218,11,95,110,101,119,95, + 97,109,101,1,114,5,0,0,0,218,11,95,110,101,119,95, 109,111,100,117,108,101,48,0,0,0,115,2,0,0,0,12, 1,114,17,0,0,0,114,21,0,0,0,99,0,0,0,0, 0,0,0,0,0,0,0,0,1,0,0,0,64,0,0,0, @@ -123,7 +123,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 218,4,108,111,99,107,218,6,119,97,107,101,117,112,114,20, 0,0,0,218,5,111,119,110,101,114,218,5,99,111,117,110, 116,218,7,119,97,105,116,101,114,115,169,2,218,4,115,101, - 108,102,114,20,0,0,0,63,63,114,5,0,0,0,218,8, + 108,102,114,20,0,0,0,1,1,114,5,0,0,0,218,8, 95,95,105,110,105,116,95,95,71,0,0,0,115,12,0,0, 0,10,1,10,1,6,1,6,1,6,1,10,1,114,17,0, 0,0,122,20,95,77,111,100,117,108,101,76,111,99,107,46, @@ -139,8 +139,8 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 30,0,0,0,218,3,115,101,116,218,12,95,98,108,111,99, 107,105,110,103,95,111,110,218,3,103,101,116,218,3,97,100, 100,41,5,114,34,0,0,0,90,2,109,101,218,3,116,105, - 100,90,4,115,101,101,110,114,28,0,0,0,63,63,63,63, - 63,114,5,0,0,0,218,12,104,97,115,95,100,101,97,100, + 100,90,4,115,101,101,110,114,28,0,0,0,1,1,1,1, + 1,114,5,0,0,0,218,12,104,97,115,95,100,101,97,100, 108,111,99,107,79,0,0,0,115,28,0,0,0,8,2,6, 1,6,1,2,1,10,1,8,1,4,1,6,1,8,1,4, 1,8,1,4,6,10,1,2,242,114,17,0,0,0,122,24, @@ -179,7 +179,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 0,114,42,0,0,0,114,22,0,0,0,114,29,0,0,0, 218,7,97,99,113,117,105,114,101,114,32,0,0,0,218,7, 114,101,108,101,97,115,101,169,2,114,34,0,0,0,114,41, - 0,0,0,63,63,114,5,0,0,0,114,44,0,0,0,100, + 0,0,0,1,1,114,5,0,0,0,114,44,0,0,0,100, 0,0,0,115,44,0,0,0,8,6,8,1,2,1,2,1, 8,1,20,1,6,1,14,1,2,1,10,252,10,13,8,248, 12,1,12,1,14,1,12,248,22,128,10,10,10,1,2,244, @@ -205,8 +205,8 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 0,0,41,9,114,27,0,0,0,114,36,0,0,0,114,28, 0,0,0,114,30,0,0,0,218,12,82,117,110,116,105,109, 101,69,114,114,111,114,114,31,0,0,0,114,32,0,0,0, - 114,29,0,0,0,114,45,0,0,0,114,46,0,0,0,63, - 63,114,5,0,0,0,114,45,0,0,0,125,0,0,0,115, + 114,29,0,0,0,114,45,0,0,0,114,46,0,0,0,1, + 1,114,5,0,0,0,114,45,0,0,0,125,0,0,0,115, 28,0,0,0,8,1,8,1,10,1,8,1,14,1,14,1, 10,1,6,1,6,1,14,1,10,1,14,247,22,128,4,0, 115,15,0,0,0,135,47,61,3,189,4,65,1,11,193,2, @@ -217,7 +217,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 1,161,2,83,0,41,2,78,122,23,95,77,111,100,117,108, 101,76,111,99,107,40,123,33,114,125,41,32,97,116,32,123, 125,169,3,218,6,102,111,114,109,97,116,114,20,0,0,0, - 218,2,105,100,169,1,114,34,0,0,0,63,114,5,0,0, + 218,2,105,100,169,1,114,34,0,0,0,1,114,5,0,0, 0,218,8,95,95,114,101,112,114,95,95,138,0,0,0,243, 2,0,0,0,18,1,114,17,0,0,0,122,20,95,77,111, 100,117,108,101,76,111,99,107,46,95,95,114,101,112,114,95, @@ -242,7 +242,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 0,0,0,0,2,0,0,0,67,0,0,0,115,16,0,0, 0,124,1,124,0,95,0,100,1,124,0,95,1,100,0,83, 0,114,25,0,0,0,41,2,114,20,0,0,0,114,31,0, - 0,0,114,33,0,0,0,63,63,114,5,0,0,0,114,35, + 0,0,114,33,0,0,0,1,1,114,5,0,0,0,114,35, 0,0,0,146,0,0,0,243,4,0,0,0,6,1,10,1, 114,17,0,0,0,122,25,95,68,117,109,109,121,77,111,100, 117,108,101,76,111,99,107,46,95,95,105,110,105,116,95,95, @@ -250,7 +250,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 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, 43,0,0,0,84,41,1,114,31,0,0,0,114,53,0,0, - 0,63,114,5,0,0,0,114,44,0,0,0,150,0,0,0, + 0,1,114,5,0,0,0,114,44,0,0,0,150,0,0,0, 115,4,0,0,0,14,1,4,1,114,17,0,0,0,122,24, 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, @@ -259,7 +259,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 131,1,130,1,124,0,4,0,106,0,100,3,56,0,2,0, 95,0,100,0,83,0,41,4,78,114,26,0,0,0,114,47, 0,0,0,114,43,0,0,0,41,2,114,31,0,0,0,114, - 48,0,0,0,114,53,0,0,0,63,114,5,0,0,0,114, + 48,0,0,0,114,53,0,0,0,1,114,5,0,0,0,114, 45,0,0,0,154,0,0,0,115,6,0,0,0,10,1,8, 1,18,1,114,17,0,0,0,122,24,95,68,117,109,109,121, 77,111,100,117,108,101,76,111,99,107,46,114,101,108,101,97, @@ -267,7 +267,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 0,0,0,67,0,0,0,114,49,0,0,0,41,2,78,122, 28,95,68,117,109,109,121,77,111,100,117,108,101,76,111,99, 107,40,123,33,114,125,41,32,97,116,32,123,125,114,50,0, - 0,0,114,53,0,0,0,63,114,5,0,0,0,114,54,0, + 0,0,114,53,0,0,0,1,114,5,0,0,0,114,54,0, 0,0,159,0,0,0,114,55,0,0,0,114,17,0,0,0, 122,25,95,68,117,109,109,121,77,111,100,117,108,101,76,111, 99,107,46,95,95,114,101,112,114,95,95,78,41,8,114,8, @@ -285,7 +285,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 0,0,0,0,0,2,0,0,0,67,0,0,0,115,16,0, 0,0,124,1,124,0,95,0,100,0,124,0,95,1,100,0, 83,0,114,0,0,0,0,41,2,218,5,95,110,97,109,101, - 218,5,95,108,111,99,107,114,33,0,0,0,63,63,114,5, + 218,5,95,108,111,99,107,114,33,0,0,0,1,1,114,5, 0,0,0,114,35,0,0,0,165,0,0,0,114,57,0,0, 0,114,17,0,0,0,122,27,95,77,111,100,117,108,101,76, 111,99,107,77,97,110,97,103,101,114,46,95,95,105,110,105, @@ -295,7 +295,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 0,1,0,100,0,83,0,114,0,0,0,0,41,4,218,16, 95,103,101,116,95,109,111,100,117,108,101,95,108,111,99,107, 114,59,0,0,0,114,60,0,0,0,114,44,0,0,0,114, - 53,0,0,0,63,114,5,0,0,0,218,9,95,95,101,110, + 53,0,0,0,1,114,5,0,0,0,218,9,95,95,101,110, 116,101,114,95,95,169,0,0,0,115,4,0,0,0,12,1, 14,1,114,17,0,0,0,122,28,95,77,111,100,117,108,101, 76,111,99,107,77,97,110,97,103,101,114,46,95,95,101,110, @@ -304,7 +304,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 0,106,0,160,1,161,0,1,0,100,0,83,0,114,0,0, 0,0,41,2,114,60,0,0,0,114,45,0,0,0,41,3, 114,34,0,0,0,218,4,97,114,103,115,90,6,107,119,97, - 114,103,115,63,63,63,114,5,0,0,0,218,8,95,95,101, + 114,103,115,1,1,1,114,5,0,0,0,218,8,95,95,101, 120,105,116,95,95,173,0,0,0,115,2,0,0,0,14,1, 114,17,0,0,0,122,27,95,77,111,100,117,108,101,76,111, 99,107,77,97,110,97,103,101,114,46,95,95,101,120,105,116, @@ -341,7 +341,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 218,12,97,99,113,117,105,114,101,95,108,111,99,107,218,13, 95,109,111,100,117,108,101,95,108,111,99,107,115,114,39,0, 0,0,218,12,114,101,108,101,97,115,101,95,108,111,99,107, - 41,2,218,3,114,101,102,114,20,0,0,0,63,63,114,5, + 41,2,218,3,114,101,102,114,20,0,0,0,1,1,114,5, 0,0,0,218,2,99,98,198,0,0,0,115,16,0,0,0, 8,1,2,1,14,4,6,1,12,2,2,128,10,0,2,128, 115,8,0,0,0,133,10,21,0,149,6,27,7,122,28,95, @@ -351,7 +351,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 121,69,114,114,111,114,114,27,0,0,0,114,56,0,0,0, 114,24,0,0,0,218,8,95,119,101,97,107,114,101,102,114, 69,0,0,0,114,68,0,0,0,41,3,114,20,0,0,0, - 114,28,0,0,0,114,70,0,0,0,63,63,63,114,5,0, + 114,28,0,0,0,114,70,0,0,0,1,1,1,114,5,0, 0,0,114,61,0,0,0,179,0,0,0,115,40,0,0,0, 8,6,2,1,2,1,12,1,2,128,12,1,8,1,2,128, 8,2,8,1,10,1,8,2,12,2,16,11,8,2,4,2, @@ -377,7 +377,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 101,114,32,116,104,114,101,97,100,46,10,32,32,32,32,78, 41,4,114,61,0,0,0,114,44,0,0,0,114,22,0,0, 0,114,45,0,0,0,41,2,114,20,0,0,0,114,28,0, - 0,0,63,63,114,5,0,0,0,218,19,95,108,111,99,107, + 0,0,1,1,114,5,0,0,0,218,19,95,108,111,99,107, 95,117,110,108,111,99,107,95,109,111,100,117,108,101,216,0, 0,0,115,18,0,0,0,8,6,2,1,10,1,2,128,12, 1,6,3,2,128,12,2,2,251,115,12,0,0,0,133,4, @@ -405,7 +405,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 99,117,116,105,110,103,10,32,32,32,32,109,111,100,117,108, 101,32,99,111,100,101,41,10,32,32,32,32,78,114,23,0, 0,0,41,3,218,1,102,114,63,0,0,0,90,4,107,119, - 100,115,63,63,63,114,5,0,0,0,218,25,95,99,97,108, + 100,115,1,1,1,114,5,0,0,0,218,25,95,99,97,108, 108,95,119,105,116,104,95,102,114,97,109,101,115,95,114,101, 109,111,118,101,100,233,0,0,0,115,2,0,0,0,14,8, 114,17,0,0,0,114,75,0,0,0,114,43,0,0,0,41, @@ -425,7 +425,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 111,115,101,218,10,115,116,97,114,116,115,119,105,116,104,218, 5,112,114,105,110,116,114,51,0,0,0,218,6,115,116,100, 101,114,114,41,3,218,7,109,101,115,115,97,103,101,114,76, - 0,0,0,114,63,0,0,0,63,63,63,114,5,0,0,0, + 0,0,0,114,63,0,0,0,1,1,1,114,5,0,0,0, 218,16,95,118,101,114,98,111,115,101,95,109,101,115,115,97, 103,101,244,0,0,0,115,10,0,0,0,12,2,10,1,8, 1,24,1,4,253,114,17,0,0,0,114,84,0,0,0,99, @@ -446,7 +446,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 109,111,100,117,108,101,95,110,97,109,101,115,218,11,73,109, 112,111,114,116,69,114,114,111,114,114,51,0,0,0,169,3, 114,34,0,0,0,218,8,102,117,108,108,110,97,109,101,218, - 3,102,120,110,63,63,128,114,5,0,0,0,218,25,95,114, + 3,102,120,110,1,1,128,114,5,0,0,0,218,25,95,114, 101,113,117,105,114,101,115,95,98,117,105,108,116,105,110,95, 119,114,97,112,112,101,114,254,0,0,0,243,10,0,0,0, 10,1,10,1,2,1,6,255,10,2,114,17,0,0,0,122, @@ -454,7 +454,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 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, 97,112,112,101,114,78,169,1,114,16,0,0,0,41,3,114, - 91,0,0,0,114,92,0,0,0,114,91,0,0,0,127,63, + 91,0,0,0,114,92,0,0,0,114,91,0,0,0,65,1, 64,114,5,0,0,0,218,17,95,114,101,113,117,105,114,101, 115,95,98,117,105,108,116,105,110,252,0,0,0,243,6,0, 0,0,12,2,10,5,4,1,114,17,0,0,0,114,95,0, @@ -471,7 +471,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 97,32,102,114,111,122,101,110,32,109,111,100,117,108,101,114, 19,0,0,0,41,4,114,65,0,0,0,218,9,105,115,95, 102,114,111,122,101,110,114,88,0,0,0,114,51,0,0,0, - 114,89,0,0,0,63,63,128,114,5,0,0,0,218,24,95, + 114,89,0,0,0,1,1,128,114,5,0,0,0,218,24,95, 114,101,113,117,105,114,101,115,95,102,114,111,122,101,110,95, 119,114,97,112,112,101,114,9,1,0,0,114,93,0,0,0, 114,17,0,0,0,122,50,95,114,101,113,117,105,114,101,115, @@ -479,7 +479,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 46,95,114,101,113,117,105,114,101,115,95,102,114,111,122,101, 110,95,119,114,97,112,112,101,114,78,114,94,0,0,0,41, 3,114,91,0,0,0,114,99,0,0,0,114,91,0,0,0, - 127,63,64,114,5,0,0,0,218,16,95,114,101,113,117,105, + 65,1,64,114,5,0,0,0,218,16,95,114,101,113,117,105, 114,101,115,95,102,114,111,122,101,110,7,1,0,0,114,96, 0,0,0,114,17,0,0,0,114,100,0,0,0,99,2,0, 0,0,0,0,0,0,0,0,0,0,4,0,0,0,67,0, @@ -510,7 +510,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 7,109,111,100,117,108,101,115,218,5,95,101,120,101,99,218, 5,95,108,111,97,100,41,5,114,34,0,0,0,114,90,0, 0,0,218,3,109,115,103,218,4,115,112,101,99,218,6,109, - 111,100,117,108,101,63,63,63,63,63,114,5,0,0,0,218, + 111,100,117,108,101,1,1,1,1,1,114,5,0,0,0,218, 17,95,108,111,97,100,95,109,111,100,117,108,101,95,115,104, 105,109,19,1,0,0,115,16,0,0,0,4,6,12,2,10, 1,10,1,10,1,10,1,10,1,8,2,114,17,0,0,0, @@ -544,7 +544,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 2,0,0,0,218,8,95,95,102,105,108,101,95,95,114,51, 0,0,0,41,5,114,110,0,0,0,218,6,108,111,97,100, 101,114,114,109,0,0,0,114,20,0,0,0,218,8,102,105, - 108,101,110,97,109,101,63,63,63,63,63,114,5,0,0,0, + 108,101,110,97,109,101,1,1,1,1,1,114,5,0,0,0, 218,12,95,109,111,100,117,108,101,95,114,101,112,114,38,1, 0,0,115,56,0,0,0,12,2,16,1,8,1,10,1,2, 1,10,1,2,128,12,1,4,1,2,128,2,2,8,1,2, @@ -670,7 +670,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 110,115,218,13,95,115,101,116,95,102,105,108,101,97,116,116, 114,218,7,95,99,97,99,104,101,100,41,6,114,34,0,0, 0,114,20,0,0,0,114,122,0,0,0,114,126,0,0,0, - 114,127,0,0,0,114,128,0,0,0,63,63,63,63,63,63, + 114,127,0,0,0,114,128,0,0,0,1,1,1,1,1,1, 114,5,0,0,0,114,35,0,0,0,101,1,0,0,115,14, 0,0,0,6,2,6,1,6,1,6,1,14,1,6,3,10, 1,114,17,0,0,0,122,19,77,111,100,117,108,101,83,112, @@ -692,7 +692,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 126,0,0,0,218,6,97,112,112,101,110,100,114,129,0,0, 0,218,9,95,95,99,108,97,115,115,95,95,114,8,0,0, 0,218,4,106,111,105,110,41,2,114,34,0,0,0,114,63, - 0,0,0,63,63,114,5,0,0,0,114,54,0,0,0,113, + 0,0,0,1,1,114,5,0,0,0,114,54,0,0,0,113, 1,0,0,115,20,0,0,0,10,1,10,1,4,255,10,2, 18,1,10,1,6,1,8,1,4,255,22,2,114,17,0,0, 0,122,19,77,111,100,117,108,101,83,112,101,99,46,95,95, @@ -710,7 +710,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 95,108,111,99,97,116,105,111,110,114,2,0,0,0,218,14, 78,111,116,73,109,112,108,101,109,101,110,116,101,100,41,3, 114,34,0,0,0,90,5,111,116,104,101,114,90,4,115,109, - 115,108,63,63,63,114,5,0,0,0,218,6,95,95,101,113, + 115,108,1,1,1,114,5,0,0,0,218,6,95,95,101,113, 95,95,123,1,0,0,115,36,0,0,0,6,1,2,1,12, 1,10,1,2,255,10,2,2,254,8,3,2,253,10,4,2, 252,10,5,2,251,2,128,12,6,8,1,2,128,2,255,115, @@ -726,14 +726,14 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 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, - 99,104,101,100,114,53,0,0,0,63,114,5,0,0,0,114, + 99,104,101,100,114,53,0,0,0,1,114,5,0,0,0,114, 135,0,0,0,135,1,0,0,115,12,0,0,0,10,2,16, 1,8,1,4,1,14,1,6,1,114,17,0,0,0,122,17, 77,111,100,117,108,101,83,112,101,99,46,99,97,99,104,101, 100,99,2,0,0,0,0,0,0,0,0,0,0,0,2,0, 0,0,67,0,0,0,115,10,0,0,0,124,1,124,0,95, 0,100,0,83,0,114,0,0,0,0,41,1,114,131,0,0, - 0,41,2,114,34,0,0,0,114,135,0,0,0,63,63,114, + 0,41,2,114,34,0,0,0,114,135,0,0,0,1,1,114, 5,0,0,0,114,135,0,0,0,144,1,0,0,115,2,0, 0,0,10,2,114,17,0,0,0,99,1,0,0,0,0,0, 0,0,0,0,0,0,3,0,0,0,67,0,0,0,115,32, @@ -743,22 +743,22 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 111,102,32,116,104,101,32,109,111,100,117,108,101,39,115,32, 112,97,114,101,110,116,46,78,218,1,46,114,26,0,0,0, 41,3,114,129,0,0,0,114,20,0,0,0,218,10,114,112, - 97,114,116,105,116,105,111,110,114,53,0,0,0,63,114,5, + 97,114,116,105,116,105,111,110,114,53,0,0,0,1,114,5, 0,0,0,218,6,112,97,114,101,110,116,148,1,0,0,115, 6,0,0,0,10,3,16,1,6,2,114,17,0,0,0,122, 17,77,111,100,117,108,101,83,112,101,99,46,112,97,114,101, 110,116,99,1,0,0,0,0,0,0,0,0,0,0,0,1, 0,0,0,67,0,0,0,115,6,0,0,0,124,0,106,0, 83,0,114,0,0,0,0,41,1,114,130,0,0,0,114,53, - 0,0,0,63,114,5,0,0,0,114,136,0,0,0,156,1, + 0,0,0,1,114,5,0,0,0,114,136,0,0,0,156,1, 0,0,115,2,0,0,0,6,2,114,17,0,0,0,122,23, 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, 0,0,0,0,2,0,0,0,67,0,0,0,115,14,0,0, 0,116,0,124,1,131,1,124,0,95,1,100,0,83,0,114, 0,0,0,0,41,2,218,4,98,111,111,108,114,130,0,0, - 0,41,2,114,34,0,0,0,218,5,118,97,108,117,101,63, - 63,114,5,0,0,0,114,136,0,0,0,160,1,0,0,115, + 0,41,2,114,34,0,0,0,218,5,118,97,108,117,101,1, + 1,114,5,0,0,0,114,136,0,0,0,160,1,0,0,115, 2,0,0,0,14,2,114,17,0,0,0,41,12,114,8,0, 0,0,114,7,0,0,0,114,1,0,0,0,114,9,0,0, 0,114,35,0,0,0,114,54,0,0,0,114,138,0,0,0, @@ -792,7 +792,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 105,111,110,114,128,0,0,0,114,88,0,0,0,114,125,0, 0,0,41,6,114,20,0,0,0,114,122,0,0,0,114,126, 0,0,0,114,128,0,0,0,114,149,0,0,0,90,6,115, - 101,97,114,99,104,63,63,63,63,63,63,114,5,0,0,0, + 101,97,114,99,104,1,1,1,1,1,1,114,5,0,0,0, 114,104,0,0,0,165,1,0,0,115,42,0,0,0,10,2, 8,1,4,1,6,1,8,2,12,1,12,1,6,1,2,1, 6,255,8,3,10,1,2,1,12,1,2,128,12,1,8,1, @@ -827,8 +827,8 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 0,0,0,114,135,0,0,0,114,129,0,0,0,41,8,114, 110,0,0,0,114,122,0,0,0,114,126,0,0,0,114,109, 0,0,0,114,20,0,0,0,90,8,108,111,99,97,116,105, - 111,110,114,135,0,0,0,114,129,0,0,0,63,63,63,63, - 63,63,63,63,114,5,0,0,0,218,17,95,115,112,101,99, + 111,110,114,135,0,0,0,114,129,0,0,0,1,1,1,1, + 1,1,1,1,114,5,0,0,0,218,17,95,115,112,101,99, 95,102,114,111,109,95,109,111,100,117,108,101,191,1,0,0, 115,108,0,0,0,2,2,8,1,2,128,12,1,4,1,2, 128,8,2,4,1,6,2,8,1,2,1,8,1,2,128,12, @@ -886,8 +886,8 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 158,0,0,0,114,113,0,0,0,114,154,0,0,0,114,136, 0,0,0,114,126,0,0,0,114,135,0,0,0,114,152,0, 0,0,41,5,114,109,0,0,0,114,110,0,0,0,114,157, - 0,0,0,114,122,0,0,0,114,159,0,0,0,63,63,63, - 63,63,114,5,0,0,0,218,18,95,105,110,105,116,95,109, + 0,0,0,114,122,0,0,0,114,159,0,0,0,1,1,1, + 1,1,114,5,0,0,0,218,18,95,105,110,105,116,95,109, 111,100,117,108,101,95,97,116,116,114,115,236,1,0,0,115, 142,0,0,0,20,4,2,1,10,1,2,128,12,1,4,1, 2,128,20,2,6,1,8,1,10,2,8,1,4,1,6,1, @@ -925,7 +925,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 41,41,7,114,10,0,0,0,114,122,0,0,0,114,162,0, 0,0,114,88,0,0,0,114,21,0,0,0,114,20,0,0, 0,114,161,0,0,0,169,2,114,109,0,0,0,114,110,0, - 0,0,63,63,114,5,0,0,0,218,16,109,111,100,117,108, + 0,0,1,1,114,5,0,0,0,218,16,109,111,100,117,108, 101,95,102,114,111,109,95,115,112,101,99,52,2,0,0,115, 18,0,0,0,4,3,12,1,14,3,12,1,8,1,8,2, 10,1,10,1,4,1,114,17,0,0,0,114,165,0,0,0, @@ -944,7 +944,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 109,111,100,117,108,101,32,123,33,114,125,32,40,123,125,41, 62,41,5,114,20,0,0,0,114,126,0,0,0,114,122,0, 0,0,114,51,0,0,0,114,136,0,0,0,41,2,114,109, - 0,0,0,114,20,0,0,0,63,63,114,5,0,0,0,114, + 0,0,0,114,20,0,0,0,1,1,114,5,0,0,0,114, 119,0,0,0,69,2,0,0,115,16,0,0,0,20,3,10, 1,10,1,10,1,14,2,6,2,14,1,16,2,114,17,0, 0,0,114,119,0,0,0,99,2,0,0,0,0,0,0,0, @@ -987,7 +987,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 109,112,111,114,116,87,97,114,110,105,110,103,218,11,108,111, 97,100,95,109,111,100,117,108,101,114,163,0,0,0,218,3, 112,111,112,41,4,114,109,0,0,0,114,110,0,0,0,114, - 20,0,0,0,114,108,0,0,0,63,63,63,63,114,5,0, + 20,0,0,0,114,108,0,0,0,1,1,1,1,114,5,0, 0,0,114,106,0,0,0,86,2,0,0,115,50,0,0,0, 6,2,10,1,16,1,10,1,12,1,2,1,10,1,10,1, 14,1,16,2,14,2,12,1,16,1,12,2,14,1,12,2, @@ -1021,7 +1021,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 0,114,171,0,0,0,114,12,0,0,0,114,112,0,0,0, 114,2,0,0,0,114,8,0,0,0,114,158,0,0,0,114, 10,0,0,0,114,142,0,0,0,114,113,0,0,0,114,164, - 0,0,0,63,63,114,5,0,0,0,218,25,95,108,111,97, + 0,0,0,1,1,114,5,0,0,0,218,25,95,108,111,97, 100,95,98,97,99,107,119,97,114,100,95,99,111,109,112,97, 116,105,98,108,101,116,2,0,0,115,80,0,0,0,2,3, 16,1,2,128,6,1,12,1,14,1,12,1,2,1,2,128, @@ -1060,7 +1060,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 114,105,0,0,0,114,20,0,0,0,114,129,0,0,0,114, 88,0,0,0,114,163,0,0,0,114,71,0,0,0,114,171, 0,0,0,114,84,0,0,0,41,3,114,109,0,0,0,114, - 108,0,0,0,114,110,0,0,0,63,63,63,114,5,0,0, + 108,0,0,0,114,110,0,0,0,1,1,1,114,5,0,0, 0,218,14,95,108,111,97,100,95,117,110,108,111,99,107,101, 100,152,2,0,0,115,66,0,0,0,10,2,12,2,16,1, 12,2,8,1,8,2,6,5,2,1,12,1,2,1,10,1, @@ -1090,7 +1090,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 117,108,101,32,103,101,116,115,10,32,32,32,32,99,108,111, 98,98,101,114,101,100,46,10,10,32,32,32,32,78,41,3, 114,58,0,0,0,114,20,0,0,0,114,173,0,0,0,169, - 1,114,109,0,0,0,63,114,5,0,0,0,114,107,0,0, + 1,114,109,0,0,0,1,114,5,0,0,0,114,107,0,0, 0,197,2,0,0,115,10,0,0,0,12,9,6,1,14,255, 22,128,4,0,115,12,0,0,0,133,4,16,3,144,4,20, 11,149,3,20,11,114,107,0,0,0,99,0,0,0,0,0, @@ -1134,7 +1134,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 32,51,46,49,50,122,8,60,109,111,100,117,108,101,32,122, 2,32,40,122,2,41,62,78,41,6,114,101,0,0,0,114, 102,0,0,0,114,103,0,0,0,114,8,0,0,0,114,175, - 0,0,0,114,151,0,0,0,169,1,114,110,0,0,0,63, + 0,0,0,114,151,0,0,0,169,1,114,110,0,0,0,1, 114,5,0,0,0,114,114,0,0,0,223,2,0,0,115,8, 0,0,0,6,7,2,1,4,255,22,2,114,17,0,0,0, 122,27,66,117,105,108,116,105,110,73,109,112,111,114,116,101, @@ -1147,7 +1147,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 0,90,10,105,115,95,98,117,105,108,116,105,110,114,104,0, 0,0,114,151,0,0,0,169,4,218,3,99,108,115,114,90, 0,0,0,218,4,112,97,116,104,218,6,116,97,114,103,101, - 116,63,63,63,63,114,5,0,0,0,218,9,102,105,110,100, + 116,1,1,1,1,114,5,0,0,0,218,9,102,105,110,100, 95,115,112,101,99,234,2,0,0,115,10,0,0,0,8,2, 4,1,10,1,16,1,4,2,114,17,0,0,0,122,25,66, 117,105,108,116,105,110,73,109,112,111,114,116,101,114,46,102, @@ -1176,8 +1176,8 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 99,40,41,32,105,110,115,116,101,97,100,78,41,5,114,101, 0,0,0,114,102,0,0,0,114,103,0,0,0,114,183,0, 0,0,114,122,0,0,0,41,4,114,180,0,0,0,114,90, - 0,0,0,114,181,0,0,0,114,109,0,0,0,63,63,63, - 63,114,5,0,0,0,218,11,102,105,110,100,95,109,111,100, + 0,0,0,114,181,0,0,0,114,109,0,0,0,1,1,1, + 1,114,5,0,0,0,218,11,102,105,110,100,95,109,111,100, 117,108,101,243,2,0,0,115,10,0,0,0,6,9,2,2, 4,254,12,3,18,1,114,17,0,0,0,122,27,66,117,105, 108,116,105,110,73,109,112,111,114,116,101,114,46,102,105,110, @@ -1192,7 +1192,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 0,0,0,114,87,0,0,0,114,88,0,0,0,114,51,0, 0,0,114,75,0,0,0,114,65,0,0,0,90,14,99,114, 101,97,116,101,95,98,117,105,108,116,105,110,114,174,0,0, - 0,63,114,5,0,0,0,114,162,0,0,0,2,3,0,0, + 0,1,114,5,0,0,0,114,162,0,0,0,2,3,0,0, 115,10,0,0,0,12,3,12,1,4,1,6,255,12,2,114, 17,0,0,0,122,29,66,117,105,108,116,105,110,73,109,112, 111,114,116,101,114,46,99,114,101,97,116,101,95,109,111,100, @@ -1202,7 +1202,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 22,69,120,101,99,32,97,32,98,117,105,108,116,45,105,110, 32,109,111,100,117,108,101,78,41,3,114,75,0,0,0,114, 65,0,0,0,90,12,101,120,101,99,95,98,117,105,108,116, - 105,110,114,177,0,0,0,63,114,5,0,0,0,114,163,0, + 105,110,114,177,0,0,0,1,114,5,0,0,0,114,163,0, 0,0,10,3,0,0,115,2,0,0,0,16,3,114,17,0, 0,0,122,27,66,117,105,108,116,105,110,73,109,112,111,114, 116,101,114,46,101,120,101,99,95,109,111,100,117,108,101,99, @@ -1212,7 +1212,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 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, 101,32,111,98,106,101,99,116,115,46,78,114,23,0,0,0, - 169,2,114,180,0,0,0,114,90,0,0,0,63,63,114,5, + 169,2,114,180,0,0,0,114,90,0,0,0,1,1,114,5, 0,0,0,218,8,103,101,116,95,99,111,100,101,15,3,0, 0,243,2,0,0,0,4,4,114,17,0,0,0,122,24,66, 117,105,108,116,105,110,73,109,112,111,114,116,101,114,46,103, @@ -1222,7 +1222,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 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, 32,115,111,117,114,99,101,32,99,111,100,101,46,78,114,23, - 0,0,0,114,186,0,0,0,63,63,114,5,0,0,0,218, + 0,0,0,114,186,0,0,0,1,1,114,5,0,0,0,218, 10,103,101,116,95,115,111,117,114,99,101,21,3,0,0,114, 188,0,0,0,114,17,0,0,0,122,26,66,117,105,108,116, 105,110,73,109,112,111,114,116,101,114,46,103,101,116,95,115, @@ -1232,7 +1232,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 97,115,32,98,117,105,108,116,45,105,110,32,109,111,100,117, 108,101,115,32,97,114,101,32,110,101,118,101,114,32,112,97, 99,107,97,103,101,115,46,70,78,114,23,0,0,0,114,186, - 0,0,0,63,63,114,5,0,0,0,114,128,0,0,0,27, + 0,0,0,1,1,114,5,0,0,0,114,128,0,0,0,27, 3,0,0,114,188,0,0,0,114,17,0,0,0,122,26,66, 117,105,108,116,105,110,73,109,112,111,114,116,101,114,46,105, 115,95,112,97,99,107,97,103,101,169,2,78,78,114,0,0, @@ -1281,7 +1281,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 49,50,114,166,0,0,0,78,41,7,114,101,0,0,0,114, 102,0,0,0,114,103,0,0,0,114,51,0,0,0,114,8, 0,0,0,114,193,0,0,0,114,151,0,0,0,41,1,218, - 1,109,63,114,5,0,0,0,114,114,0,0,0,47,3,0, + 1,109,1,114,5,0,0,0,114,114,0,0,0,47,3,0, 0,115,8,0,0,0,6,7,2,1,4,255,16,2,114,17, 0,0,0,122,26,70,114,111,122,101,110,73,109,112,111,114, 116,101,114,46,109,111,100,117,108,101,95,114,101,112,114,78, @@ -1290,7 +1290,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 161,1,114,13,116,2,124,1,124,0,124,0,106,3,100,1, 141,3,83,0,100,0,83,0,114,178,0,0,0,41,4,114, 65,0,0,0,114,98,0,0,0,114,104,0,0,0,114,151, - 0,0,0,114,179,0,0,0,63,63,63,63,114,5,0,0, + 0,0,0,114,179,0,0,0,1,1,1,1,114,5,0,0, 0,114,183,0,0,0,58,3,0,0,115,6,0,0,0,10, 2,16,1,4,2,114,17,0,0,0,122,24,70,114,111,122, 101,110,73,109,112,111,114,116,101,114,46,102,105,110,100,95, @@ -1313,7 +1313,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 32,105,110,115,116,101,97,100,78,41,5,114,101,0,0,0, 114,102,0,0,0,114,103,0,0,0,114,65,0,0,0,114, 98,0,0,0,41,3,114,180,0,0,0,114,90,0,0,0, - 114,181,0,0,0,63,63,63,114,5,0,0,0,114,184,0, + 114,181,0,0,0,1,1,1,114,5,0,0,0,114,184,0, 0,0,65,3,0,0,115,8,0,0,0,6,7,2,2,4, 254,18,3,114,17,0,0,0,122,26,70,114,111,122,101,110, 73,109,112,111,114,116,101,114,46,102,105,110,100,95,109,111, @@ -1322,7 +1322,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 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, 108,101,32,99,114,101,97,116,105,111,110,46,78,114,23,0, - 0,0,114,174,0,0,0,63,114,5,0,0,0,114,162,0, + 0,0,114,174,0,0,0,1,114,5,0,0,0,114,162,0, 0,0,77,3,0,0,115,2,0,0,0,4,0,114,17,0, 0,0,122,28,70,114,111,122,101,110,73,109,112,111,114,116, 101,114,46,99,114,101,97,116,101,95,109,111,100,117,108,101, @@ -1337,7 +1337,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 75,0,0,0,218,17,103,101,116,95,102,114,111,122,101,110, 95,111,98,106,101,99,116,218,4,101,120,101,99,114,13,0, 0,0,41,3,114,110,0,0,0,114,20,0,0,0,218,4, - 99,111,100,101,63,63,63,114,5,0,0,0,114,163,0,0, + 99,111,100,101,1,1,1,114,5,0,0,0,114,163,0,0, 0,81,3,0,0,115,14,0,0,0,8,2,10,1,10,1, 2,1,6,255,12,2,16,1,114,17,0,0,0,122,26,70, 114,111,122,101,110,73,109,112,111,114,116,101,114,46,101,120, @@ -1350,7 +1350,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 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, - 78,41,1,114,111,0,0,0,114,186,0,0,0,63,63,114, + 78,41,1,114,111,0,0,0,114,186,0,0,0,1,1,114, 5,0,0,0,114,170,0,0,0,90,3,0,0,115,2,0, 0,0,10,8,114,17,0,0,0,122,26,70,114,111,122,101, 110,73,109,112,111,114,116,101,114,46,108,111,97,100,95,109, @@ -1360,7 +1360,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 117,114,110,32,116,104,101,32,99,111,100,101,32,111,98,106, 101,99,116,32,102,111,114,32,116,104,101,32,102,114,111,122, 101,110,32,109,111,100,117,108,101,46,78,41,2,114,65,0, - 0,0,114,195,0,0,0,114,186,0,0,0,63,63,114,5, + 0,0,114,195,0,0,0,114,186,0,0,0,1,1,114,5, 0,0,0,114,187,0,0,0,100,3,0,0,243,2,0,0, 0,10,4,114,17,0,0,0,122,23,70,114,111,122,101,110, 73,109,112,111,114,116,101,114,46,103,101,116,95,99,111,100, @@ -1370,7 +1370,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 111,122,101,110,32,109,111,100,117,108,101,115,32,100,111,32, 110,111,116,32,104,97,118,101,32,115,111,117,114,99,101,32, 99,111,100,101,46,78,114,23,0,0,0,114,186,0,0,0, - 63,63,114,5,0,0,0,114,189,0,0,0,106,3,0,0, + 1,1,114,5,0,0,0,114,189,0,0,0,106,3,0,0, 114,188,0,0,0,114,17,0,0,0,122,25,70,114,111,122, 101,110,73,109,112,111,114,116,101,114,46,103,101,116,95,115, 111,117,114,99,101,99,2,0,0,0,0,0,0,0,0,0, @@ -1380,7 +1380,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 117,108,101,32,105,115,32,97,32,112,97,99,107,97,103,101, 46,78,41,2,114,65,0,0,0,90,17,105,115,95,102,114, 111,122,101,110,95,112,97,99,107,97,103,101,114,186,0,0, - 0,63,63,114,5,0,0,0,114,128,0,0,0,112,3,0, + 0,1,1,114,5,0,0,0,114,128,0,0,0,112,3,0, 0,114,199,0,0,0,114,17,0,0,0,122,25,70,114,111, 122,101,110,73,109,112,111,114,116,101,114,46,105,115,95,112, 97,99,107,97,103,101,114,190,0,0,0,114,0,0,0,0, @@ -1407,7 +1407,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 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, 46,78,41,2,114,65,0,0,0,114,66,0,0,0,114,53, - 0,0,0,63,114,5,0,0,0,114,62,0,0,0,125,3, + 0,0,0,1,114,5,0,0,0,114,62,0,0,0,125,3, 0,0,243,2,0,0,0,12,2,114,17,0,0,0,122,28, 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, @@ -1419,8 +1419,8 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 116,105,111,110,115,46,78,41,2,114,65,0,0,0,114,68, 0,0,0,41,4,114,34,0,0,0,218,8,101,120,99,95, 116,121,112,101,218,9,101,120,99,95,118,97,108,117,101,218, - 13,101,120,99,95,116,114,97,99,101,98,97,99,107,63,63, - 63,63,114,5,0,0,0,114,64,0,0,0,129,3,0,0, + 13,101,120,99,95,116,114,97,99,101,98,97,99,107,1,1, + 1,1,114,5,0,0,0,114,64,0,0,0,129,3,0,0, 114,202,0,0,0,114,17,0,0,0,122,27,95,73,109,112, 111,114,116,76,111,99,107,67,111,110,116,101,120,116,46,95, 95,101,120,105,116,95,95,78,41,6,114,8,0,0,0,114, @@ -1445,7 +1445,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 6,114,115,112,108,105,116,218,3,108,101,110,114,88,0,0, 0,114,51,0,0,0,41,5,114,20,0,0,0,218,7,112, 97,99,107,97,103,101,218,5,108,101,118,101,108,90,4,98, - 105,116,115,90,4,98,97,115,101,63,63,63,63,63,114,5, + 105,116,115,90,4,98,97,115,101,1,1,1,1,1,114,5, 0,0,0,218,13,95,114,101,115,111,108,118,101,95,110,97, 109,101,134,3,0,0,115,10,0,0,0,16,2,12,1,8, 1,8,1,20,1,114,17,0,0,0,114,211,0,0,0,99, @@ -1461,8 +1461,8 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 6,114,6,0,0,0,114,101,0,0,0,114,102,0,0,0, 114,169,0,0,0,114,184,0,0,0,114,104,0,0,0,41, 5,218,6,102,105,110,100,101,114,114,20,0,0,0,114,181, - 0,0,0,114,108,0,0,0,114,122,0,0,0,63,63,63, - 63,63,114,5,0,0,0,218,17,95,102,105,110,100,95,115, + 0,0,0,114,108,0,0,0,114,122,0,0,0,1,1,1, + 1,1,114,5,0,0,0,218,17,95,102,105,110,100,95,115, 112,101,99,95,108,101,103,97,99,121,143,3,0,0,115,12, 0,0,0,14,1,12,2,12,1,8,1,4,1,10,1,114, 17,0,0,0,114,213,0,0,0,99,3,0,0,0,0,0, @@ -1499,8 +1499,8 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 114,20,0,0,0,114,181,0,0,0,114,182,0,0,0,114, 214,0,0,0,90,9,105,115,95,114,101,108,111,97,100,114, 212,0,0,0,114,183,0,0,0,114,109,0,0,0,114,110, - 0,0,0,114,113,0,0,0,63,63,63,63,63,63,63,63, - 63,63,114,5,0,0,0,218,10,95,102,105,110,100,95,115, + 0,0,0,114,113,0,0,0,1,1,1,1,1,1,1,1, + 1,1,114,5,0,0,0,218,10,95,102,105,110,100,95,115, 112,101,99,153,3,0,0,115,76,0,0,0,6,2,8,1, 8,2,4,3,12,1,10,5,8,1,8,1,2,1,8,1, 2,128,12,1,12,1,8,1,2,1,12,250,4,5,2,128, @@ -1536,7 +1536,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 115,116,114,218,9,84,121,112,101,69,114,114,111,114,114,51, 0,0,0,114,3,0,0,0,218,10,86,97,108,117,101,69, 114,114,111,114,114,88,0,0,0,169,3,114,20,0,0,0, - 114,209,0,0,0,114,210,0,0,0,63,63,63,114,5,0, + 114,209,0,0,0,114,210,0,0,0,1,1,1,114,5,0, 0,0,218,13,95,115,97,110,105,116,121,95,99,104,101,99, 107,200,3,0,0,115,24,0,0,0,10,2,18,1,8,1, 8,1,8,1,10,1,8,1,4,1,8,1,12,2,8,1, @@ -1577,7 +1577,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 112,111,114,116,95,114,181,0,0,0,114,143,0,0,0,90, 13,112,97,114,101,110,116,95,109,111,100,117,108,101,114,108, 0,0,0,114,109,0,0,0,114,110,0,0,0,90,5,99, - 104,105,108,100,63,63,63,63,63,63,63,63,63,114,5,0, + 104,105,108,100,1,1,1,1,1,1,1,1,1,114,5,0, 0,0,218,23,95,102,105,110,100,95,97,110,100,95,108,111, 97,100,95,117,110,108,111,99,107,101,100,219,3,0,0,115, 68,0,0,0,4,1,14,1,4,1,10,1,10,1,10,2, @@ -1606,7 +1606,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 0,0,218,14,95,78,69,69,68,83,95,76,79,65,68,73, 78,71,114,226,0,0,0,114,51,0,0,0,114,224,0,0, 0,114,73,0,0,0,41,4,114,20,0,0,0,114,225,0, - 0,0,114,110,0,0,0,114,83,0,0,0,63,63,63,63, + 0,0,114,110,0,0,0,114,83,0,0,0,1,1,1,1, 114,5,0,0,0,218,14,95,102,105,110,100,95,97,110,100, 95,108,111,97,100,254,3,0,0,115,30,0,0,0,10,2, 14,1,8,1,8,1,14,253,2,2,12,254,22,128,8,5, @@ -1638,7 +1638,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 111,97,100,101,114,32,100,105,100,32,110,111,116,46,10,10, 32,32,32,32,114,26,0,0,0,78,41,4,114,221,0,0, 0,114,211,0,0,0,114,228,0,0,0,218,11,95,103,99, - 100,95,105,109,112,111,114,116,114,220,0,0,0,63,63,63, + 100,95,105,109,112,111,114,116,114,220,0,0,0,1,1,1, 114,5,0,0,0,114,229,0,0,0,14,4,0,0,115,8, 0,0,0,12,9,8,1,12,1,10,1,114,17,0,0,0, 114,229,0,0,0,169,1,218,9,114,101,99,117,114,115,105, @@ -1686,8 +1686,8 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 227,0,0,0,41,8,114,110,0,0,0,218,8,102,114,111, 109,108,105,115,116,114,225,0,0,0,114,231,0,0,0,218, 1,120,90,5,119,104,101,114,101,90,9,102,114,111,109,95, - 110,97,109,101,90,3,101,120,99,63,63,63,63,63,63,63, - 63,114,5,0,0,0,114,234,0,0,0,29,4,0,0,115, + 110,97,109,101,90,3,101,120,99,1,1,1,1,1,1,1, + 1,114,5,0,0,0,114,234,0,0,0,29,4,0,0,115, 58,0,0,0,8,10,10,1,4,1,12,1,4,2,10,1, 8,1,8,255,8,2,14,1,10,1,2,1,6,255,2,128, 10,2,14,1,2,1,12,1,2,128,12,1,10,4,16,1, @@ -1731,7 +1731,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 0,0,114,143,0,0,0,114,101,0,0,0,114,102,0,0, 0,114,169,0,0,0,114,142,0,0,0,41,3,218,7,103, 108,111,98,97,108,115,114,209,0,0,0,114,109,0,0,0, - 63,63,63,114,5,0,0,0,218,17,95,99,97,108,99,95, + 1,1,1,114,5,0,0,0,218,17,95,99,97,108,99,95, 95,95,112,97,99,107,97,103,101,95,95,66,4,0,0,115, 42,0,0,0,10,7,10,1,8,1,18,1,6,1,2,1, 4,255,4,1,6,255,4,2,6,254,4,3,8,1,6,1, @@ -1787,7 +1787,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 239,0,0,0,218,6,108,111,99,97,108,115,114,235,0,0, 0,114,210,0,0,0,114,110,0,0,0,90,8,103,108,111, 98,97,108,115,95,114,209,0,0,0,90,7,99,117,116,95, - 111,102,102,63,63,63,63,63,63,63,63,63,114,5,0,0, + 111,102,102,1,1,1,1,1,1,1,1,1,114,5,0,0, 0,218,10,95,95,105,109,112,111,114,116,95,95,93,4,0, 0,115,30,0,0,0,8,11,10,1,16,2,8,1,12,1, 4,1,8,3,18,1,4,1,4,1,26,4,30,3,10,1, @@ -1799,7 +1799,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 78,122,25,110,111,32,98,117,105,108,116,45,105,110,32,109, 111,100,117,108,101,32,110,97,109,101,100,32,41,4,114,175, 0,0,0,114,183,0,0,0,114,88,0,0,0,114,173,0, - 0,0,41,2,114,20,0,0,0,114,109,0,0,0,63,63, + 0,0,41,2,114,20,0,0,0,114,109,0,0,0,1,1, 114,5,0,0,0,218,18,95,98,117,105,108,116,105,110,95, 102,114,111,109,95,110,97,109,101,130,4,0,0,115,8,0, 0,0,10,1,8,1,12,1,8,1,114,17,0,0,0,114, @@ -1843,8 +1843,8 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 114,110,0,0,0,114,122,0,0,0,114,109,0,0,0,90, 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, - 116,105,110,95,109,111,100,117,108,101,63,63,63,63,63,63, - 63,63,63,63,114,5,0,0,0,218,6,95,115,101,116,117, + 116,105,110,95,109,111,100,117,108,101,1,1,1,1,1,1, + 1,1,1,1,114,5,0,0,0,218,6,95,115,101,116,117, 112,137,4,0,0,115,40,0,0,0,4,9,4,1,8,3, 18,1,10,1,10,1,6,1,10,1,6,1,2,2,10,1, 10,1,2,128,10,3,8,1,10,1,10,1,10,2,14,1, @@ -1858,7 +1858,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 100,32,102,114,111,122,101,110,32,109,111,100,117,108,101,115, 78,41,6,114,248,0,0,0,114,18,0,0,0,114,214,0, 0,0,114,132,0,0,0,114,175,0,0,0,114,193,0,0, - 0,41,2,114,246,0,0,0,114,247,0,0,0,63,63,114, + 0,41,2,114,246,0,0,0,114,247,0,0,0,1,1,114, 5,0,0,0,218,8,95,105,110,115,116,97,108,108,172,4, 0,0,115,6,0,0,0,10,2,12,2,16,1,114,17,0, 0,0,114,249,0,0,0,99,0,0,0,0,0,0,0,0, @@ -1873,7 +1873,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 105,109,112,111,114,116,108,105,98,95,101,120,116,101,114,110, 97,108,114,139,0,0,0,114,249,0,0,0,114,18,0,0, 0,114,105,0,0,0,114,8,0,0,0,41,1,114,250,0, - 0,0,63,114,5,0,0,0,218,27,95,105,110,115,116,97, + 0,0,1,114,5,0,0,0,218,27,95,105,110,115,116,97, 108,108,95,101,120,116,101,114,110,97,108,95,105,109,112,111, 114,116,101,114,115,180,4,0,0,115,6,0,0,0,8,3, 4,1,20,1,114,17,0,0,0,114,251,0,0,0,114,190, diff --git a/Python/importlib_external.h b/Python/importlib_external.h index 0ff2ed15b9c5f0..e32feb06ac2daa 100644 --- a/Python/importlib_external.h +++ b/Python/importlib_external.h @@ -77,7 +77,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 0,115,28,0,0,0,129,0,124,0,93,9,125,1,116,0, 124,1,131,1,100,0,107,2,86,0,1,0,113,2,100,1, 83,0,41,2,233,1,0,0,0,78,41,1,218,3,108,101, - 110,41,2,218,2,46,48,218,3,115,101,112,63,63,250,38, + 110,41,2,218,2,46,48,218,3,115,101,112,1,1,250,38, 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, 101,114,110,97,108,62,218,9,60,103,101,110,101,120,112,114, @@ -86,7 +86,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 0,0,0,0,0,0,0,4,0,0,0,67,0,0,0,115, 22,0,0,0,104,0,124,0,93,7,125,1,100,0,124,1, 155,0,157,2,146,2,113,2,83,0,41,1,250,1,58,169, - 0,41,2,114,5,0,0,0,218,1,115,63,63,114,7,0, + 0,41,2,114,5,0,0,0,218,1,115,1,1,114,7,0, 0,0,218,9,60,115,101,116,99,111,109,112,62,50,0,0, 0,115,2,0,0,0,22,0,114,9,0,0,0,114,14,0, 0,0,41,1,218,3,119,105,110,41,2,90,6,99,121,103, @@ -129,7 +129,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 84,73,86,69,95,80,76,65,84,70,79,82,77,83,218,35, 95,67,65,83,69,95,73,78,83,69,78,83,73,84,73,86, 69,95,80,76,65,84,70,79,82,77,83,95,83,84,82,95, - 75,69,89,41,2,114,22,0,0,0,114,21,0,0,0,63, + 75,69,89,41,2,114,22,0,0,0,114,21,0,0,0,1, 64,114,7,0,0,0,218,16,95,109,97,107,101,95,114,101, 108,97,120,95,99,97,115,101,60,0,0,0,115,16,0,0, 0,12,1,12,1,6,1,4,2,12,2,4,7,8,253,4, @@ -142,7 +142,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 101,110,100,105,97,110,46,236,3,0,0,0,255,127,255,127, 3,0,233,4,0,0,0,218,6,108,105,116,116,108,101,78, 41,2,218,3,105,110,116,218,8,116,111,95,98,121,116,101, - 115,41,1,218,1,120,63,114,7,0,0,0,218,12,95,112, + 115,41,1,218,1,120,1,114,7,0,0,0,218,12,95,112, 97,99,107,95,117,105,110,116,51,50,79,0,0,0,114,23, 0,0,0,114,9,0,0,0,114,37,0,0,0,99,1,0, 0,0,0,0,0,0,0,0,0,0,4,0,0,0,67,0, @@ -154,7 +154,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 116,101,103,101,114,46,114,32,0,0,0,114,33,0,0,0, 78,169,3,114,4,0,0,0,114,34,0,0,0,218,10,102, 114,111,109,95,98,121,116,101,115,169,1,218,4,100,97,116, - 97,63,114,7,0,0,0,218,14,95,117,110,112,97,99,107, + 97,1,114,7,0,0,0,218,14,95,117,110,112,97,99,107, 95,117,105,110,116,51,50,84,0,0,0,243,4,0,0,0, 16,2,12,1,114,9,0,0,0,114,43,0,0,0,99,1, 0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,67, @@ -163,7 +163,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 105,116,116,108,101,45,101,110,100,105,97,110,32,116,111,32, 97,110,32,105,110,116,101,103,101,114,46,233,2,0,0,0, 114,33,0,0,0,78,114,39,0,0,0,114,41,0,0,0, - 63,114,7,0,0,0,218,14,95,117,110,112,97,99,107,95, + 1,114,7,0,0,0,218,14,95,117,110,112,97,99,107,95, 117,105,110,116,49,54,89,0,0,0,114,44,0,0,0,114, 9,0,0,0,114,46,0,0,0,99,0,0,0,0,0,0, 0,0,0,0,0,0,4,0,0,0,71,0,0,0,115,228, @@ -190,7 +190,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 124,1,114,2,124,1,160,0,116,1,161,1,145,2,113,2, 83,0,114,12,0,0,0,169,2,218,6,114,115,116,114,105, 112,218,15,112,97,116,104,95,115,101,112,97,114,97,116,111, - 114,115,41,2,114,5,0,0,0,218,1,112,63,63,114,7, + 114,115,41,2,114,5,0,0,0,218,1,112,1,1,114,7, 0,0,0,218,10,60,108,105,115,116,99,111,109,112,62,119, 0,0,0,115,2,0,0,0,26,0,114,9,0,0,0,250, 30,95,112,97,116,104,95,106,111,105,110,46,60,108,111,99, @@ -204,7 +204,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 6,97,112,112,101,110,100,218,4,106,111,105,110,41,5,218, 10,112,97,116,104,95,112,97,114,116,115,218,4,114,111,111, 116,218,4,112,97,116,104,90,8,110,101,119,95,114,111,111, - 116,218,4,116,97,105,108,63,63,63,63,63,114,7,0,0, + 116,218,4,116,97,105,108,1,1,1,1,1,114,7,0,0, 0,218,10,95,112,97,116,104,95,106,111,105,110,96,0,0, 0,115,42,0,0,0,4,2,4,1,12,1,8,1,4,1, 4,1,20,1,20,1,14,1,12,1,10,1,16,1,4,3, @@ -216,10 +216,10 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 1,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0, 83,0,0,0,114,48,0,0,0,114,12,0,0,0,114,49, 0,0,0,41,2,114,5,0,0,0,218,4,112,97,114,116, - 63,63,114,7,0,0,0,114,53,0,0,0,128,0,0,0, + 1,1,114,7,0,0,0,114,53,0,0,0,128,0,0,0, 115,6,0,0,0,6,0,6,1,14,255,114,9,0,0,0, 114,54,0,0,0,78,41,2,114,59,0,0,0,114,62,0, - 0,0,41,1,114,63,0,0,0,63,114,7,0,0,0,114, + 0,0,41,1,114,63,0,0,0,1,114,7,0,0,0,114, 67,0,0,0,126,0,0,0,115,6,0,0,0,10,2,2, 1,8,255,114,9,0,0,0,99,1,0,0,0,0,0,0, 0,0,0,0,0,4,0,0,0,3,0,0,0,115,66,0, @@ -234,14 +234,14 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 0,0,129,0,124,0,93,8,125,1,136,0,160,0,124,1, 161,1,86,0,1,0,113,2,100,0,83,0,169,1,78,41, 1,218,5,114,102,105,110,100,41,3,114,5,0,0,0,114, - 52,0,0,0,114,65,0,0,0,63,63,128,114,7,0,0, + 52,0,0,0,114,65,0,0,0,1,1,128,114,7,0,0, 0,114,8,0,0,0,134,0,0,0,115,4,0,0,0,6, 128,20,0,114,9,0,0,0,122,30,95,112,97,116,104,95, 115,112,108,105,116,46,60,108,111,99,97,108,115,62,46,60, 103,101,110,101,120,112,114,62,114,0,0,0,0,114,10,0, 0,0,78,114,3,0,0,0,41,2,218,3,109,97,120,114, 51,0,0,0,41,3,114,65,0,0,0,218,1,105,114,65, - 0,0,0,127,63,64,114,7,0,0,0,218,11,95,112,97, + 0,0,0,65,1,64,114,7,0,0,0,218,11,95,112,97, 116,104,95,115,112,108,105,116,132,0,0,0,115,8,0,0, 0,22,2,8,1,8,1,28,1,114,9,0,0,0,114,73, 0,0,0,99,1,0,0,0,0,0,0,0,0,0,0,0, @@ -255,7 +255,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 101,110,116,115,10,32,32,32,32,40,101,46,103,46,32,99, 97,99,104,101,32,115,116,97,116,32,114,101,115,117,108,116, 115,41,46,10,10,32,32,32,32,78,41,2,114,19,0,0, - 0,90,4,115,116,97,116,169,1,114,65,0,0,0,63,114, + 0,90,4,115,116,97,116,169,1,114,65,0,0,0,1,114, 7,0,0,0,218,10,95,112,97,116,104,95,115,116,97,116, 140,0,0,0,115,2,0,0,0,10,7,114,9,0,0,0, 114,75,0,0,0,99,2,0,0,0,0,0,0,0,0,0, @@ -269,8 +269,8 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 32,116,121,112,101,46,70,105,0,240,0,0,78,41,3,114, 75,0,0,0,218,7,79,83,69,114,114,111,114,218,7,115, 116,95,109,111,100,101,41,3,114,65,0,0,0,218,4,109, - 111,100,101,90,9,115,116,97,116,95,105,110,102,111,63,63, - 63,114,7,0,0,0,218,18,95,112,97,116,104,95,105,115, + 111,100,101,90,9,115,116,97,116,95,105,110,102,111,1,1, + 1,114,7,0,0,0,218,18,95,112,97,116,104,95,105,115, 95,109,111,100,101,95,116,121,112,101,150,0,0,0,115,16, 0,0,0,2,2,10,1,2,128,12,1,6,1,2,128,14, 1,2,254,115,12,0,0,0,129,4,6,0,134,7,16,7, @@ -280,7 +280,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 31,82,101,112,108,97,99,101,109,101,110,116,32,102,111,114, 32,111,115,46,112,97,116,104,46,105,115,102,105,108,101,46, 105,0,128,0,0,78,41,1,114,79,0,0,0,114,74,0, - 0,0,63,114,7,0,0,0,218,12,95,112,97,116,104,95, + 0,0,1,114,7,0,0,0,218,12,95,112,97,116,104,95, 105,115,102,105,108,101,159,0,0,0,243,2,0,0,0,10, 2,114,9,0,0,0,114,80,0,0,0,99,1,0,0,0, 0,0,0,0,0,0,0,0,3,0,0,0,67,0,0,0, @@ -289,7 +289,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 101,112,108,97,99,101,109,101,110,116,32,102,111,114,32,111, 115,46,112,97,116,104,46,105,115,100,105,114,46,105,0,64, 0,0,78,41,3,114,19,0,0,0,218,6,103,101,116,99, - 119,100,114,79,0,0,0,114,74,0,0,0,63,114,7,0, + 119,100,114,79,0,0,0,114,74,0,0,0,1,114,7,0, 0,0,218,11,95,112,97,116,104,95,105,115,100,105,114,164, 0,0,0,115,6,0,0,0,4,2,8,1,10,1,114,9, 0,0,0,114,83,0,0,0,99,1,0,0,0,0,0,0, @@ -304,14 +304,14 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 0,0,114,3,0,0,0,122,2,92,92,78,41,6,114,19, 0,0,0,114,56,0,0,0,218,7,114,101,112,108,97,99, 101,114,4,0,0,0,114,27,0,0,0,114,58,0,0,0, - 41,2,114,65,0,0,0,114,64,0,0,0,63,63,114,7, + 41,2,114,65,0,0,0,114,64,0,0,0,1,1,114,7, 0,0,0,218,11,95,112,97,116,104,95,105,115,97,98,115, 172,0,0,0,115,8,0,0,0,4,2,4,1,22,1,32, 1,114,9,0,0,0,114,86,0,0,0,99,1,0,0,0, 0,0,0,0,0,0,0,0,3,0,0,0,67,0,0,0, 115,10,0,0,0,124,0,160,0,116,1,161,1,83,0,41, 2,114,84,0,0,0,78,41,2,114,27,0,0,0,114,51, - 0,0,0,114,74,0,0,0,63,114,7,0,0,0,114,86, + 0,0,0,114,74,0,0,0,1,114,7,0,0,0,114,86, 0,0,0,180,0,0,0,114,81,0,0,0,114,9,0,0, 0,233,182,1,0,0,99,3,0,0,0,0,0,0,0,0, 0,0,0,11,0,0,0,67,0,0,0,115,178,0,0,0, @@ -345,7 +345,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 101,114,85,0,0,0,114,76,0,0,0,90,6,117,110,108, 105,110,107,41,6,114,65,0,0,0,114,42,0,0,0,114, 78,0,0,0,90,8,112,97,116,104,95,116,109,112,90,2, - 102,100,218,4,102,105,108,101,63,63,63,63,63,63,114,7, + 102,100,218,4,102,105,108,101,1,1,1,1,1,1,114,7, 0,0,0,218,13,95,119,114,105,116,101,95,97,116,111,109, 105,99,185,0,0,0,115,44,0,0,0,16,5,6,1,22, 1,4,255,2,2,14,3,10,1,12,255,22,128,16,2,2, @@ -467,8 +467,8 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 101,97,100,114,66,0,0,0,90,4,98,97,115,101,114,6, 0,0,0,218,4,114,101,115,116,90,3,116,97,103,90,15, 97,108,109,111,115,116,95,102,105,108,101,110,97,109,101,218, - 8,102,105,108,101,110,97,109,101,63,63,63,63,63,63,63, - 63,63,63,63,63,114,7,0,0,0,218,17,99,97,99,104, + 8,102,105,108,101,110,97,109,101,1,1,1,1,1,1,1, + 1,1,1,1,1,114,7,0,0,0,218,17,99,97,99,104, 101,95,102,114,111,109,95,115,111,117,114,99,101,128,1,0, 0,115,72,0,0,0,8,18,6,1,2,1,4,255,8,2, 4,1,8,1,12,1,10,1,12,1,16,1,8,1,8,1, @@ -548,8 +548,8 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 101,100,95,112,97,116,104,90,7,112,121,99,97,99,104,101, 90,9,100,111,116,95,99,111,117,110,116,114,96,0,0,0, 90,9,111,112,116,95,108,101,118,101,108,90,13,98,97,115, - 101,95,102,105,108,101,110,97,109,101,63,63,63,63,63,63, - 63,63,63,63,114,7,0,0,0,218,17,115,111,117,114,99, + 101,95,102,105,108,101,110,97,109,101,1,1,1,1,1,1, + 1,1,1,1,114,7,0,0,0,218,17,115,111,117,114,99, 101,95,102,114,111,109,95,99,97,99,104,101,199,1,0,0, 115,60,0,0,0,12,9,8,1,10,1,12,1,4,1,10, 1,12,1,14,1,16,1,4,1,4,1,12,1,8,1,8, @@ -584,7 +584,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 0,0,0,41,5,218,13,98,121,116,101,99,111,100,101,95, 112,97,116,104,114,119,0,0,0,218,1,95,90,9,101,120, 116,101,110,115,105,111,110,218,11,115,111,117,114,99,101,95, - 112,97,116,104,63,63,63,63,63,114,7,0,0,0,218,15, + 112,97,116,104,1,1,1,1,1,114,7,0,0,0,218,15, 95,103,101,116,95,115,111,117,114,99,101,102,105,108,101,239, 1,0,0,115,26,0,0,0,12,7,4,1,16,1,24,1, 4,1,2,1,10,1,2,128,16,1,16,1,2,128,16,1, @@ -598,7 +598,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 83,0,100,0,83,0,119,0,114,69,0,0,0,41,6,114, 58,0,0,0,218,5,116,117,112,108,101,114,127,0,0,0, 114,121,0,0,0,114,107,0,0,0,114,113,0,0,0,41, - 1,114,120,0,0,0,63,114,7,0,0,0,218,11,95,103, + 1,114,120,0,0,0,1,114,7,0,0,0,218,11,95,103, 101,116,95,99,97,99,104,101,100,2,2,0,0,115,22,0, 0,0,14,1,2,1,8,1,2,128,12,1,6,1,2,128, 14,1,4,1,4,2,2,251,115,12,0,0,0,136,3,12, @@ -613,7 +613,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 111,114,32,97,32,98,121,116,101,99,111,100,101,32,102,105, 108,101,46,114,87,0,0,0,233,128,0,0,0,78,41,3, 114,75,0,0,0,114,77,0,0,0,114,76,0,0,0,41, - 2,114,65,0,0,0,114,78,0,0,0,63,63,114,7,0, + 2,114,65,0,0,0,114,78,0,0,0,1,1,114,7,0, 0,0,218,10,95,99,97,108,99,95,109,111,100,101,14,2, 0,0,115,18,0,0,0,2,2,12,1,2,128,12,1,8, 1,2,128,8,3,4,1,2,251,115,12,0,0,0,129,5, @@ -651,7 +651,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 141,0,0,0,218,11,73,109,112,111,114,116,69,114,114,111, 114,41,5,218,4,115,101,108,102,114,141,0,0,0,218,4, 97,114,103,115,218,6,107,119,97,114,103,115,218,6,109,101, - 116,104,111,100,63,63,63,63,128,114,7,0,0,0,218,19, + 116,104,111,100,1,1,1,1,128,114,7,0,0,0,218,19, 95,99,104,101,99,107,95,110,97,109,101,95,119,114,97,112, 112,101,114,34,2,0,0,115,18,0,0,0,8,1,8,1, 10,1,4,1,12,1,2,255,2,1,6,255,24,2,114,9, @@ -670,14 +670,14 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 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, 41,3,90,3,110,101,119,90,3,111,108,100,114,85,0,0, - 0,63,63,63,114,7,0,0,0,218,5,95,119,114,97,112, + 0,1,1,1,114,7,0,0,0,218,5,95,119,114,97,112, 47,2,0,0,115,10,0,0,0,8,1,10,1,18,1,2, 128,18,1,114,9,0,0,0,122,26,95,99,104,101,99,107, 95,110,97,109,101,46,60,108,111,99,97,108,115,62,46,95, 119,114,97,112,114,69,0,0,0,41,2,218,10,95,98,111, 111,116,115,116,114,97,112,114,157,0,0,0,41,4,114,146, 0,0,0,114,147,0,0,0,114,157,0,0,0,114,146,0, - 0,0,127,63,63,64,114,7,0,0,0,218,11,95,99,104, + 0,0,65,1,1,64,114,7,0,0,0,218,11,95,99,104, 101,99,107,95,110,97,109,101,26,2,0,0,115,12,0,0, 0,14,8,8,10,8,1,8,2,10,6,4,1,114,9,0, 0,0,114,159,0,0,0,99,2,0,0,0,0,0,0,0, @@ -711,7 +711,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 218,13,73,109,112,111,114,116,87,97,114,110,105,110,103,41, 5,114,143,0,0,0,218,8,102,117,108,108,110,97,109,101, 218,6,108,111,97,100,101,114,218,8,112,111,114,116,105,111, - 110,115,218,3,109,115,103,63,63,63,63,63,114,7,0,0, + 110,115,218,3,109,115,103,1,1,1,1,1,114,7,0,0, 0,218,17,95,102,105,110,100,95,109,111,100,117,108,101,95, 115,104,105,109,57,2,0,0,115,16,0,0,0,6,7,2, 2,4,254,14,6,16,1,4,1,22,1,4,1,114,9,0, @@ -778,8 +778,8 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 0,114,4,0,0,0,218,8,69,79,70,69,114,114,111,114, 114,43,0,0,0,41,6,114,42,0,0,0,114,141,0,0, 0,218,11,101,120,99,95,100,101,116,97,105,108,115,90,5, - 109,97,103,105,99,114,117,0,0,0,114,17,0,0,0,63, - 63,63,63,63,63,114,7,0,0,0,218,13,95,99,108,97, + 109,97,103,105,99,114,117,0,0,0,114,17,0,0,0,1, + 1,1,1,1,1,114,7,0,0,0,218,13,95,99,108,97, 115,115,105,102,121,95,112,121,99,77,2,0,0,115,28,0, 0,0,12,16,8,1,16,1,12,1,16,1,12,1,10,1, 12,1,8,1,16,1,8,2,16,1,16,1,4,1,114,9, @@ -833,7 +833,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 142,0,0,0,41,6,114,42,0,0,0,218,12,115,111,117, 114,99,101,95,109,116,105,109,101,218,11,115,111,117,114,99, 101,95,115,105,122,101,114,141,0,0,0,114,174,0,0,0, - 114,117,0,0,0,63,63,63,63,63,63,114,7,0,0,0, + 114,117,0,0,0,1,1,1,1,1,1,114,7,0,0,0, 218,23,95,118,97,108,105,100,97,116,101,95,116,105,109,101, 115,116,97,109,112,95,112,121,99,110,2,0,0,115,18,0, 0,0,24,19,10,1,12,1,16,1,8,1,22,1,2,255, @@ -879,7 +879,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 32,109,97,116,99,104,32,104,97,115,104,32,111,102,32,115, 111,117,114,99,101,32,78,41,1,114,142,0,0,0,41,4, 114,42,0,0,0,218,11,115,111,117,114,99,101,95,104,97, - 115,104,114,141,0,0,0,114,174,0,0,0,63,63,63,63, + 115,104,114,141,0,0,0,114,174,0,0,0,1,1,1,1, 114,7,0,0,0,218,18,95,118,97,108,105,100,97,116,101, 95,104,97,115,104,95,112,121,99,138,2,0,0,115,14,0, 0,0,16,17,2,1,8,1,4,255,2,2,6,254,4,255, @@ -903,7 +903,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 95,102,105,120,95,99,111,95,102,105,108,101,110,97,109,101, 114,142,0,0,0,114,89,0,0,0,41,5,114,42,0,0, 0,114,141,0,0,0,114,132,0,0,0,114,134,0,0,0, - 218,4,99,111,100,101,63,63,63,63,63,114,7,0,0,0, + 218,4,99,111,100,101,1,1,1,1,1,114,7,0,0,0, 218,17,95,99,111,109,112,105,108,101,95,98,121,116,101,99, 111,100,101,162,2,0,0,115,18,0,0,0,10,2,10,1, 12,1,8,1,12,1,4,1,10,2,4,1,6,255,114,9, @@ -921,7 +921,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 6,101,120,116,101,110,100,114,37,0,0,0,114,183,0,0, 0,218,5,100,117,109,112,115,41,4,114,187,0,0,0,218, 5,109,116,105,109,101,114,178,0,0,0,114,42,0,0,0, - 63,63,63,63,114,7,0,0,0,218,22,95,99,111,100,101, + 1,1,1,1,114,7,0,0,0,218,22,95,99,111,100,101, 95,116,111,95,116,105,109,101,115,116,97,109,112,95,112,121, 99,175,2,0,0,115,12,0,0,0,8,2,14,1,14,1, 14,1,16,1,4,1,114,9,0,0,0,114,193,0,0,0, @@ -939,7 +939,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 0,114,37,0,0,0,114,4,0,0,0,114,183,0,0,0, 114,191,0,0,0,41,5,114,187,0,0,0,114,180,0,0, 0,90,7,99,104,101,99,107,101,100,114,42,0,0,0,114, - 17,0,0,0,63,63,63,63,63,114,7,0,0,0,218,17, + 17,0,0,0,1,1,1,1,1,114,7,0,0,0,218,17, 95,99,111,100,101,95,116,111,95,104,97,115,104,95,112,121, 99,185,2,0,0,115,14,0,0,0,8,2,12,1,14,1, 16,1,10,1,16,1,4,1,114,9,0,0,0,114,194,0, @@ -966,8 +966,8 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 95,98,121,116,101,115,114,195,0,0,0,90,21,115,111,117, 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, - 119,108,105,110,101,95,100,101,99,111,100,101,114,63,63,63, - 63,63,114,7,0,0,0,218,13,100,101,99,111,100,101,95, + 119,108,105,110,101,95,100,101,99,111,100,101,114,1,1,1, + 1,1,114,7,0,0,0,218,13,100,101,99,111,100,101,95, 115,111,117,114,99,101,196,2,0,0,115,10,0,0,0,8, 5,12,1,10,1,12,1,20,1,114,9,0,0,0,114,199, 0,0,0,169,2,114,163,0,0,0,218,26,115,117,98,109, @@ -1031,7 +1031,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 110,114,163,0,0,0,114,201,0,0,0,218,4,115,112,101, 99,218,12,108,111,97,100,101,114,95,99,108,97,115,115,218, 8,115,117,102,102,105,120,101,115,114,205,0,0,0,90,7, - 100,105,114,110,97,109,101,63,63,63,63,63,63,63,63,63, + 100,105,114,110,97,109,101,1,1,1,1,1,1,1,1,1, 114,7,0,0,0,218,23,115,112,101,99,95,102,114,111,109, 95,102,105,108,101,95,108,111,99,97,116,105,111,110,213,2, 0,0,115,96,0,0,0,8,12,4,4,10,1,2,2,12, @@ -1074,7 +1074,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 112,101,110,75,101,121,90,17,72,75,69,89,95,67,85,82, 82,69,78,84,95,85,83,69,82,114,76,0,0,0,90,18, 72,75,69,89,95,76,79,67,65,76,95,77,65,67,72,73, - 78,69,114,20,0,0,0,63,114,7,0,0,0,218,14,95, + 78,69,114,20,0,0,0,1,114,7,0,0,0,218,14,95, 111,112,101,110,95,114,101,103,105,115,116,114,121,42,3,0, 0,115,14,0,0,0,2,2,14,1,2,128,12,1,18,1, 2,128,2,255,115,12,0,0,0,129,6,8,0,136,14,24, @@ -1102,7 +1102,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 97,108,117,101,114,76,0,0,0,41,6,218,3,99,108,115, 114,162,0,0,0,90,12,114,101,103,105,115,116,114,121,95, 107,101,121,114,21,0,0,0,90,4,104,107,101,121,218,8, - 102,105,108,101,112,97,116,104,63,63,63,63,63,63,114,7, + 102,105,108,101,112,97,116,104,1,1,1,1,1,1,114,7, 0,0,0,218,16,95,115,101,97,114,99,104,95,114,101,103, 105,115,116,114,121,49,3,0,0,115,34,0,0,0,6,2, 8,1,6,2,6,1,16,1,6,255,2,2,12,1,12,1, @@ -1128,7 +1128,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 109,95,108,111,97,100,101,114,41,8,114,220,0,0,0,114, 162,0,0,0,114,65,0,0,0,218,6,116,97,114,103,101, 116,114,221,0,0,0,114,163,0,0,0,114,211,0,0,0, - 114,209,0,0,0,63,63,63,63,63,63,63,63,114,7,0, + 114,209,0,0,0,1,1,1,1,1,1,1,1,114,7,0, 0,0,218,9,102,105,110,100,95,115,112,101,99,64,3,0, 0,115,38,0,0,0,10,2,8,1,4,1,2,1,10,1, 2,128,12,1,6,1,2,128,14,1,14,1,6,1,8,1, @@ -1157,7 +1157,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 97,100,78,169,5,114,99,0,0,0,114,100,0,0,0,114, 101,0,0,0,114,225,0,0,0,114,163,0,0,0,169,4, 114,220,0,0,0,114,162,0,0,0,114,65,0,0,0,114, - 209,0,0,0,63,63,63,63,114,7,0,0,0,218,11,102, + 209,0,0,0,1,1,1,1,114,7,0,0,0,218,11,102, 105,110,100,95,109,111,100,117,108,101,80,3,0,0,115,14, 0,0,0,6,7,2,2,4,254,12,3,8,1,6,1,4, 2,114,9,0,0,0,122,33,87,105,110,100,111,119,115,82, @@ -1206,7 +1206,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 0,0,114,104,0,0,0,41,5,114,143,0,0,0,114,162, 0,0,0,114,120,0,0,0,90,13,102,105,108,101,110,97, 109,101,95,98,97,115,101,90,9,116,97,105,108,95,110,97, - 109,101,63,63,63,63,63,114,7,0,0,0,114,205,0,0, + 109,101,1,1,1,1,1,114,7,0,0,0,114,205,0,0, 0,102,3,0,0,115,8,0,0,0,18,3,16,1,14,1, 16,1,114,9,0,0,0,122,24,95,76,111,97,100,101,114, 66,97,115,105,99,115,46,105,115,95,112,97,99,107,97,103, @@ -1215,7 +1215,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 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, 99,114,101,97,116,105,111,110,46,78,114,12,0,0,0,169, - 2,114,143,0,0,0,114,209,0,0,0,63,63,114,7,0, + 2,114,143,0,0,0,114,209,0,0,0,1,1,114,7,0, 0,0,218,13,99,114,101,97,116,101,95,109,111,100,117,108, 101,110,3,0,0,243,2,0,0,0,4,0,114,9,0,0, 0,122,27,95,76,111,97,100,101,114,66,97,115,105,99,115, @@ -1235,7 +1235,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 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, 155,0,0,0,41,3,114,143,0,0,0,218,6,109,111,100, - 117,108,101,114,187,0,0,0,63,63,63,114,7,0,0,0, + 117,108,101,114,187,0,0,0,1,1,1,114,7,0,0,0, 218,11,101,120,101,99,95,109,111,100,117,108,101,113,3,0, 0,115,12,0,0,0,12,2,8,1,4,1,8,1,4,255, 20,2,114,9,0,0,0,122,25,95,76,111,97,100,101,114, @@ -1246,7 +1246,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 32,109,101,116,104,111,100,32,105,115,32,100,101,112,114,101, 99,97,116,101,100,46,78,41,2,114,158,0,0,0,218,17, 95,108,111,97,100,95,109,111,100,117,108,101,95,115,104,105, - 109,169,2,114,143,0,0,0,114,162,0,0,0,63,63,114, + 109,169,2,114,143,0,0,0,114,162,0,0,0,1,1,114, 7,0,0,0,218,11,108,111,97,100,95,109,111,100,117,108, 101,121,3,0,0,115,2,0,0,0,12,3,114,9,0,0, 0,122,25,95,76,111,97,100,101,114,66,97,115,105,99,115, @@ -1277,7 +1277,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 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, 78,41,1,114,76,0,0,0,169,2,114,143,0,0,0,114, - 65,0,0,0,63,63,114,7,0,0,0,218,10,112,97,116, + 65,0,0,0,1,1,114,7,0,0,0,218,10,112,97,116, 104,95,109,116,105,109,101,129,3,0,0,115,2,0,0,0, 4,6,114,9,0,0,0,122,23,83,111,117,114,99,101,76, 111,97,100,101,114,46,112,97,116,104,95,109,116,105,109,101, @@ -1310,8 +1310,8 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 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, 108,101,100,46,10,32,32,32,32,32,32,32,32,114,192,0, - 0,0,78,41,1,114,250,0,0,0,114,249,0,0,0,63, - 63,114,7,0,0,0,218,10,112,97,116,104,95,115,116,97, + 0,0,78,41,1,114,250,0,0,0,114,249,0,0,0,1, + 1,114,7,0,0,0,218,10,112,97,116,104,95,115,116,97, 116,115,137,3,0,0,115,2,0,0,0,14,12,114,9,0, 0,0,122,23,83,111,117,114,99,101,76,111,97,100,101,114, 46,112,97,116,104,95,115,116,97,116,115,99,4,0,0,0, @@ -1334,7 +1334,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 10,32,32,32,32,32,32,32,32,78,41,1,218,8,115,101, 116,95,100,97,116,97,41,4,114,143,0,0,0,114,134,0, 0,0,90,10,99,97,99,104,101,95,112,97,116,104,114,42, - 0,0,0,63,63,63,63,114,7,0,0,0,218,15,95,99, + 0,0,0,1,1,1,1,114,7,0,0,0,218,15,95,99, 97,99,104,101,95,98,121,116,101,99,111,100,101,151,3,0, 0,115,2,0,0,0,12,8,114,9,0,0,0,122,28,83, 111,117,114,99,101,76,111,97,100,101,114,46,95,99,97,99, @@ -1351,7 +1351,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 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, 114,12,0,0,0,41,3,114,143,0,0,0,114,65,0,0, - 0,114,42,0,0,0,63,63,63,114,7,0,0,0,114,252, + 0,114,42,0,0,0,1,1,1,114,7,0,0,0,114,252, 0,0,0,161,3,0,0,114,239,0,0,0,114,9,0,0, 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, @@ -1370,7 +1370,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 5,114,202,0,0,0,218,8,103,101,116,95,100,97,116,97, 114,76,0,0,0,114,142,0,0,0,114,199,0,0,0,41, 5,114,143,0,0,0,114,162,0,0,0,114,65,0,0,0, - 114,197,0,0,0,218,3,101,120,99,63,63,63,63,63,114, + 114,197,0,0,0,218,3,101,120,99,1,1,1,1,1,114, 7,0,0,0,218,10,103,101,116,95,115,111,117,114,99,101, 168,3,0,0,115,26,0,0,0,10,2,2,1,10,1,8, 4,2,128,12,253,4,1,2,1,4,255,2,1,2,255,10, @@ -1394,7 +1394,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 114,105,116,114,108,0,0,0,78,41,3,114,158,0,0,0, 114,241,0,0,0,218,7,99,111,109,112,105,108,101,41,4, 114,143,0,0,0,114,42,0,0,0,114,65,0,0,0,114, - 1,1,0,0,63,63,63,63,114,7,0,0,0,218,14,115, + 1,1,0,0,1,1,1,1,114,7,0,0,0,218,14,115, 111,117,114,99,101,95,116,111,95,99,111,100,101,178,3,0, 0,115,6,0,0,0,12,5,4,1,6,255,114,9,0,0, 0,122,27,83,111,117,114,99,101,76,111,97,100,101,114,46, @@ -1471,8 +1471,8 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 104,101,99,107,95,115,111,117,114,99,101,114,132,0,0,0, 218,2,115,116,114,42,0,0,0,114,174,0,0,0,114,17, 0,0,0,90,10,98,121,116,101,115,95,100,97,116,97,90, - 11,99,111,100,101,95,111,98,106,101,99,116,63,63,63,63, - 63,63,63,63,63,63,63,63,63,63,63,114,7,0,0,0, + 11,99,111,100,101,95,111,98,106,101,99,116,1,1,1,1, + 1,1,1,1,1,1,1,1,1,1,1,114,7,0,0,0, 114,240,0,0,0,186,3,0,0,115,188,0,0,0,10,7, 4,1,4,1,4,1,4,1,4,1,2,1,10,1,2,128, 14,1,8,1,2,128,2,2,12,1,2,128,14,1,4,1, @@ -1522,7 +1522,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 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, 101,114,46,78,114,182,0,0,0,41,3,114,143,0,0,0, - 114,162,0,0,0,114,65,0,0,0,63,63,63,114,7,0, + 114,162,0,0,0,114,65,0,0,0,1,1,1,114,7,0, 0,0,114,235,0,0,0,20,4,0,0,115,4,0,0,0, 6,3,10,1,114,9,0,0,0,122,19,70,105,108,101,76, 111,97,100,101,114,46,95,95,105,110,105,116,95,95,99,2, @@ -1531,7 +1531,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 107,2,111,11,124,0,106,1,124,1,106,1,107,2,83,0, 114,69,0,0,0,169,2,218,9,95,95,99,108,97,115,115, 95,95,114,155,0,0,0,169,2,114,143,0,0,0,90,5, - 111,116,104,101,114,63,63,114,7,0,0,0,218,6,95,95, + 111,116,104,101,114,1,1,114,7,0,0,0,218,6,95,95, 101,113,95,95,26,4,0,0,243,6,0,0,0,12,1,10, 1,2,255,114,9,0,0,0,122,17,70,105,108,101,76,111, 97,100,101,114,46,95,95,101,113,95,95,99,1,0,0,0, @@ -1539,7 +1539,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 243,20,0,0,0,116,0,124,0,106,1,131,1,116,0,124, 0,106,2,131,1,65,0,83,0,114,69,0,0,0,169,3, 218,4,104,97,115,104,114,141,0,0,0,114,65,0,0,0, - 169,1,114,143,0,0,0,63,114,7,0,0,0,218,8,95, + 169,1,114,143,0,0,0,1,114,7,0,0,0,218,8,95, 95,104,97,115,104,95,95,30,4,0,0,243,2,0,0,0, 20,1,114,9,0,0,0,122,19,70,105,108,101,76,111,97, 100,101,114,46,95,95,104,97,115,104,95,95,99,2,0,0, @@ -1554,7 +1554,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 101,97,100,46,10,10,32,32,32,32,32,32,32,32,78,41, 3,218,5,115,117,112,101,114,114,10,1,0,0,114,247,0, 0,0,41,3,114,143,0,0,0,114,162,0,0,0,114,13, - 1,0,0,63,63,128,114,7,0,0,0,114,247,0,0,0, + 1,0,0,1,1,128,114,7,0,0,0,114,247,0,0,0, 33,4,0,0,115,2,0,0,0,16,10,114,9,0,0,0, 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, @@ -1564,7 +1564,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 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, 105,110,100,101,114,46,78,114,74,0,0,0,114,246,0,0, - 0,63,63,114,7,0,0,0,114,202,0,0,0,45,4,0, + 0,1,1,114,7,0,0,0,114,202,0,0,0,45,4,0, 0,243,2,0,0,0,6,3,114,9,0,0,0,122,23,70, 105,108,101,76,111,97,100,101,114,46,103,101,116,95,102,105, 108,101,110,97,109,101,99,2,0,0,0,0,0,0,0,0, @@ -1585,7 +1585,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 108,101,76,111,97,100,101,114,114,91,0,0,0,90,9,111, 112,101,110,95,99,111,100,101,114,109,0,0,0,90,4,114, 101,97,100,114,92,0,0,0,41,3,114,143,0,0,0,114, - 65,0,0,0,114,94,0,0,0,63,63,63,114,7,0,0, + 65,0,0,0,114,94,0,0,0,1,1,1,114,7,0,0, 0,114,254,0,0,0,50,4,0,0,115,22,0,0,0,14, 2,16,1,6,1,14,255,22,128,4,0,14,3,6,1,14, 255,22,128,4,0,115,24,0,0,0,142,4,25,3,153,4, @@ -1598,7 +1598,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 10,70,105,108,101,82,101,97,100,101,114,41,2,218,17,105, 109,112,111,114,116,108,105,98,46,114,101,97,100,101,114,115, 114,29,1,0,0,41,3,114,143,0,0,0,114,243,0,0, - 0,114,29,1,0,0,63,63,63,114,7,0,0,0,218,19, + 0,114,29,1,0,0,1,1,1,114,7,0,0,0,218,19, 103,101,116,95,114,101,115,111,117,114,99,101,95,114,101,97, 100,101,114,59,4,0,0,115,4,0,0,0,12,2,8,1, 114,9,0,0,0,122,30,70,105,108,101,76,111,97,100,101, @@ -1630,7 +1630,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 41,2,114,192,0,0,0,114,5,1,0,0,78,41,3,114, 75,0,0,0,218,8,115,116,95,109,116,105,109,101,90,7, 115,116,95,115,105,122,101,41,3,114,143,0,0,0,114,65, - 0,0,0,114,9,1,0,0,63,63,63,114,7,0,0,0, + 0,0,0,114,9,1,0,0,1,1,1,114,7,0,0,0, 114,251,0,0,0,69,4,0,0,115,4,0,0,0,8,2, 14,1,114,9,0,0,0,122,27,83,111,117,114,99,101,70, 105,108,101,76,111,97,100,101,114,46,112,97,116,104,95,115, @@ -1640,7 +1640,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 100,1,166,3,83,0,41,2,78,169,1,218,5,95,109,111, 100,101,41,2,114,139,0,0,0,114,252,0,0,0,41,5, 114,143,0,0,0,114,134,0,0,0,114,132,0,0,0,114, - 42,0,0,0,114,78,0,0,0,63,63,63,63,63,114,7, + 42,0,0,0,114,78,0,0,0,1,1,1,1,1,114,7, 0,0,0,114,253,0,0,0,74,4,0,0,115,4,0,0, 0,8,2,16,1,114,9,0,0,0,122,32,83,111,117,114, 99,101,70,105,108,101,76,111,97,100,101,114,46,95,99,97, @@ -1675,8 +1675,8 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 0,114,95,0,0,0,41,9,114,143,0,0,0,114,65,0, 0,0,114,42,0,0,0,114,35,1,0,0,218,6,112,97, 114,101,110,116,114,120,0,0,0,114,63,0,0,0,114,68, - 0,0,0,114,255,0,0,0,63,63,63,63,63,63,63,63, - 63,114,7,0,0,0,114,252,0,0,0,79,4,0,0,115, + 0,0,0,114,255,0,0,0,1,1,1,1,1,1,1,1, + 1,114,7,0,0,0,114,252,0,0,0,79,4,0,0,115, 60,0,0,0,12,2,4,1,12,2,12,1,10,1,12,254, 12,4,10,1,2,1,12,1,2,128,12,1,4,2,12,1, 6,3,4,1,4,255,14,2,10,128,2,1,12,1,16,1, @@ -1710,8 +1710,8 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 0,0,0,114,132,0,0,0,41,5,114,202,0,0,0,114, 254,0,0,0,114,175,0,0,0,114,188,0,0,0,114,6, 1,0,0,41,5,114,143,0,0,0,114,162,0,0,0,114, - 65,0,0,0,114,42,0,0,0,114,174,0,0,0,63,63, - 63,63,63,114,7,0,0,0,114,240,0,0,0,114,4,0, + 65,0,0,0,114,42,0,0,0,114,174,0,0,0,1,1, + 1,1,1,114,7,0,0,0,114,240,0,0,0,114,4,0, 0,115,22,0,0,0,10,1,10,1,2,4,2,1,6,254, 12,4,2,1,14,1,2,1,2,1,6,253,114,9,0,0, 0,122,29,83,111,117,114,99,101,108,101,115,115,70,105,108, @@ -1721,7 +1721,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 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, 99,111,100,101,46,78,114,12,0,0,0,114,246,0,0,0, - 63,63,114,7,0,0,0,114,0,1,0,0,130,4,0,0, + 1,1,114,7,0,0,0,114,0,1,0,0,130,4,0,0, 114,25,0,0,0,114,9,0,0,0,122,31,83,111,117,114, 99,101,108,101,115,115,70,105,108,101,76,111,97,100,101,114, 46,103,101,116,95,115,111,117,114,99,101,78,41,6,114,149, @@ -1747,19 +1747,19 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 0,0,0,67,0,0,0,115,16,0,0,0,124,1,124,0, 95,0,124,2,124,0,95,1,100,0,83,0,114,69,0,0, 0,114,182,0,0,0,41,3,114,143,0,0,0,114,141,0, - 0,0,114,65,0,0,0,63,63,63,114,7,0,0,0,114, + 0,0,114,65,0,0,0,1,1,1,114,7,0,0,0,114, 235,0,0,0,143,4,0,0,115,4,0,0,0,6,1,10, 1,114,9,0,0,0,122,28,69,120,116,101,110,115,105,111, 110,70,105,108,101,76,111,97,100,101,114,46,95,95,105,110, 105,116,95,95,99,2,0,0,0,0,0,0,0,0,0,0, 0,2,0,0,0,67,0,0,0,114,11,1,0,0,114,69, - 0,0,0,114,12,1,0,0,114,14,1,0,0,63,63,114, + 0,0,0,114,12,1,0,0,114,14,1,0,0,1,1,114, 7,0,0,0,114,15,1,0,0,147,4,0,0,114,16,1, 0,0,114,9,0,0,0,122,26,69,120,116,101,110,115,105, 111,110,70,105,108,101,76,111,97,100,101,114,46,95,95,101, 113,95,95,99,1,0,0,0,0,0,0,0,0,0,0,0, 3,0,0,0,67,0,0,0,114,17,1,0,0,114,69,0, - 0,0,114,18,1,0,0,114,20,1,0,0,63,114,7,0, + 0,0,114,18,1,0,0,114,20,1,0,0,1,114,7,0, 0,0,114,21,1,0,0,151,4,0,0,114,22,1,0,0, 114,9,0,0,0,122,28,69,120,116,101,110,115,105,111,110, 70,105,108,101,76,111,97,100,101,114,46,95,95,104,97,115, @@ -1776,7 +1776,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 114,186,0,0,0,90,14,99,114,101,97,116,101,95,100,121, 110,97,109,105,99,114,172,0,0,0,114,141,0,0,0,114, 65,0,0,0,41,3,114,143,0,0,0,114,209,0,0,0, - 114,243,0,0,0,63,63,63,114,7,0,0,0,114,238,0, + 114,243,0,0,0,1,1,1,114,7,0,0,0,114,238,0, 0,0,154,4,0,0,115,14,0,0,0,4,2,6,1,4, 255,6,2,8,1,4,255,4,2,114,9,0,0,0,122,33, 69,120,116,101,110,115,105,111,110,70,105,108,101,76,111,97, @@ -1793,7 +1793,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 0,0,0,114,241,0,0,0,114,186,0,0,0,90,12,101, 120,101,99,95,100,121,110,97,109,105,99,114,172,0,0,0, 114,141,0,0,0,114,65,0,0,0,169,2,114,143,0,0, - 0,114,243,0,0,0,63,63,114,7,0,0,0,114,244,0, + 0,114,243,0,0,0,1,1,114,7,0,0,0,114,244,0, 0,0,162,4,0,0,115,8,0,0,0,14,2,6,1,8, 1,8,255,114,9,0,0,0,122,31,69,120,116,101,110,115, 105,111,110,70,105,108,101,76,111,97,100,101,114,46,101,120, @@ -1810,7 +1810,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 9,125,1,136,0,100,0,124,1,23,0,107,2,86,0,1, 0,113,2,100,1,83,0,41,2,114,235,0,0,0,78,114, 12,0,0,0,41,3,114,5,0,0,0,218,6,115,117,102, - 102,105,120,218,9,102,105,108,101,95,110,97,109,101,63,63, + 102,105,120,218,9,102,105,108,101,95,110,97,109,101,1,1, 128,114,7,0,0,0,114,8,0,0,0,171,4,0,0,115, 6,0,0,0,6,128,2,1,20,255,114,9,0,0,0,122, 49,69,120,116,101,110,115,105,111,110,70,105,108,101,76,111, @@ -1818,7 +1818,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 60,108,111,99,97,108,115,62,46,60,103,101,110,101,120,112, 114,62,78,41,4,114,73,0,0,0,114,65,0,0,0,218, 3,97,110,121,114,231,0,0,0,41,3,114,143,0,0,0, - 114,162,0,0,0,114,42,1,0,0,63,63,64,114,7,0, + 114,162,0,0,0,114,42,1,0,0,1,1,64,114,7,0, 0,0,114,205,0,0,0,168,4,0,0,115,8,0,0,0, 14,2,12,1,2,1,8,255,114,9,0,0,0,122,30,69, 120,116,101,110,115,105,111,110,70,105,108,101,76,111,97,100, @@ -1829,7 +1829,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 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, 100,101,32,111,98,106,101,99,116,46,78,114,12,0,0,0, - 114,246,0,0,0,63,63,114,7,0,0,0,114,240,0,0, + 114,246,0,0,0,1,1,114,7,0,0,0,114,240,0,0, 0,174,4,0,0,114,25,0,0,0,114,9,0,0,0,122, 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, @@ -1838,13 +1838,13 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 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, - 78,114,12,0,0,0,114,246,0,0,0,63,63,114,7,0, + 78,114,12,0,0,0,114,246,0,0,0,1,1,114,7,0, 0,0,114,0,1,0,0,178,4,0,0,114,25,0,0,0, 114,9,0,0,0,122,30,69,120,116,101,110,115,105,111,110, 70,105,108,101,76,111,97,100,101,114,46,103,101,116,95,115, 111,117,114,99,101,99,2,0,0,0,0,0,0,0,0,0, 0,0,1,0,0,0,67,0,0,0,114,24,1,0,0,114, - 25,1,0,0,114,74,0,0,0,114,246,0,0,0,63,63, + 25,1,0,0,114,74,0,0,0,114,246,0,0,0,1,1, 114,7,0,0,0,114,202,0,0,0,182,4,0,0,114,26, 1,0,0,114,9,0,0,0,122,32,69,120,116,101,110,115, 105,111,110,70,105,108,101,76,111,97,100,101,114,46,103,101, @@ -1895,7 +1895,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 114,101,110,116,95,112,97,116,104,218,12,95,112,97,116,104, 95,102,105,110,100,101,114,169,4,114,143,0,0,0,114,141, 0,0,0,114,65,0,0,0,90,11,112,97,116,104,95,102, - 105,110,100,101,114,63,63,63,63,114,7,0,0,0,114,235, + 105,110,100,101,114,1,1,1,1,114,7,0,0,0,114,235, 0,0,0,195,4,0,0,115,8,0,0,0,6,1,6,1, 14,1,10,1,114,9,0,0,0,122,23,95,78,97,109,101, 115,112,97,99,101,80,97,116,104,46,95,95,105,110,105,116, @@ -1911,7 +1911,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 114,16,0,0,0,114,65,0,0,0,90,8,95,95,112,97, 116,104,95,95,78,41,2,114,45,1,0,0,114,104,0,0, 0,41,4,114,143,0,0,0,114,38,1,0,0,218,3,100, - 111,116,90,2,109,101,63,63,63,63,114,7,0,0,0,218, + 111,116,90,2,109,101,1,1,1,1,114,7,0,0,0,218, 23,95,102,105,110,100,95,112,97,114,101,110,116,95,112,97, 116,104,95,110,97,109,101,115,201,4,0,0,115,8,0,0, 0,18,2,8,1,4,2,8,3,114,9,0,0,0,122,38, @@ -1925,7 +1925,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 0,0,218,7,109,111,100,117,108,101,115,41,3,114,143,0, 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, - 114,95,110,97,109,101,63,63,63,114,7,0,0,0,114,47, + 114,95,110,97,109,101,1,1,1,114,7,0,0,0,114,47, 1,0,0,211,4,0,0,115,4,0,0,0,12,1,16,1, 114,9,0,0,0,122,31,95,78,97,109,101,115,112,97,99, 101,80,97,116,104,46,95,103,101,116,95,112,97,114,101,110, @@ -1940,7 +1940,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 0,114,48,1,0,0,114,49,1,0,0,114,45,1,0,0, 114,163,0,0,0,114,201,0,0,0,114,46,1,0,0,41, 3,114,143,0,0,0,90,11,112,97,114,101,110,116,95,112, - 97,116,104,114,209,0,0,0,63,63,63,114,7,0,0,0, + 97,116,104,114,209,0,0,0,1,1,1,114,7,0,0,0, 218,12,95,114,101,99,97,108,99,117,108,97,116,101,215,4, 0,0,115,16,0,0,0,12,2,10,1,14,1,18,3,6, 1,8,1,6,1,6,1,114,9,0,0,0,122,27,95,78, @@ -1949,15 +1949,15 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 0,0,0,0,0,0,3,0,0,0,67,0,0,0,243,12, 0,0,0,116,0,124,0,160,1,161,0,131,1,83,0,114, 69,0,0,0,41,2,218,4,105,116,101,114,114,54,1,0, - 0,114,20,1,0,0,63,114,7,0,0,0,218,8,95,95, + 0,114,20,1,0,0,1,114,7,0,0,0,218,8,95,95, 105,116,101,114,95,95,228,4,0,0,243,2,0,0,0,12, 1,114,9,0,0,0,122,23,95,78,97,109,101,115,112,97, 99,101,80,97,116,104,46,95,95,105,116,101,114,95,95,99, 2,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0, 67,0,0,0,115,12,0,0,0,124,0,160,0,161,0,124, 1,25,0,83,0,114,69,0,0,0,169,1,114,54,1,0, - 0,41,2,114,143,0,0,0,218,5,105,110,100,101,120,63, - 63,114,7,0,0,0,218,11,95,95,103,101,116,105,116,101, + 0,41,2,114,143,0,0,0,218,5,105,110,100,101,120,1, + 1,114,7,0,0,0,218,11,95,95,103,101,116,105,116,101, 109,95,95,231,4,0,0,114,58,1,0,0,114,9,0,0, 0,122,26,95,78,97,109,101,115,112,97,99,101,80,97,116, 104,46,95,95,103,101,116,105,116,101,109,95,95,99,3,0, @@ -1965,14 +1965,14 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 0,0,115,14,0,0,0,124,2,124,0,106,0,124,1,60, 0,100,0,83,0,114,69,0,0,0,41,1,114,46,1,0, 0,41,3,114,143,0,0,0,114,60,1,0,0,114,65,0, - 0,0,63,63,63,114,7,0,0,0,218,11,95,95,115,101, + 0,0,1,1,1,114,7,0,0,0,218,11,95,95,115,101, 116,105,116,101,109,95,95,234,4,0,0,115,2,0,0,0, 14,1,114,9,0,0,0,122,26,95,78,97,109,101,115,112, 97,99,101,80,97,116,104,46,95,95,115,101,116,105,116,101, 109,95,95,99,1,0,0,0,0,0,0,0,0,0,0,0, 3,0,0,0,67,0,0,0,114,55,1,0,0,114,69,0, 0,0,41,2,114,4,0,0,0,114,54,1,0,0,114,20, - 1,0,0,63,114,7,0,0,0,218,7,95,95,108,101,110, + 1,0,0,1,114,7,0,0,0,218,7,95,95,108,101,110, 95,95,237,4,0,0,114,58,1,0,0,114,9,0,0,0, 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, @@ -1980,14 +1980,14 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 0,0,100,1,160,0,124,0,106,1,161,1,83,0,41,2, 78,122,20,95,78,97,109,101,115,112,97,99,101,80,97,116, 104,40,123,33,114,125,41,41,2,114,89,0,0,0,114,46, - 1,0,0,114,20,1,0,0,63,114,7,0,0,0,218,8, + 1,0,0,114,20,1,0,0,1,114,7,0,0,0,218,8, 95,95,114,101,112,114,95,95,240,4,0,0,114,58,1,0, 0,114,9,0,0,0,122,23,95,78,97,109,101,115,112,97, 99,101,80,97,116,104,46,95,95,114,101,112,114,95,95,99, 2,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0, 67,0,0,0,115,12,0,0,0,124,1,124,0,160,0,161, 0,118,0,83,0,114,69,0,0,0,114,59,1,0,0,169, - 2,114,143,0,0,0,218,4,105,116,101,109,63,63,114,7, + 2,114,143,0,0,0,218,4,105,116,101,109,1,1,114,7, 0,0,0,218,12,95,95,99,111,110,116,97,105,110,115,95, 95,243,4,0,0,114,58,1,0,0,114,9,0,0,0,122, 27,95,78,97,109,101,115,112,97,99,101,80,97,116,104,46, @@ -1995,7 +1995,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 0,0,0,0,0,0,0,0,0,3,0,0,0,67,0,0, 0,115,16,0,0,0,124,0,106,0,160,1,124,1,161,1, 1,0,100,0,83,0,114,69,0,0,0,41,2,114,46,1, - 0,0,114,61,0,0,0,114,66,1,0,0,63,63,114,7, + 0,0,114,61,0,0,0,114,66,1,0,0,1,1,114,7, 0,0,0,114,61,0,0,0,246,4,0,0,243,2,0,0, 0,16,1,114,9,0,0,0,122,21,95,78,97,109,101,115, 112,97,99,101,80,97,116,104,46,97,112,112,101,110,100,78, @@ -2020,7 +2020,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 67,0,0,0,115,18,0,0,0,116,0,124,1,124,2,124, 3,131,3,124,0,95,1,100,0,83,0,114,69,0,0,0, 41,2,114,44,1,0,0,114,46,1,0,0,114,50,1,0, - 0,63,63,63,63,114,7,0,0,0,114,235,0,0,0,252, + 0,1,1,1,1,114,7,0,0,0,114,235,0,0,0,252, 4,0,0,115,2,0,0,0,18,1,114,9,0,0,0,122, 25,95,78,97,109,101,115,112,97,99,101,76,111,97,100,101, 114,46,95,95,105,110,105,116,95,95,99,1,0,0,0,0, @@ -2043,20 +2043,20 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 32,123,33,114,125,32,40,110,97,109,101,115,112,97,99,101, 41,62,78,41,5,114,99,0,0,0,114,100,0,0,0,114, 101,0,0,0,114,89,0,0,0,114,149,0,0,0,41,1, - 114,243,0,0,0,63,114,7,0,0,0,218,11,109,111,100, + 114,243,0,0,0,1,114,7,0,0,0,218,11,109,111,100, 117,108,101,95,114,101,112,114,255,4,0,0,115,8,0,0, 0,6,7,2,1,4,255,12,2,114,9,0,0,0,122,28, 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, 0,0,0,0,0,0,0,0,0,1,0,0,0,67,0,0, 0,114,24,0,0,0,41,2,78,84,114,12,0,0,0,114, - 246,0,0,0,63,63,114,7,0,0,0,114,205,0,0,0, + 246,0,0,0,1,1,114,7,0,0,0,114,205,0,0,0, 10,5,0,0,243,2,0,0,0,4,1,114,9,0,0,0, 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, 0,0,0,0,0,0,0,0,0,0,1,0,0,0,67,0, 0,0,114,24,0,0,0,41,2,78,114,10,0,0,0,114, - 12,0,0,0,114,246,0,0,0,63,63,114,7,0,0,0, + 12,0,0,0,114,246,0,0,0,1,1,114,7,0,0,0, 114,0,1,0,0,13,5,0,0,114,72,1,0,0,114,9, 0,0,0,122,27,95,78,97,109,101,115,112,97,99,101,76, 111,97,100,101,114,46,103,101,116,95,115,111,117,114,99,101, @@ -2065,19 +2065,19 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 100,3,100,4,100,5,141,4,83,0,41,6,78,114,10,0, 0,0,122,8,60,115,116,114,105,110,103,62,114,242,0,0, 0,84,41,1,114,2,1,0,0,41,1,114,3,1,0,0, - 114,246,0,0,0,63,63,114,7,0,0,0,114,240,0,0, + 114,246,0,0,0,1,1,114,7,0,0,0,114,240,0,0, 0,16,5,0,0,114,69,1,0,0,114,9,0,0,0,122, 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, 0,0,0,0,0,0,0,1,0,0,0,67,0,0,0,114, 24,0,0,0,114,236,0,0,0,114,12,0,0,0,114,237, - 0,0,0,63,63,114,7,0,0,0,114,238,0,0,0,19, + 0,0,0,1,1,114,7,0,0,0,114,238,0,0,0,19, 5,0,0,114,239,0,0,0,114,9,0,0,0,122,30,95, 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, 0,0,0,0,0,0,0,0,0,0,1,0,0,0,67,0, 0,0,115,4,0,0,0,100,0,83,0,114,69,0,0,0, - 114,12,0,0,0,114,40,1,0,0,63,63,114,7,0,0, + 114,12,0,0,0,114,40,1,0,0,1,1,114,7,0,0, 0,114,244,0,0,0,22,5,0,0,114,72,1,0,0,114, 9,0,0,0,122,28,95,78,97,109,101,115,112,97,99,101, 76,111,97,100,101,114,46,101,120,101,99,95,109,111,100,117, @@ -2095,7 +2095,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 111,97,100,101,100,32,119,105,116,104,32,112,97,116,104,32, 123,33,114,125,78,41,4,114,158,0,0,0,114,172,0,0, 0,114,46,1,0,0,114,245,0,0,0,114,246,0,0,0, - 63,63,114,7,0,0,0,114,247,0,0,0,25,5,0,0, + 1,1,114,7,0,0,0,114,247,0,0,0,25,5,0,0, 115,8,0,0,0,6,7,4,1,4,255,12,3,114,9,0, 0,0,122,28,95,78,97,109,101,115,112,97,99,101,76,111, 97,100,101,114,46,108,111,97,100,95,109,111,100,117,108,101, @@ -2105,7 +2105,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 41,3,78,114,0,0,0,0,41,1,218,15,78,97,109,101, 115,112,97,99,101,82,101,97,100,101,114,41,3,114,30,1, 0,0,114,73,1,0,0,114,46,1,0,0,41,3,114,143, - 0,0,0,114,243,0,0,0,114,73,1,0,0,63,63,63, + 0,0,0,114,243,0,0,0,114,73,1,0,0,1,1,1, 114,7,0,0,0,114,31,1,0,0,37,5,0,0,115,4, 0,0,0,12,1,10,1,114,9,0,0,0,122,36,95,78, 97,109,101,115,112,97,99,101,76,111,97,100,101,114,46,103, @@ -2150,7 +2150,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 105,115,116,114,16,0,0,0,218,19,112,97,116,104,95,105, 109,112,111,114,116,101,114,95,99,97,99,104,101,218,5,105, 116,101,109,115,114,152,0,0,0,114,75,1,0,0,41,2, - 114,141,0,0,0,218,6,102,105,110,100,101,114,63,63,114, + 114,141,0,0,0,218,6,102,105,110,100,101,114,1,1,114, 7,0,0,0,114,75,1,0,0,48,5,0,0,115,14,0, 0,0,22,4,8,1,10,1,10,1,8,1,2,128,4,252, 114,9,0,0,0,122,28,80,97,116,104,70,105,110,100,101, @@ -2169,7 +2169,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 115,32,101,109,112,116,121,41,6,114,16,0,0,0,218,10, 112,97,116,104,95,104,111,111,107,115,114,99,0,0,0,114, 100,0,0,0,114,161,0,0,0,114,142,0,0,0,41,2, - 114,65,0,0,0,90,4,104,111,111,107,63,63,114,7,0, + 114,65,0,0,0,90,4,104,111,111,107,1,1,114,7,0, 0,0,218,11,95,112,97,116,104,95,104,111,111,107,115,58, 5,0,0,115,22,0,0,0,16,3,12,1,10,1,2,1, 12,1,2,128,12,1,4,1,2,128,4,2,2,253,115,12, @@ -2201,8 +2201,8 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 0,218,17,70,105,108,101,78,111,116,70,111,117,110,100,69, 114,114,111,114,114,16,0,0,0,114,77,1,0,0,218,8, 75,101,121,69,114,114,111,114,114,81,1,0,0,41,3,114, - 220,0,0,0,114,65,0,0,0,114,79,1,0,0,63,63, - 63,114,7,0,0,0,218,20,95,112,97,116,104,95,105,109, + 220,0,0,0,114,65,0,0,0,114,79,1,0,0,1,1, + 1,114,7,0,0,0,218,20,95,112,97,116,104,95,105,109, 112,111,114,116,101,114,95,99,97,99,104,101,71,5,0,0, 115,36,0,0,0,8,8,2,1,10,1,2,128,12,1,6, 3,2,128,2,1,10,1,4,4,2,128,12,253,10,1,12, @@ -2234,7 +2234,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 228,0,0,0,114,223,0,0,0,114,206,0,0,0,114,201, 0,0,0,41,7,114,220,0,0,0,114,162,0,0,0,114, 79,1,0,0,114,165,0,0,0,114,163,0,0,0,114,164, - 0,0,0,114,209,0,0,0,63,63,63,63,63,63,63,114, + 0,0,0,114,209,0,0,0,1,1,1,1,1,1,1,114, 7,0,0,0,218,16,95,108,101,103,97,99,121,95,103,101, 116,95,115,112,101,99,93,5,0,0,115,26,0,0,0,10, 4,16,1,12,2,16,1,16,2,12,2,10,1,4,1,8, @@ -2266,8 +2266,8 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 9,114,220,0,0,0,114,162,0,0,0,114,65,0,0,0, 114,224,0,0,0,218,14,110,97,109,101,115,112,97,99,101, 95,112,97,116,104,90,5,101,110,116,114,121,114,79,1,0, - 0,114,209,0,0,0,114,164,0,0,0,63,63,63,63,63, - 63,63,63,63,114,7,0,0,0,218,9,95,103,101,116,95, + 0,114,209,0,0,0,114,164,0,0,0,1,1,1,1,1, + 1,1,1,1,114,7,0,0,0,218,9,95,103,101,116,95, 115,112,101,99,114,5,0,0,115,42,0,0,0,4,5,8, 1,14,1,2,1,10,1,8,1,10,1,14,1,12,2,8, 1,2,1,10,1,8,1,6,1,8,1,8,1,10,5,2, @@ -2294,7 +2294,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 0,0,114,201,0,0,0,114,204,0,0,0,114,44,1,0, 0,41,6,114,220,0,0,0,114,162,0,0,0,114,65,0, 0,0,114,224,0,0,0,114,209,0,0,0,114,87,1,0, - 0,63,63,63,63,63,63,114,7,0,0,0,114,225,0,0, + 0,1,1,1,1,1,1,114,7,0,0,0,114,225,0,0, 0,146,5,0,0,115,26,0,0,0,8,6,6,1,14,1, 8,1,4,1,10,1,6,1,4,1,6,3,16,1,4,1, 4,2,4,2,114,9,0,0,0,122,20,80,97,116,104,70, @@ -2321,7 +2321,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 32,105,110,32,80,121,116,104,111,110,32,51,46,49,50,59, 32,117,115,101,32,102,105,110,100,95,115,112,101,99,40,41, 32,105,110,115,116,101,97,100,78,114,226,0,0,0,114,227, - 0,0,0,63,63,63,63,114,7,0,0,0,114,228,0,0, + 0,0,0,1,1,1,1,114,7,0,0,0,114,228,0,0, 0,170,5,0,0,115,14,0,0,0,6,8,2,2,4,254, 12,3,8,1,4,1,6,1,114,9,0,0,0,122,22,80, 97,116,104,70,105,110,100,101,114,46,102,105,110,100,95,109, @@ -2352,8 +2352,8 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 90,18,105,109,112,111,114,116,108,105,98,46,109,101,116,97, 100,97,116,97,114,89,1,0,0,218,18,102,105,110,100,95, 100,105,115,116,114,105,98,117,116,105,111,110,115,41,3,114, - 144,0,0,0,114,145,0,0,0,114,89,1,0,0,63,63, - 63,114,7,0,0,0,114,90,1,0,0,186,5,0,0,115, + 144,0,0,0,114,145,0,0,0,114,89,1,0,0,1,1, + 1,114,7,0,0,0,114,90,1,0,0,186,5,0,0,115, 4,0,0,0,12,10,16,1,114,9,0,0,0,122,29,80, 97,116,104,70,105,110,100,101,114,46,102,105,110,100,95,100, 105,115,116,114,105,98,117,116,105,111,110,115,114,69,0,0, @@ -2408,7 +2408,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 0,115,24,0,0,0,129,0,124,0,93,7,125,1,124,1, 136,0,102,2,86,0,1,0,113,2,100,0,83,0,114,69, 0,0,0,114,12,0,0,0,41,3,114,5,0,0,0,114, - 41,1,0,0,114,163,0,0,0,63,63,128,114,7,0,0, + 41,1,0,0,114,163,0,0,0,1,1,128,114,7,0,0, 0,114,8,0,0,0,215,5,0,0,115,4,0,0,0,6, 128,18,0,114,9,0,0,0,122,38,70,105,108,101,70,105, 110,100,101,114,46,95,95,105,110,105,116,95,95,46,60,108, @@ -2422,7 +2422,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 97,116,104,95,99,97,99,104,101,41,6,114,143,0,0,0, 114,65,0,0,0,218,14,108,111,97,100,101,114,95,100,101, 116,97,105,108,115,90,7,108,111,97,100,101,114,115,114,211, - 0,0,0,114,163,0,0,0,63,63,63,63,63,64,114,7, + 0,0,0,114,163,0,0,0,1,1,1,1,1,64,114,7, 0,0,0,114,235,0,0,0,209,5,0,0,115,20,0,0, 0,4,4,12,1,26,1,6,1,10,2,10,1,18,1,6, 1,8,1,12,1,114,9,0,0,0,122,19,70,105,108,101, @@ -2432,7 +2432,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 2,83,0,41,3,122,31,73,110,118,97,108,105,100,97,116, 101,32,116,104,101,32,100,105,114,101,99,116,111,114,121,32, 109,116,105,109,101,46,114,130,0,0,0,78,41,1,114,93, - 1,0,0,114,20,1,0,0,63,114,7,0,0,0,114,75, + 1,0,0,114,20,1,0,0,1,114,7,0,0,0,114,75, 1,0,0,225,5,0,0,114,81,0,0,0,114,9,0,0, 0,122,28,70,105,108,101,70,105,110,100,101,114,46,105,110, 118,97,108,105,100,97,116,101,95,99,97,99,104,101,115,99, @@ -2463,7 +2463,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 41,6,114,99,0,0,0,114,100,0,0,0,114,101,0,0, 0,114,225,0,0,0,114,163,0,0,0,114,201,0,0,0, 41,3,114,143,0,0,0,114,162,0,0,0,114,209,0,0, - 0,63,63,63,114,7,0,0,0,114,160,0,0,0,231,5, + 0,1,1,1,114,7,0,0,0,114,160,0,0,0,231,5, 0,0,115,14,0,0,0,6,7,2,2,4,254,10,3,8, 1,8,1,16,1,114,9,0,0,0,122,22,70,105,108,101, 70,105,110,100,101,114,46,102,105,110,100,95,108,111,97,100, @@ -2473,8 +2473,8 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 100,1,141,4,83,0,41,2,78,114,200,0,0,0,41,1, 114,212,0,0,0,41,7,114,143,0,0,0,114,210,0,0, 0,114,162,0,0,0,114,65,0,0,0,90,4,115,109,115, - 108,114,224,0,0,0,114,163,0,0,0,63,63,63,63,63, - 63,63,114,7,0,0,0,114,88,1,0,0,246,5,0,0, + 108,114,224,0,0,0,114,163,0,0,0,1,1,1,1,1, + 1,1,114,7,0,0,0,114,88,1,0,0,246,5,0,0, 115,8,0,0,0,10,1,8,1,2,1,6,255,114,9,0, 0,0,122,20,70,105,108,101,70,105,110,100,101,114,46,95, 103,101,116,95,115,112,101,99,78,99,3,0,0,0,0,0, @@ -2530,8 +2530,8 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 90,9,98,97,115,101,95,112,97,116,104,114,41,1,0,0, 114,210,0,0,0,90,13,105,110,105,116,95,102,105,108,101, 110,97,109,101,90,9,102,117,108,108,95,112,97,116,104,114, - 209,0,0,0,63,63,63,63,63,63,63,63,63,63,63,63, - 63,63,114,7,0,0,0,114,225,0,0,0,251,5,0,0, + 209,0,0,0,1,1,1,1,1,1,1,1,1,1,1,1, + 1,1,114,7,0,0,0,114,225,0,0,0,251,5,0,0, 115,94,0,0,0,4,5,14,1,2,1,22,1,2,128,12, 1,8,1,2,128,10,1,8,1,6,1,6,2,6,1,10, 1,6,2,4,1,8,2,12,1,14,1,8,1,10,1,8, @@ -2565,7 +2565,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 0,83,0,0,0,115,20,0,0,0,104,0,124,0,93,6, 125,1,124,1,160,0,161,0,146,2,113,2,83,0,114,12, 0,0,0,41,1,114,131,0,0,0,41,2,114,5,0,0, - 0,90,2,102,110,63,63,114,7,0,0,0,114,14,0,0, + 0,90,2,102,110,1,1,114,7,0,0,0,114,14,0,0, 0,75,6,0,0,115,2,0,0,0,20,0,114,9,0,0, 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, @@ -2582,7 +2582,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 108,111,119,101,114,95,115,117,102,102,105,120,95,99,111,110, 116,101,110,116,115,114,67,1,0,0,114,141,0,0,0,114, 51,1,0,0,114,41,1,0,0,90,8,110,101,119,95,110, - 97,109,101,63,63,63,63,63,63,63,63,63,114,7,0,0, + 97,109,101,1,1,1,1,1,1,1,1,1,114,7,0,0, 0,114,98,1,0,0,46,6,0,0,115,42,0,0,0,6, 2,2,1,20,1,2,128,18,1,8,3,2,128,12,3,12, 1,6,7,8,1,16,1,4,1,18,1,4,2,12,1,6, @@ -2620,7 +2620,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 100,105,114,101,99,116,111,114,105,101,115,32,97,114,101,32, 115,117,112,112,111,114,116,101,100,114,74,0,0,0,78,41, 2,114,83,0,0,0,114,142,0,0,0,41,3,114,65,0, - 0,0,114,220,0,0,0,114,97,1,0,0,63,128,128,114, + 0,0,114,220,0,0,0,114,97,1,0,0,1,128,128,114, 7,0,0,0,218,24,112,97,116,104,95,104,111,111,107,95, 102,111,114,95,70,105,108,101,70,105,110,100,101,114,87,6, 0,0,115,6,0,0,0,8,2,12,1,16,1,114,9,0, @@ -2629,7 +2629,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 62,46,112,97,116,104,95,104,111,111,107,95,102,111,114,95, 70,105,108,101,70,105,110,100,101,114,78,114,12,0,0,0, 41,5,114,220,0,0,0,114,97,1,0,0,114,102,1,0, - 0,114,220,0,0,0,114,97,1,0,0,127,127,63,64,64, + 0,114,220,0,0,0,114,97,1,0,0,65,65,1,64,64, 114,7,0,0,0,218,9,112,97,116,104,95,104,111,111,107, 77,6,0,0,115,4,0,0,0,14,10,4,6,114,9,0, 0,0,122,20,70,105,108,101,70,105,110,100,101,114,46,112, @@ -2637,7 +2637,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 0,0,0,0,0,3,0,0,0,67,0,0,0,114,64,1, 0,0,41,2,78,122,16,70,105,108,101,70,105,110,100,101, 114,40,123,33,114,125,41,41,2,114,89,0,0,0,114,65, - 0,0,0,114,20,1,0,0,63,114,7,0,0,0,114,65, + 0,0,0,114,20,1,0,0,1,114,7,0,0,0,114,65, 1,0,0,95,6,0,0,114,58,1,0,0,114,9,0,0, 0,122,19,70,105,108,101,70,105,110,100,101,114,46,95,95, 114,101,112,114,95,95,114,69,0,0,0,41,15,114,149,0, @@ -2668,7 +2668,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 9,69,120,99,101,112,116,105,111,110,41,6,90,2,110,115, 114,141,0,0,0,90,8,112,97,116,104,110,97,109,101,90, 9,99,112,97,116,104,110,97,109,101,114,163,0,0,0,114, - 209,0,0,0,63,63,63,63,63,63,114,7,0,0,0,218, + 209,0,0,0,1,1,1,1,1,1,114,7,0,0,0,218, 14,95,102,105,120,95,117,112,95,109,111,100,117,108,101,101, 6,0,0,115,40,0,0,0,10,2,10,1,4,1,4,1, 8,1,8,1,12,1,10,2,4,1,14,1,2,1,8,1, @@ -2690,13 +2690,13 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 0,0,114,127,0,0,0,114,39,1,0,0,114,113,0,0, 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, - 101,63,63,63,114,7,0,0,0,114,207,0,0,0,124,6, + 101,1,1,1,114,7,0,0,0,114,207,0,0,0,124,6, 0,0,115,8,0,0,0,12,5,8,1,8,1,10,1,114, 9,0,0,0,114,207,0,0,0,99,1,0,0,0,0,0, 0,0,0,0,0,0,1,0,0,0,67,0,0,0,115,8, 0,0,0,124,0,97,0,100,0,83,0,114,69,0,0,0, 41,1,114,158,0,0,0,41,1,218,17,95,98,111,111,116, - 115,116,114,97,112,95,109,111,100,117,108,101,63,114,7,0, + 115,116,114,97,112,95,109,111,100,117,108,101,1,114,7,0, 0,0,218,21,95,115,101,116,95,98,111,111,116,115,116,114, 97,112,95,109,111,100,117,108,101,135,6,0,0,115,2,0, 0,0,8,2,114,9,0,0,0,114,111,1,0,0,99,1, @@ -2712,7 +2712,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 0,0,0,114,91,1,0,0,114,103,1,0,0,218,9,109, 101,116,97,95,112,97,116,104,114,61,0,0,0,114,74,1, 0,0,41,2,114,110,1,0,0,90,17,115,117,112,112,111, - 114,116,101,100,95,108,111,97,100,101,114,115,63,63,114,7, + 114,116,101,100,95,108,111,97,100,101,114,115,1,1,114,7, 0,0,0,218,8,95,105,110,115,116,97,108,108,140,6,0, 0,115,8,0,0,0,8,2,6,1,20,1,16,1,114,9, 0,0,0,114,113,1,0,0,41,1,114,87,0,0,0,114, diff --git a/Python/importlib_zipimport.h b/Python/importlib_zipimport.h index 06f7e2faf57156..7b0fd0674690f7 100644 --- a/Python/importlib_zipimport.h +++ b/Python/importlib_zipimport.h @@ -159,7 +159,7 @@ const unsigned char _Py_M__zipimport[] = { 115,101,108,102,114,14,0,0,0,114,18,0,0,0,114,32, 0,0,0,90,2,115,116,90,7,100,105,114,110,97,109,101, 90,8,98,97,115,101,110,97,109,101,218,5,102,105,108,101, - 115,63,63,63,63,63,63,63,63,114,10,0,0,0,218,8, + 115,1,1,1,1,1,1,1,1,114,10,0,0,0,218,8, 95,95,105,110,105,116,95,95,64,0,0,0,115,76,0,0, 0,10,1,8,1,10,1,4,1,12,1,4,1,12,1,4, 2,2,1,2,1,12,1,2,128,16,1,14,3,8,1,12, @@ -226,8 +226,8 @@ const unsigned char _Py_M__zipimport[] = { 117,108,101,95,112,97,116,104,218,7,95,105,115,95,100,105, 114,114,30,0,0,0,114,21,0,0,0,41,5,114,33,0, 0,0,218,8,102,117,108,108,110,97,109,101,114,14,0,0, - 0,218,2,109,105,218,7,109,111,100,112,97,116,104,63,63, - 63,63,63,114,10,0,0,0,218,11,102,105,110,100,95,108, + 0,218,2,109,105,218,7,109,111,100,112,97,116,104,1,1, + 1,1,1,114,10,0,0,0,218,11,102,105,110,100,95,108, 111,97,100,101,114,110,0,0,0,115,20,0,0,0,6,12, 2,2,4,254,10,3,8,1,8,2,10,7,10,1,24,4, 8,2,114,11,0,0,0,122,23,122,105,112,105,109,112,111, @@ -273,7 +273,7 @@ const unsigned char _Py_M__zipimport[] = { 100,95,115,112,101,99,40,41,32,105,110,115,116,101,97,100, 114,0,0,0,0,78,41,4,114,36,0,0,0,114,37,0, 0,0,114,38,0,0,0,114,45,0,0,0,41,3,114,33, - 0,0,0,114,42,0,0,0,114,14,0,0,0,63,63,63, + 0,0,0,114,42,0,0,0,114,14,0,0,0,1,1,1, 114,10,0,0,0,218,11,102,105,110,100,95,109,111,100,117, 108,101,147,0,0,0,115,8,0,0,0,6,11,2,2,4, 254,16,3,114,11,0,0,0,122,23,122,105,112,105,109,112, @@ -305,7 +305,7 @@ const unsigned char _Py_M__zipimport[] = { 0,41,7,114,33,0,0,0,114,42,0,0,0,90,6,116, 97,114,103,101,116,90,11,109,111,100,117,108,101,95,105,110, 102,111,114,44,0,0,0,114,14,0,0,0,90,4,115,112, - 101,99,63,63,63,63,63,63,63,114,10,0,0,0,218,9, + 101,99,1,1,1,1,1,1,1,114,10,0,0,0,218,9, 102,105,110,100,95,115,112,101,99,163,0,0,0,115,24,0, 0,0,10,5,8,1,16,1,10,7,10,1,18,4,8,1, 2,1,6,255,12,2,4,1,4,2,114,11,0,0,0,122, @@ -327,7 +327,7 @@ const unsigned char _Py_M__zipimport[] = { 1,218,16,95,103,101,116,95,109,111,100,117,108,101,95,99, 111,100,101,169,5,114,33,0,0,0,114,42,0,0,0,218, 4,99,111,100,101,218,9,105,115,112,97,99,107,97,103,101, - 114,44,0,0,0,63,63,63,63,63,114,10,0,0,0,218, + 114,44,0,0,0,1,1,1,1,1,114,10,0,0,0,218, 8,103,101,116,95,99,111,100,101,190,0,0,0,115,4,0, 0,0,16,6,4,1,114,11,0,0,0,122,20,122,105,112, 105,109,112,111,114,116,101,114,46,103,101,116,95,99,111,100, @@ -356,7 +356,7 @@ const unsigned char _Py_M__zipimport[] = { 27,0,0,0,114,23,0,0,0,218,9,95,103,101,116,95, 100,97,116,97,41,4,114,33,0,0,0,218,8,112,97,116, 104,110,97,109,101,90,3,107,101,121,218,9,116,111,99,95, - 101,110,116,114,121,63,63,63,63,114,10,0,0,0,218,8, + 101,110,116,114,121,1,1,1,1,114,10,0,0,0,218,8, 103,101,116,95,100,97,116,97,200,0,0,0,115,26,0,0, 0,4,6,12,1,4,2,16,1,22,1,2,2,12,1,2, 128,12,1,12,1,2,128,12,1,2,254,115,12,0,0,0, @@ -376,7 +376,7 @@ const unsigned char _Py_M__zipimport[] = { 32,32,32,32,32,105,102,32,105,116,32,99,111,117,108,100, 110,39,116,32,98,101,32,105,109,112,111,114,116,101,100,46, 10,32,32,32,32,32,32,32,32,78,114,51,0,0,0,114, - 53,0,0,0,63,63,63,63,63,114,10,0,0,0,218,12, + 53,0,0,0,1,1,1,1,1,114,10,0,0,0,218,12, 103,101,116,95,102,105,108,101,110,97,109,101,221,0,0,0, 115,4,0,0,0,16,8,4,1,114,11,0,0,0,122,24, 122,105,112,105,109,112,111,114,116,101,114,46,103,101,116,95, @@ -414,8 +414,8 @@ const unsigned char _Py_M__zipimport[] = { 0,114,27,0,0,0,114,60,0,0,0,114,30,0,0,0, 218,6,100,101,99,111,100,101,41,6,114,33,0,0,0,114, 42,0,0,0,114,43,0,0,0,114,14,0,0,0,218,8, - 102,117,108,108,112,97,116,104,114,62,0,0,0,63,63,63, - 63,63,63,114,10,0,0,0,218,10,103,101,116,95,115,111, + 102,117,108,108,112,97,116,104,114,62,0,0,0,1,1,1, + 1,1,1,114,10,0,0,0,218,10,103,101,116,95,115,111, 117,114,99,101,233,0,0,0,115,30,0,0,0,10,7,8, 1,18,1,10,2,4,1,14,1,10,2,2,2,12,1,2, 128,12,1,6,2,2,128,16,1,2,253,115,12,0,0,0, @@ -438,7 +438,7 @@ const unsigned char _Py_M__zipimport[] = { 39,116,32,98,101,32,102,111,117,110,100,46,10,32,32,32, 32,32,32,32,32,78,114,65,0,0,0,114,66,0,0,0, 41,2,114,39,0,0,0,114,3,0,0,0,41,3,114,33, - 0,0,0,114,42,0,0,0,114,43,0,0,0,63,63,63, + 0,0,0,114,42,0,0,0,114,43,0,0,0,1,1,1, 114,10,0,0,0,114,47,0,0,0,3,1,0,0,115,8, 0,0,0,10,6,8,1,18,1,4,1,114,11,0,0,0, 122,22,122,105,112,105,109,112,111,114,116,101,114,46,105,115, @@ -508,7 +508,7 @@ const unsigned char _Py_M__zipimport[] = { 115,97,103,101,41,9,114,33,0,0,0,114,42,0,0,0, 218,3,109,115,103,114,54,0,0,0,114,55,0,0,0,114, 44,0,0,0,90,3,109,111,100,114,14,0,0,0,114,70, - 0,0,0,63,63,63,63,63,63,63,63,63,114,10,0,0, + 0,0,0,1,1,1,1,1,1,1,1,1,114,10,0,0, 0,218,11,108,111,97,100,95,109,111,100,117,108,101,16,1, 0,0,115,62,0,0,0,4,9,12,2,16,1,12,1,18, 1,8,1,10,1,6,1,2,2,4,1,10,3,14,1,8, @@ -541,7 +541,7 @@ const unsigned char _Py_M__zipimport[] = { 47,0,0,0,114,3,0,0,0,90,17,105,109,112,111,114, 116,108,105,98,46,114,101,97,100,101,114,115,114,85,0,0, 0,41,3,114,33,0,0,0,114,42,0,0,0,114,85,0, - 0,0,63,63,63,114,10,0,0,0,218,19,103,101,116,95, + 0,0,1,1,1,114,10,0,0,0,218,19,103,101,116,95, 114,101,115,111,117,114,99,101,95,114,101,97,100,101,114,59, 1,0,0,115,22,0,0,0,2,6,10,1,4,1,2,255, 2,128,12,2,6,1,2,128,12,1,10,1,2,253,115,12, @@ -559,7 +559,7 @@ const unsigned char _Py_M__zipimport[] = { 116,104,101,32,97,114,99,104,105,118,101,32,112,97,116,104, 46,78,41,6,114,28,0,0,0,114,30,0,0,0,114,29, 0,0,0,114,26,0,0,0,114,3,0,0,0,218,3,112, - 111,112,169,1,114,33,0,0,0,63,114,10,0,0,0,218, + 111,112,169,1,114,33,0,0,0,1,114,10,0,0,0,218, 17,105,110,118,97,108,105,100,97,116,101,95,99,97,99,104, 101,115,74,1,0,0,115,18,0,0,0,2,2,12,1,16, 1,2,128,12,1,14,1,12,1,2,128,2,254,115,12,0, @@ -572,7 +572,7 @@ const unsigned char _Py_M__zipimport[] = { 3,78,122,21,60,122,105,112,105,109,112,111,114,116,101,114, 32,111,98,106,101,99,116,32,34,122,2,34,62,41,3,114, 30,0,0,0,114,21,0,0,0,114,32,0,0,0,114,88, - 0,0,0,63,114,10,0,0,0,218,8,95,95,114,101,112, + 0,0,0,1,114,10,0,0,0,218,8,95,95,114,101,112, 114,95,95,84,1,0,0,115,2,0,0,0,24,1,114,11, 0,0,0,122,20,122,105,112,105,109,112,111,114,116,101,114, 46,95,95,114,101,112,114,95,95,169,1,78,41,17,114,6, @@ -593,14 +593,14 @@ const unsigned char _Py_M__zipimport[] = { 100,2,25,0,23,0,83,0,41,3,78,218,1,46,233,2, 0,0,0,41,2,114,32,0,0,0,218,10,114,112,97,114, 116,105,116,105,111,110,41,2,114,33,0,0,0,114,42,0, - 0,0,63,63,114,10,0,0,0,114,40,0,0,0,102,1, + 0,0,1,1,114,10,0,0,0,114,40,0,0,0,102,1, 0,0,115,2,0,0,0,20,1,114,11,0,0,0,114,40, 0,0,0,99,2,0,0,0,0,0,0,0,0,0,0,0, 2,0,0,0,67,0,0,0,115,18,0,0,0,124,1,116, 0,23,0,125,2,124,2,124,0,106,1,118,0,83,0,114, 91,0,0,0,41,2,114,21,0,0,0,114,29,0,0,0, 41,3,114,33,0,0,0,114,14,0,0,0,90,7,100,105, - 114,112,97,116,104,63,63,63,114,10,0,0,0,114,41,0, + 114,112,97,116,104,1,1,1,114,10,0,0,0,114,41,0, 0,0,106,1,0,0,115,4,0,0,0,8,4,10,2,114, 11,0,0,0,114,41,0,0,0,99,2,0,0,0,0,0, 0,0,0,0,0,0,4,0,0,0,67,0,0,0,115,56, @@ -612,8 +612,8 @@ const unsigned char _Py_M__zipimport[] = { 97,114,99,104,111,114,100,101,114,114,29,0,0,0,41,7, 114,33,0,0,0,114,42,0,0,0,114,14,0,0,0,218, 6,115,117,102,102,105,120,218,10,105,115,98,121,116,101,99, - 111,100,101,114,55,0,0,0,114,70,0,0,0,63,63,63, - 63,63,63,63,114,10,0,0,0,114,39,0,0,0,115,1, + 111,100,101,114,55,0,0,0,114,70,0,0,0,1,1,1, + 1,1,1,1,114,10,0,0,0,114,39,0,0,0,115,1, 0,0,115,14,0,0,0,10,1,14,1,8,1,10,1,8, 1,2,255,4,2,114,11,0,0,0,114,39,0,0,0,99, 1,0,0,0,0,0,0,0,0,0,0,0,9,0,0,0, @@ -750,9 +750,9 @@ const unsigned char _Py_M__zipimport[] = { 9,110,97,109,101,95,115,105,122,101,218,10,101,120,116,114, 97,95,115,105,122,101,90,12,99,111,109,109,101,110,116,95, 115,105,122,101,218,11,102,105,108,101,95,111,102,102,115,101, - 116,114,48,0,0,0,114,14,0,0,0,218,1,116,63,63, - 63,63,63,63,63,63,63,63,63,63,63,63,63,63,63,63, - 63,63,63,63,63,63,63,63,114,10,0,0,0,114,28,0, + 116,114,48,0,0,0,114,14,0,0,0,218,1,116,1,1, + 1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1, + 1,1,1,1,1,1,1,1,114,10,0,0,0,114,28,0, 0,0,146,1,0,0,115,16,1,0,0,2,1,12,1,2, 128,14,1,18,1,2,128,6,2,2,1,14,1,8,1,12, 1,2,128,14,1,18,1,2,128,12,1,18,1,16,1,2, @@ -834,7 +834,7 @@ const unsigned char _Py_M__zipimport[] = { 116,105,110,103,95,122,108,105,98,114,49,0,0,0,114,82, 0,0,0,114,3,0,0,0,90,4,122,108,105,98,114,148, 0,0,0,218,9,69,120,99,101,112,116,105,111,110,114,147, - 0,0,0,63,114,10,0,0,0,218,20,95,103,101,116,95, + 0,0,0,1,114,10,0,0,0,218,20,95,103,101,116,95, 100,101,99,111,109,112,114,101,115,115,95,102,117,110,99,48, 2,0,0,115,36,0,0,0,4,2,10,3,8,1,4,2, 2,1,14,1,2,128,12,1,10,1,8,1,2,128,2,253, @@ -884,8 +884,8 @@ const unsigned char _Py_M__zipimport[] = { 0,114,144,0,0,0,114,138,0,0,0,114,139,0,0,0, 114,140,0,0,0,114,130,0,0,0,114,131,0,0,0,114, 142,0,0,0,114,143,0,0,0,114,134,0,0,0,90,8, - 114,97,119,95,100,97,116,97,114,148,0,0,0,63,63,63, - 63,63,63,63,63,63,63,63,63,63,63,63,63,63,114,10, + 114,97,119,95,100,97,116,97,114,148,0,0,0,1,1,1, + 1,1,1,1,1,1,1,1,1,1,1,1,1,1,114,10, 0,0,0,114,60,0,0,0,69,2,0,0,115,86,0,0, 0,20,1,8,1,8,1,12,2,2,2,12,1,2,128,12, 1,18,1,2,128,10,1,12,1,8,1,16,2,18,2,16, @@ -902,7 +902,7 @@ const unsigned char _Py_M__zipimport[] = { 0,0,0,0,0,0,3,0,0,0,67,0,0,0,115,16, 0,0,0,116,0,124,0,124,1,24,0,131,1,100,1,107, 1,83,0,41,2,78,114,5,0,0,0,41,1,218,3,97, - 98,115,41,2,90,2,116,49,90,2,116,50,63,63,114,10, + 98,115,41,2,90,2,116,49,90,2,116,50,1,1,114,10, 0,0,0,218,9,95,101,113,95,109,116,105,109,101,115,2, 0,0,115,2,0,0,0,16,2,114,11,0,0,0,114,154, 0,0,0,99,5,0,0,0,0,0,0,0,0,0,0,0, @@ -951,8 +951,8 @@ const unsigned char _Py_M__zipimport[] = { 115,111,117,114,99,101,90,12,115,111,117,114,99,101,95,98, 121,116,101,115,114,157,0,0,0,90,12,115,111,117,114,99, 101,95,109,116,105,109,101,90,11,115,111,117,114,99,101,95, - 115,105,122,101,114,54,0,0,0,63,63,63,63,63,63,63, - 63,63,63,63,63,63,63,114,10,0,0,0,218,15,95,117, + 115,105,122,101,114,54,0,0,0,1,1,1,1,1,1,1, + 1,1,1,1,1,1,1,114,10,0,0,0,218,15,95,117, 110,109,97,114,115,104,97,108,95,99,111,100,101,123,2,0, 0,115,72,0,0,0,2,2,2,1,6,254,14,5,12,2, 4,1,12,1,10,1,2,1,2,255,8,1,2,255,10,2, @@ -965,7 +965,7 @@ const unsigned char _Py_M__zipimport[] = { 160,0,100,3,100,2,161,2,125,0,124,0,83,0,41,4, 78,115,2,0,0,0,13,10,243,1,0,0,0,10,243,1, 0,0,0,13,41,1,114,20,0,0,0,41,1,218,6,115, - 111,117,114,99,101,63,114,10,0,0,0,218,23,95,110,111, + 111,117,114,99,101,1,114,10,0,0,0,218,23,95,110,111, 114,109,97,108,105,122,101,95,108,105,110,101,95,101,110,100, 105,110,103,115,168,2,0,0,115,6,0,0,0,12,1,12, 1,4,1,114,11,0,0,0,114,166,0,0,0,99,2,0, @@ -975,7 +975,7 @@ const unsigned char _Py_M__zipimport[] = { 4,78,114,80,0,0,0,84,41,1,90,12,100,111,110,116, 95,105,110,104,101,114,105,116,41,2,114,166,0,0,0,218, 7,99,111,109,112,105,108,101,41,2,114,61,0,0,0,114, - 165,0,0,0,63,63,114,10,0,0,0,218,15,95,99,111, + 165,0,0,0,1,1,114,10,0,0,0,218,15,95,99,111, 109,112,105,108,101,95,115,111,117,114,99,101,175,2,0,0, 115,4,0,0,0,8,1,16,1,114,11,0,0,0,114,168, 0,0,0,99,2,0,0,0,0,0,0,0,0,0,0,0, @@ -988,7 +988,7 @@ const unsigned char _Py_M__zipimport[] = { 0,0,0,233,15,0,0,0,233,31,0,0,0,233,11,0, 0,0,233,63,0,0,0,114,94,0,0,0,114,15,0,0, 0,41,2,114,138,0,0,0,90,6,109,107,116,105,109,101, - 41,2,218,1,100,114,145,0,0,0,63,63,114,10,0,0, + 41,2,218,1,100,114,145,0,0,0,1,1,114,10,0,0, 0,218,14,95,112,97,114,115,101,95,100,111,115,116,105,109, 101,181,2,0,0,115,18,0,0,0,4,1,10,1,10,1, 6,1,6,1,10,1,10,1,6,1,6,249,114,11,0,0, @@ -1008,8 +1008,8 @@ const unsigned char _Py_M__zipimport[] = { 100,101,120,69,114,114,111,114,114,161,0,0,0,41,6,114, 33,0,0,0,114,14,0,0,0,114,62,0,0,0,114,138, 0,0,0,114,139,0,0,0,90,17,117,110,99,111,109,112, - 114,101,115,115,101,100,95,115,105,122,101,63,63,63,63,63, - 63,114,10,0,0,0,114,158,0,0,0,194,2,0,0,115, + 114,101,115,115,101,100,95,115,105,122,101,1,1,1,1,1, + 1,114,10,0,0,0,114,158,0,0,0,194,2,0,0,115, 26,0,0,0,2,1,20,2,12,1,10,1,8,3,8,1, 8,1,14,1,2,128,18,1,6,1,2,128,2,255,115,12, 0,0,0,129,39,41,0,169,10,54,7,183,1,54,7,114, @@ -1023,7 +1023,7 @@ const unsigned char _Py_M__zipimport[] = { 41,3,78,114,15,0,0,0,114,177,0,0,0,41,4,114, 29,0,0,0,114,27,0,0,0,114,60,0,0,0,114,30, 0,0,0,41,3,114,33,0,0,0,114,14,0,0,0,114, - 62,0,0,0,63,63,63,114,10,0,0,0,114,156,0,0, + 62,0,0,0,1,1,1,114,10,0,0,0,114,156,0,0, 0,213,2,0,0,115,20,0,0,0,20,2,12,1,2,2, 12,1,2,128,12,1,6,1,2,128,12,2,2,253,115,12, 0,0,0,145,5,23,0,151,7,33,7,168,1,33,7,114, @@ -1059,8 +1059,8 @@ const unsigned char _Py_M__zipimport[] = { 116,95,101,114,114,111,114,114,97,0,0,0,114,98,0,0, 0,114,55,0,0,0,114,70,0,0,0,114,62,0,0,0, 114,44,0,0,0,114,133,0,0,0,114,54,0,0,0,90, - 3,101,120,99,114,83,0,0,0,63,63,63,63,63,63,63, - 63,63,63,63,63,63,63,114,10,0,0,0,114,52,0,0, + 3,101,120,99,114,83,0,0,0,1,1,1,1,1,1,1, + 1,1,1,1,1,1,1,114,10,0,0,0,114,52,0,0, 0,228,2,0,0,115,64,0,0,0,10,1,4,1,14,1, 8,1,22,1,2,1,12,1,2,128,12,1,4,1,2,128, 8,2,12,1,4,1,4,1,2,1,18,1,2,128,12,1, From 29e1c2ac39b344e9111239966cea29e99900bd76 Mon Sep 17 00:00:00 2001 From: Eric Snow Date: Wed, 2 Jun 2021 09:18:35 -0600 Subject: [PATCH 25/31] Leave the bottom numbers for locals kinds. --- Include/internal/pycore_code.h | 6 +- Python/importlib.h | 174 +++++++++++----------- Python/importlib_external.h | 262 ++++++++++++++++----------------- Python/importlib_zipimport.h | 72 ++++----- 4 files changed, 258 insertions(+), 256 deletions(-) diff --git a/Include/internal/pycore_code.h b/Include/internal/pycore_code.h index e5716279a71c20..c9d3ce84ef64b7 100644 --- a/Include/internal/pycore_code.h +++ b/Include/internal/pycore_code.h @@ -28,8 +28,10 @@ struct _PyOpcache { // We would use an enum if C let us specify the storage type. typedef unsigned char _PyFastLocalKind; -// Note that these all fit within _PyFastLocalKind, as do combinations. -#define CO_FAST_LOCAL 0x01 +/* Note that these all fit within _PyFastLocalKind, as do combinations. */ +// Later, we will use the smaller numbers to differentiate the different +// kinds of locals (e.g. pos-only arg, varkwargs, local-only). +#define CO_FAST_LOCAL 0x20 #define CO_FAST_CELL 0x40 #define CO_FAST_FREE 0x80 diff --git a/Python/importlib.h b/Python/importlib.h index ebde7a0f87c0e0..77b0bf78bf1522 100644 --- a/Python/importlib.h +++ b/Python/importlib.h @@ -59,7 +59,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 106,0,6,0,89,0,83,0,37,0,119,0,169,1,78,41, 3,218,12,95,95,113,117,97,108,110,97,109,101,95,95,218, 14,65,116,116,114,105,98,117,116,101,69,114,114,111,114,218, - 4,116,121,112,101,41,1,218,3,111,98,106,1,250,29,60, + 4,116,121,112,101,41,1,218,3,111,98,106,32,250,29,60, 102,114,111,122,101,110,32,105,109,112,111,114,116,108,105,98, 46,95,98,111,111,116,115,116,114,97,112,62,218,12,95,111, 98,106,101,99,116,95,110,97,109,101,23,0,0,0,115,14, @@ -80,14 +80,14 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 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, - 7,114,101,112,108,97,99,101,1,1,1,114,5,0,0,0, + 7,114,101,112,108,97,99,101,32,32,32,114,5,0,0,0, 218,5,95,119,114,97,112,40,0,0,0,115,10,0,0,0, 8,2,10,1,18,1,2,128,18,1,243,0,0,0,0,114, 16,0,0,0,99,1,0,0,0,0,0,0,0,0,0,0, 0,2,0,0,0,67,0,0,0,115,12,0,0,0,116,0, 116,1,131,1,124,0,131,1,83,0,114,0,0,0,0,41, 2,114,3,0,0,0,218,3,115,121,115,169,1,218,4,110, - 97,109,101,1,114,5,0,0,0,218,11,95,110,101,119,95, + 97,109,101,32,114,5,0,0,0,218,11,95,110,101,119,95, 109,111,100,117,108,101,48,0,0,0,115,2,0,0,0,12, 1,114,17,0,0,0,114,21,0,0,0,99,0,0,0,0, 0,0,0,0,0,0,0,0,1,0,0,0,64,0,0,0, @@ -123,7 +123,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 218,4,108,111,99,107,218,6,119,97,107,101,117,112,114,20, 0,0,0,218,5,111,119,110,101,114,218,5,99,111,117,110, 116,218,7,119,97,105,116,101,114,115,169,2,218,4,115,101, - 108,102,114,20,0,0,0,1,1,114,5,0,0,0,218,8, + 108,102,114,20,0,0,0,32,32,114,5,0,0,0,218,8, 95,95,105,110,105,116,95,95,71,0,0,0,115,12,0,0, 0,10,1,10,1,6,1,6,1,6,1,10,1,114,17,0, 0,0,122,20,95,77,111,100,117,108,101,76,111,99,107,46, @@ -139,8 +139,8 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 30,0,0,0,218,3,115,101,116,218,12,95,98,108,111,99, 107,105,110,103,95,111,110,218,3,103,101,116,218,3,97,100, 100,41,5,114,34,0,0,0,90,2,109,101,218,3,116,105, - 100,90,4,115,101,101,110,114,28,0,0,0,1,1,1,1, - 1,114,5,0,0,0,218,12,104,97,115,95,100,101,97,100, + 100,90,4,115,101,101,110,114,28,0,0,0,32,32,32,32, + 32,114,5,0,0,0,218,12,104,97,115,95,100,101,97,100, 108,111,99,107,79,0,0,0,115,28,0,0,0,8,2,6, 1,6,1,2,1,10,1,8,1,4,1,6,1,8,1,4, 1,8,1,4,6,10,1,2,242,114,17,0,0,0,122,24, @@ -179,7 +179,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 0,114,42,0,0,0,114,22,0,0,0,114,29,0,0,0, 218,7,97,99,113,117,105,114,101,114,32,0,0,0,218,7, 114,101,108,101,97,115,101,169,2,114,34,0,0,0,114,41, - 0,0,0,1,1,114,5,0,0,0,114,44,0,0,0,100, + 0,0,0,32,32,114,5,0,0,0,114,44,0,0,0,100, 0,0,0,115,44,0,0,0,8,6,8,1,2,1,2,1, 8,1,20,1,6,1,14,1,2,1,10,252,10,13,8,248, 12,1,12,1,14,1,12,248,22,128,10,10,10,1,2,244, @@ -205,8 +205,8 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 0,0,41,9,114,27,0,0,0,114,36,0,0,0,114,28, 0,0,0,114,30,0,0,0,218,12,82,117,110,116,105,109, 101,69,114,114,111,114,114,31,0,0,0,114,32,0,0,0, - 114,29,0,0,0,114,45,0,0,0,114,46,0,0,0,1, - 1,114,5,0,0,0,114,45,0,0,0,125,0,0,0,115, + 114,29,0,0,0,114,45,0,0,0,114,46,0,0,0,32, + 32,114,5,0,0,0,114,45,0,0,0,125,0,0,0,115, 28,0,0,0,8,1,8,1,10,1,8,1,14,1,14,1, 10,1,6,1,6,1,14,1,10,1,14,247,22,128,4,0, 115,15,0,0,0,135,47,61,3,189,4,65,1,11,193,2, @@ -217,7 +217,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 1,161,2,83,0,41,2,78,122,23,95,77,111,100,117,108, 101,76,111,99,107,40,123,33,114,125,41,32,97,116,32,123, 125,169,3,218,6,102,111,114,109,97,116,114,20,0,0,0, - 218,2,105,100,169,1,114,34,0,0,0,1,114,5,0,0, + 218,2,105,100,169,1,114,34,0,0,0,32,114,5,0,0, 0,218,8,95,95,114,101,112,114,95,95,138,0,0,0,243, 2,0,0,0,18,1,114,17,0,0,0,122,20,95,77,111, 100,117,108,101,76,111,99,107,46,95,95,114,101,112,114,95, @@ -242,7 +242,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 0,0,0,0,2,0,0,0,67,0,0,0,115,16,0,0, 0,124,1,124,0,95,0,100,1,124,0,95,1,100,0,83, 0,114,25,0,0,0,41,2,114,20,0,0,0,114,31,0, - 0,0,114,33,0,0,0,1,1,114,5,0,0,0,114,35, + 0,0,114,33,0,0,0,32,32,114,5,0,0,0,114,35, 0,0,0,146,0,0,0,243,4,0,0,0,6,1,10,1, 114,17,0,0,0,122,25,95,68,117,109,109,121,77,111,100, 117,108,101,76,111,99,107,46,95,95,105,110,105,116,95,95, @@ -250,7 +250,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 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, 43,0,0,0,84,41,1,114,31,0,0,0,114,53,0,0, - 0,1,114,5,0,0,0,114,44,0,0,0,150,0,0,0, + 0,32,114,5,0,0,0,114,44,0,0,0,150,0,0,0, 115,4,0,0,0,14,1,4,1,114,17,0,0,0,122,24, 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, @@ -259,7 +259,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 131,1,130,1,124,0,4,0,106,0,100,3,56,0,2,0, 95,0,100,0,83,0,41,4,78,114,26,0,0,0,114,47, 0,0,0,114,43,0,0,0,41,2,114,31,0,0,0,114, - 48,0,0,0,114,53,0,0,0,1,114,5,0,0,0,114, + 48,0,0,0,114,53,0,0,0,32,114,5,0,0,0,114, 45,0,0,0,154,0,0,0,115,6,0,0,0,10,1,8, 1,18,1,114,17,0,0,0,122,24,95,68,117,109,109,121, 77,111,100,117,108,101,76,111,99,107,46,114,101,108,101,97, @@ -267,7 +267,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 0,0,0,67,0,0,0,114,49,0,0,0,41,2,78,122, 28,95,68,117,109,109,121,77,111,100,117,108,101,76,111,99, 107,40,123,33,114,125,41,32,97,116,32,123,125,114,50,0, - 0,0,114,53,0,0,0,1,114,5,0,0,0,114,54,0, + 0,0,114,53,0,0,0,32,114,5,0,0,0,114,54,0, 0,0,159,0,0,0,114,55,0,0,0,114,17,0,0,0, 122,25,95,68,117,109,109,121,77,111,100,117,108,101,76,111, 99,107,46,95,95,114,101,112,114,95,95,78,41,8,114,8, @@ -285,7 +285,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 0,0,0,0,0,2,0,0,0,67,0,0,0,115,16,0, 0,0,124,1,124,0,95,0,100,0,124,0,95,1,100,0, 83,0,114,0,0,0,0,41,2,218,5,95,110,97,109,101, - 218,5,95,108,111,99,107,114,33,0,0,0,1,1,114,5, + 218,5,95,108,111,99,107,114,33,0,0,0,32,32,114,5, 0,0,0,114,35,0,0,0,165,0,0,0,114,57,0,0, 0,114,17,0,0,0,122,27,95,77,111,100,117,108,101,76, 111,99,107,77,97,110,97,103,101,114,46,95,95,105,110,105, @@ -295,7 +295,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 0,1,0,100,0,83,0,114,0,0,0,0,41,4,218,16, 95,103,101,116,95,109,111,100,117,108,101,95,108,111,99,107, 114,59,0,0,0,114,60,0,0,0,114,44,0,0,0,114, - 53,0,0,0,1,114,5,0,0,0,218,9,95,95,101,110, + 53,0,0,0,32,114,5,0,0,0,218,9,95,95,101,110, 116,101,114,95,95,169,0,0,0,115,4,0,0,0,12,1, 14,1,114,17,0,0,0,122,28,95,77,111,100,117,108,101, 76,111,99,107,77,97,110,97,103,101,114,46,95,95,101,110, @@ -304,7 +304,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 0,106,0,160,1,161,0,1,0,100,0,83,0,114,0,0, 0,0,41,2,114,60,0,0,0,114,45,0,0,0,41,3, 114,34,0,0,0,218,4,97,114,103,115,90,6,107,119,97, - 114,103,115,1,1,1,114,5,0,0,0,218,8,95,95,101, + 114,103,115,32,32,32,114,5,0,0,0,218,8,95,95,101, 120,105,116,95,95,173,0,0,0,115,2,0,0,0,14,1, 114,17,0,0,0,122,27,95,77,111,100,117,108,101,76,111, 99,107,77,97,110,97,103,101,114,46,95,95,101,120,105,116, @@ -341,7 +341,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 218,12,97,99,113,117,105,114,101,95,108,111,99,107,218,13, 95,109,111,100,117,108,101,95,108,111,99,107,115,114,39,0, 0,0,218,12,114,101,108,101,97,115,101,95,108,111,99,107, - 41,2,218,3,114,101,102,114,20,0,0,0,1,1,114,5, + 41,2,218,3,114,101,102,114,20,0,0,0,32,32,114,5, 0,0,0,218,2,99,98,198,0,0,0,115,16,0,0,0, 8,1,2,1,14,4,6,1,12,2,2,128,10,0,2,128, 115,8,0,0,0,133,10,21,0,149,6,27,7,122,28,95, @@ -351,7 +351,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 121,69,114,114,111,114,114,27,0,0,0,114,56,0,0,0, 114,24,0,0,0,218,8,95,119,101,97,107,114,101,102,114, 69,0,0,0,114,68,0,0,0,41,3,114,20,0,0,0, - 114,28,0,0,0,114,70,0,0,0,1,1,1,114,5,0, + 114,28,0,0,0,114,70,0,0,0,32,32,32,114,5,0, 0,0,114,61,0,0,0,179,0,0,0,115,40,0,0,0, 8,6,2,1,2,1,12,1,2,128,12,1,8,1,2,128, 8,2,8,1,10,1,8,2,12,2,16,11,8,2,4,2, @@ -377,7 +377,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 101,114,32,116,104,114,101,97,100,46,10,32,32,32,32,78, 41,4,114,61,0,0,0,114,44,0,0,0,114,22,0,0, 0,114,45,0,0,0,41,2,114,20,0,0,0,114,28,0, - 0,0,1,1,114,5,0,0,0,218,19,95,108,111,99,107, + 0,0,32,32,114,5,0,0,0,218,19,95,108,111,99,107, 95,117,110,108,111,99,107,95,109,111,100,117,108,101,216,0, 0,0,115,18,0,0,0,8,6,2,1,10,1,2,128,12, 1,6,3,2,128,12,2,2,251,115,12,0,0,0,133,4, @@ -405,7 +405,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 99,117,116,105,110,103,10,32,32,32,32,109,111,100,117,108, 101,32,99,111,100,101,41,10,32,32,32,32,78,114,23,0, 0,0,41,3,218,1,102,114,63,0,0,0,90,4,107,119, - 100,115,1,1,1,114,5,0,0,0,218,25,95,99,97,108, + 100,115,32,32,32,114,5,0,0,0,218,25,95,99,97,108, 108,95,119,105,116,104,95,102,114,97,109,101,115,95,114,101, 109,111,118,101,100,233,0,0,0,115,2,0,0,0,14,8, 114,17,0,0,0,114,75,0,0,0,114,43,0,0,0,41, @@ -425,7 +425,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 111,115,101,218,10,115,116,97,114,116,115,119,105,116,104,218, 5,112,114,105,110,116,114,51,0,0,0,218,6,115,116,100, 101,114,114,41,3,218,7,109,101,115,115,97,103,101,114,76, - 0,0,0,114,63,0,0,0,1,1,1,114,5,0,0,0, + 0,0,0,114,63,0,0,0,32,32,32,114,5,0,0,0, 218,16,95,118,101,114,98,111,115,101,95,109,101,115,115,97, 103,101,244,0,0,0,115,10,0,0,0,12,2,10,1,8, 1,24,1,4,253,114,17,0,0,0,114,84,0,0,0,99, @@ -446,7 +446,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 109,111,100,117,108,101,95,110,97,109,101,115,218,11,73,109, 112,111,114,116,69,114,114,111,114,114,51,0,0,0,169,3, 114,34,0,0,0,218,8,102,117,108,108,110,97,109,101,218, - 3,102,120,110,1,1,128,114,5,0,0,0,218,25,95,114, + 3,102,120,110,32,32,128,114,5,0,0,0,218,25,95,114, 101,113,117,105,114,101,115,95,98,117,105,108,116,105,110,95, 119,114,97,112,112,101,114,254,0,0,0,243,10,0,0,0, 10,1,10,1,2,1,6,255,10,2,114,17,0,0,0,122, @@ -454,7 +454,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 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, 97,112,112,101,114,78,169,1,114,16,0,0,0,41,3,114, - 91,0,0,0,114,92,0,0,0,114,91,0,0,0,65,1, + 91,0,0,0,114,92,0,0,0,114,91,0,0,0,96,32, 64,114,5,0,0,0,218,17,95,114,101,113,117,105,114,101, 115,95,98,117,105,108,116,105,110,252,0,0,0,243,6,0, 0,0,12,2,10,5,4,1,114,17,0,0,0,114,95,0, @@ -471,7 +471,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 97,32,102,114,111,122,101,110,32,109,111,100,117,108,101,114, 19,0,0,0,41,4,114,65,0,0,0,218,9,105,115,95, 102,114,111,122,101,110,114,88,0,0,0,114,51,0,0,0, - 114,89,0,0,0,1,1,128,114,5,0,0,0,218,24,95, + 114,89,0,0,0,32,32,128,114,5,0,0,0,218,24,95, 114,101,113,117,105,114,101,115,95,102,114,111,122,101,110,95, 119,114,97,112,112,101,114,9,1,0,0,114,93,0,0,0, 114,17,0,0,0,122,50,95,114,101,113,117,105,114,101,115, @@ -479,7 +479,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 46,95,114,101,113,117,105,114,101,115,95,102,114,111,122,101, 110,95,119,114,97,112,112,101,114,78,114,94,0,0,0,41, 3,114,91,0,0,0,114,99,0,0,0,114,91,0,0,0, - 65,1,64,114,5,0,0,0,218,16,95,114,101,113,117,105, + 96,32,64,114,5,0,0,0,218,16,95,114,101,113,117,105, 114,101,115,95,102,114,111,122,101,110,7,1,0,0,114,96, 0,0,0,114,17,0,0,0,114,100,0,0,0,99,2,0, 0,0,0,0,0,0,0,0,0,0,4,0,0,0,67,0, @@ -510,7 +510,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 7,109,111,100,117,108,101,115,218,5,95,101,120,101,99,218, 5,95,108,111,97,100,41,5,114,34,0,0,0,114,90,0, 0,0,218,3,109,115,103,218,4,115,112,101,99,218,6,109, - 111,100,117,108,101,1,1,1,1,1,114,5,0,0,0,218, + 111,100,117,108,101,32,32,32,32,32,114,5,0,0,0,218, 17,95,108,111,97,100,95,109,111,100,117,108,101,95,115,104, 105,109,19,1,0,0,115,16,0,0,0,4,6,12,2,10, 1,10,1,10,1,10,1,10,1,8,2,114,17,0,0,0, @@ -544,7 +544,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 2,0,0,0,218,8,95,95,102,105,108,101,95,95,114,51, 0,0,0,41,5,114,110,0,0,0,218,6,108,111,97,100, 101,114,114,109,0,0,0,114,20,0,0,0,218,8,102,105, - 108,101,110,97,109,101,1,1,1,1,1,114,5,0,0,0, + 108,101,110,97,109,101,32,32,32,32,32,114,5,0,0,0, 218,12,95,109,111,100,117,108,101,95,114,101,112,114,38,1, 0,0,115,56,0,0,0,12,2,16,1,8,1,10,1,2, 1,10,1,2,128,12,1,4,1,2,128,2,2,8,1,2, @@ -670,7 +670,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 110,115,218,13,95,115,101,116,95,102,105,108,101,97,116,116, 114,218,7,95,99,97,99,104,101,100,41,6,114,34,0,0, 0,114,20,0,0,0,114,122,0,0,0,114,126,0,0,0, - 114,127,0,0,0,114,128,0,0,0,1,1,1,1,1,1, + 114,127,0,0,0,114,128,0,0,0,32,32,32,32,32,32, 114,5,0,0,0,114,35,0,0,0,101,1,0,0,115,14, 0,0,0,6,2,6,1,6,1,6,1,14,1,6,3,10, 1,114,17,0,0,0,122,19,77,111,100,117,108,101,83,112, @@ -692,7 +692,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 126,0,0,0,218,6,97,112,112,101,110,100,114,129,0,0, 0,218,9,95,95,99,108,97,115,115,95,95,114,8,0,0, 0,218,4,106,111,105,110,41,2,114,34,0,0,0,114,63, - 0,0,0,1,1,114,5,0,0,0,114,54,0,0,0,113, + 0,0,0,32,32,114,5,0,0,0,114,54,0,0,0,113, 1,0,0,115,20,0,0,0,10,1,10,1,4,255,10,2, 18,1,10,1,6,1,8,1,4,255,22,2,114,17,0,0, 0,122,19,77,111,100,117,108,101,83,112,101,99,46,95,95, @@ -710,7 +710,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 95,108,111,99,97,116,105,111,110,114,2,0,0,0,218,14, 78,111,116,73,109,112,108,101,109,101,110,116,101,100,41,3, 114,34,0,0,0,90,5,111,116,104,101,114,90,4,115,109, - 115,108,1,1,1,114,5,0,0,0,218,6,95,95,101,113, + 115,108,32,32,32,114,5,0,0,0,218,6,95,95,101,113, 95,95,123,1,0,0,115,36,0,0,0,6,1,2,1,12, 1,10,1,2,255,10,2,2,254,8,3,2,253,10,4,2, 252,10,5,2,251,2,128,12,6,8,1,2,128,2,255,115, @@ -726,14 +726,14 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 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, - 99,104,101,100,114,53,0,0,0,1,114,5,0,0,0,114, + 99,104,101,100,114,53,0,0,0,32,114,5,0,0,0,114, 135,0,0,0,135,1,0,0,115,12,0,0,0,10,2,16, 1,8,1,4,1,14,1,6,1,114,17,0,0,0,122,17, 77,111,100,117,108,101,83,112,101,99,46,99,97,99,104,101, 100,99,2,0,0,0,0,0,0,0,0,0,0,0,2,0, 0,0,67,0,0,0,115,10,0,0,0,124,1,124,0,95, 0,100,0,83,0,114,0,0,0,0,41,1,114,131,0,0, - 0,41,2,114,34,0,0,0,114,135,0,0,0,1,1,114, + 0,41,2,114,34,0,0,0,114,135,0,0,0,32,32,114, 5,0,0,0,114,135,0,0,0,144,1,0,0,115,2,0, 0,0,10,2,114,17,0,0,0,99,1,0,0,0,0,0, 0,0,0,0,0,0,3,0,0,0,67,0,0,0,115,32, @@ -743,22 +743,22 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 111,102,32,116,104,101,32,109,111,100,117,108,101,39,115,32, 112,97,114,101,110,116,46,78,218,1,46,114,26,0,0,0, 41,3,114,129,0,0,0,114,20,0,0,0,218,10,114,112, - 97,114,116,105,116,105,111,110,114,53,0,0,0,1,114,5, + 97,114,116,105,116,105,111,110,114,53,0,0,0,32,114,5, 0,0,0,218,6,112,97,114,101,110,116,148,1,0,0,115, 6,0,0,0,10,3,16,1,6,2,114,17,0,0,0,122, 17,77,111,100,117,108,101,83,112,101,99,46,112,97,114,101, 110,116,99,1,0,0,0,0,0,0,0,0,0,0,0,1, 0,0,0,67,0,0,0,115,6,0,0,0,124,0,106,0, 83,0,114,0,0,0,0,41,1,114,130,0,0,0,114,53, - 0,0,0,1,114,5,0,0,0,114,136,0,0,0,156,1, + 0,0,0,32,114,5,0,0,0,114,136,0,0,0,156,1, 0,0,115,2,0,0,0,6,2,114,17,0,0,0,122,23, 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, 0,0,0,0,2,0,0,0,67,0,0,0,115,14,0,0, 0,116,0,124,1,131,1,124,0,95,1,100,0,83,0,114, 0,0,0,0,41,2,218,4,98,111,111,108,114,130,0,0, - 0,41,2,114,34,0,0,0,218,5,118,97,108,117,101,1, - 1,114,5,0,0,0,114,136,0,0,0,160,1,0,0,115, + 0,41,2,114,34,0,0,0,218,5,118,97,108,117,101,32, + 32,114,5,0,0,0,114,136,0,0,0,160,1,0,0,115, 2,0,0,0,14,2,114,17,0,0,0,41,12,114,8,0, 0,0,114,7,0,0,0,114,1,0,0,0,114,9,0,0, 0,114,35,0,0,0,114,54,0,0,0,114,138,0,0,0, @@ -792,7 +792,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 105,111,110,114,128,0,0,0,114,88,0,0,0,114,125,0, 0,0,41,6,114,20,0,0,0,114,122,0,0,0,114,126, 0,0,0,114,128,0,0,0,114,149,0,0,0,90,6,115, - 101,97,114,99,104,1,1,1,1,1,1,114,5,0,0,0, + 101,97,114,99,104,32,32,32,32,32,32,114,5,0,0,0, 114,104,0,0,0,165,1,0,0,115,42,0,0,0,10,2, 8,1,4,1,6,1,8,2,12,1,12,1,6,1,2,1, 6,255,8,3,10,1,2,1,12,1,2,128,12,1,8,1, @@ -827,8 +827,8 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 0,0,0,114,135,0,0,0,114,129,0,0,0,41,8,114, 110,0,0,0,114,122,0,0,0,114,126,0,0,0,114,109, 0,0,0,114,20,0,0,0,90,8,108,111,99,97,116,105, - 111,110,114,135,0,0,0,114,129,0,0,0,1,1,1,1, - 1,1,1,1,114,5,0,0,0,218,17,95,115,112,101,99, + 111,110,114,135,0,0,0,114,129,0,0,0,32,32,32,32, + 32,32,32,32,114,5,0,0,0,218,17,95,115,112,101,99, 95,102,114,111,109,95,109,111,100,117,108,101,191,1,0,0, 115,108,0,0,0,2,2,8,1,2,128,12,1,4,1,2, 128,8,2,4,1,6,2,8,1,2,1,8,1,2,128,12, @@ -886,8 +886,8 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 158,0,0,0,114,113,0,0,0,114,154,0,0,0,114,136, 0,0,0,114,126,0,0,0,114,135,0,0,0,114,152,0, 0,0,41,5,114,109,0,0,0,114,110,0,0,0,114,157, - 0,0,0,114,122,0,0,0,114,159,0,0,0,1,1,1, - 1,1,114,5,0,0,0,218,18,95,105,110,105,116,95,109, + 0,0,0,114,122,0,0,0,114,159,0,0,0,32,32,32, + 32,32,114,5,0,0,0,218,18,95,105,110,105,116,95,109, 111,100,117,108,101,95,97,116,116,114,115,236,1,0,0,115, 142,0,0,0,20,4,2,1,10,1,2,128,12,1,4,1, 2,128,20,2,6,1,8,1,10,2,8,1,4,1,6,1, @@ -925,7 +925,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 41,41,7,114,10,0,0,0,114,122,0,0,0,114,162,0, 0,0,114,88,0,0,0,114,21,0,0,0,114,20,0,0, 0,114,161,0,0,0,169,2,114,109,0,0,0,114,110,0, - 0,0,1,1,114,5,0,0,0,218,16,109,111,100,117,108, + 0,0,32,32,114,5,0,0,0,218,16,109,111,100,117,108, 101,95,102,114,111,109,95,115,112,101,99,52,2,0,0,115, 18,0,0,0,4,3,12,1,14,3,12,1,8,1,8,2, 10,1,10,1,4,1,114,17,0,0,0,114,165,0,0,0, @@ -944,7 +944,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 109,111,100,117,108,101,32,123,33,114,125,32,40,123,125,41, 62,41,5,114,20,0,0,0,114,126,0,0,0,114,122,0, 0,0,114,51,0,0,0,114,136,0,0,0,41,2,114,109, - 0,0,0,114,20,0,0,0,1,1,114,5,0,0,0,114, + 0,0,0,114,20,0,0,0,32,32,114,5,0,0,0,114, 119,0,0,0,69,2,0,0,115,16,0,0,0,20,3,10, 1,10,1,10,1,14,2,6,2,14,1,16,2,114,17,0, 0,0,114,119,0,0,0,99,2,0,0,0,0,0,0,0, @@ -987,7 +987,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 109,112,111,114,116,87,97,114,110,105,110,103,218,11,108,111, 97,100,95,109,111,100,117,108,101,114,163,0,0,0,218,3, 112,111,112,41,4,114,109,0,0,0,114,110,0,0,0,114, - 20,0,0,0,114,108,0,0,0,1,1,1,1,114,5,0, + 20,0,0,0,114,108,0,0,0,32,32,32,32,114,5,0, 0,0,114,106,0,0,0,86,2,0,0,115,50,0,0,0, 6,2,10,1,16,1,10,1,12,1,2,1,10,1,10,1, 14,1,16,2,14,2,12,1,16,1,12,2,14,1,12,2, @@ -1021,7 +1021,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 0,114,171,0,0,0,114,12,0,0,0,114,112,0,0,0, 114,2,0,0,0,114,8,0,0,0,114,158,0,0,0,114, 10,0,0,0,114,142,0,0,0,114,113,0,0,0,114,164, - 0,0,0,1,1,114,5,0,0,0,218,25,95,108,111,97, + 0,0,0,32,32,114,5,0,0,0,218,25,95,108,111,97, 100,95,98,97,99,107,119,97,114,100,95,99,111,109,112,97, 116,105,98,108,101,116,2,0,0,115,80,0,0,0,2,3, 16,1,2,128,6,1,12,1,14,1,12,1,2,1,2,128, @@ -1060,7 +1060,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 114,105,0,0,0,114,20,0,0,0,114,129,0,0,0,114, 88,0,0,0,114,163,0,0,0,114,71,0,0,0,114,171, 0,0,0,114,84,0,0,0,41,3,114,109,0,0,0,114, - 108,0,0,0,114,110,0,0,0,1,1,1,114,5,0,0, + 108,0,0,0,114,110,0,0,0,32,32,32,114,5,0,0, 0,218,14,95,108,111,97,100,95,117,110,108,111,99,107,101, 100,152,2,0,0,115,66,0,0,0,10,2,12,2,16,1, 12,2,8,1,8,2,6,5,2,1,12,1,2,1,10,1, @@ -1090,7 +1090,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 117,108,101,32,103,101,116,115,10,32,32,32,32,99,108,111, 98,98,101,114,101,100,46,10,10,32,32,32,32,78,41,3, 114,58,0,0,0,114,20,0,0,0,114,173,0,0,0,169, - 1,114,109,0,0,0,1,114,5,0,0,0,114,107,0,0, + 1,114,109,0,0,0,32,114,5,0,0,0,114,107,0,0, 0,197,2,0,0,115,10,0,0,0,12,9,6,1,14,255, 22,128,4,0,115,12,0,0,0,133,4,16,3,144,4,20, 11,149,3,20,11,114,107,0,0,0,99,0,0,0,0,0, @@ -1134,7 +1134,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 32,51,46,49,50,122,8,60,109,111,100,117,108,101,32,122, 2,32,40,122,2,41,62,78,41,6,114,101,0,0,0,114, 102,0,0,0,114,103,0,0,0,114,8,0,0,0,114,175, - 0,0,0,114,151,0,0,0,169,1,114,110,0,0,0,1, + 0,0,0,114,151,0,0,0,169,1,114,110,0,0,0,32, 114,5,0,0,0,114,114,0,0,0,223,2,0,0,115,8, 0,0,0,6,7,2,1,4,255,22,2,114,17,0,0,0, 122,27,66,117,105,108,116,105,110,73,109,112,111,114,116,101, @@ -1147,7 +1147,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 0,90,10,105,115,95,98,117,105,108,116,105,110,114,104,0, 0,0,114,151,0,0,0,169,4,218,3,99,108,115,114,90, 0,0,0,218,4,112,97,116,104,218,6,116,97,114,103,101, - 116,1,1,1,1,114,5,0,0,0,218,9,102,105,110,100, + 116,32,32,32,32,114,5,0,0,0,218,9,102,105,110,100, 95,115,112,101,99,234,2,0,0,115,10,0,0,0,8,2, 4,1,10,1,16,1,4,2,114,17,0,0,0,122,25,66, 117,105,108,116,105,110,73,109,112,111,114,116,101,114,46,102, @@ -1176,8 +1176,8 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 99,40,41,32,105,110,115,116,101,97,100,78,41,5,114,101, 0,0,0,114,102,0,0,0,114,103,0,0,0,114,183,0, 0,0,114,122,0,0,0,41,4,114,180,0,0,0,114,90, - 0,0,0,114,181,0,0,0,114,109,0,0,0,1,1,1, - 1,114,5,0,0,0,218,11,102,105,110,100,95,109,111,100, + 0,0,0,114,181,0,0,0,114,109,0,0,0,32,32,32, + 32,114,5,0,0,0,218,11,102,105,110,100,95,109,111,100, 117,108,101,243,2,0,0,115,10,0,0,0,6,9,2,2, 4,254,12,3,18,1,114,17,0,0,0,122,27,66,117,105, 108,116,105,110,73,109,112,111,114,116,101,114,46,102,105,110, @@ -1192,7 +1192,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 0,0,0,114,87,0,0,0,114,88,0,0,0,114,51,0, 0,0,114,75,0,0,0,114,65,0,0,0,90,14,99,114, 101,97,116,101,95,98,117,105,108,116,105,110,114,174,0,0, - 0,1,114,5,0,0,0,114,162,0,0,0,2,3,0,0, + 0,32,114,5,0,0,0,114,162,0,0,0,2,3,0,0, 115,10,0,0,0,12,3,12,1,4,1,6,255,12,2,114, 17,0,0,0,122,29,66,117,105,108,116,105,110,73,109,112, 111,114,116,101,114,46,99,114,101,97,116,101,95,109,111,100, @@ -1202,7 +1202,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 22,69,120,101,99,32,97,32,98,117,105,108,116,45,105,110, 32,109,111,100,117,108,101,78,41,3,114,75,0,0,0,114, 65,0,0,0,90,12,101,120,101,99,95,98,117,105,108,116, - 105,110,114,177,0,0,0,1,114,5,0,0,0,114,163,0, + 105,110,114,177,0,0,0,32,114,5,0,0,0,114,163,0, 0,0,10,3,0,0,115,2,0,0,0,16,3,114,17,0, 0,0,122,27,66,117,105,108,116,105,110,73,109,112,111,114, 116,101,114,46,101,120,101,99,95,109,111,100,117,108,101,99, @@ -1212,7 +1212,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 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, 101,32,111,98,106,101,99,116,115,46,78,114,23,0,0,0, - 169,2,114,180,0,0,0,114,90,0,0,0,1,1,114,5, + 169,2,114,180,0,0,0,114,90,0,0,0,32,32,114,5, 0,0,0,218,8,103,101,116,95,99,111,100,101,15,3,0, 0,243,2,0,0,0,4,4,114,17,0,0,0,122,24,66, 117,105,108,116,105,110,73,109,112,111,114,116,101,114,46,103, @@ -1222,7 +1222,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 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, 32,115,111,117,114,99,101,32,99,111,100,101,46,78,114,23, - 0,0,0,114,186,0,0,0,1,1,114,5,0,0,0,218, + 0,0,0,114,186,0,0,0,32,32,114,5,0,0,0,218, 10,103,101,116,95,115,111,117,114,99,101,21,3,0,0,114, 188,0,0,0,114,17,0,0,0,122,26,66,117,105,108,116, 105,110,73,109,112,111,114,116,101,114,46,103,101,116,95,115, @@ -1232,7 +1232,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 97,115,32,98,117,105,108,116,45,105,110,32,109,111,100,117, 108,101,115,32,97,114,101,32,110,101,118,101,114,32,112,97, 99,107,97,103,101,115,46,70,78,114,23,0,0,0,114,186, - 0,0,0,1,1,114,5,0,0,0,114,128,0,0,0,27, + 0,0,0,32,32,114,5,0,0,0,114,128,0,0,0,27, 3,0,0,114,188,0,0,0,114,17,0,0,0,122,26,66, 117,105,108,116,105,110,73,109,112,111,114,116,101,114,46,105, 115,95,112,97,99,107,97,103,101,169,2,78,78,114,0,0, @@ -1281,7 +1281,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 49,50,114,166,0,0,0,78,41,7,114,101,0,0,0,114, 102,0,0,0,114,103,0,0,0,114,51,0,0,0,114,8, 0,0,0,114,193,0,0,0,114,151,0,0,0,41,1,218, - 1,109,1,114,5,0,0,0,114,114,0,0,0,47,3,0, + 1,109,32,114,5,0,0,0,114,114,0,0,0,47,3,0, 0,115,8,0,0,0,6,7,2,1,4,255,16,2,114,17, 0,0,0,122,26,70,114,111,122,101,110,73,109,112,111,114, 116,101,114,46,109,111,100,117,108,101,95,114,101,112,114,78, @@ -1290,7 +1290,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 161,1,114,13,116,2,124,1,124,0,124,0,106,3,100,1, 141,3,83,0,100,0,83,0,114,178,0,0,0,41,4,114, 65,0,0,0,114,98,0,0,0,114,104,0,0,0,114,151, - 0,0,0,114,179,0,0,0,1,1,1,1,114,5,0,0, + 0,0,0,114,179,0,0,0,32,32,32,32,114,5,0,0, 0,114,183,0,0,0,58,3,0,0,115,6,0,0,0,10, 2,16,1,4,2,114,17,0,0,0,122,24,70,114,111,122, 101,110,73,109,112,111,114,116,101,114,46,102,105,110,100,95, @@ -1313,7 +1313,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 32,105,110,115,116,101,97,100,78,41,5,114,101,0,0,0, 114,102,0,0,0,114,103,0,0,0,114,65,0,0,0,114, 98,0,0,0,41,3,114,180,0,0,0,114,90,0,0,0, - 114,181,0,0,0,1,1,1,114,5,0,0,0,114,184,0, + 114,181,0,0,0,32,32,32,114,5,0,0,0,114,184,0, 0,0,65,3,0,0,115,8,0,0,0,6,7,2,2,4, 254,18,3,114,17,0,0,0,122,26,70,114,111,122,101,110, 73,109,112,111,114,116,101,114,46,102,105,110,100,95,109,111, @@ -1322,7 +1322,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 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, 108,101,32,99,114,101,97,116,105,111,110,46,78,114,23,0, - 0,0,114,174,0,0,0,1,114,5,0,0,0,114,162,0, + 0,0,114,174,0,0,0,32,114,5,0,0,0,114,162,0, 0,0,77,3,0,0,115,2,0,0,0,4,0,114,17,0, 0,0,122,28,70,114,111,122,101,110,73,109,112,111,114,116, 101,114,46,99,114,101,97,116,101,95,109,111,100,117,108,101, @@ -1337,7 +1337,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 75,0,0,0,218,17,103,101,116,95,102,114,111,122,101,110, 95,111,98,106,101,99,116,218,4,101,120,101,99,114,13,0, 0,0,41,3,114,110,0,0,0,114,20,0,0,0,218,4, - 99,111,100,101,1,1,1,114,5,0,0,0,114,163,0,0, + 99,111,100,101,32,32,32,114,5,0,0,0,114,163,0,0, 0,81,3,0,0,115,14,0,0,0,8,2,10,1,10,1, 2,1,6,255,12,2,16,1,114,17,0,0,0,122,26,70, 114,111,122,101,110,73,109,112,111,114,116,101,114,46,101,120, @@ -1350,7 +1350,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 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, - 78,41,1,114,111,0,0,0,114,186,0,0,0,1,1,114, + 78,41,1,114,111,0,0,0,114,186,0,0,0,32,32,114, 5,0,0,0,114,170,0,0,0,90,3,0,0,115,2,0, 0,0,10,8,114,17,0,0,0,122,26,70,114,111,122,101, 110,73,109,112,111,114,116,101,114,46,108,111,97,100,95,109, @@ -1360,7 +1360,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 117,114,110,32,116,104,101,32,99,111,100,101,32,111,98,106, 101,99,116,32,102,111,114,32,116,104,101,32,102,114,111,122, 101,110,32,109,111,100,117,108,101,46,78,41,2,114,65,0, - 0,0,114,195,0,0,0,114,186,0,0,0,1,1,114,5, + 0,0,114,195,0,0,0,114,186,0,0,0,32,32,114,5, 0,0,0,114,187,0,0,0,100,3,0,0,243,2,0,0, 0,10,4,114,17,0,0,0,122,23,70,114,111,122,101,110, 73,109,112,111,114,116,101,114,46,103,101,116,95,99,111,100, @@ -1370,7 +1370,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 111,122,101,110,32,109,111,100,117,108,101,115,32,100,111,32, 110,111,116,32,104,97,118,101,32,115,111,117,114,99,101,32, 99,111,100,101,46,78,114,23,0,0,0,114,186,0,0,0, - 1,1,114,5,0,0,0,114,189,0,0,0,106,3,0,0, + 32,32,114,5,0,0,0,114,189,0,0,0,106,3,0,0, 114,188,0,0,0,114,17,0,0,0,122,25,70,114,111,122, 101,110,73,109,112,111,114,116,101,114,46,103,101,116,95,115, 111,117,114,99,101,99,2,0,0,0,0,0,0,0,0,0, @@ -1380,7 +1380,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 117,108,101,32,105,115,32,97,32,112,97,99,107,97,103,101, 46,78,41,2,114,65,0,0,0,90,17,105,115,95,102,114, 111,122,101,110,95,112,97,99,107,97,103,101,114,186,0,0, - 0,1,1,114,5,0,0,0,114,128,0,0,0,112,3,0, + 0,32,32,114,5,0,0,0,114,128,0,0,0,112,3,0, 0,114,199,0,0,0,114,17,0,0,0,122,25,70,114,111, 122,101,110,73,109,112,111,114,116,101,114,46,105,115,95,112, 97,99,107,97,103,101,114,190,0,0,0,114,0,0,0,0, @@ -1407,7 +1407,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 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, 46,78,41,2,114,65,0,0,0,114,66,0,0,0,114,53, - 0,0,0,1,114,5,0,0,0,114,62,0,0,0,125,3, + 0,0,0,32,114,5,0,0,0,114,62,0,0,0,125,3, 0,0,243,2,0,0,0,12,2,114,17,0,0,0,122,28, 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, @@ -1419,8 +1419,8 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 116,105,111,110,115,46,78,41,2,114,65,0,0,0,114,68, 0,0,0,41,4,114,34,0,0,0,218,8,101,120,99,95, 116,121,112,101,218,9,101,120,99,95,118,97,108,117,101,218, - 13,101,120,99,95,116,114,97,99,101,98,97,99,107,1,1, - 1,1,114,5,0,0,0,114,64,0,0,0,129,3,0,0, + 13,101,120,99,95,116,114,97,99,101,98,97,99,107,32,32, + 32,32,114,5,0,0,0,114,64,0,0,0,129,3,0,0, 114,202,0,0,0,114,17,0,0,0,122,27,95,73,109,112, 111,114,116,76,111,99,107,67,111,110,116,101,120,116,46,95, 95,101,120,105,116,95,95,78,41,6,114,8,0,0,0,114, @@ -1445,7 +1445,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 6,114,115,112,108,105,116,218,3,108,101,110,114,88,0,0, 0,114,51,0,0,0,41,5,114,20,0,0,0,218,7,112, 97,99,107,97,103,101,218,5,108,101,118,101,108,90,4,98, - 105,116,115,90,4,98,97,115,101,1,1,1,1,1,114,5, + 105,116,115,90,4,98,97,115,101,32,32,32,32,32,114,5, 0,0,0,218,13,95,114,101,115,111,108,118,101,95,110,97, 109,101,134,3,0,0,115,10,0,0,0,16,2,12,1,8, 1,8,1,20,1,114,17,0,0,0,114,211,0,0,0,99, @@ -1461,8 +1461,8 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 6,114,6,0,0,0,114,101,0,0,0,114,102,0,0,0, 114,169,0,0,0,114,184,0,0,0,114,104,0,0,0,41, 5,218,6,102,105,110,100,101,114,114,20,0,0,0,114,181, - 0,0,0,114,108,0,0,0,114,122,0,0,0,1,1,1, - 1,1,114,5,0,0,0,218,17,95,102,105,110,100,95,115, + 0,0,0,114,108,0,0,0,114,122,0,0,0,32,32,32, + 32,32,114,5,0,0,0,218,17,95,102,105,110,100,95,115, 112,101,99,95,108,101,103,97,99,121,143,3,0,0,115,12, 0,0,0,14,1,12,2,12,1,8,1,4,1,10,1,114, 17,0,0,0,114,213,0,0,0,99,3,0,0,0,0,0, @@ -1499,8 +1499,8 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 114,20,0,0,0,114,181,0,0,0,114,182,0,0,0,114, 214,0,0,0,90,9,105,115,95,114,101,108,111,97,100,114, 212,0,0,0,114,183,0,0,0,114,109,0,0,0,114,110, - 0,0,0,114,113,0,0,0,1,1,1,1,1,1,1,1, - 1,1,114,5,0,0,0,218,10,95,102,105,110,100,95,115, + 0,0,0,114,113,0,0,0,32,32,32,32,32,32,32,32, + 32,32,114,5,0,0,0,218,10,95,102,105,110,100,95,115, 112,101,99,153,3,0,0,115,76,0,0,0,6,2,8,1, 8,2,4,3,12,1,10,5,8,1,8,1,2,1,8,1, 2,128,12,1,12,1,8,1,2,1,12,250,4,5,2,128, @@ -1536,7 +1536,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 115,116,114,218,9,84,121,112,101,69,114,114,111,114,114,51, 0,0,0,114,3,0,0,0,218,10,86,97,108,117,101,69, 114,114,111,114,114,88,0,0,0,169,3,114,20,0,0,0, - 114,209,0,0,0,114,210,0,0,0,1,1,1,114,5,0, + 114,209,0,0,0,114,210,0,0,0,32,32,32,114,5,0, 0,0,218,13,95,115,97,110,105,116,121,95,99,104,101,99, 107,200,3,0,0,115,24,0,0,0,10,2,18,1,8,1, 8,1,8,1,10,1,8,1,4,1,8,1,12,2,8,1, @@ -1577,7 +1577,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 112,111,114,116,95,114,181,0,0,0,114,143,0,0,0,90, 13,112,97,114,101,110,116,95,109,111,100,117,108,101,114,108, 0,0,0,114,109,0,0,0,114,110,0,0,0,90,5,99, - 104,105,108,100,1,1,1,1,1,1,1,1,1,114,5,0, + 104,105,108,100,32,32,32,32,32,32,32,32,32,114,5,0, 0,0,218,23,95,102,105,110,100,95,97,110,100,95,108,111, 97,100,95,117,110,108,111,99,107,101,100,219,3,0,0,115, 68,0,0,0,4,1,14,1,4,1,10,1,10,1,10,2, @@ -1606,7 +1606,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 0,0,218,14,95,78,69,69,68,83,95,76,79,65,68,73, 78,71,114,226,0,0,0,114,51,0,0,0,114,224,0,0, 0,114,73,0,0,0,41,4,114,20,0,0,0,114,225,0, - 0,0,114,110,0,0,0,114,83,0,0,0,1,1,1,1, + 0,0,114,110,0,0,0,114,83,0,0,0,32,32,32,32, 114,5,0,0,0,218,14,95,102,105,110,100,95,97,110,100, 95,108,111,97,100,254,3,0,0,115,30,0,0,0,10,2, 14,1,8,1,8,1,14,253,2,2,12,254,22,128,8,5, @@ -1638,7 +1638,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 111,97,100,101,114,32,100,105,100,32,110,111,116,46,10,10, 32,32,32,32,114,26,0,0,0,78,41,4,114,221,0,0, 0,114,211,0,0,0,114,228,0,0,0,218,11,95,103,99, - 100,95,105,109,112,111,114,116,114,220,0,0,0,1,1,1, + 100,95,105,109,112,111,114,116,114,220,0,0,0,32,32,32, 114,5,0,0,0,114,229,0,0,0,14,4,0,0,115,8, 0,0,0,12,9,8,1,12,1,10,1,114,17,0,0,0, 114,229,0,0,0,169,1,218,9,114,101,99,117,114,115,105, @@ -1686,8 +1686,8 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 227,0,0,0,41,8,114,110,0,0,0,218,8,102,114,111, 109,108,105,115,116,114,225,0,0,0,114,231,0,0,0,218, 1,120,90,5,119,104,101,114,101,90,9,102,114,111,109,95, - 110,97,109,101,90,3,101,120,99,1,1,1,1,1,1,1, - 1,114,5,0,0,0,114,234,0,0,0,29,4,0,0,115, + 110,97,109,101,90,3,101,120,99,32,32,32,32,32,32,32, + 32,114,5,0,0,0,114,234,0,0,0,29,4,0,0,115, 58,0,0,0,8,10,10,1,4,1,12,1,4,2,10,1, 8,1,8,255,8,2,14,1,10,1,2,1,6,255,2,128, 10,2,14,1,2,1,12,1,2,128,12,1,10,4,16,1, @@ -1731,7 +1731,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 0,0,114,143,0,0,0,114,101,0,0,0,114,102,0,0, 0,114,169,0,0,0,114,142,0,0,0,41,3,218,7,103, 108,111,98,97,108,115,114,209,0,0,0,114,109,0,0,0, - 1,1,1,114,5,0,0,0,218,17,95,99,97,108,99,95, + 32,32,32,114,5,0,0,0,218,17,95,99,97,108,99,95, 95,95,112,97,99,107,97,103,101,95,95,66,4,0,0,115, 42,0,0,0,10,7,10,1,8,1,18,1,6,1,2,1, 4,255,4,1,6,255,4,2,6,254,4,3,8,1,6,1, @@ -1787,7 +1787,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 239,0,0,0,218,6,108,111,99,97,108,115,114,235,0,0, 0,114,210,0,0,0,114,110,0,0,0,90,8,103,108,111, 98,97,108,115,95,114,209,0,0,0,90,7,99,117,116,95, - 111,102,102,1,1,1,1,1,1,1,1,1,114,5,0,0, + 111,102,102,32,32,32,32,32,32,32,32,32,114,5,0,0, 0,218,10,95,95,105,109,112,111,114,116,95,95,93,4,0, 0,115,30,0,0,0,8,11,10,1,16,2,8,1,12,1, 4,1,8,3,18,1,4,1,4,1,26,4,30,3,10,1, @@ -1799,7 +1799,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 78,122,25,110,111,32,98,117,105,108,116,45,105,110,32,109, 111,100,117,108,101,32,110,97,109,101,100,32,41,4,114,175, 0,0,0,114,183,0,0,0,114,88,0,0,0,114,173,0, - 0,0,41,2,114,20,0,0,0,114,109,0,0,0,1,1, + 0,0,41,2,114,20,0,0,0,114,109,0,0,0,32,32, 114,5,0,0,0,218,18,95,98,117,105,108,116,105,110,95, 102,114,111,109,95,110,97,109,101,130,4,0,0,115,8,0, 0,0,10,1,8,1,12,1,8,1,114,17,0,0,0,114, @@ -1843,8 +1843,8 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 114,110,0,0,0,114,122,0,0,0,114,109,0,0,0,90, 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, - 116,105,110,95,109,111,100,117,108,101,1,1,1,1,1,1, - 1,1,1,1,114,5,0,0,0,218,6,95,115,101,116,117, + 116,105,110,95,109,111,100,117,108,101,32,32,32,32,32,32, + 32,32,32,32,114,5,0,0,0,218,6,95,115,101,116,117, 112,137,4,0,0,115,40,0,0,0,4,9,4,1,8,3, 18,1,10,1,10,1,6,1,10,1,6,1,2,2,10,1, 10,1,2,128,10,3,8,1,10,1,10,1,10,2,14,1, @@ -1858,7 +1858,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 100,32,102,114,111,122,101,110,32,109,111,100,117,108,101,115, 78,41,6,114,248,0,0,0,114,18,0,0,0,114,214,0, 0,0,114,132,0,0,0,114,175,0,0,0,114,193,0,0, - 0,41,2,114,246,0,0,0,114,247,0,0,0,1,1,114, + 0,41,2,114,246,0,0,0,114,247,0,0,0,32,32,114, 5,0,0,0,218,8,95,105,110,115,116,97,108,108,172,4, 0,0,115,6,0,0,0,10,2,12,2,16,1,114,17,0, 0,0,114,249,0,0,0,99,0,0,0,0,0,0,0,0, @@ -1873,7 +1873,7 @@ const unsigned char _Py_M__importlib_bootstrap[] = { 105,109,112,111,114,116,108,105,98,95,101,120,116,101,114,110, 97,108,114,139,0,0,0,114,249,0,0,0,114,18,0,0, 0,114,105,0,0,0,114,8,0,0,0,41,1,114,250,0, - 0,0,1,114,5,0,0,0,218,27,95,105,110,115,116,97, + 0,0,32,114,5,0,0,0,218,27,95,105,110,115,116,97, 108,108,95,101,120,116,101,114,110,97,108,95,105,109,112,111, 114,116,101,114,115,180,4,0,0,115,6,0,0,0,8,3, 4,1,20,1,114,17,0,0,0,114,251,0,0,0,114,190, diff --git a/Python/importlib_external.h b/Python/importlib_external.h index e32feb06ac2daa..cf3fcb762db864 100644 --- a/Python/importlib_external.h +++ b/Python/importlib_external.h @@ -77,7 +77,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 0,115,28,0,0,0,129,0,124,0,93,9,125,1,116,0, 124,1,131,1,100,0,107,2,86,0,1,0,113,2,100,1, 83,0,41,2,233,1,0,0,0,78,41,1,218,3,108,101, - 110,41,2,218,2,46,48,218,3,115,101,112,1,1,250,38, + 110,41,2,218,2,46,48,218,3,115,101,112,32,32,250,38, 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, 101,114,110,97,108,62,218,9,60,103,101,110,101,120,112,114, @@ -86,7 +86,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 0,0,0,0,0,0,0,4,0,0,0,67,0,0,0,115, 22,0,0,0,104,0,124,0,93,7,125,1,100,0,124,1, 155,0,157,2,146,2,113,2,83,0,41,1,250,1,58,169, - 0,41,2,114,5,0,0,0,218,1,115,1,1,114,7,0, + 0,41,2,114,5,0,0,0,218,1,115,32,32,114,7,0, 0,0,218,9,60,115,101,116,99,111,109,112,62,50,0,0, 0,115,2,0,0,0,22,0,114,9,0,0,0,114,14,0, 0,0,41,1,218,3,119,105,110,41,2,90,6,99,121,103, @@ -129,7 +129,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 84,73,86,69,95,80,76,65,84,70,79,82,77,83,218,35, 95,67,65,83,69,95,73,78,83,69,78,83,73,84,73,86, 69,95,80,76,65,84,70,79,82,77,83,95,83,84,82,95, - 75,69,89,41,2,114,22,0,0,0,114,21,0,0,0,1, + 75,69,89,41,2,114,22,0,0,0,114,21,0,0,0,32, 64,114,7,0,0,0,218,16,95,109,97,107,101,95,114,101, 108,97,120,95,99,97,115,101,60,0,0,0,115,16,0,0, 0,12,1,12,1,6,1,4,2,12,2,4,7,8,253,4, @@ -142,7 +142,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 101,110,100,105,97,110,46,236,3,0,0,0,255,127,255,127, 3,0,233,4,0,0,0,218,6,108,105,116,116,108,101,78, 41,2,218,3,105,110,116,218,8,116,111,95,98,121,116,101, - 115,41,1,218,1,120,1,114,7,0,0,0,218,12,95,112, + 115,41,1,218,1,120,32,114,7,0,0,0,218,12,95,112, 97,99,107,95,117,105,110,116,51,50,79,0,0,0,114,23, 0,0,0,114,9,0,0,0,114,37,0,0,0,99,1,0, 0,0,0,0,0,0,0,0,0,0,4,0,0,0,67,0, @@ -154,7 +154,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 116,101,103,101,114,46,114,32,0,0,0,114,33,0,0,0, 78,169,3,114,4,0,0,0,114,34,0,0,0,218,10,102, 114,111,109,95,98,121,116,101,115,169,1,218,4,100,97,116, - 97,1,114,7,0,0,0,218,14,95,117,110,112,97,99,107, + 97,32,114,7,0,0,0,218,14,95,117,110,112,97,99,107, 95,117,105,110,116,51,50,84,0,0,0,243,4,0,0,0, 16,2,12,1,114,9,0,0,0,114,43,0,0,0,99,1, 0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,67, @@ -163,7 +163,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 105,116,116,108,101,45,101,110,100,105,97,110,32,116,111,32, 97,110,32,105,110,116,101,103,101,114,46,233,2,0,0,0, 114,33,0,0,0,78,114,39,0,0,0,114,41,0,0,0, - 1,114,7,0,0,0,218,14,95,117,110,112,97,99,107,95, + 32,114,7,0,0,0,218,14,95,117,110,112,97,99,107,95, 117,105,110,116,49,54,89,0,0,0,114,44,0,0,0,114, 9,0,0,0,114,46,0,0,0,99,0,0,0,0,0,0, 0,0,0,0,0,0,4,0,0,0,71,0,0,0,115,228, @@ -190,7 +190,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 124,1,114,2,124,1,160,0,116,1,161,1,145,2,113,2, 83,0,114,12,0,0,0,169,2,218,6,114,115,116,114,105, 112,218,15,112,97,116,104,95,115,101,112,97,114,97,116,111, - 114,115,41,2,114,5,0,0,0,218,1,112,1,1,114,7, + 114,115,41,2,114,5,0,0,0,218,1,112,32,32,114,7, 0,0,0,218,10,60,108,105,115,116,99,111,109,112,62,119, 0,0,0,115,2,0,0,0,26,0,114,9,0,0,0,250, 30,95,112,97,116,104,95,106,111,105,110,46,60,108,111,99, @@ -204,7 +204,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 6,97,112,112,101,110,100,218,4,106,111,105,110,41,5,218, 10,112,97,116,104,95,112,97,114,116,115,218,4,114,111,111, 116,218,4,112,97,116,104,90,8,110,101,119,95,114,111,111, - 116,218,4,116,97,105,108,1,1,1,1,1,114,7,0,0, + 116,218,4,116,97,105,108,32,32,32,32,32,114,7,0,0, 0,218,10,95,112,97,116,104,95,106,111,105,110,96,0,0, 0,115,42,0,0,0,4,2,4,1,12,1,8,1,4,1, 4,1,20,1,20,1,14,1,12,1,10,1,16,1,4,3, @@ -216,10 +216,10 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 1,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0, 83,0,0,0,114,48,0,0,0,114,12,0,0,0,114,49, 0,0,0,41,2,114,5,0,0,0,218,4,112,97,114,116, - 1,1,114,7,0,0,0,114,53,0,0,0,128,0,0,0, + 32,32,114,7,0,0,0,114,53,0,0,0,128,0,0,0, 115,6,0,0,0,6,0,6,1,14,255,114,9,0,0,0, 114,54,0,0,0,78,41,2,114,59,0,0,0,114,62,0, - 0,0,41,1,114,63,0,0,0,1,114,7,0,0,0,114, + 0,0,41,1,114,63,0,0,0,32,114,7,0,0,0,114, 67,0,0,0,126,0,0,0,115,6,0,0,0,10,2,2, 1,8,255,114,9,0,0,0,99,1,0,0,0,0,0,0, 0,0,0,0,0,4,0,0,0,3,0,0,0,115,66,0, @@ -234,14 +234,14 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 0,0,129,0,124,0,93,8,125,1,136,0,160,0,124,1, 161,1,86,0,1,0,113,2,100,0,83,0,169,1,78,41, 1,218,5,114,102,105,110,100,41,3,114,5,0,0,0,114, - 52,0,0,0,114,65,0,0,0,1,1,128,114,7,0,0, + 52,0,0,0,114,65,0,0,0,32,32,128,114,7,0,0, 0,114,8,0,0,0,134,0,0,0,115,4,0,0,0,6, 128,20,0,114,9,0,0,0,122,30,95,112,97,116,104,95, 115,112,108,105,116,46,60,108,111,99,97,108,115,62,46,60, 103,101,110,101,120,112,114,62,114,0,0,0,0,114,10,0, 0,0,78,114,3,0,0,0,41,2,218,3,109,97,120,114, 51,0,0,0,41,3,114,65,0,0,0,218,1,105,114,65, - 0,0,0,65,1,64,114,7,0,0,0,218,11,95,112,97, + 0,0,0,96,32,64,114,7,0,0,0,218,11,95,112,97, 116,104,95,115,112,108,105,116,132,0,0,0,115,8,0,0, 0,22,2,8,1,8,1,28,1,114,9,0,0,0,114,73, 0,0,0,99,1,0,0,0,0,0,0,0,0,0,0,0, @@ -255,7 +255,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 101,110,116,115,10,32,32,32,32,40,101,46,103,46,32,99, 97,99,104,101,32,115,116,97,116,32,114,101,115,117,108,116, 115,41,46,10,10,32,32,32,32,78,41,2,114,19,0,0, - 0,90,4,115,116,97,116,169,1,114,65,0,0,0,1,114, + 0,90,4,115,116,97,116,169,1,114,65,0,0,0,32,114, 7,0,0,0,218,10,95,112,97,116,104,95,115,116,97,116, 140,0,0,0,115,2,0,0,0,10,7,114,9,0,0,0, 114,75,0,0,0,99,2,0,0,0,0,0,0,0,0,0, @@ -269,8 +269,8 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 32,116,121,112,101,46,70,105,0,240,0,0,78,41,3,114, 75,0,0,0,218,7,79,83,69,114,114,111,114,218,7,115, 116,95,109,111,100,101,41,3,114,65,0,0,0,218,4,109, - 111,100,101,90,9,115,116,97,116,95,105,110,102,111,1,1, - 1,114,7,0,0,0,218,18,95,112,97,116,104,95,105,115, + 111,100,101,90,9,115,116,97,116,95,105,110,102,111,32,32, + 32,114,7,0,0,0,218,18,95,112,97,116,104,95,105,115, 95,109,111,100,101,95,116,121,112,101,150,0,0,0,115,16, 0,0,0,2,2,10,1,2,128,12,1,6,1,2,128,14, 1,2,254,115,12,0,0,0,129,4,6,0,134,7,16,7, @@ -280,7 +280,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 31,82,101,112,108,97,99,101,109,101,110,116,32,102,111,114, 32,111,115,46,112,97,116,104,46,105,115,102,105,108,101,46, 105,0,128,0,0,78,41,1,114,79,0,0,0,114,74,0, - 0,0,1,114,7,0,0,0,218,12,95,112,97,116,104,95, + 0,0,32,114,7,0,0,0,218,12,95,112,97,116,104,95, 105,115,102,105,108,101,159,0,0,0,243,2,0,0,0,10, 2,114,9,0,0,0,114,80,0,0,0,99,1,0,0,0, 0,0,0,0,0,0,0,0,3,0,0,0,67,0,0,0, @@ -289,7 +289,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 101,112,108,97,99,101,109,101,110,116,32,102,111,114,32,111, 115,46,112,97,116,104,46,105,115,100,105,114,46,105,0,64, 0,0,78,41,3,114,19,0,0,0,218,6,103,101,116,99, - 119,100,114,79,0,0,0,114,74,0,0,0,1,114,7,0, + 119,100,114,79,0,0,0,114,74,0,0,0,32,114,7,0, 0,0,218,11,95,112,97,116,104,95,105,115,100,105,114,164, 0,0,0,115,6,0,0,0,4,2,8,1,10,1,114,9, 0,0,0,114,83,0,0,0,99,1,0,0,0,0,0,0, @@ -304,14 +304,14 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 0,0,114,3,0,0,0,122,2,92,92,78,41,6,114,19, 0,0,0,114,56,0,0,0,218,7,114,101,112,108,97,99, 101,114,4,0,0,0,114,27,0,0,0,114,58,0,0,0, - 41,2,114,65,0,0,0,114,64,0,0,0,1,1,114,7, + 41,2,114,65,0,0,0,114,64,0,0,0,32,32,114,7, 0,0,0,218,11,95,112,97,116,104,95,105,115,97,98,115, 172,0,0,0,115,8,0,0,0,4,2,4,1,22,1,32, 1,114,9,0,0,0,114,86,0,0,0,99,1,0,0,0, 0,0,0,0,0,0,0,0,3,0,0,0,67,0,0,0, 115,10,0,0,0,124,0,160,0,116,1,161,1,83,0,41, 2,114,84,0,0,0,78,41,2,114,27,0,0,0,114,51, - 0,0,0,114,74,0,0,0,1,114,7,0,0,0,114,86, + 0,0,0,114,74,0,0,0,32,114,7,0,0,0,114,86, 0,0,0,180,0,0,0,114,81,0,0,0,114,9,0,0, 0,233,182,1,0,0,99,3,0,0,0,0,0,0,0,0, 0,0,0,11,0,0,0,67,0,0,0,115,178,0,0,0, @@ -345,7 +345,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 101,114,85,0,0,0,114,76,0,0,0,90,6,117,110,108, 105,110,107,41,6,114,65,0,0,0,114,42,0,0,0,114, 78,0,0,0,90,8,112,97,116,104,95,116,109,112,90,2, - 102,100,218,4,102,105,108,101,1,1,1,1,1,1,114,7, + 102,100,218,4,102,105,108,101,32,32,32,32,32,32,114,7, 0,0,0,218,13,95,119,114,105,116,101,95,97,116,111,109, 105,99,185,0,0,0,115,44,0,0,0,16,5,6,1,22, 1,4,255,2,2,14,3,10,1,12,255,22,128,16,2,2, @@ -467,8 +467,8 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 101,97,100,114,66,0,0,0,90,4,98,97,115,101,114,6, 0,0,0,218,4,114,101,115,116,90,3,116,97,103,90,15, 97,108,109,111,115,116,95,102,105,108,101,110,97,109,101,218, - 8,102,105,108,101,110,97,109,101,1,1,1,1,1,1,1, - 1,1,1,1,1,114,7,0,0,0,218,17,99,97,99,104, + 8,102,105,108,101,110,97,109,101,32,32,32,32,32,32,32, + 32,32,32,32,32,114,7,0,0,0,218,17,99,97,99,104, 101,95,102,114,111,109,95,115,111,117,114,99,101,128,1,0, 0,115,72,0,0,0,8,18,6,1,2,1,4,255,8,2, 4,1,8,1,12,1,10,1,12,1,16,1,8,1,8,1, @@ -548,8 +548,8 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 101,100,95,112,97,116,104,90,7,112,121,99,97,99,104,101, 90,9,100,111,116,95,99,111,117,110,116,114,96,0,0,0, 90,9,111,112,116,95,108,101,118,101,108,90,13,98,97,115, - 101,95,102,105,108,101,110,97,109,101,1,1,1,1,1,1, - 1,1,1,1,114,7,0,0,0,218,17,115,111,117,114,99, + 101,95,102,105,108,101,110,97,109,101,32,32,32,32,32,32, + 32,32,32,32,114,7,0,0,0,218,17,115,111,117,114,99, 101,95,102,114,111,109,95,99,97,99,104,101,199,1,0,0, 115,60,0,0,0,12,9,8,1,10,1,12,1,4,1,10, 1,12,1,14,1,16,1,4,1,4,1,12,1,8,1,8, @@ -584,7 +584,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 0,0,0,41,5,218,13,98,121,116,101,99,111,100,101,95, 112,97,116,104,114,119,0,0,0,218,1,95,90,9,101,120, 116,101,110,115,105,111,110,218,11,115,111,117,114,99,101,95, - 112,97,116,104,1,1,1,1,1,114,7,0,0,0,218,15, + 112,97,116,104,32,32,32,32,32,114,7,0,0,0,218,15, 95,103,101,116,95,115,111,117,114,99,101,102,105,108,101,239, 1,0,0,115,26,0,0,0,12,7,4,1,16,1,24,1, 4,1,2,1,10,1,2,128,16,1,16,1,2,128,16,1, @@ -598,7 +598,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 83,0,100,0,83,0,119,0,114,69,0,0,0,41,6,114, 58,0,0,0,218,5,116,117,112,108,101,114,127,0,0,0, 114,121,0,0,0,114,107,0,0,0,114,113,0,0,0,41, - 1,114,120,0,0,0,1,114,7,0,0,0,218,11,95,103, + 1,114,120,0,0,0,32,114,7,0,0,0,218,11,95,103, 101,116,95,99,97,99,104,101,100,2,2,0,0,115,22,0, 0,0,14,1,2,1,8,1,2,128,12,1,6,1,2,128, 14,1,4,1,4,2,2,251,115,12,0,0,0,136,3,12, @@ -613,7 +613,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 111,114,32,97,32,98,121,116,101,99,111,100,101,32,102,105, 108,101,46,114,87,0,0,0,233,128,0,0,0,78,41,3, 114,75,0,0,0,114,77,0,0,0,114,76,0,0,0,41, - 2,114,65,0,0,0,114,78,0,0,0,1,1,114,7,0, + 2,114,65,0,0,0,114,78,0,0,0,32,32,114,7,0, 0,0,218,10,95,99,97,108,99,95,109,111,100,101,14,2, 0,0,115,18,0,0,0,2,2,12,1,2,128,12,1,8, 1,2,128,8,3,4,1,2,251,115,12,0,0,0,129,5, @@ -651,7 +651,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 141,0,0,0,218,11,73,109,112,111,114,116,69,114,114,111, 114,41,5,218,4,115,101,108,102,114,141,0,0,0,218,4, 97,114,103,115,218,6,107,119,97,114,103,115,218,6,109,101, - 116,104,111,100,1,1,1,1,128,114,7,0,0,0,218,19, + 116,104,111,100,32,32,32,32,128,114,7,0,0,0,218,19, 95,99,104,101,99,107,95,110,97,109,101,95,119,114,97,112, 112,101,114,34,2,0,0,115,18,0,0,0,8,1,8,1, 10,1,4,1,12,1,2,255,2,1,6,255,24,2,114,9, @@ -670,14 +670,14 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 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, 41,3,90,3,110,101,119,90,3,111,108,100,114,85,0,0, - 0,1,1,1,114,7,0,0,0,218,5,95,119,114,97,112, + 0,32,32,32,114,7,0,0,0,218,5,95,119,114,97,112, 47,2,0,0,115,10,0,0,0,8,1,10,1,18,1,2, 128,18,1,114,9,0,0,0,122,26,95,99,104,101,99,107, 95,110,97,109,101,46,60,108,111,99,97,108,115,62,46,95, 119,114,97,112,114,69,0,0,0,41,2,218,10,95,98,111, 111,116,115,116,114,97,112,114,157,0,0,0,41,4,114,146, 0,0,0,114,147,0,0,0,114,157,0,0,0,114,146,0, - 0,0,65,1,1,64,114,7,0,0,0,218,11,95,99,104, + 0,0,96,32,32,64,114,7,0,0,0,218,11,95,99,104, 101,99,107,95,110,97,109,101,26,2,0,0,115,12,0,0, 0,14,8,8,10,8,1,8,2,10,6,4,1,114,9,0, 0,0,114,159,0,0,0,99,2,0,0,0,0,0,0,0, @@ -711,7 +711,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 218,13,73,109,112,111,114,116,87,97,114,110,105,110,103,41, 5,114,143,0,0,0,218,8,102,117,108,108,110,97,109,101, 218,6,108,111,97,100,101,114,218,8,112,111,114,116,105,111, - 110,115,218,3,109,115,103,1,1,1,1,1,114,7,0,0, + 110,115,218,3,109,115,103,32,32,32,32,32,114,7,0,0, 0,218,17,95,102,105,110,100,95,109,111,100,117,108,101,95, 115,104,105,109,57,2,0,0,115,16,0,0,0,6,7,2, 2,4,254,14,6,16,1,4,1,22,1,4,1,114,9,0, @@ -778,8 +778,8 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 0,114,4,0,0,0,218,8,69,79,70,69,114,114,111,114, 114,43,0,0,0,41,6,114,42,0,0,0,114,141,0,0, 0,218,11,101,120,99,95,100,101,116,97,105,108,115,90,5, - 109,97,103,105,99,114,117,0,0,0,114,17,0,0,0,1, - 1,1,1,1,1,114,7,0,0,0,218,13,95,99,108,97, + 109,97,103,105,99,114,117,0,0,0,114,17,0,0,0,32, + 32,32,32,32,32,114,7,0,0,0,218,13,95,99,108,97, 115,115,105,102,121,95,112,121,99,77,2,0,0,115,28,0, 0,0,12,16,8,1,16,1,12,1,16,1,12,1,10,1, 12,1,8,1,16,1,8,2,16,1,16,1,4,1,114,9, @@ -833,7 +833,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 142,0,0,0,41,6,114,42,0,0,0,218,12,115,111,117, 114,99,101,95,109,116,105,109,101,218,11,115,111,117,114,99, 101,95,115,105,122,101,114,141,0,0,0,114,174,0,0,0, - 114,117,0,0,0,1,1,1,1,1,1,114,7,0,0,0, + 114,117,0,0,0,32,32,32,32,32,32,114,7,0,0,0, 218,23,95,118,97,108,105,100,97,116,101,95,116,105,109,101, 115,116,97,109,112,95,112,121,99,110,2,0,0,115,18,0, 0,0,24,19,10,1,12,1,16,1,8,1,22,1,2,255, @@ -879,7 +879,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 32,109,97,116,99,104,32,104,97,115,104,32,111,102,32,115, 111,117,114,99,101,32,78,41,1,114,142,0,0,0,41,4, 114,42,0,0,0,218,11,115,111,117,114,99,101,95,104,97, - 115,104,114,141,0,0,0,114,174,0,0,0,1,1,1,1, + 115,104,114,141,0,0,0,114,174,0,0,0,32,32,32,32, 114,7,0,0,0,218,18,95,118,97,108,105,100,97,116,101, 95,104,97,115,104,95,112,121,99,138,2,0,0,115,14,0, 0,0,16,17,2,1,8,1,4,255,2,2,6,254,4,255, @@ -903,7 +903,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 95,102,105,120,95,99,111,95,102,105,108,101,110,97,109,101, 114,142,0,0,0,114,89,0,0,0,41,5,114,42,0,0, 0,114,141,0,0,0,114,132,0,0,0,114,134,0,0,0, - 218,4,99,111,100,101,1,1,1,1,1,114,7,0,0,0, + 218,4,99,111,100,101,32,32,32,32,32,114,7,0,0,0, 218,17,95,99,111,109,112,105,108,101,95,98,121,116,101,99, 111,100,101,162,2,0,0,115,18,0,0,0,10,2,10,1, 12,1,8,1,12,1,4,1,10,2,4,1,6,255,114,9, @@ -921,7 +921,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 6,101,120,116,101,110,100,114,37,0,0,0,114,183,0,0, 0,218,5,100,117,109,112,115,41,4,114,187,0,0,0,218, 5,109,116,105,109,101,114,178,0,0,0,114,42,0,0,0, - 1,1,1,1,114,7,0,0,0,218,22,95,99,111,100,101, + 32,32,32,32,114,7,0,0,0,218,22,95,99,111,100,101, 95,116,111,95,116,105,109,101,115,116,97,109,112,95,112,121, 99,175,2,0,0,115,12,0,0,0,8,2,14,1,14,1, 14,1,16,1,4,1,114,9,0,0,0,114,193,0,0,0, @@ -939,7 +939,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 0,114,37,0,0,0,114,4,0,0,0,114,183,0,0,0, 114,191,0,0,0,41,5,114,187,0,0,0,114,180,0,0, 0,90,7,99,104,101,99,107,101,100,114,42,0,0,0,114, - 17,0,0,0,1,1,1,1,1,114,7,0,0,0,218,17, + 17,0,0,0,32,32,32,32,32,114,7,0,0,0,218,17, 95,99,111,100,101,95,116,111,95,104,97,115,104,95,112,121, 99,185,2,0,0,115,14,0,0,0,8,2,12,1,14,1, 16,1,10,1,16,1,4,1,114,9,0,0,0,114,194,0, @@ -966,8 +966,8 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 95,98,121,116,101,115,114,195,0,0,0,90,21,115,111,117, 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, - 119,108,105,110,101,95,100,101,99,111,100,101,114,1,1,1, - 1,1,114,7,0,0,0,218,13,100,101,99,111,100,101,95, + 119,108,105,110,101,95,100,101,99,111,100,101,114,32,32,32, + 32,32,114,7,0,0,0,218,13,100,101,99,111,100,101,95, 115,111,117,114,99,101,196,2,0,0,115,10,0,0,0,8, 5,12,1,10,1,12,1,20,1,114,9,0,0,0,114,199, 0,0,0,169,2,114,163,0,0,0,218,26,115,117,98,109, @@ -1031,7 +1031,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 110,114,163,0,0,0,114,201,0,0,0,218,4,115,112,101, 99,218,12,108,111,97,100,101,114,95,99,108,97,115,115,218, 8,115,117,102,102,105,120,101,115,114,205,0,0,0,90,7, - 100,105,114,110,97,109,101,1,1,1,1,1,1,1,1,1, + 100,105,114,110,97,109,101,32,32,32,32,32,32,32,32,32, 114,7,0,0,0,218,23,115,112,101,99,95,102,114,111,109, 95,102,105,108,101,95,108,111,99,97,116,105,111,110,213,2, 0,0,115,96,0,0,0,8,12,4,4,10,1,2,2,12, @@ -1074,7 +1074,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 112,101,110,75,101,121,90,17,72,75,69,89,95,67,85,82, 82,69,78,84,95,85,83,69,82,114,76,0,0,0,90,18, 72,75,69,89,95,76,79,67,65,76,95,77,65,67,72,73, - 78,69,114,20,0,0,0,1,114,7,0,0,0,218,14,95, + 78,69,114,20,0,0,0,32,114,7,0,0,0,218,14,95, 111,112,101,110,95,114,101,103,105,115,116,114,121,42,3,0, 0,115,14,0,0,0,2,2,14,1,2,128,12,1,18,1, 2,128,2,255,115,12,0,0,0,129,6,8,0,136,14,24, @@ -1102,7 +1102,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 97,108,117,101,114,76,0,0,0,41,6,218,3,99,108,115, 114,162,0,0,0,90,12,114,101,103,105,115,116,114,121,95, 107,101,121,114,21,0,0,0,90,4,104,107,101,121,218,8, - 102,105,108,101,112,97,116,104,1,1,1,1,1,1,114,7, + 102,105,108,101,112,97,116,104,32,32,32,32,32,32,114,7, 0,0,0,218,16,95,115,101,97,114,99,104,95,114,101,103, 105,115,116,114,121,49,3,0,0,115,34,0,0,0,6,2, 8,1,6,2,6,1,16,1,6,255,2,2,12,1,12,1, @@ -1128,7 +1128,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 109,95,108,111,97,100,101,114,41,8,114,220,0,0,0,114, 162,0,0,0,114,65,0,0,0,218,6,116,97,114,103,101, 116,114,221,0,0,0,114,163,0,0,0,114,211,0,0,0, - 114,209,0,0,0,1,1,1,1,1,1,1,1,114,7,0, + 114,209,0,0,0,32,32,32,32,32,32,32,32,114,7,0, 0,0,218,9,102,105,110,100,95,115,112,101,99,64,3,0, 0,115,38,0,0,0,10,2,8,1,4,1,2,1,10,1, 2,128,12,1,6,1,2,128,14,1,14,1,6,1,8,1, @@ -1157,7 +1157,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 97,100,78,169,5,114,99,0,0,0,114,100,0,0,0,114, 101,0,0,0,114,225,0,0,0,114,163,0,0,0,169,4, 114,220,0,0,0,114,162,0,0,0,114,65,0,0,0,114, - 209,0,0,0,1,1,1,1,114,7,0,0,0,218,11,102, + 209,0,0,0,32,32,32,32,114,7,0,0,0,218,11,102, 105,110,100,95,109,111,100,117,108,101,80,3,0,0,115,14, 0,0,0,6,7,2,2,4,254,12,3,8,1,6,1,4, 2,114,9,0,0,0,122,33,87,105,110,100,111,119,115,82, @@ -1206,7 +1206,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 0,0,114,104,0,0,0,41,5,114,143,0,0,0,114,162, 0,0,0,114,120,0,0,0,90,13,102,105,108,101,110,97, 109,101,95,98,97,115,101,90,9,116,97,105,108,95,110,97, - 109,101,1,1,1,1,1,114,7,0,0,0,114,205,0,0, + 109,101,32,32,32,32,32,114,7,0,0,0,114,205,0,0, 0,102,3,0,0,115,8,0,0,0,18,3,16,1,14,1, 16,1,114,9,0,0,0,122,24,95,76,111,97,100,101,114, 66,97,115,105,99,115,46,105,115,95,112,97,99,107,97,103, @@ -1215,7 +1215,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 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, 99,114,101,97,116,105,111,110,46,78,114,12,0,0,0,169, - 2,114,143,0,0,0,114,209,0,0,0,1,1,114,7,0, + 2,114,143,0,0,0,114,209,0,0,0,32,32,114,7,0, 0,0,218,13,99,114,101,97,116,101,95,109,111,100,117,108, 101,110,3,0,0,243,2,0,0,0,4,0,114,9,0,0, 0,122,27,95,76,111,97,100,101,114,66,97,115,105,99,115, @@ -1235,7 +1235,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 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, 155,0,0,0,41,3,114,143,0,0,0,218,6,109,111,100, - 117,108,101,114,187,0,0,0,1,1,1,114,7,0,0,0, + 117,108,101,114,187,0,0,0,32,32,32,114,7,0,0,0, 218,11,101,120,101,99,95,109,111,100,117,108,101,113,3,0, 0,115,12,0,0,0,12,2,8,1,4,1,8,1,4,255, 20,2,114,9,0,0,0,122,25,95,76,111,97,100,101,114, @@ -1246,7 +1246,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 32,109,101,116,104,111,100,32,105,115,32,100,101,112,114,101, 99,97,116,101,100,46,78,41,2,114,158,0,0,0,218,17, 95,108,111,97,100,95,109,111,100,117,108,101,95,115,104,105, - 109,169,2,114,143,0,0,0,114,162,0,0,0,1,1,114, + 109,169,2,114,143,0,0,0,114,162,0,0,0,32,32,114, 7,0,0,0,218,11,108,111,97,100,95,109,111,100,117,108, 101,121,3,0,0,115,2,0,0,0,12,3,114,9,0,0, 0,122,25,95,76,111,97,100,101,114,66,97,115,105,99,115, @@ -1277,7 +1277,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 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, 78,41,1,114,76,0,0,0,169,2,114,143,0,0,0,114, - 65,0,0,0,1,1,114,7,0,0,0,218,10,112,97,116, + 65,0,0,0,32,32,114,7,0,0,0,218,10,112,97,116, 104,95,109,116,105,109,101,129,3,0,0,115,2,0,0,0, 4,6,114,9,0,0,0,122,23,83,111,117,114,99,101,76, 111,97,100,101,114,46,112,97,116,104,95,109,116,105,109,101, @@ -1310,8 +1310,8 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 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, 108,101,100,46,10,32,32,32,32,32,32,32,32,114,192,0, - 0,0,78,41,1,114,250,0,0,0,114,249,0,0,0,1, - 1,114,7,0,0,0,218,10,112,97,116,104,95,115,116,97, + 0,0,78,41,1,114,250,0,0,0,114,249,0,0,0,32, + 32,114,7,0,0,0,218,10,112,97,116,104,95,115,116,97, 116,115,137,3,0,0,115,2,0,0,0,14,12,114,9,0, 0,0,122,23,83,111,117,114,99,101,76,111,97,100,101,114, 46,112,97,116,104,95,115,116,97,116,115,99,4,0,0,0, @@ -1334,7 +1334,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 10,32,32,32,32,32,32,32,32,78,41,1,218,8,115,101, 116,95,100,97,116,97,41,4,114,143,0,0,0,114,134,0, 0,0,90,10,99,97,99,104,101,95,112,97,116,104,114,42, - 0,0,0,1,1,1,1,114,7,0,0,0,218,15,95,99, + 0,0,0,32,32,32,32,114,7,0,0,0,218,15,95,99, 97,99,104,101,95,98,121,116,101,99,111,100,101,151,3,0, 0,115,2,0,0,0,12,8,114,9,0,0,0,122,28,83, 111,117,114,99,101,76,111,97,100,101,114,46,95,99,97,99, @@ -1351,7 +1351,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 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, 114,12,0,0,0,41,3,114,143,0,0,0,114,65,0,0, - 0,114,42,0,0,0,1,1,1,114,7,0,0,0,114,252, + 0,114,42,0,0,0,32,32,32,114,7,0,0,0,114,252, 0,0,0,161,3,0,0,114,239,0,0,0,114,9,0,0, 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, @@ -1370,7 +1370,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 5,114,202,0,0,0,218,8,103,101,116,95,100,97,116,97, 114,76,0,0,0,114,142,0,0,0,114,199,0,0,0,41, 5,114,143,0,0,0,114,162,0,0,0,114,65,0,0,0, - 114,197,0,0,0,218,3,101,120,99,1,1,1,1,1,114, + 114,197,0,0,0,218,3,101,120,99,32,32,32,32,32,114, 7,0,0,0,218,10,103,101,116,95,115,111,117,114,99,101, 168,3,0,0,115,26,0,0,0,10,2,2,1,10,1,8, 4,2,128,12,253,4,1,2,1,4,255,2,1,2,255,10, @@ -1394,7 +1394,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 114,105,116,114,108,0,0,0,78,41,3,114,158,0,0,0, 114,241,0,0,0,218,7,99,111,109,112,105,108,101,41,4, 114,143,0,0,0,114,42,0,0,0,114,65,0,0,0,114, - 1,1,0,0,1,1,1,1,114,7,0,0,0,218,14,115, + 1,1,0,0,32,32,32,32,114,7,0,0,0,218,14,115, 111,117,114,99,101,95,116,111,95,99,111,100,101,178,3,0, 0,115,6,0,0,0,12,5,4,1,6,255,114,9,0,0, 0,122,27,83,111,117,114,99,101,76,111,97,100,101,114,46, @@ -1471,8 +1471,8 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 104,101,99,107,95,115,111,117,114,99,101,114,132,0,0,0, 218,2,115,116,114,42,0,0,0,114,174,0,0,0,114,17, 0,0,0,90,10,98,121,116,101,115,95,100,97,116,97,90, - 11,99,111,100,101,95,111,98,106,101,99,116,1,1,1,1, - 1,1,1,1,1,1,1,1,1,1,1,114,7,0,0,0, + 11,99,111,100,101,95,111,98,106,101,99,116,32,32,32,32, + 32,32,32,32,32,32,32,32,32,32,32,114,7,0,0,0, 114,240,0,0,0,186,3,0,0,115,188,0,0,0,10,7, 4,1,4,1,4,1,4,1,4,1,2,1,10,1,2,128, 14,1,8,1,2,128,2,2,12,1,2,128,14,1,4,1, @@ -1522,7 +1522,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 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, 101,114,46,78,114,182,0,0,0,41,3,114,143,0,0,0, - 114,162,0,0,0,114,65,0,0,0,1,1,1,114,7,0, + 114,162,0,0,0,114,65,0,0,0,32,32,32,114,7,0, 0,0,114,235,0,0,0,20,4,0,0,115,4,0,0,0, 6,3,10,1,114,9,0,0,0,122,19,70,105,108,101,76, 111,97,100,101,114,46,95,95,105,110,105,116,95,95,99,2, @@ -1531,7 +1531,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 107,2,111,11,124,0,106,1,124,1,106,1,107,2,83,0, 114,69,0,0,0,169,2,218,9,95,95,99,108,97,115,115, 95,95,114,155,0,0,0,169,2,114,143,0,0,0,90,5, - 111,116,104,101,114,1,1,114,7,0,0,0,218,6,95,95, + 111,116,104,101,114,32,32,114,7,0,0,0,218,6,95,95, 101,113,95,95,26,4,0,0,243,6,0,0,0,12,1,10, 1,2,255,114,9,0,0,0,122,17,70,105,108,101,76,111, 97,100,101,114,46,95,95,101,113,95,95,99,1,0,0,0, @@ -1539,7 +1539,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 243,20,0,0,0,116,0,124,0,106,1,131,1,116,0,124, 0,106,2,131,1,65,0,83,0,114,69,0,0,0,169,3, 218,4,104,97,115,104,114,141,0,0,0,114,65,0,0,0, - 169,1,114,143,0,0,0,1,114,7,0,0,0,218,8,95, + 169,1,114,143,0,0,0,32,114,7,0,0,0,218,8,95, 95,104,97,115,104,95,95,30,4,0,0,243,2,0,0,0, 20,1,114,9,0,0,0,122,19,70,105,108,101,76,111,97, 100,101,114,46,95,95,104,97,115,104,95,95,99,2,0,0, @@ -1554,7 +1554,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 101,97,100,46,10,10,32,32,32,32,32,32,32,32,78,41, 3,218,5,115,117,112,101,114,114,10,1,0,0,114,247,0, 0,0,41,3,114,143,0,0,0,114,162,0,0,0,114,13, - 1,0,0,1,1,128,114,7,0,0,0,114,247,0,0,0, + 1,0,0,32,32,128,114,7,0,0,0,114,247,0,0,0, 33,4,0,0,115,2,0,0,0,16,10,114,9,0,0,0, 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, @@ -1564,7 +1564,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 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, 105,110,100,101,114,46,78,114,74,0,0,0,114,246,0,0, - 0,1,1,114,7,0,0,0,114,202,0,0,0,45,4,0, + 0,32,32,114,7,0,0,0,114,202,0,0,0,45,4,0, 0,243,2,0,0,0,6,3,114,9,0,0,0,122,23,70, 105,108,101,76,111,97,100,101,114,46,103,101,116,95,102,105, 108,101,110,97,109,101,99,2,0,0,0,0,0,0,0,0, @@ -1585,7 +1585,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 108,101,76,111,97,100,101,114,114,91,0,0,0,90,9,111, 112,101,110,95,99,111,100,101,114,109,0,0,0,90,4,114, 101,97,100,114,92,0,0,0,41,3,114,143,0,0,0,114, - 65,0,0,0,114,94,0,0,0,1,1,1,114,7,0,0, + 65,0,0,0,114,94,0,0,0,32,32,32,114,7,0,0, 0,114,254,0,0,0,50,4,0,0,115,22,0,0,0,14, 2,16,1,6,1,14,255,22,128,4,0,14,3,6,1,14, 255,22,128,4,0,115,24,0,0,0,142,4,25,3,153,4, @@ -1598,7 +1598,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 10,70,105,108,101,82,101,97,100,101,114,41,2,218,17,105, 109,112,111,114,116,108,105,98,46,114,101,97,100,101,114,115, 114,29,1,0,0,41,3,114,143,0,0,0,114,243,0,0, - 0,114,29,1,0,0,1,1,1,114,7,0,0,0,218,19, + 0,114,29,1,0,0,32,32,32,114,7,0,0,0,218,19, 103,101,116,95,114,101,115,111,117,114,99,101,95,114,101,97, 100,101,114,59,4,0,0,115,4,0,0,0,12,2,8,1, 114,9,0,0,0,122,30,70,105,108,101,76,111,97,100,101, @@ -1630,7 +1630,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 41,2,114,192,0,0,0,114,5,1,0,0,78,41,3,114, 75,0,0,0,218,8,115,116,95,109,116,105,109,101,90,7, 115,116,95,115,105,122,101,41,3,114,143,0,0,0,114,65, - 0,0,0,114,9,1,0,0,1,1,1,114,7,0,0,0, + 0,0,0,114,9,1,0,0,32,32,32,114,7,0,0,0, 114,251,0,0,0,69,4,0,0,115,4,0,0,0,8,2, 14,1,114,9,0,0,0,122,27,83,111,117,114,99,101,70, 105,108,101,76,111,97,100,101,114,46,112,97,116,104,95,115, @@ -1640,7 +1640,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 100,1,166,3,83,0,41,2,78,169,1,218,5,95,109,111, 100,101,41,2,114,139,0,0,0,114,252,0,0,0,41,5, 114,143,0,0,0,114,134,0,0,0,114,132,0,0,0,114, - 42,0,0,0,114,78,0,0,0,1,1,1,1,1,114,7, + 42,0,0,0,114,78,0,0,0,32,32,32,32,32,114,7, 0,0,0,114,253,0,0,0,74,4,0,0,115,4,0,0, 0,8,2,16,1,114,9,0,0,0,122,32,83,111,117,114, 99,101,70,105,108,101,76,111,97,100,101,114,46,95,99,97, @@ -1675,8 +1675,8 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 0,114,95,0,0,0,41,9,114,143,0,0,0,114,65,0, 0,0,114,42,0,0,0,114,35,1,0,0,218,6,112,97, 114,101,110,116,114,120,0,0,0,114,63,0,0,0,114,68, - 0,0,0,114,255,0,0,0,1,1,1,1,1,1,1,1, - 1,114,7,0,0,0,114,252,0,0,0,79,4,0,0,115, + 0,0,0,114,255,0,0,0,32,32,32,32,32,32,32,32, + 32,114,7,0,0,0,114,252,0,0,0,79,4,0,0,115, 60,0,0,0,12,2,4,1,12,2,12,1,10,1,12,254, 12,4,10,1,2,1,12,1,2,128,12,1,4,2,12,1, 6,3,4,1,4,255,14,2,10,128,2,1,12,1,16,1, @@ -1710,8 +1710,8 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 0,0,0,114,132,0,0,0,41,5,114,202,0,0,0,114, 254,0,0,0,114,175,0,0,0,114,188,0,0,0,114,6, 1,0,0,41,5,114,143,0,0,0,114,162,0,0,0,114, - 65,0,0,0,114,42,0,0,0,114,174,0,0,0,1,1, - 1,1,1,114,7,0,0,0,114,240,0,0,0,114,4,0, + 65,0,0,0,114,42,0,0,0,114,174,0,0,0,32,32, + 32,32,32,114,7,0,0,0,114,240,0,0,0,114,4,0, 0,115,22,0,0,0,10,1,10,1,2,4,2,1,6,254, 12,4,2,1,14,1,2,1,2,1,6,253,114,9,0,0, 0,122,29,83,111,117,114,99,101,108,101,115,115,70,105,108, @@ -1721,7 +1721,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 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, 99,111,100,101,46,78,114,12,0,0,0,114,246,0,0,0, - 1,1,114,7,0,0,0,114,0,1,0,0,130,4,0,0, + 32,32,114,7,0,0,0,114,0,1,0,0,130,4,0,0, 114,25,0,0,0,114,9,0,0,0,122,31,83,111,117,114, 99,101,108,101,115,115,70,105,108,101,76,111,97,100,101,114, 46,103,101,116,95,115,111,117,114,99,101,78,41,6,114,149, @@ -1747,19 +1747,19 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 0,0,0,67,0,0,0,115,16,0,0,0,124,1,124,0, 95,0,124,2,124,0,95,1,100,0,83,0,114,69,0,0, 0,114,182,0,0,0,41,3,114,143,0,0,0,114,141,0, - 0,0,114,65,0,0,0,1,1,1,114,7,0,0,0,114, + 0,0,114,65,0,0,0,32,32,32,114,7,0,0,0,114, 235,0,0,0,143,4,0,0,115,4,0,0,0,6,1,10, 1,114,9,0,0,0,122,28,69,120,116,101,110,115,105,111, 110,70,105,108,101,76,111,97,100,101,114,46,95,95,105,110, 105,116,95,95,99,2,0,0,0,0,0,0,0,0,0,0, 0,2,0,0,0,67,0,0,0,114,11,1,0,0,114,69, - 0,0,0,114,12,1,0,0,114,14,1,0,0,1,1,114, + 0,0,0,114,12,1,0,0,114,14,1,0,0,32,32,114, 7,0,0,0,114,15,1,0,0,147,4,0,0,114,16,1, 0,0,114,9,0,0,0,122,26,69,120,116,101,110,115,105, 111,110,70,105,108,101,76,111,97,100,101,114,46,95,95,101, 113,95,95,99,1,0,0,0,0,0,0,0,0,0,0,0, 3,0,0,0,67,0,0,0,114,17,1,0,0,114,69,0, - 0,0,114,18,1,0,0,114,20,1,0,0,1,114,7,0, + 0,0,114,18,1,0,0,114,20,1,0,0,32,114,7,0, 0,0,114,21,1,0,0,151,4,0,0,114,22,1,0,0, 114,9,0,0,0,122,28,69,120,116,101,110,115,105,111,110, 70,105,108,101,76,111,97,100,101,114,46,95,95,104,97,115, @@ -1776,7 +1776,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 114,186,0,0,0,90,14,99,114,101,97,116,101,95,100,121, 110,97,109,105,99,114,172,0,0,0,114,141,0,0,0,114, 65,0,0,0,41,3,114,143,0,0,0,114,209,0,0,0, - 114,243,0,0,0,1,1,1,114,7,0,0,0,114,238,0, + 114,243,0,0,0,32,32,32,114,7,0,0,0,114,238,0, 0,0,154,4,0,0,115,14,0,0,0,4,2,6,1,4, 255,6,2,8,1,4,255,4,2,114,9,0,0,0,122,33, 69,120,116,101,110,115,105,111,110,70,105,108,101,76,111,97, @@ -1793,7 +1793,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 0,0,0,114,241,0,0,0,114,186,0,0,0,90,12,101, 120,101,99,95,100,121,110,97,109,105,99,114,172,0,0,0, 114,141,0,0,0,114,65,0,0,0,169,2,114,143,0,0, - 0,114,243,0,0,0,1,1,114,7,0,0,0,114,244,0, + 0,114,243,0,0,0,32,32,114,7,0,0,0,114,244,0, 0,0,162,4,0,0,115,8,0,0,0,14,2,6,1,8, 1,8,255,114,9,0,0,0,122,31,69,120,116,101,110,115, 105,111,110,70,105,108,101,76,111,97,100,101,114,46,101,120, @@ -1810,7 +1810,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 9,125,1,136,0,100,0,124,1,23,0,107,2,86,0,1, 0,113,2,100,1,83,0,41,2,114,235,0,0,0,78,114, 12,0,0,0,41,3,114,5,0,0,0,218,6,115,117,102, - 102,105,120,218,9,102,105,108,101,95,110,97,109,101,1,1, + 102,105,120,218,9,102,105,108,101,95,110,97,109,101,32,32, 128,114,7,0,0,0,114,8,0,0,0,171,4,0,0,115, 6,0,0,0,6,128,2,1,20,255,114,9,0,0,0,122, 49,69,120,116,101,110,115,105,111,110,70,105,108,101,76,111, @@ -1818,7 +1818,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 60,108,111,99,97,108,115,62,46,60,103,101,110,101,120,112, 114,62,78,41,4,114,73,0,0,0,114,65,0,0,0,218, 3,97,110,121,114,231,0,0,0,41,3,114,143,0,0,0, - 114,162,0,0,0,114,42,1,0,0,1,1,64,114,7,0, + 114,162,0,0,0,114,42,1,0,0,32,32,64,114,7,0, 0,0,114,205,0,0,0,168,4,0,0,115,8,0,0,0, 14,2,12,1,2,1,8,255,114,9,0,0,0,122,30,69, 120,116,101,110,115,105,111,110,70,105,108,101,76,111,97,100, @@ -1829,7 +1829,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 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, 100,101,32,111,98,106,101,99,116,46,78,114,12,0,0,0, - 114,246,0,0,0,1,1,114,7,0,0,0,114,240,0,0, + 114,246,0,0,0,32,32,114,7,0,0,0,114,240,0,0, 0,174,4,0,0,114,25,0,0,0,114,9,0,0,0,122, 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, @@ -1838,13 +1838,13 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 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, - 78,114,12,0,0,0,114,246,0,0,0,1,1,114,7,0, + 78,114,12,0,0,0,114,246,0,0,0,32,32,114,7,0, 0,0,114,0,1,0,0,178,4,0,0,114,25,0,0,0, 114,9,0,0,0,122,30,69,120,116,101,110,115,105,111,110, 70,105,108,101,76,111,97,100,101,114,46,103,101,116,95,115, 111,117,114,99,101,99,2,0,0,0,0,0,0,0,0,0, 0,0,1,0,0,0,67,0,0,0,114,24,1,0,0,114, - 25,1,0,0,114,74,0,0,0,114,246,0,0,0,1,1, + 25,1,0,0,114,74,0,0,0,114,246,0,0,0,32,32, 114,7,0,0,0,114,202,0,0,0,182,4,0,0,114,26, 1,0,0,114,9,0,0,0,122,32,69,120,116,101,110,115, 105,111,110,70,105,108,101,76,111,97,100,101,114,46,103,101, @@ -1895,7 +1895,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 114,101,110,116,95,112,97,116,104,218,12,95,112,97,116,104, 95,102,105,110,100,101,114,169,4,114,143,0,0,0,114,141, 0,0,0,114,65,0,0,0,90,11,112,97,116,104,95,102, - 105,110,100,101,114,1,1,1,1,114,7,0,0,0,114,235, + 105,110,100,101,114,32,32,32,32,114,7,0,0,0,114,235, 0,0,0,195,4,0,0,115,8,0,0,0,6,1,6,1, 14,1,10,1,114,9,0,0,0,122,23,95,78,97,109,101, 115,112,97,99,101,80,97,116,104,46,95,95,105,110,105,116, @@ -1911,7 +1911,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 114,16,0,0,0,114,65,0,0,0,90,8,95,95,112,97, 116,104,95,95,78,41,2,114,45,1,0,0,114,104,0,0, 0,41,4,114,143,0,0,0,114,38,1,0,0,218,3,100, - 111,116,90,2,109,101,1,1,1,1,114,7,0,0,0,218, + 111,116,90,2,109,101,32,32,32,32,114,7,0,0,0,218, 23,95,102,105,110,100,95,112,97,114,101,110,116,95,112,97, 116,104,95,110,97,109,101,115,201,4,0,0,115,8,0,0, 0,18,2,8,1,4,2,8,3,114,9,0,0,0,122,38, @@ -1925,7 +1925,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 0,0,218,7,109,111,100,117,108,101,115,41,3,114,143,0, 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, - 114,95,110,97,109,101,1,1,1,114,7,0,0,0,114,47, + 114,95,110,97,109,101,32,32,32,114,7,0,0,0,114,47, 1,0,0,211,4,0,0,115,4,0,0,0,12,1,16,1, 114,9,0,0,0,122,31,95,78,97,109,101,115,112,97,99, 101,80,97,116,104,46,95,103,101,116,95,112,97,114,101,110, @@ -1940,7 +1940,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 0,114,48,1,0,0,114,49,1,0,0,114,45,1,0,0, 114,163,0,0,0,114,201,0,0,0,114,46,1,0,0,41, 3,114,143,0,0,0,90,11,112,97,114,101,110,116,95,112, - 97,116,104,114,209,0,0,0,1,1,1,114,7,0,0,0, + 97,116,104,114,209,0,0,0,32,32,32,114,7,0,0,0, 218,12,95,114,101,99,97,108,99,117,108,97,116,101,215,4, 0,0,115,16,0,0,0,12,2,10,1,14,1,18,3,6, 1,8,1,6,1,6,1,114,9,0,0,0,122,27,95,78, @@ -1949,15 +1949,15 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 0,0,0,0,0,0,3,0,0,0,67,0,0,0,243,12, 0,0,0,116,0,124,0,160,1,161,0,131,1,83,0,114, 69,0,0,0,41,2,218,4,105,116,101,114,114,54,1,0, - 0,114,20,1,0,0,1,114,7,0,0,0,218,8,95,95, + 0,114,20,1,0,0,32,114,7,0,0,0,218,8,95,95, 105,116,101,114,95,95,228,4,0,0,243,2,0,0,0,12, 1,114,9,0,0,0,122,23,95,78,97,109,101,115,112,97, 99,101,80,97,116,104,46,95,95,105,116,101,114,95,95,99, 2,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0, 67,0,0,0,115,12,0,0,0,124,0,160,0,161,0,124, 1,25,0,83,0,114,69,0,0,0,169,1,114,54,1,0, - 0,41,2,114,143,0,0,0,218,5,105,110,100,101,120,1, - 1,114,7,0,0,0,218,11,95,95,103,101,116,105,116,101, + 0,41,2,114,143,0,0,0,218,5,105,110,100,101,120,32, + 32,114,7,0,0,0,218,11,95,95,103,101,116,105,116,101, 109,95,95,231,4,0,0,114,58,1,0,0,114,9,0,0, 0,122,26,95,78,97,109,101,115,112,97,99,101,80,97,116, 104,46,95,95,103,101,116,105,116,101,109,95,95,99,3,0, @@ -1965,14 +1965,14 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 0,0,115,14,0,0,0,124,2,124,0,106,0,124,1,60, 0,100,0,83,0,114,69,0,0,0,41,1,114,46,1,0, 0,41,3,114,143,0,0,0,114,60,1,0,0,114,65,0, - 0,0,1,1,1,114,7,0,0,0,218,11,95,95,115,101, + 0,0,32,32,32,114,7,0,0,0,218,11,95,95,115,101, 116,105,116,101,109,95,95,234,4,0,0,115,2,0,0,0, 14,1,114,9,0,0,0,122,26,95,78,97,109,101,115,112, 97,99,101,80,97,116,104,46,95,95,115,101,116,105,116,101, 109,95,95,99,1,0,0,0,0,0,0,0,0,0,0,0, 3,0,0,0,67,0,0,0,114,55,1,0,0,114,69,0, 0,0,41,2,114,4,0,0,0,114,54,1,0,0,114,20, - 1,0,0,1,114,7,0,0,0,218,7,95,95,108,101,110, + 1,0,0,32,114,7,0,0,0,218,7,95,95,108,101,110, 95,95,237,4,0,0,114,58,1,0,0,114,9,0,0,0, 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, @@ -1980,14 +1980,14 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 0,0,100,1,160,0,124,0,106,1,161,1,83,0,41,2, 78,122,20,95,78,97,109,101,115,112,97,99,101,80,97,116, 104,40,123,33,114,125,41,41,2,114,89,0,0,0,114,46, - 1,0,0,114,20,1,0,0,1,114,7,0,0,0,218,8, + 1,0,0,114,20,1,0,0,32,114,7,0,0,0,218,8, 95,95,114,101,112,114,95,95,240,4,0,0,114,58,1,0, 0,114,9,0,0,0,122,23,95,78,97,109,101,115,112,97, 99,101,80,97,116,104,46,95,95,114,101,112,114,95,95,99, 2,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0, 67,0,0,0,115,12,0,0,0,124,1,124,0,160,0,161, 0,118,0,83,0,114,69,0,0,0,114,59,1,0,0,169, - 2,114,143,0,0,0,218,4,105,116,101,109,1,1,114,7, + 2,114,143,0,0,0,218,4,105,116,101,109,32,32,114,7, 0,0,0,218,12,95,95,99,111,110,116,97,105,110,115,95, 95,243,4,0,0,114,58,1,0,0,114,9,0,0,0,122, 27,95,78,97,109,101,115,112,97,99,101,80,97,116,104,46, @@ -1995,7 +1995,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 0,0,0,0,0,0,0,0,0,3,0,0,0,67,0,0, 0,115,16,0,0,0,124,0,106,0,160,1,124,1,161,1, 1,0,100,0,83,0,114,69,0,0,0,41,2,114,46,1, - 0,0,114,61,0,0,0,114,66,1,0,0,1,1,114,7, + 0,0,114,61,0,0,0,114,66,1,0,0,32,32,114,7, 0,0,0,114,61,0,0,0,246,4,0,0,243,2,0,0, 0,16,1,114,9,0,0,0,122,21,95,78,97,109,101,115, 112,97,99,101,80,97,116,104,46,97,112,112,101,110,100,78, @@ -2020,7 +2020,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 67,0,0,0,115,18,0,0,0,116,0,124,1,124,2,124, 3,131,3,124,0,95,1,100,0,83,0,114,69,0,0,0, 41,2,114,44,1,0,0,114,46,1,0,0,114,50,1,0, - 0,1,1,1,1,114,7,0,0,0,114,235,0,0,0,252, + 0,32,32,32,32,114,7,0,0,0,114,235,0,0,0,252, 4,0,0,115,2,0,0,0,18,1,114,9,0,0,0,122, 25,95,78,97,109,101,115,112,97,99,101,76,111,97,100,101, 114,46,95,95,105,110,105,116,95,95,99,1,0,0,0,0, @@ -2043,20 +2043,20 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 32,123,33,114,125,32,40,110,97,109,101,115,112,97,99,101, 41,62,78,41,5,114,99,0,0,0,114,100,0,0,0,114, 101,0,0,0,114,89,0,0,0,114,149,0,0,0,41,1, - 114,243,0,0,0,1,114,7,0,0,0,218,11,109,111,100, + 114,243,0,0,0,32,114,7,0,0,0,218,11,109,111,100, 117,108,101,95,114,101,112,114,255,4,0,0,115,8,0,0, 0,6,7,2,1,4,255,12,2,114,9,0,0,0,122,28, 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, 0,0,0,0,0,0,0,0,0,1,0,0,0,67,0,0, 0,114,24,0,0,0,41,2,78,84,114,12,0,0,0,114, - 246,0,0,0,1,1,114,7,0,0,0,114,205,0,0,0, + 246,0,0,0,32,32,114,7,0,0,0,114,205,0,0,0, 10,5,0,0,243,2,0,0,0,4,1,114,9,0,0,0, 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, 0,0,0,0,0,0,0,0,0,0,1,0,0,0,67,0, 0,0,114,24,0,0,0,41,2,78,114,10,0,0,0,114, - 12,0,0,0,114,246,0,0,0,1,1,114,7,0,0,0, + 12,0,0,0,114,246,0,0,0,32,32,114,7,0,0,0, 114,0,1,0,0,13,5,0,0,114,72,1,0,0,114,9, 0,0,0,122,27,95,78,97,109,101,115,112,97,99,101,76, 111,97,100,101,114,46,103,101,116,95,115,111,117,114,99,101, @@ -2065,19 +2065,19 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 100,3,100,4,100,5,141,4,83,0,41,6,78,114,10,0, 0,0,122,8,60,115,116,114,105,110,103,62,114,242,0,0, 0,84,41,1,114,2,1,0,0,41,1,114,3,1,0,0, - 114,246,0,0,0,1,1,114,7,0,0,0,114,240,0,0, + 114,246,0,0,0,32,32,114,7,0,0,0,114,240,0,0, 0,16,5,0,0,114,69,1,0,0,114,9,0,0,0,122, 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, 0,0,0,0,0,0,0,1,0,0,0,67,0,0,0,114, 24,0,0,0,114,236,0,0,0,114,12,0,0,0,114,237, - 0,0,0,1,1,114,7,0,0,0,114,238,0,0,0,19, + 0,0,0,32,32,114,7,0,0,0,114,238,0,0,0,19, 5,0,0,114,239,0,0,0,114,9,0,0,0,122,30,95, 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, 0,0,0,0,0,0,0,0,0,0,1,0,0,0,67,0, 0,0,115,4,0,0,0,100,0,83,0,114,69,0,0,0, - 114,12,0,0,0,114,40,1,0,0,1,1,114,7,0,0, + 114,12,0,0,0,114,40,1,0,0,32,32,114,7,0,0, 0,114,244,0,0,0,22,5,0,0,114,72,1,0,0,114, 9,0,0,0,122,28,95,78,97,109,101,115,112,97,99,101, 76,111,97,100,101,114,46,101,120,101,99,95,109,111,100,117, @@ -2095,7 +2095,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 111,97,100,101,100,32,119,105,116,104,32,112,97,116,104,32, 123,33,114,125,78,41,4,114,158,0,0,0,114,172,0,0, 0,114,46,1,0,0,114,245,0,0,0,114,246,0,0,0, - 1,1,114,7,0,0,0,114,247,0,0,0,25,5,0,0, + 32,32,114,7,0,0,0,114,247,0,0,0,25,5,0,0, 115,8,0,0,0,6,7,4,1,4,255,12,3,114,9,0, 0,0,122,28,95,78,97,109,101,115,112,97,99,101,76,111, 97,100,101,114,46,108,111,97,100,95,109,111,100,117,108,101, @@ -2105,7 +2105,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 41,3,78,114,0,0,0,0,41,1,218,15,78,97,109,101, 115,112,97,99,101,82,101,97,100,101,114,41,3,114,30,1, 0,0,114,73,1,0,0,114,46,1,0,0,41,3,114,143, - 0,0,0,114,243,0,0,0,114,73,1,0,0,1,1,1, + 0,0,0,114,243,0,0,0,114,73,1,0,0,32,32,32, 114,7,0,0,0,114,31,1,0,0,37,5,0,0,115,4, 0,0,0,12,1,10,1,114,9,0,0,0,122,36,95,78, 97,109,101,115,112,97,99,101,76,111,97,100,101,114,46,103, @@ -2150,7 +2150,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 105,115,116,114,16,0,0,0,218,19,112,97,116,104,95,105, 109,112,111,114,116,101,114,95,99,97,99,104,101,218,5,105, 116,101,109,115,114,152,0,0,0,114,75,1,0,0,41,2, - 114,141,0,0,0,218,6,102,105,110,100,101,114,1,1,114, + 114,141,0,0,0,218,6,102,105,110,100,101,114,32,32,114, 7,0,0,0,114,75,1,0,0,48,5,0,0,115,14,0, 0,0,22,4,8,1,10,1,10,1,8,1,2,128,4,252, 114,9,0,0,0,122,28,80,97,116,104,70,105,110,100,101, @@ -2169,7 +2169,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 115,32,101,109,112,116,121,41,6,114,16,0,0,0,218,10, 112,97,116,104,95,104,111,111,107,115,114,99,0,0,0,114, 100,0,0,0,114,161,0,0,0,114,142,0,0,0,41,2, - 114,65,0,0,0,90,4,104,111,111,107,1,1,114,7,0, + 114,65,0,0,0,90,4,104,111,111,107,32,32,114,7,0, 0,0,218,11,95,112,97,116,104,95,104,111,111,107,115,58, 5,0,0,115,22,0,0,0,16,3,12,1,10,1,2,1, 12,1,2,128,12,1,4,1,2,128,4,2,2,253,115,12, @@ -2201,8 +2201,8 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 0,218,17,70,105,108,101,78,111,116,70,111,117,110,100,69, 114,114,111,114,114,16,0,0,0,114,77,1,0,0,218,8, 75,101,121,69,114,114,111,114,114,81,1,0,0,41,3,114, - 220,0,0,0,114,65,0,0,0,114,79,1,0,0,1,1, - 1,114,7,0,0,0,218,20,95,112,97,116,104,95,105,109, + 220,0,0,0,114,65,0,0,0,114,79,1,0,0,32,32, + 32,114,7,0,0,0,218,20,95,112,97,116,104,95,105,109, 112,111,114,116,101,114,95,99,97,99,104,101,71,5,0,0, 115,36,0,0,0,8,8,2,1,10,1,2,128,12,1,6, 3,2,128,2,1,10,1,4,4,2,128,12,253,10,1,12, @@ -2234,7 +2234,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 228,0,0,0,114,223,0,0,0,114,206,0,0,0,114,201, 0,0,0,41,7,114,220,0,0,0,114,162,0,0,0,114, 79,1,0,0,114,165,0,0,0,114,163,0,0,0,114,164, - 0,0,0,114,209,0,0,0,1,1,1,1,1,1,1,114, + 0,0,0,114,209,0,0,0,32,32,32,32,32,32,32,114, 7,0,0,0,218,16,95,108,101,103,97,99,121,95,103,101, 116,95,115,112,101,99,93,5,0,0,115,26,0,0,0,10, 4,16,1,12,2,16,1,16,2,12,2,10,1,4,1,8, @@ -2266,8 +2266,8 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 9,114,220,0,0,0,114,162,0,0,0,114,65,0,0,0, 114,224,0,0,0,218,14,110,97,109,101,115,112,97,99,101, 95,112,97,116,104,90,5,101,110,116,114,121,114,79,1,0, - 0,114,209,0,0,0,114,164,0,0,0,1,1,1,1,1, - 1,1,1,1,114,7,0,0,0,218,9,95,103,101,116,95, + 0,114,209,0,0,0,114,164,0,0,0,32,32,32,32,32, + 32,32,32,32,114,7,0,0,0,218,9,95,103,101,116,95, 115,112,101,99,114,5,0,0,115,42,0,0,0,4,5,8, 1,14,1,2,1,10,1,8,1,10,1,14,1,12,2,8, 1,2,1,10,1,8,1,6,1,8,1,8,1,10,5,2, @@ -2294,7 +2294,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 0,0,114,201,0,0,0,114,204,0,0,0,114,44,1,0, 0,41,6,114,220,0,0,0,114,162,0,0,0,114,65,0, 0,0,114,224,0,0,0,114,209,0,0,0,114,87,1,0, - 0,1,1,1,1,1,1,114,7,0,0,0,114,225,0,0, + 0,32,32,32,32,32,32,114,7,0,0,0,114,225,0,0, 0,146,5,0,0,115,26,0,0,0,8,6,6,1,14,1, 8,1,4,1,10,1,6,1,4,1,6,3,16,1,4,1, 4,2,4,2,114,9,0,0,0,122,20,80,97,116,104,70, @@ -2321,7 +2321,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 32,105,110,32,80,121,116,104,111,110,32,51,46,49,50,59, 32,117,115,101,32,102,105,110,100,95,115,112,101,99,40,41, 32,105,110,115,116,101,97,100,78,114,226,0,0,0,114,227, - 0,0,0,1,1,1,1,114,7,0,0,0,114,228,0,0, + 0,0,0,32,32,32,32,114,7,0,0,0,114,228,0,0, 0,170,5,0,0,115,14,0,0,0,6,8,2,2,4,254, 12,3,8,1,4,1,6,1,114,9,0,0,0,122,22,80, 97,116,104,70,105,110,100,101,114,46,102,105,110,100,95,109, @@ -2352,8 +2352,8 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 90,18,105,109,112,111,114,116,108,105,98,46,109,101,116,97, 100,97,116,97,114,89,1,0,0,218,18,102,105,110,100,95, 100,105,115,116,114,105,98,117,116,105,111,110,115,41,3,114, - 144,0,0,0,114,145,0,0,0,114,89,1,0,0,1,1, - 1,114,7,0,0,0,114,90,1,0,0,186,5,0,0,115, + 144,0,0,0,114,145,0,0,0,114,89,1,0,0,32,32, + 32,114,7,0,0,0,114,90,1,0,0,186,5,0,0,115, 4,0,0,0,12,10,16,1,114,9,0,0,0,122,29,80, 97,116,104,70,105,110,100,101,114,46,102,105,110,100,95,100, 105,115,116,114,105,98,117,116,105,111,110,115,114,69,0,0, @@ -2408,7 +2408,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 0,115,24,0,0,0,129,0,124,0,93,7,125,1,124,1, 136,0,102,2,86,0,1,0,113,2,100,0,83,0,114,69, 0,0,0,114,12,0,0,0,41,3,114,5,0,0,0,114, - 41,1,0,0,114,163,0,0,0,1,1,128,114,7,0,0, + 41,1,0,0,114,163,0,0,0,32,32,128,114,7,0,0, 0,114,8,0,0,0,215,5,0,0,115,4,0,0,0,6, 128,18,0,114,9,0,0,0,122,38,70,105,108,101,70,105, 110,100,101,114,46,95,95,105,110,105,116,95,95,46,60,108, @@ -2422,7 +2422,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 97,116,104,95,99,97,99,104,101,41,6,114,143,0,0,0, 114,65,0,0,0,218,14,108,111,97,100,101,114,95,100,101, 116,97,105,108,115,90,7,108,111,97,100,101,114,115,114,211, - 0,0,0,114,163,0,0,0,1,1,1,1,1,64,114,7, + 0,0,0,114,163,0,0,0,32,32,32,32,32,64,114,7, 0,0,0,114,235,0,0,0,209,5,0,0,115,20,0,0, 0,4,4,12,1,26,1,6,1,10,2,10,1,18,1,6, 1,8,1,12,1,114,9,0,0,0,122,19,70,105,108,101, @@ -2432,7 +2432,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 2,83,0,41,3,122,31,73,110,118,97,108,105,100,97,116, 101,32,116,104,101,32,100,105,114,101,99,116,111,114,121,32, 109,116,105,109,101,46,114,130,0,0,0,78,41,1,114,93, - 1,0,0,114,20,1,0,0,1,114,7,0,0,0,114,75, + 1,0,0,114,20,1,0,0,32,114,7,0,0,0,114,75, 1,0,0,225,5,0,0,114,81,0,0,0,114,9,0,0, 0,122,28,70,105,108,101,70,105,110,100,101,114,46,105,110, 118,97,108,105,100,97,116,101,95,99,97,99,104,101,115,99, @@ -2463,7 +2463,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 41,6,114,99,0,0,0,114,100,0,0,0,114,101,0,0, 0,114,225,0,0,0,114,163,0,0,0,114,201,0,0,0, 41,3,114,143,0,0,0,114,162,0,0,0,114,209,0,0, - 0,1,1,1,114,7,0,0,0,114,160,0,0,0,231,5, + 0,32,32,32,114,7,0,0,0,114,160,0,0,0,231,5, 0,0,115,14,0,0,0,6,7,2,2,4,254,10,3,8, 1,8,1,16,1,114,9,0,0,0,122,22,70,105,108,101, 70,105,110,100,101,114,46,102,105,110,100,95,108,111,97,100, @@ -2473,8 +2473,8 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 100,1,141,4,83,0,41,2,78,114,200,0,0,0,41,1, 114,212,0,0,0,41,7,114,143,0,0,0,114,210,0,0, 0,114,162,0,0,0,114,65,0,0,0,90,4,115,109,115, - 108,114,224,0,0,0,114,163,0,0,0,1,1,1,1,1, - 1,1,114,7,0,0,0,114,88,1,0,0,246,5,0,0, + 108,114,224,0,0,0,114,163,0,0,0,32,32,32,32,32, + 32,32,114,7,0,0,0,114,88,1,0,0,246,5,0,0, 115,8,0,0,0,10,1,8,1,2,1,6,255,114,9,0, 0,0,122,20,70,105,108,101,70,105,110,100,101,114,46,95, 103,101,116,95,115,112,101,99,78,99,3,0,0,0,0,0, @@ -2530,8 +2530,8 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 90,9,98,97,115,101,95,112,97,116,104,114,41,1,0,0, 114,210,0,0,0,90,13,105,110,105,116,95,102,105,108,101, 110,97,109,101,90,9,102,117,108,108,95,112,97,116,104,114, - 209,0,0,0,1,1,1,1,1,1,1,1,1,1,1,1, - 1,1,114,7,0,0,0,114,225,0,0,0,251,5,0,0, + 209,0,0,0,32,32,32,32,32,32,32,32,32,32,32,32, + 32,32,114,7,0,0,0,114,225,0,0,0,251,5,0,0, 115,94,0,0,0,4,5,14,1,2,1,22,1,2,128,12, 1,8,1,2,128,10,1,8,1,6,1,6,2,6,1,10, 1,6,2,4,1,8,2,12,1,14,1,8,1,10,1,8, @@ -2565,7 +2565,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 0,83,0,0,0,115,20,0,0,0,104,0,124,0,93,6, 125,1,124,1,160,0,161,0,146,2,113,2,83,0,114,12, 0,0,0,41,1,114,131,0,0,0,41,2,114,5,0,0, - 0,90,2,102,110,1,1,114,7,0,0,0,114,14,0,0, + 0,90,2,102,110,32,32,114,7,0,0,0,114,14,0,0, 0,75,6,0,0,115,2,0,0,0,20,0,114,9,0,0, 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, @@ -2582,7 +2582,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 108,111,119,101,114,95,115,117,102,102,105,120,95,99,111,110, 116,101,110,116,115,114,67,1,0,0,114,141,0,0,0,114, 51,1,0,0,114,41,1,0,0,90,8,110,101,119,95,110, - 97,109,101,1,1,1,1,1,1,1,1,1,114,7,0,0, + 97,109,101,32,32,32,32,32,32,32,32,32,114,7,0,0, 0,114,98,1,0,0,46,6,0,0,115,42,0,0,0,6, 2,2,1,20,1,2,128,18,1,8,3,2,128,12,3,12, 1,6,7,8,1,16,1,4,1,18,1,4,2,12,1,6, @@ -2620,7 +2620,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 100,105,114,101,99,116,111,114,105,101,115,32,97,114,101,32, 115,117,112,112,111,114,116,101,100,114,74,0,0,0,78,41, 2,114,83,0,0,0,114,142,0,0,0,41,3,114,65,0, - 0,0,114,220,0,0,0,114,97,1,0,0,1,128,128,114, + 0,0,114,220,0,0,0,114,97,1,0,0,32,128,128,114, 7,0,0,0,218,24,112,97,116,104,95,104,111,111,107,95, 102,111,114,95,70,105,108,101,70,105,110,100,101,114,87,6, 0,0,115,6,0,0,0,8,2,12,1,16,1,114,9,0, @@ -2629,7 +2629,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 62,46,112,97,116,104,95,104,111,111,107,95,102,111,114,95, 70,105,108,101,70,105,110,100,101,114,78,114,12,0,0,0, 41,5,114,220,0,0,0,114,97,1,0,0,114,102,1,0, - 0,114,220,0,0,0,114,97,1,0,0,65,65,1,64,64, + 0,114,220,0,0,0,114,97,1,0,0,96,96,32,64,64, 114,7,0,0,0,218,9,112,97,116,104,95,104,111,111,107, 77,6,0,0,115,4,0,0,0,14,10,4,6,114,9,0, 0,0,122,20,70,105,108,101,70,105,110,100,101,114,46,112, @@ -2637,7 +2637,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 0,0,0,0,0,3,0,0,0,67,0,0,0,114,64,1, 0,0,41,2,78,122,16,70,105,108,101,70,105,110,100,101, 114,40,123,33,114,125,41,41,2,114,89,0,0,0,114,65, - 0,0,0,114,20,1,0,0,1,114,7,0,0,0,114,65, + 0,0,0,114,20,1,0,0,32,114,7,0,0,0,114,65, 1,0,0,95,6,0,0,114,58,1,0,0,114,9,0,0, 0,122,19,70,105,108,101,70,105,110,100,101,114,46,95,95, 114,101,112,114,95,95,114,69,0,0,0,41,15,114,149,0, @@ -2668,7 +2668,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 9,69,120,99,101,112,116,105,111,110,41,6,90,2,110,115, 114,141,0,0,0,90,8,112,97,116,104,110,97,109,101,90, 9,99,112,97,116,104,110,97,109,101,114,163,0,0,0,114, - 209,0,0,0,1,1,1,1,1,1,114,7,0,0,0,218, + 209,0,0,0,32,32,32,32,32,32,114,7,0,0,0,218, 14,95,102,105,120,95,117,112,95,109,111,100,117,108,101,101, 6,0,0,115,40,0,0,0,10,2,10,1,4,1,4,1, 8,1,8,1,12,1,10,2,4,1,14,1,2,1,8,1, @@ -2690,13 +2690,13 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 0,0,114,127,0,0,0,114,39,1,0,0,114,113,0,0, 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, - 101,1,1,1,114,7,0,0,0,114,207,0,0,0,124,6, + 101,32,32,32,114,7,0,0,0,114,207,0,0,0,124,6, 0,0,115,8,0,0,0,12,5,8,1,8,1,10,1,114, 9,0,0,0,114,207,0,0,0,99,1,0,0,0,0,0, 0,0,0,0,0,0,1,0,0,0,67,0,0,0,115,8, 0,0,0,124,0,97,0,100,0,83,0,114,69,0,0,0, 41,1,114,158,0,0,0,41,1,218,17,95,98,111,111,116, - 115,116,114,97,112,95,109,111,100,117,108,101,1,114,7,0, + 115,116,114,97,112,95,109,111,100,117,108,101,32,114,7,0, 0,0,218,21,95,115,101,116,95,98,111,111,116,115,116,114, 97,112,95,109,111,100,117,108,101,135,6,0,0,115,2,0, 0,0,8,2,114,9,0,0,0,114,111,1,0,0,99,1, @@ -2712,7 +2712,7 @@ const unsigned char _Py_M__importlib_bootstrap_external[] = { 0,0,0,114,91,1,0,0,114,103,1,0,0,218,9,109, 101,116,97,95,112,97,116,104,114,61,0,0,0,114,74,1, 0,0,41,2,114,110,1,0,0,90,17,115,117,112,112,111, - 114,116,101,100,95,108,111,97,100,101,114,115,1,1,114,7, + 114,116,101,100,95,108,111,97,100,101,114,115,32,32,114,7, 0,0,0,218,8,95,105,110,115,116,97,108,108,140,6,0, 0,115,8,0,0,0,8,2,6,1,20,1,16,1,114,9, 0,0,0,114,113,1,0,0,41,1,114,87,0,0,0,114, diff --git a/Python/importlib_zipimport.h b/Python/importlib_zipimport.h index 7b0fd0674690f7..63084b7e57d251 100644 --- a/Python/importlib_zipimport.h +++ b/Python/importlib_zipimport.h @@ -159,7 +159,7 @@ const unsigned char _Py_M__zipimport[] = { 115,101,108,102,114,14,0,0,0,114,18,0,0,0,114,32, 0,0,0,90,2,115,116,90,7,100,105,114,110,97,109,101, 90,8,98,97,115,101,110,97,109,101,218,5,102,105,108,101, - 115,1,1,1,1,1,1,1,1,114,10,0,0,0,218,8, + 115,32,32,32,32,32,32,32,32,114,10,0,0,0,218,8, 95,95,105,110,105,116,95,95,64,0,0,0,115,76,0,0, 0,10,1,8,1,10,1,4,1,12,1,4,1,12,1,4, 2,2,1,2,1,12,1,2,128,16,1,14,3,8,1,12, @@ -226,8 +226,8 @@ const unsigned char _Py_M__zipimport[] = { 117,108,101,95,112,97,116,104,218,7,95,105,115,95,100,105, 114,114,30,0,0,0,114,21,0,0,0,41,5,114,33,0, 0,0,218,8,102,117,108,108,110,97,109,101,114,14,0,0, - 0,218,2,109,105,218,7,109,111,100,112,97,116,104,1,1, - 1,1,1,114,10,0,0,0,218,11,102,105,110,100,95,108, + 0,218,2,109,105,218,7,109,111,100,112,97,116,104,32,32, + 32,32,32,114,10,0,0,0,218,11,102,105,110,100,95,108, 111,97,100,101,114,110,0,0,0,115,20,0,0,0,6,12, 2,2,4,254,10,3,8,1,8,2,10,7,10,1,24,4, 8,2,114,11,0,0,0,122,23,122,105,112,105,109,112,111, @@ -273,7 +273,7 @@ const unsigned char _Py_M__zipimport[] = { 100,95,115,112,101,99,40,41,32,105,110,115,116,101,97,100, 114,0,0,0,0,78,41,4,114,36,0,0,0,114,37,0, 0,0,114,38,0,0,0,114,45,0,0,0,41,3,114,33, - 0,0,0,114,42,0,0,0,114,14,0,0,0,1,1,1, + 0,0,0,114,42,0,0,0,114,14,0,0,0,32,32,32, 114,10,0,0,0,218,11,102,105,110,100,95,109,111,100,117, 108,101,147,0,0,0,115,8,0,0,0,6,11,2,2,4, 254,16,3,114,11,0,0,0,122,23,122,105,112,105,109,112, @@ -305,7 +305,7 @@ const unsigned char _Py_M__zipimport[] = { 0,41,7,114,33,0,0,0,114,42,0,0,0,90,6,116, 97,114,103,101,116,90,11,109,111,100,117,108,101,95,105,110, 102,111,114,44,0,0,0,114,14,0,0,0,90,4,115,112, - 101,99,1,1,1,1,1,1,1,114,10,0,0,0,218,9, + 101,99,32,32,32,32,32,32,32,114,10,0,0,0,218,9, 102,105,110,100,95,115,112,101,99,163,0,0,0,115,24,0, 0,0,10,5,8,1,16,1,10,7,10,1,18,4,8,1, 2,1,6,255,12,2,4,1,4,2,114,11,0,0,0,122, @@ -327,7 +327,7 @@ const unsigned char _Py_M__zipimport[] = { 1,218,16,95,103,101,116,95,109,111,100,117,108,101,95,99, 111,100,101,169,5,114,33,0,0,0,114,42,0,0,0,218, 4,99,111,100,101,218,9,105,115,112,97,99,107,97,103,101, - 114,44,0,0,0,1,1,1,1,1,114,10,0,0,0,218, + 114,44,0,0,0,32,32,32,32,32,114,10,0,0,0,218, 8,103,101,116,95,99,111,100,101,190,0,0,0,115,4,0, 0,0,16,6,4,1,114,11,0,0,0,122,20,122,105,112, 105,109,112,111,114,116,101,114,46,103,101,116,95,99,111,100, @@ -356,7 +356,7 @@ const unsigned char _Py_M__zipimport[] = { 27,0,0,0,114,23,0,0,0,218,9,95,103,101,116,95, 100,97,116,97,41,4,114,33,0,0,0,218,8,112,97,116, 104,110,97,109,101,90,3,107,101,121,218,9,116,111,99,95, - 101,110,116,114,121,1,1,1,1,114,10,0,0,0,218,8, + 101,110,116,114,121,32,32,32,32,114,10,0,0,0,218,8, 103,101,116,95,100,97,116,97,200,0,0,0,115,26,0,0, 0,4,6,12,1,4,2,16,1,22,1,2,2,12,1,2, 128,12,1,12,1,2,128,12,1,2,254,115,12,0,0,0, @@ -376,7 +376,7 @@ const unsigned char _Py_M__zipimport[] = { 32,32,32,32,32,105,102,32,105,116,32,99,111,117,108,100, 110,39,116,32,98,101,32,105,109,112,111,114,116,101,100,46, 10,32,32,32,32,32,32,32,32,78,114,51,0,0,0,114, - 53,0,0,0,1,1,1,1,1,114,10,0,0,0,218,12, + 53,0,0,0,32,32,32,32,32,114,10,0,0,0,218,12, 103,101,116,95,102,105,108,101,110,97,109,101,221,0,0,0, 115,4,0,0,0,16,8,4,1,114,11,0,0,0,122,24, 122,105,112,105,109,112,111,114,116,101,114,46,103,101,116,95, @@ -414,8 +414,8 @@ const unsigned char _Py_M__zipimport[] = { 0,114,27,0,0,0,114,60,0,0,0,114,30,0,0,0, 218,6,100,101,99,111,100,101,41,6,114,33,0,0,0,114, 42,0,0,0,114,43,0,0,0,114,14,0,0,0,218,8, - 102,117,108,108,112,97,116,104,114,62,0,0,0,1,1,1, - 1,1,1,114,10,0,0,0,218,10,103,101,116,95,115,111, + 102,117,108,108,112,97,116,104,114,62,0,0,0,32,32,32, + 32,32,32,114,10,0,0,0,218,10,103,101,116,95,115,111, 117,114,99,101,233,0,0,0,115,30,0,0,0,10,7,8, 1,18,1,10,2,4,1,14,1,10,2,2,2,12,1,2, 128,12,1,6,2,2,128,16,1,2,253,115,12,0,0,0, @@ -438,7 +438,7 @@ const unsigned char _Py_M__zipimport[] = { 39,116,32,98,101,32,102,111,117,110,100,46,10,32,32,32, 32,32,32,32,32,78,114,65,0,0,0,114,66,0,0,0, 41,2,114,39,0,0,0,114,3,0,0,0,41,3,114,33, - 0,0,0,114,42,0,0,0,114,43,0,0,0,1,1,1, + 0,0,0,114,42,0,0,0,114,43,0,0,0,32,32,32, 114,10,0,0,0,114,47,0,0,0,3,1,0,0,115,8, 0,0,0,10,6,8,1,18,1,4,1,114,11,0,0,0, 122,22,122,105,112,105,109,112,111,114,116,101,114,46,105,115, @@ -508,7 +508,7 @@ const unsigned char _Py_M__zipimport[] = { 115,97,103,101,41,9,114,33,0,0,0,114,42,0,0,0, 218,3,109,115,103,114,54,0,0,0,114,55,0,0,0,114, 44,0,0,0,90,3,109,111,100,114,14,0,0,0,114,70, - 0,0,0,1,1,1,1,1,1,1,1,1,114,10,0,0, + 0,0,0,32,32,32,32,32,32,32,32,32,114,10,0,0, 0,218,11,108,111,97,100,95,109,111,100,117,108,101,16,1, 0,0,115,62,0,0,0,4,9,12,2,16,1,12,1,18, 1,8,1,10,1,6,1,2,2,4,1,10,3,14,1,8, @@ -541,7 +541,7 @@ const unsigned char _Py_M__zipimport[] = { 47,0,0,0,114,3,0,0,0,90,17,105,109,112,111,114, 116,108,105,98,46,114,101,97,100,101,114,115,114,85,0,0, 0,41,3,114,33,0,0,0,114,42,0,0,0,114,85,0, - 0,0,1,1,1,114,10,0,0,0,218,19,103,101,116,95, + 0,0,32,32,32,114,10,0,0,0,218,19,103,101,116,95, 114,101,115,111,117,114,99,101,95,114,101,97,100,101,114,59, 1,0,0,115,22,0,0,0,2,6,10,1,4,1,2,255, 2,128,12,2,6,1,2,128,12,1,10,1,2,253,115,12, @@ -559,7 +559,7 @@ const unsigned char _Py_M__zipimport[] = { 116,104,101,32,97,114,99,104,105,118,101,32,112,97,116,104, 46,78,41,6,114,28,0,0,0,114,30,0,0,0,114,29, 0,0,0,114,26,0,0,0,114,3,0,0,0,218,3,112, - 111,112,169,1,114,33,0,0,0,1,114,10,0,0,0,218, + 111,112,169,1,114,33,0,0,0,32,114,10,0,0,0,218, 17,105,110,118,97,108,105,100,97,116,101,95,99,97,99,104, 101,115,74,1,0,0,115,18,0,0,0,2,2,12,1,16, 1,2,128,12,1,14,1,12,1,2,128,2,254,115,12,0, @@ -572,7 +572,7 @@ const unsigned char _Py_M__zipimport[] = { 3,78,122,21,60,122,105,112,105,109,112,111,114,116,101,114, 32,111,98,106,101,99,116,32,34,122,2,34,62,41,3,114, 30,0,0,0,114,21,0,0,0,114,32,0,0,0,114,88, - 0,0,0,1,114,10,0,0,0,218,8,95,95,114,101,112, + 0,0,0,32,114,10,0,0,0,218,8,95,95,114,101,112, 114,95,95,84,1,0,0,115,2,0,0,0,24,1,114,11, 0,0,0,122,20,122,105,112,105,109,112,111,114,116,101,114, 46,95,95,114,101,112,114,95,95,169,1,78,41,17,114,6, @@ -593,14 +593,14 @@ const unsigned char _Py_M__zipimport[] = { 100,2,25,0,23,0,83,0,41,3,78,218,1,46,233,2, 0,0,0,41,2,114,32,0,0,0,218,10,114,112,97,114, 116,105,116,105,111,110,41,2,114,33,0,0,0,114,42,0, - 0,0,1,1,114,10,0,0,0,114,40,0,0,0,102,1, + 0,0,32,32,114,10,0,0,0,114,40,0,0,0,102,1, 0,0,115,2,0,0,0,20,1,114,11,0,0,0,114,40, 0,0,0,99,2,0,0,0,0,0,0,0,0,0,0,0, 2,0,0,0,67,0,0,0,115,18,0,0,0,124,1,116, 0,23,0,125,2,124,2,124,0,106,1,118,0,83,0,114, 91,0,0,0,41,2,114,21,0,0,0,114,29,0,0,0, 41,3,114,33,0,0,0,114,14,0,0,0,90,7,100,105, - 114,112,97,116,104,1,1,1,114,10,0,0,0,114,41,0, + 114,112,97,116,104,32,32,32,114,10,0,0,0,114,41,0, 0,0,106,1,0,0,115,4,0,0,0,8,4,10,2,114, 11,0,0,0,114,41,0,0,0,99,2,0,0,0,0,0, 0,0,0,0,0,0,4,0,0,0,67,0,0,0,115,56, @@ -612,8 +612,8 @@ const unsigned char _Py_M__zipimport[] = { 97,114,99,104,111,114,100,101,114,114,29,0,0,0,41,7, 114,33,0,0,0,114,42,0,0,0,114,14,0,0,0,218, 6,115,117,102,102,105,120,218,10,105,115,98,121,116,101,99, - 111,100,101,114,55,0,0,0,114,70,0,0,0,1,1,1, - 1,1,1,1,114,10,0,0,0,114,39,0,0,0,115,1, + 111,100,101,114,55,0,0,0,114,70,0,0,0,32,32,32, + 32,32,32,32,114,10,0,0,0,114,39,0,0,0,115,1, 0,0,115,14,0,0,0,10,1,14,1,8,1,10,1,8, 1,2,255,4,2,114,11,0,0,0,114,39,0,0,0,99, 1,0,0,0,0,0,0,0,0,0,0,0,9,0,0,0, @@ -750,9 +750,9 @@ const unsigned char _Py_M__zipimport[] = { 9,110,97,109,101,95,115,105,122,101,218,10,101,120,116,114, 97,95,115,105,122,101,90,12,99,111,109,109,101,110,116,95, 115,105,122,101,218,11,102,105,108,101,95,111,102,102,115,101, - 116,114,48,0,0,0,114,14,0,0,0,218,1,116,1,1, - 1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1, - 1,1,1,1,1,1,1,1,114,10,0,0,0,114,28,0, + 116,114,48,0,0,0,114,14,0,0,0,218,1,116,32,32, + 32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32, + 32,32,32,32,32,32,32,32,114,10,0,0,0,114,28,0, 0,0,146,1,0,0,115,16,1,0,0,2,1,12,1,2, 128,14,1,18,1,2,128,6,2,2,1,14,1,8,1,12, 1,2,128,14,1,18,1,2,128,12,1,18,1,16,1,2, @@ -834,7 +834,7 @@ const unsigned char _Py_M__zipimport[] = { 116,105,110,103,95,122,108,105,98,114,49,0,0,0,114,82, 0,0,0,114,3,0,0,0,90,4,122,108,105,98,114,148, 0,0,0,218,9,69,120,99,101,112,116,105,111,110,114,147, - 0,0,0,1,114,10,0,0,0,218,20,95,103,101,116,95, + 0,0,0,32,114,10,0,0,0,218,20,95,103,101,116,95, 100,101,99,111,109,112,114,101,115,115,95,102,117,110,99,48, 2,0,0,115,36,0,0,0,4,2,10,3,8,1,4,2, 2,1,14,1,2,128,12,1,10,1,8,1,2,128,2,253, @@ -884,8 +884,8 @@ const unsigned char _Py_M__zipimport[] = { 0,114,144,0,0,0,114,138,0,0,0,114,139,0,0,0, 114,140,0,0,0,114,130,0,0,0,114,131,0,0,0,114, 142,0,0,0,114,143,0,0,0,114,134,0,0,0,90,8, - 114,97,119,95,100,97,116,97,114,148,0,0,0,1,1,1, - 1,1,1,1,1,1,1,1,1,1,1,1,1,1,114,10, + 114,97,119,95,100,97,116,97,114,148,0,0,0,32,32,32, + 32,32,32,32,32,32,32,32,32,32,32,32,32,32,114,10, 0,0,0,114,60,0,0,0,69,2,0,0,115,86,0,0, 0,20,1,8,1,8,1,12,2,2,2,12,1,2,128,12, 1,18,1,2,128,10,1,12,1,8,1,16,2,18,2,16, @@ -902,7 +902,7 @@ const unsigned char _Py_M__zipimport[] = { 0,0,0,0,0,0,3,0,0,0,67,0,0,0,115,16, 0,0,0,116,0,124,0,124,1,24,0,131,1,100,1,107, 1,83,0,41,2,78,114,5,0,0,0,41,1,218,3,97, - 98,115,41,2,90,2,116,49,90,2,116,50,1,1,114,10, + 98,115,41,2,90,2,116,49,90,2,116,50,32,32,114,10, 0,0,0,218,9,95,101,113,95,109,116,105,109,101,115,2, 0,0,115,2,0,0,0,16,2,114,11,0,0,0,114,154, 0,0,0,99,5,0,0,0,0,0,0,0,0,0,0,0, @@ -951,8 +951,8 @@ const unsigned char _Py_M__zipimport[] = { 115,111,117,114,99,101,90,12,115,111,117,114,99,101,95,98, 121,116,101,115,114,157,0,0,0,90,12,115,111,117,114,99, 101,95,109,116,105,109,101,90,11,115,111,117,114,99,101,95, - 115,105,122,101,114,54,0,0,0,1,1,1,1,1,1,1, - 1,1,1,1,1,1,1,114,10,0,0,0,218,15,95,117, + 115,105,122,101,114,54,0,0,0,32,32,32,32,32,32,32, + 32,32,32,32,32,32,32,114,10,0,0,0,218,15,95,117, 110,109,97,114,115,104,97,108,95,99,111,100,101,123,2,0, 0,115,72,0,0,0,2,2,2,1,6,254,14,5,12,2, 4,1,12,1,10,1,2,1,2,255,8,1,2,255,10,2, @@ -965,7 +965,7 @@ const unsigned char _Py_M__zipimport[] = { 160,0,100,3,100,2,161,2,125,0,124,0,83,0,41,4, 78,115,2,0,0,0,13,10,243,1,0,0,0,10,243,1, 0,0,0,13,41,1,114,20,0,0,0,41,1,218,6,115, - 111,117,114,99,101,1,114,10,0,0,0,218,23,95,110,111, + 111,117,114,99,101,32,114,10,0,0,0,218,23,95,110,111, 114,109,97,108,105,122,101,95,108,105,110,101,95,101,110,100, 105,110,103,115,168,2,0,0,115,6,0,0,0,12,1,12, 1,4,1,114,11,0,0,0,114,166,0,0,0,99,2,0, @@ -975,7 +975,7 @@ const unsigned char _Py_M__zipimport[] = { 4,78,114,80,0,0,0,84,41,1,90,12,100,111,110,116, 95,105,110,104,101,114,105,116,41,2,114,166,0,0,0,218, 7,99,111,109,112,105,108,101,41,2,114,61,0,0,0,114, - 165,0,0,0,1,1,114,10,0,0,0,218,15,95,99,111, + 165,0,0,0,32,32,114,10,0,0,0,218,15,95,99,111, 109,112,105,108,101,95,115,111,117,114,99,101,175,2,0,0, 115,4,0,0,0,8,1,16,1,114,11,0,0,0,114,168, 0,0,0,99,2,0,0,0,0,0,0,0,0,0,0,0, @@ -988,7 +988,7 @@ const unsigned char _Py_M__zipimport[] = { 0,0,0,233,15,0,0,0,233,31,0,0,0,233,11,0, 0,0,233,63,0,0,0,114,94,0,0,0,114,15,0,0, 0,41,2,114,138,0,0,0,90,6,109,107,116,105,109,101, - 41,2,218,1,100,114,145,0,0,0,1,1,114,10,0,0, + 41,2,218,1,100,114,145,0,0,0,32,32,114,10,0,0, 0,218,14,95,112,97,114,115,101,95,100,111,115,116,105,109, 101,181,2,0,0,115,18,0,0,0,4,1,10,1,10,1, 6,1,6,1,10,1,10,1,6,1,6,249,114,11,0,0, @@ -1008,8 +1008,8 @@ const unsigned char _Py_M__zipimport[] = { 100,101,120,69,114,114,111,114,114,161,0,0,0,41,6,114, 33,0,0,0,114,14,0,0,0,114,62,0,0,0,114,138, 0,0,0,114,139,0,0,0,90,17,117,110,99,111,109,112, - 114,101,115,115,101,100,95,115,105,122,101,1,1,1,1,1, - 1,114,10,0,0,0,114,158,0,0,0,194,2,0,0,115, + 114,101,115,115,101,100,95,115,105,122,101,32,32,32,32,32, + 32,114,10,0,0,0,114,158,0,0,0,194,2,0,0,115, 26,0,0,0,2,1,20,2,12,1,10,1,8,3,8,1, 8,1,14,1,2,128,18,1,6,1,2,128,2,255,115,12, 0,0,0,129,39,41,0,169,10,54,7,183,1,54,7,114, @@ -1023,7 +1023,7 @@ const unsigned char _Py_M__zipimport[] = { 41,3,78,114,15,0,0,0,114,177,0,0,0,41,4,114, 29,0,0,0,114,27,0,0,0,114,60,0,0,0,114,30, 0,0,0,41,3,114,33,0,0,0,114,14,0,0,0,114, - 62,0,0,0,1,1,1,114,10,0,0,0,114,156,0,0, + 62,0,0,0,32,32,32,114,10,0,0,0,114,156,0,0, 0,213,2,0,0,115,20,0,0,0,20,2,12,1,2,2, 12,1,2,128,12,1,6,1,2,128,12,2,2,253,115,12, 0,0,0,145,5,23,0,151,7,33,7,168,1,33,7,114, @@ -1059,8 +1059,8 @@ const unsigned char _Py_M__zipimport[] = { 116,95,101,114,114,111,114,114,97,0,0,0,114,98,0,0, 0,114,55,0,0,0,114,70,0,0,0,114,62,0,0,0, 114,44,0,0,0,114,133,0,0,0,114,54,0,0,0,90, - 3,101,120,99,114,83,0,0,0,1,1,1,1,1,1,1, - 1,1,1,1,1,1,1,114,10,0,0,0,114,52,0,0, + 3,101,120,99,114,83,0,0,0,32,32,32,32,32,32,32, + 32,32,32,32,32,32,32,114,10,0,0,0,114,52,0,0, 0,228,2,0,0,115,64,0,0,0,10,1,4,1,14,1, 8,1,22,1,2,1,12,1,2,128,12,1,4,1,2,128, 8,2,12,1,4,1,4,1,2,1,18,1,2,128,12,1, From 235e4aa3f9a9dd0978edbea1eb1ce61f3b59a266 Mon Sep 17 00:00:00 2001 From: Eric Snow Date: Wed, 2 Jun 2021 09:41:43 -0600 Subject: [PATCH 26/31] "fastlocal" -> "localsplus" --- Include/cpython/code.h | 10 +-- Include/internal/pycore_code.h | 16 ++--- Lib/dis.py | 18 +++--- Objects/clinic/codeobject.c.h | 16 ++--- Objects/codeobject.c | 112 ++++++++++++++++----------------- Objects/frameobject.c | 20 +++--- Objects/typeobject.c | 4 +- Python/ceval.c | 38 +++++------ Python/compile.c | 44 ++++++------- Python/marshal.c | 32 +++++----- Python/suggestions.c | 2 +- 11 files changed, 156 insertions(+), 156 deletions(-) diff --git a/Include/cpython/code.h b/Include/cpython/code.h index b347b4b2c0373b..add34f3144d69b 100644 --- a/Include/cpython/code.h +++ b/Include/cpython/code.h @@ -18,8 +18,8 @@ typedef struct _PyOpcache _PyOpcache; // These are duplicated from pycore_code.h. -typedef unsigned char _PyFastLocalKind; -typedef _PyFastLocalKind *_PyFastLocalKinds; +typedef unsigned char _PyLocalsPlusKind; +typedef _PyLocalsPlusKind *_PyLocalsPlusKinds; /* Bytecode object */ struct PyCodeObject { @@ -60,8 +60,8 @@ struct PyCodeObject { int co_kwonlyargcount; /* #keyword only arguments */ int co_stacksize; /* #entries needed for evaluation stack */ int co_firstlineno; /* first source line number */ - PyObject *co_fastlocalnames; /* tuple mapping fastlocalsplus to names */ - _PyFastLocalKinds co_fastlocalkinds; /* array mapping to local kinds */ + PyObject *co_localsplusnames; /* tuple mapping offsets to names */ + _PyLocalsPlusKinds co_localspluskinds; /* array mapping to local kinds */ PyObject *co_filename; /* unicode (where it was loaded from) */ PyObject *co_name; /* unicode (name, for reference) */ PyObject *co_linetable; /* string (encoding addr<->lineno mapping) See @@ -71,7 +71,7 @@ struct PyCodeObject { /* These fields are set with computed values on new code objects. */ int *co_cell2arg; /* Maps cell vars which are arguments. */ - // redundant values (derived from co_fastlocalnames and co_fastlocalkinds) + // redundant values (derived from co_localsplusnames and co_localspluskinds) int co_nlocalsplus; /* number of local + cell + free variables */ int co_nlocals; /* number of local variables */ int co_ncellvars; /* number of cell variables */ diff --git a/Include/internal/pycore_code.h b/Include/internal/pycore_code.h index c9d3ce84ef64b7..c556023e8ce3ef 100644 --- a/Include/internal/pycore_code.h +++ b/Include/internal/pycore_code.h @@ -27,24 +27,24 @@ struct _PyOpcache { // We would use an enum if C let us specify the storage type. -typedef unsigned char _PyFastLocalKind; -/* Note that these all fit within _PyFastLocalKind, as do combinations. */ +typedef unsigned char _PyLocalsPlusKind; +/* Note that these all fit within _PyLocalsPlusKind, as do combinations. */ // Later, we will use the smaller numbers to differentiate the different // kinds of locals (e.g. pos-only arg, varkwargs, local-only). #define CO_FAST_LOCAL 0x20 #define CO_FAST_CELL 0x40 #define CO_FAST_FREE 0x80 -typedef _PyFastLocalKind *_PyFastLocalKinds; +typedef _PyLocalsPlusKind *_PyLocalsPlusKinds; static inline int -_PyCode_InitFastLocalKinds(int num, _PyFastLocalKinds *pkinds) +_PyCode_InitLocalsPlusKinds(int num, _PyLocalsPlusKinds *pkinds) { if (num == 0) { *pkinds = NULL; return 0; } - _PyFastLocalKinds kinds = PyMem_NEW(_PyFastLocalKind, num); + _PyLocalsPlusKinds kinds = PyMem_NEW(_PyLocalsPlusKind, num); if (kinds == NULL) { PyErr_NoMemory(); return -1; @@ -54,7 +54,7 @@ _PyCode_InitFastLocalKinds(int num, _PyFastLocalKinds *pkinds) } static inline void -_PyCode_ClearFastLocalKinds(_PyFastLocalKinds kinds) +_PyCode_ClearLocalsPlusKinds(_PyLocalsPlusKinds kinds) { if (kinds != NULL) { PyMem_Free(kinds); @@ -77,8 +77,8 @@ struct _PyCodeConstructor { PyObject *names; /* mapping frame offsets to information */ - PyObject *fastlocalnames; - _PyFastLocalKinds fastlocalkinds; + PyObject *localsplusnames; + _PyLocalsPlusKinds localspluskinds; /* args (within varnames) */ int argcount; diff --git a/Lib/dis.py b/Lib/dis.py index d9ba6dfa05786a..2066e4313bd694 100644 --- a/Lib/dis.py +++ b/Lib/dis.py @@ -279,7 +279,7 @@ def get_instructions(x, *, first_line=None): else: line_offset = 0 return _get_instructions_bytes(co.co_code, - co._get_fastlocalnames(), co.co_nlocals, + co._get_localsplusnames(), co.co_nlocals, co.co_names, co.co_consts, linestarts, line_offset) @@ -336,7 +336,7 @@ def parse_exception_table(code): except StopIteration: return entries -def _get_instructions_bytes(code, fastlocalnames=None, nlocals=0, +def _get_instructions_bytes(code, localsplusnames=None, nlocals=0, names=None, constants=None, linestarts=None, line_offset=0, exception_entries=()): @@ -378,12 +378,12 @@ def _get_instructions_bytes(code, fastlocalnames=None, nlocals=0, argval = offset + 2 + arg*2 argrepr = "to " + repr(argval) elif op in haslocal: - argval, argrepr = _get_name_info(arg, fastlocalnames) + argval, argrepr = _get_name_info(arg, localsplusnames) elif op in hascompare: argval = cmp_op[arg] argrepr = argval elif op in hasfree: - argval, argrepr = _get_name_info(arg + nlocals, fastlocalnames) + argval, argrepr = _get_name_info(arg + nlocals, localsplusnames) elif op == FORMAT_VALUE: argval, argrepr = FORMAT_VALUE_CONVERTERS[arg & 0x3] argval = (argval, bool(arg & 0x4)) @@ -403,7 +403,7 @@ def disassemble(co, lasti=-1, *, file=None): linestarts = dict(findlinestarts(co)) exception_entries = parse_exception_table(co) _disassemble_bytes(co.co_code, lasti, - co._get_fastlocalnames(), co.co_nlocals, + co._get_localsplusnames(), co.co_nlocals, co.co_names, co.co_consts, linestarts, file=file, exception_entries=exception_entries) @@ -418,7 +418,7 @@ def _disassemble_recursive(co, *, file=None, depth=None): print("Disassembly of %r:" % (x,), file=file) _disassemble_recursive(x, file=file, depth=depth) -def _disassemble_bytes(code, lasti=-1, fastlocalnames=None, nlocals=0, +def _disassemble_bytes(code, lasti=-1, localsplusnames=None, nlocals=0, names=None, constants=None, linestarts=None, *, file=None, line_offset=0, exception_entries=()): # Omit the line number column entirely if we have no line number info @@ -436,7 +436,7 @@ def _disassemble_bytes(code, lasti=-1, fastlocalnames=None, nlocals=0, offset_width = len(str(maxoffset)) else: offset_width = 4 - for instr in _get_instructions_bytes(code, fastlocalnames, nlocals, names, + for instr in _get_instructions_bytes(code, localsplusnames, nlocals, names, constants, linestarts, line_offset=line_offset, exception_entries=exception_entries): new_source_line = (show_lineno and @@ -527,7 +527,7 @@ def __init__(self, x, *, first_line=None, current_offset=None): def __iter__(self): co = self.codeobj return _get_instructions_bytes(co.co_code, - co._get_fastlocalnames(), co.co_nlocals, + co._get_localsplusnames(), co.co_nlocals, co.co_names, co.co_consts, self._linestarts, line_offset=self._line_offset, @@ -557,7 +557,7 @@ def dis(self): offset = -1 with io.StringIO() as output: _disassemble_bytes(co.co_code, - fastlocalnames=co._get_fastlocalnames(), + localsplusnames=co._get_localsplusnames(), nlocals=co.co_nlocals, names=co.co_names, constants=co.co_consts, linestarts=self._linestarts, diff --git a/Objects/clinic/codeobject.c.h b/Objects/clinic/codeobject.c.h index 09a065a8ed7f3c..07eaf4996f92f8 100644 --- a/Objects/clinic/codeobject.c.h +++ b/Objects/clinic/codeobject.c.h @@ -374,8 +374,8 @@ code_replace(PyCodeObject *self, PyObject *const *args, Py_ssize_t nargs, PyObje return return_value; } -PyDoc_STRVAR(code__get_fastlocalnames__doc__, -"_get_fastlocalnames($self, /)\n" +PyDoc_STRVAR(code__get_localsplusnames__doc__, +"_get_localsplusnames($self, /)\n" "--\n" "\n" "(internal-only) Return the \"fast locals\" names tuple for the code object.\n" @@ -386,15 +386,15 @@ PyDoc_STRVAR(code__get_fastlocalnames__doc__, "indices in the frame\'s \"fast locals\" array. It is effectively the same\n" "as co_varnames + co_cellvars + co_freevars."); -#define CODE__GET_FASTLOCALNAMES_METHODDEF \ - {"_get_fastlocalnames", (PyCFunction)code__get_fastlocalnames, METH_NOARGS, code__get_fastlocalnames__doc__}, +#define CODE__GET_LOCALSPLUSNAMES_METHODDEF \ + {"_get_localsplusnames", (PyCFunction)code__get_localsplusnames, METH_NOARGS, code__get_localsplusnames__doc__}, static PyObject * -code__get_fastlocalnames_impl(PyCodeObject *self); +code__get_localsplusnames_impl(PyCodeObject *self); static PyObject * -code__get_fastlocalnames(PyCodeObject *self, PyObject *Py_UNUSED(ignored)) +code__get_localsplusnames(PyCodeObject *self, PyObject *Py_UNUSED(ignored)) { - return code__get_fastlocalnames_impl(self); + return code__get_localsplusnames_impl(self); } -/*[clinic end generated code: output=64b7f76e087bb6f6 input=a9049054013a1b77]*/ +/*[clinic end generated code: output=76ebaed2c2db0159 input=a9049054013a1b77]*/ diff --git a/Objects/codeobject.c b/Objects/codeobject.c index 606119b1542165..01c63cbd030cf5 100644 --- a/Objects/codeobject.c +++ b/Objects/codeobject.c @@ -156,8 +156,8 @@ validate_and_copy_tuple(PyObject *tup) // This is also used in compile.c. void -_Py_set_fastlocal_info(int offset, PyObject *name, _PyFastLocalKind kind, - PyObject *names, _PyFastLocalKinds kinds) +_Py_set_localsplus_info(int offset, PyObject *name, _PyLocalsPlusKind kind, + PyObject *names, _PyLocalsPlusKinds kinds) { Py_INCREF(name); PyTuple_SET_ITEM(names, offset, name); @@ -167,7 +167,7 @@ _Py_set_fastlocal_info(int offset, PyObject *name, _PyFastLocalKind kind, // Cells can overlap with args, so mark those cases. int nlocalsplus = (int)PyTuple_GET_SIZE(names); for (int i = 0; i < nlocalsplus; i++) { - _PyFastLocalKind kind = kinds[i]; + _PyLocalsPlusKind kind = kinds[i]; if (kind && !(kind & CO_FAST_LOCAL)) { // We've moved past the locals. break; @@ -184,16 +184,16 @@ _Py_set_fastlocal_info(int offset, PyObject *name, _PyFastLocalKind kind, } static void -get_fastlocals_counts(PyObject *names, _PyFastLocalKinds kinds, +get_localsplus_counts(PyObject *names, _PyLocalsPlusKinds kinds, int *pnlocals, int *pncellvars, int *pnfreevars) { int nlocals = 0; int ncellvars = 0; int nfreevars = 0; - int nfastlocals = Py_SAFE_DOWNCAST(PyTuple_GET_SIZE(names), + int nlocalsplus = Py_SAFE_DOWNCAST(PyTuple_GET_SIZE(names), Py_ssize_t, int); - for (int i = 0; i < nfastlocals; i++) { + for (int i = 0; i < nlocalsplus; i++) { if (kinds[i] & CO_FAST_LOCAL) { nlocals += 1; } @@ -216,7 +216,7 @@ get_fastlocals_counts(PyObject *names, _PyFastLocalKinds kinds, } static PyObject * -get_fastlocals_names(PyCodeObject *co, _PyFastLocalKind kind, int num) +get_localsplus_names(PyCodeObject *co, _PyLocalsPlusKind kind, int num) { PyObject *names = PyTuple_New(num); if (names == NULL) { @@ -224,15 +224,15 @@ get_fastlocals_names(PyCodeObject *co, _PyFastLocalKind kind, int num) } int index = 0; for (int offset = 0; offset < co->co_nlocalsplus; offset++) { - if ((co->co_fastlocalkinds[offset] & kind) == 0) { + if ((co->co_localspluskinds[offset] & kind) == 0) { continue; } // For now there may be duplicates, which we ignore. - if (kind == CO_FAST_CELL && co->co_fastlocalkinds[offset] != kind) { + if (kind == CO_FAST_CELL && co->co_localspluskinds[offset] != kind) { continue; } assert(index < num); - PyObject *name = PyTuple_GET_ITEM(co->co_fastlocalnames, offset); + PyObject *name = PyTuple_GET_ITEM(co->co_localsplusnames, offset); Py_INCREF(name); PyTuple_SET_ITEM(names, index, name); index += 1; @@ -251,9 +251,9 @@ _PyCode_Validate(struct _PyCodeConstructor *con) con->code == NULL || !PyBytes_Check(con->code) || con->consts == NULL || !PyTuple_Check(con->consts) || con->names == NULL || !PyTuple_Check(con->names) || - con->fastlocalnames == NULL || !PyTuple_Check(con->fastlocalnames) || - (PyTuple_GET_SIZE(con->fastlocalnames) && con->fastlocalkinds == NULL) || - (!PyTuple_GET_SIZE(con->fastlocalnames) && con->fastlocalkinds != NULL) || + con->localsplusnames == NULL || !PyTuple_Check(con->localsplusnames) || + (PyTuple_GET_SIZE(con->localsplusnames) && con->localspluskinds == NULL) || + (!PyTuple_GET_SIZE(con->localsplusnames) && con->localspluskinds != NULL) || con->name == NULL || !PyUnicode_Check(con->name) || con->filename == NULL || !PyUnicode_Check(con->filename) || con->linetable == NULL || !PyBytes_Check(con->linetable) || @@ -275,7 +275,7 @@ _PyCode_Validate(struct _PyCodeConstructor *con) * Note that totalargs = nlocals - nplainlocals. We check nplainlocals * here to avoid the possibility of overflow (however remote). */ int nlocals; - get_fastlocals_counts(con->fastlocalnames, con->fastlocalkinds, + get_localsplus_counts(con->localsplusnames, con->localspluskinds, &nlocals, NULL, NULL); int nplainlocals = nlocals - con->argcount - @@ -293,9 +293,9 @@ _PyCode_Validate(struct _PyCodeConstructor *con) static void init_code(PyCodeObject *co, struct _PyCodeConstructor *con) { - int nlocalsplus = (int)PyTuple_GET_SIZE(con->fastlocalnames); + int nlocalsplus = (int)PyTuple_GET_SIZE(con->localsplusnames); int nlocals, ncellvars, nfreevars; - get_fastlocals_counts(con->fastlocalnames, con->fastlocalkinds, + get_localsplus_counts(con->localsplusnames, con->localspluskinds, &nlocals, &ncellvars, &nfreevars); Py_INCREF(con->filename); @@ -315,10 +315,10 @@ init_code(PyCodeObject *co, struct _PyCodeConstructor *con) Py_INCREF(con->names); co->co_names = con->names; - Py_INCREF(con->fastlocalnames); - co->co_fastlocalnames = con->fastlocalnames; + Py_INCREF(con->localsplusnames); + co->co_localsplusnames = con->localsplusnames; // We take ownership of the kinds array. - co->co_fastlocalkinds = con->fastlocalkinds; + co->co_localspluskinds = con->localspluskinds; co->co_argcount = con->argcount; co->co_posonlyargcount = con->posonlyargcount; @@ -367,7 +367,7 @@ _PyCode_New(struct _PyCodeConstructor *con) if (intern_string_constants(con->consts, NULL) < 0) { return NULL; } - if (intern_strings(con->fastlocalnames) < 0) { + if (intern_strings(con->localsplusnames) < 0) { return NULL; } @@ -394,10 +394,10 @@ _PyCode_New(struct _PyCodeConstructor *con) assert(totalargs <= co->co_nlocals); /* Find cells which are also arguments. */ for (int i = 0; i < co->co_ncellvars; i++) { - PyObject *cellname = PyTuple_GET_ITEM(co->co_fastlocalnames, + PyObject *cellname = PyTuple_GET_ITEM(co->co_localsplusnames, i + co->co_nlocals); for (int j = 0; j < totalargs; j++) { - PyObject *argname = PyTuple_GET_ITEM(co->co_fastlocalnames, j); + PyObject *argname = PyTuple_GET_ITEM(co->co_localsplusnames, j); int cmp = PyUnicode_Compare(cellname, argname); if (cmp == -1 && PyErr_Occurred()) { Py_DECREF(co); @@ -440,8 +440,8 @@ PyCode_NewWithPosOnlyArgs(int argcount, int posonlyargcount, int kwonlyargcount, PyObject *linetable, PyObject *exceptiontable) { PyCodeObject *co = NULL; - PyObject *fastlocalnames = NULL; - _PyFastLocalKinds fastlocalkinds = NULL; + PyObject *localsplusnames = NULL; + _PyLocalsPlusKinds localspluskinds = NULL; if (varnames == NULL || !PyTuple_Check(varnames) || cellvars == NULL || !PyTuple_Check(cellvars) || @@ -456,28 +456,28 @@ PyCode_NewWithPosOnlyArgs(int argcount, int posonlyargcount, int kwonlyargcount, int ncellvars = (int)PyTuple_GET_SIZE(cellvars); int nfreevars = (int)PyTuple_GET_SIZE(freevars); int nlocalsplus = nvarnames + ncellvars + nfreevars; - fastlocalnames = PyTuple_New(nlocalsplus); - if (fastlocalnames == NULL) { + localsplusnames = PyTuple_New(nlocalsplus); + if (localsplusnames == NULL) { goto error; } - if (_PyCode_InitFastLocalKinds(nlocalsplus, &fastlocalkinds) < 0) { + if (_PyCode_InitLocalsPlusKinds(nlocalsplus, &localspluskinds) < 0) { goto error; } int offset = 0; for (int i = 0; i < nvarnames; i++, offset++) { PyObject *name = PyTuple_GET_ITEM(varnames, i); - _Py_set_fastlocal_info(offset, name, CO_FAST_LOCAL, - fastlocalnames, fastlocalkinds); + _Py_set_localsplus_info(offset, name, CO_FAST_LOCAL, + localsplusnames, localspluskinds); } for (int i = 0; i < ncellvars; i++, offset++) { PyObject *name = PyTuple_GET_ITEM(cellvars, i); - _Py_set_fastlocal_info(offset, name, CO_FAST_CELL, - fastlocalnames, fastlocalkinds); + _Py_set_localsplus_info(offset, name, CO_FAST_CELL, + localsplusnames, localspluskinds); } for (int i = 0; i < nfreevars; i++, offset++) { PyObject *name = PyTuple_GET_ITEM(freevars, i); - _Py_set_fastlocal_info(offset, name, CO_FAST_FREE, - fastlocalnames, fastlocalkinds); + _Py_set_localsplus_info(offset, name, CO_FAST_FREE, + localsplusnames, localspluskinds); } struct _PyCodeConstructor con = { @@ -492,8 +492,8 @@ PyCode_NewWithPosOnlyArgs(int argcount, int posonlyargcount, int kwonlyargcount, .consts = consts, .names = names, - .fastlocalnames = fastlocalnames, - .fastlocalkinds = fastlocalkinds, + .localsplusnames = localsplusnames, + .localspluskinds = localspluskinds, .argcount = argcount, .posonlyargcount = posonlyargcount, @@ -518,7 +518,7 @@ PyCode_NewWithPosOnlyArgs(int argcount, int posonlyargcount, int kwonlyargcount, goto error; } - fastlocalkinds = NULL; // This keeps it from getting freed below. + localspluskinds = NULL; // This keeps it from getting freed below. Py_INCREF(varnames); co->co_varnames = varnames; Py_INCREF(cellvars); @@ -527,8 +527,8 @@ PyCode_NewWithPosOnlyArgs(int argcount, int posonlyargcount, int kwonlyargcount, co->co_freevars = freevars; error: - Py_XDECREF(fastlocalnames); - _PyCode_ClearFastLocalKinds(fastlocalkinds); + Py_XDECREF(localsplusnames); + _PyCode_ClearLocalsPlusKinds(localspluskinds); return co; } @@ -580,7 +580,7 @@ PyCode_NewEmpty(const char *filename, const char *funcname, int firstlineno) .linetable = emptystring, .consts = nulltuple, .names = nulltuple, - .fastlocalnames = nulltuple, + .localsplusnames = nulltuple, .exceptiontable = emptystring, }; result = _PyCode_New(&con); @@ -1031,7 +1031,7 @@ PyObject * _PyCode_GetVarnames(PyCodeObject *co) { if (co->co_varnames == NULL) { - co->co_varnames = get_fastlocals_names(co, CO_FAST_LOCAL, + co->co_varnames = get_localsplus_names(co, CO_FAST_LOCAL, co->co_nlocals); if (co->co_varnames == NULL) { return NULL; @@ -1045,7 +1045,7 @@ PyObject * _PyCode_GetCellvars(PyCodeObject *co) { if (co->co_cellvars == NULL) { - co->co_cellvars = get_fastlocals_names(co, CO_FAST_CELL, + co->co_cellvars = get_localsplus_names(co, CO_FAST_CELL, co->co_ncellvars); if (co->co_cellvars == NULL) { return NULL; @@ -1059,7 +1059,7 @@ PyObject * _PyCode_GetFreevars(PyCodeObject *co) { if (co->co_freevars == NULL) { - co->co_freevars = get_fastlocals_names(co, CO_FAST_FREE, + co->co_freevars = get_localsplus_names(co, CO_FAST_FREE, co->co_nfreevars); if (co->co_freevars == NULL) { return NULL; @@ -1219,8 +1219,8 @@ code_dealloc(PyCodeObject *co) Py_XDECREF(co->co_code); Py_XDECREF(co->co_consts); Py_XDECREF(co->co_names); - Py_XDECREF(co->co_fastlocalnames); - _PyCode_ClearFastLocalKinds(co->co_fastlocalkinds); + Py_XDECREF(co->co_localsplusnames); + _PyCode_ClearLocalsPlusKinds(co->co_localspluskinds); Py_XDECREF(co->co_varnames); Py_XDECREF(co->co_freevars); Py_XDECREF(co->co_cellvars); @@ -1302,8 +1302,8 @@ code_richcompare(PyObject *self, PyObject *other, int op) eq = PyObject_RichCompareBool(co->co_names, cp->co_names, Py_EQ); if (eq <= 0) goto unequal; - eq = PyObject_RichCompareBool(co->co_fastlocalnames, - cp->co_fastlocalnames, Py_EQ); + eq = PyObject_RichCompareBool(co->co_localsplusnames, + cp->co_localsplusnames, Py_EQ); if (eq <= 0) goto unequal; if (op == Py_EQ) @@ -1337,7 +1337,7 @@ code_hash(PyCodeObject *co) if (h2 == -1) return -1; h3 = PyObject_Hash(co->co_names); if (h3 == -1) return -1; - h4 = PyObject_Hash(co->co_fastlocalnames); + h4 = PyObject_Hash(co->co_localsplusnames); if (h4 == -1) return -1; h = h0 ^ h1 ^ h2 ^ h3 ^ h4 ^ co->co_argcount ^ co->co_posonlyargcount ^ co->co_kwonlyargcount ^ @@ -1505,21 +1505,21 @@ code_replace_impl(PyCodeObject *self, int co_argcount, PyObject *cellvars = NULL; PyObject *freevars = NULL; if (co_varnames == NULL) { - varnames = get_fastlocals_names(self, CO_FAST_LOCAL, self->co_nlocals); + varnames = get_localsplus_names(self, CO_FAST_LOCAL, self->co_nlocals); if (varnames == NULL) { goto error; } co_varnames = varnames; } if (co_cellvars == NULL) { - cellvars = get_fastlocals_names(self, CO_FAST_CELL, self->co_ncellvars); + cellvars = get_localsplus_names(self, CO_FAST_CELL, self->co_ncellvars); if (cellvars == NULL) { goto error; } co_cellvars = cellvars; } if (co_freevars == NULL) { - freevars = get_fastlocals_names(self, CO_FAST_FREE, self->co_nfreevars); + freevars = get_localsplus_names(self, CO_FAST_FREE, self->co_nfreevars); if (freevars == NULL) { goto error; } @@ -1544,7 +1544,7 @@ code_replace_impl(PyCodeObject *self, int co_argcount, } /*[clinic input] -code._get_fastlocalnames +code._get_localsplusnames (internal-only) Return the "fast locals" names tuple for the code object. @@ -1556,11 +1556,11 @@ as co_varnames + co_cellvars + co_freevars. [clinic start generated code]*/ static PyObject * -code__get_fastlocalnames_impl(PyCodeObject *self) -/*[clinic end generated code: output=bd729980e307a1a0 input=16adacd478dd0459]*/ +code__get_localsplusnames_impl(PyCodeObject *self) +/*[clinic end generated code: output=1ba0ba2302737af6 input=4c57e413e404152b]*/ { - Py_INCREF(self->co_fastlocalnames); - return self->co_fastlocalnames; + Py_INCREF(self->co_localsplusnames); + return self->co_localsplusnames; } /* XXX code objects need to participate in GC? */ @@ -1569,7 +1569,7 @@ static struct PyMethodDef code_methods[] = { {"__sizeof__", (PyCFunction)code_sizeof, METH_NOARGS}, {"co_lines", (PyCFunction)code_linesiterator, METH_NOARGS}, CODE_REPLACE_METHODDEF - CODE__GET_FASTLOCALNAMES_METHODDEF + CODE__GET_LOCALSPLUSNAMES_METHODDEF {NULL, NULL} /* sentinel */ }; diff --git a/Objects/frameobject.c b/Objects/frameobject.c index 6e263edf18b42d..ef5ff4e6983546 100644 --- a/Objects/frameobject.c +++ b/Objects/frameobject.c @@ -660,9 +660,9 @@ frame_traverse(PyFrameObject *f, visitproc visit, void *arg) Py_VISIT(f->f_trace); /* locals */ - PyObject **fastlocals = f->f_localsptr; - for (Py_ssize_t i = frame_nslots(f); --i >= 0; ++fastlocals) { - Py_VISIT(*fastlocals); + PyObject **localsplus = f->f_localsptr; + for (Py_ssize_t i = frame_nslots(f); --i >= 0; ++localsplus) { + Py_VISIT(*localsplus); } /* stack */ @@ -685,9 +685,9 @@ frame_tp_clear(PyFrameObject *f) Py_CLEAR(f->f_trace); /* locals */ - PyObject **fastlocals = f->f_localsptr; - for (Py_ssize_t i = frame_nslots(f); --i >= 0; ++fastlocals) { - Py_CLEAR(*fastlocals); + PyObject **localsplus = f->f_localsptr; + for (Py_ssize_t i = frame_nslots(f); --i >= 0; ++localsplus) { + Py_CLEAR(*localsplus); } /* stack */ @@ -939,7 +939,7 @@ PyFrame_FastToLocalsWithError(PyFrameObject *f) co = f->f_code; fast = f->f_localsptr; for (int i = 0; i < co->co_nlocalsplus; i++) { - _PyFastLocalKind kind = co->co_fastlocalkinds[i]; + _PyLocalsPlusKind kind = co->co_localspluskinds[i]; /* If the namespace is unoptimized, then one of the following cases applies: @@ -965,7 +965,7 @@ PyFrame_FastToLocalsWithError(PyFrameObject *f) continue; } - PyObject *name = PyTuple_GET_ITEM(co->co_fastlocalnames, i); + PyObject *name = PyTuple_GET_ITEM(co->co_localsplusnames, i); PyObject *value = fast[i]; if (kind & (CO_FAST_CELL | CO_FAST_FREE) && value != NULL) { assert(PyCell_Check(value)); @@ -1020,7 +1020,7 @@ PyFrame_LocalsToFast(PyFrameObject *f, int clear) PyErr_Fetch(&error_type, &error_value, &error_traceback); for (int i = 0; i < co->co_nlocalsplus; i++) { - _PyFastLocalKind kind = co->co_fastlocalkinds[i]; + _PyLocalsPlusKind kind = co->co_localspluskinds[i]; /* Same test as in PyFrame_FastToLocals() above. */ if (kind & CO_FAST_FREE && !(co->co_flags & CO_OPTIMIZED)) { @@ -1030,7 +1030,7 @@ PyFrame_LocalsToFast(PyFrameObject *f, int clear) if (kind & CO_FAST_LOCAL && kind & CO_FAST_CELL) { continue; } - PyObject *name = PyTuple_GET_ITEM(co->co_fastlocalnames, i); + PyObject *name = PyTuple_GET_ITEM(co->co_localsplusnames, i); PyObject *value = PyObject_GetItem(locals, name); /* We only care about NULLs if clear is true. */ if (value == NULL) { diff --git a/Objects/typeobject.c b/Objects/typeobject.c index f89690ed630c27..bd2cade3bd68b4 100644 --- a/Objects/typeobject.c +++ b/Objects/typeobject.c @@ -8899,8 +8899,8 @@ super_init_without_args(PyFrameObject *f, PyCodeObject *co, PyTypeObject *type = NULL; i = co->co_nlocals + co->co_ncellvars; for (; i < co->co_nlocalsplus; i++) { - assert(co->co_fastlocalkinds[i] & CO_FAST_FREE); - PyObject *name = PyTuple_GET_ITEM(co->co_fastlocalnames, i); + assert(co->co_localspluskinds[i] & CO_FAST_FREE); + PyObject *name = PyTuple_GET_ITEM(co->co_localsplusnames, i); assert(PyUnicode_Check(name)); if (_PyUnicode_EqualToASCIIId(name, &PyId___class__)) { PyObject *cell = f->f_localsptr[i]; diff --git a/Python/ceval.c b/Python/ceval.c index ed1c6f82bd121a..4e16322daa5092 100644 --- a/Python/ceval.c +++ b/Python/ceval.c @@ -1438,7 +1438,7 @@ eval_frame_handle_pending(PyThreadState *tstate) /* Local variable macros */ -#define GETLOCAL(i) (fastlocals[i]) +#define GETLOCAL(i) (localsplus[i]) /* The SETLOCAL() macro must not DECREF the local variable in-place and then store the new value; it must copy the old value to a temporary @@ -1569,7 +1569,7 @@ _PyEval_EvalFrameDefault(PyThreadState *tstate, PyFrameObject *f, int throwflag) const _Py_CODEUNIT *next_instr; int opcode; /* Current opcode */ int oparg; /* Current opcode argument, if any */ - PyObject **fastlocals, **freevars, **specials; + PyObject **localsplus, **freevars, **specials; PyObject *retval = NULL; /* Return value */ _Py_atomic_int * const eval_breaker = &tstate->interp->ceval.eval_breaker; PyCodeObject *co; @@ -1646,7 +1646,7 @@ _PyEval_EvalFrameDefault(PyThreadState *tstate, PyFrameObject *f, int throwflag) names = co->co_names; consts = co->co_consts; - fastlocals = f->f_localsptr; + localsplus = f->f_localsptr; freevars = f->f_localsptr + co->co_nlocals; assert(PyBytes_Check(co->co_code)); assert(PyBytes_GET_SIZE(co->co_code) <= INT_MAX); @@ -1825,7 +1825,7 @@ _PyEval_EvalFrameDefault(PyThreadState *tstate, PyFrameObject *f, int throwflag) if (value == NULL) { format_exc_check_arg(tstate, PyExc_UnboundLocalError, UNBOUNDLOCAL_ERROR_MSG, - PyTuple_GetItem(co->co_fastlocalnames, + PyTuple_GetItem(co->co_localsplusnames, oparg)); goto error; } @@ -3054,7 +3054,7 @@ _PyEval_EvalFrameDefault(PyThreadState *tstate, PyFrameObject *f, int throwflag) format_exc_check_arg( tstate, PyExc_UnboundLocalError, UNBOUNDLOCAL_ERROR_MSG, - PyTuple_GetItem(co->co_fastlocalnames, oparg) + PyTuple_GetItem(co->co_localsplusnames, oparg) ); goto error; } @@ -3085,7 +3085,7 @@ _PyEval_EvalFrameDefault(PyThreadState *tstate, PyFrameObject *f, int throwflag) assert(oparg >= co->co_ncellvars); idx = oparg + co->co_nlocals; assert(idx < co->co_nlocalsplus); - name = PyTuple_GET_ITEM(co->co_fastlocalnames, idx); + name = PyTuple_GET_ITEM(co->co_localsplusnames, idx); if (PyDict_CheckExact(locals)) { value = PyDict_GetItemWithError(locals, name); if (value != NULL) { @@ -4637,7 +4637,7 @@ format_missing(PyThreadState *tstate, const char *kind, static void missing_arguments(PyThreadState *tstate, PyCodeObject *co, Py_ssize_t missing, Py_ssize_t defcount, - PyObject **fastlocals, PyObject *qualname) + PyObject **localsplus, PyObject *qualname) { Py_ssize_t i, j = 0; Py_ssize_t start, end; @@ -4659,7 +4659,7 @@ missing_arguments(PyThreadState *tstate, PyCodeObject *co, } for (i = start; i < end; i++) { if (GETLOCAL(i) == NULL) { - PyObject *raw = PyTuple_GET_ITEM(co->co_fastlocalnames, i); + PyObject *raw = PyTuple_GET_ITEM(co->co_localsplusnames, i); PyObject *name = PyObject_Repr(raw); if (name == NULL) { Py_DECREF(missing_names); @@ -4676,7 +4676,7 @@ missing_arguments(PyThreadState *tstate, PyCodeObject *co, static void too_many_positional(PyThreadState *tstate, PyCodeObject *co, Py_ssize_t given, PyObject *defaults, - PyObject **fastlocals, PyObject *qualname) + PyObject **localsplus, PyObject *qualname) { int plural; Py_ssize_t kwonly_given = 0; @@ -4740,7 +4740,7 @@ positional_only_passed_as_keyword(PyThreadState *tstate, PyCodeObject *co, PyObject* posonly_names = PyList_New(0); for(int k=0; k < co->co_posonlyargcount; k++){ - PyObject* posonly_name = PyTuple_GET_ITEM(co->co_fastlocalnames, k); + PyObject* posonly_name = PyTuple_GET_ITEM(co->co_localsplusnames, k); for (int k2=0; k2fc_code; const Py_ssize_t total_args = co->co_argcount + co->co_kwonlyargcount; - PyObject **freevars = fastlocals + co->co_nlocals; + PyObject **freevars = localsplus + co->co_nlocals; /* Create a dictionary for keyword parameters (**kwags) */ PyObject *kwdict; @@ -4942,7 +4942,7 @@ initialize_locals(PyThreadState *tstate, PyFrameConstructor *con, /* Speed hack: do raw pointer compares. As names are normally interned this should almost always hit. */ - co_varnames = ((PyTupleObject *)(co->co_fastlocalnames))->ob_item; + co_varnames = ((PyTupleObject *)(co->co_localsplusnames))->ob_item; for (j = co->co_posonlyargcount; j < total_args; j++) { PyObject *varname = co_varnames[j]; if (varname == keyword) { @@ -4998,7 +4998,7 @@ initialize_locals(PyThreadState *tstate, PyFrameConstructor *con, /* Check the number of positional arguments */ if ((argcount > co->co_argcount) && !(co->co_flags & CO_VARARGS)) { - too_many_positional(tstate, co, argcount, con->fc_defaults, fastlocals, + too_many_positional(tstate, co, argcount, con->fc_defaults, localsplus, con->fc_qualname); goto fail; } @@ -5014,7 +5014,7 @@ initialize_locals(PyThreadState *tstate, PyFrameConstructor *con, } } if (missing) { - missing_arguments(tstate, co, missing, defcount, fastlocals, + missing_arguments(tstate, co, missing, defcount, localsplus, con->fc_qualname); goto fail; } @@ -5040,7 +5040,7 @@ initialize_locals(PyThreadState *tstate, PyFrameConstructor *con, for (i = co->co_argcount; i < total_args; i++) { if (GETLOCAL(i) != NULL) continue; - PyObject *varname = PyTuple_GET_ITEM(co->co_fastlocalnames, i); + PyObject *varname = PyTuple_GET_ITEM(co->co_localsplusnames, i); if (con->fc_kwdefaults != NULL) { PyObject *def = PyDict_GetItemWithError(con->fc_kwdefaults, varname); if (def) { @@ -5055,7 +5055,7 @@ initialize_locals(PyThreadState *tstate, PyFrameConstructor *con, missing++; } if (missing) { - missing_arguments(tstate, co, missing, -1, fastlocals, + missing_arguments(tstate, co, missing, -1, localsplus, con->fc_qualname); goto fail; } @@ -6419,7 +6419,7 @@ format_exc_unbound(PyThreadState *tstate, PyCodeObject *co, int oparg) /* Don't stomp existing exception */ if (_PyErr_Occurred(tstate)) return; - name = PyTuple_GET_ITEM(co->co_fastlocalnames, oparg + co->co_nlocals); + name = PyTuple_GET_ITEM(co->co_localsplusnames, oparg + co->co_nlocals); if (oparg < co->co_ncellvars) { format_exc_check_arg(tstate, PyExc_UnboundLocalError, UNBOUNDLOCAL_ERROR_MSG, name); @@ -6465,7 +6465,7 @@ unicode_concatenate(PyThreadState *tstate, PyObject *v, PyObject *w, switch (opcode) { case STORE_FAST: { - PyObject **fastlocals = f->f_localsptr; + PyObject **localsplus = f->f_localsptr; if (GETLOCAL(oparg) == v) SETLOCAL(oparg, NULL); break; diff --git a/Python/compile.c b/Python/compile.c index aed5b8f9963d21..28b0894519f9ae 100644 --- a/Python/compile.c +++ b/Python/compile.c @@ -2056,7 +2056,7 @@ compiler_make_closure(struct compiler *c, PyCodeObject *co, Py_ssize_t flags, /* Bypass com_addop_varname because it will generate LOAD_DEREF but LOAD_CLOSURE is needed. */ - PyObject *name = PyTuple_GET_ITEM(co->co_fastlocalnames, i); + PyObject *name = PyTuple_GET_ITEM(co->co_localsplusnames, i); /* Special case: If a class contains a method with a free variable that has the same name as a method, @@ -7181,12 +7181,12 @@ merge_const_one(struct compiler *c, PyObject **obj) } // This is in codeobject.c. -extern void _Py_set_fastlocal_info(int, PyObject *, _PyFastLocalKind, - PyObject *, _PyFastLocalKinds); +extern void _Py_set_localsplus_info(int, PyObject *, _PyLocalsPlusKind, + PyObject *, _PyLocalsPlusKinds); static void -compute_fastlocals_info(struct compiler *c, - PyObject *names, _PyFastLocalKinds kinds) +compute_localsplus_info(struct compiler *c, + PyObject *names, _PyLocalsPlusKinds kinds) { int nlocalsplus = (int)PyTuple_GET_SIZE(names); @@ -7197,7 +7197,7 @@ compute_fastlocals_info(struct compiler *c, assert(offset >= 0); assert(offset < nlocalsplus); // For now we do not distinguish arg kinds. - _Py_set_fastlocal_info(offset, k, CO_FAST_LOCAL, names, kinds); + _Py_set_localsplus_info(offset, k, CO_FAST_LOCAL, names, kinds); } int nlocals = (int)PyDict_GET_SIZE(c->u->u_varnames); @@ -7207,7 +7207,7 @@ compute_fastlocals_info(struct compiler *c, assert(offset >= 0); offset += nlocals; assert(offset < nlocalsplus); - _Py_set_fastlocal_info(offset, k, CO_FAST_CELL, names, kinds); + _Py_set_localsplus_info(offset, k, CO_FAST_CELL, names, kinds); } pos = 0; @@ -7216,7 +7216,7 @@ compute_fastlocals_info(struct compiler *c, assert(offset >= 0); offset += nlocals; assert(offset < nlocalsplus); - _Py_set_fastlocal_info(offset, k, CO_FAST_FREE, names, kinds); + _Py_set_localsplus_info(offset, k, CO_FAST_FREE, names, kinds); } } @@ -7227,8 +7227,8 @@ makecode(struct compiler *c, struct assembler *a, PyObject *constslist, PyCodeObject *co = NULL; PyObject *names = NULL; PyObject *consts = NULL; - PyObject *fastlocalnames = NULL; - _PyFastLocalKinds fastlocalkinds = NULL; + PyObject *localsplusnames = NULL; + _PyLocalsPlusKinds localspluskinds = NULL; PyObject *name = NULL; int flags; int posorkeywordargcount, posonlyargcount, kwonlyargcount; @@ -7256,14 +7256,14 @@ makecode(struct compiler *c, struct assembler *a, PyObject *constslist, Py_ssize_t nlocalsplus = PyDict_GET_SIZE(c->u->u_varnames) + PyDict_GET_SIZE(c->u->u_cellvars) + PyDict_GET_SIZE(c->u->u_freevars); - fastlocalnames = PyTuple_New(nlocalsplus); - if (fastlocalnames == NULL) { + localsplusnames = PyTuple_New(nlocalsplus); + if (localsplusnames == NULL) { goto error; } - if (_PyCode_InitFastLocalKinds(nlocalsplus, &fastlocalkinds) < 0) { + if (_PyCode_InitLocalsPlusKinds(nlocalsplus, &localspluskinds) < 0) { goto error; } - compute_fastlocals_info(c, fastlocalnames, fastlocalkinds); + compute_localsplus_info(c, localsplusnames, localspluskinds); posonlyargcount = Py_SAFE_DOWNCAST(c->u->u_posonlyargcount, Py_ssize_t, int); posorkeywordargcount = Py_SAFE_DOWNCAST(c->u->u_argcount, Py_ssize_t, int); @@ -7280,8 +7280,8 @@ makecode(struct compiler *c, struct assembler *a, PyObject *constslist, .consts = consts, .names = names, - .fastlocalnames = fastlocalnames, - .fastlocalkinds = fastlocalkinds, + .localsplusnames = localsplusnames, + .localspluskinds = localspluskinds, .argcount = posonlyargcount + posorkeywordargcount, .posonlyargcount = posonlyargcount, @@ -7296,24 +7296,24 @@ makecode(struct compiler *c, struct assembler *a, PyObject *constslist, goto error; } - if (!merge_const_one(c, &fastlocalnames)) { - _PyCode_ClearFastLocalKinds(con.fastlocalkinds); + if (!merge_const_one(c, &localsplusnames)) { + _PyCode_ClearLocalsPlusKinds(con.localspluskinds); goto error; } - con.fastlocalnames = fastlocalnames; + con.localsplusnames = localsplusnames; co = _PyCode_New(&con); if (co == NULL) { goto error; } - fastlocalkinds = NULL; // This keeps it from getting freed below. + localspluskinds = NULL; // This keeps it from getting freed below. error: Py_XDECREF(names); Py_XDECREF(consts); - Py_XDECREF(fastlocalnames); - _PyCode_ClearFastLocalKinds(fastlocalkinds); + Py_XDECREF(localsplusnames); + _PyCode_ClearLocalsPlusKinds(localspluskinds); Py_XDECREF(name); return co; } diff --git a/Python/marshal.c b/Python/marshal.c index 205f1c9d5c8e4a..80517b3d65d41a 100644 --- a/Python/marshal.c +++ b/Python/marshal.c @@ -518,8 +518,8 @@ w_complex_object(PyObject *v, char flag, WFILE *p) w_object(co->co_code, p); w_object(co->co_consts, p); w_object(co->co_names, p); - w_object(co->co_fastlocalnames, p); - w_string(co->co_fastlocalkinds, co->co_nlocalsplus, p); + w_object(co->co_localsplusnames, p); + w_string(co->co_localspluskinds, co->co_nlocalsplus, p); w_object(co->co_filename, p); w_object(co->co_name, p); w_long(co->co_firstlineno, p); @@ -1305,8 +1305,8 @@ r_object(RFILE *p) PyObject *code = NULL; PyObject *consts = NULL; PyObject *names = NULL; - PyObject *fastlocalnames = NULL; - _PyFastLocalKinds fastlocalkinds = NULL; + PyObject *localsplusnames = NULL; + _PyLocalsPlusKinds localspluskinds = NULL; PyObject *filename = NULL; PyObject *name = NULL; int firstlineno; @@ -1345,19 +1345,19 @@ r_object(RFILE *p) names = r_object(p); if (names == NULL) goto code_error; - fastlocalnames = r_object(p); - if (fastlocalnames == NULL) + localsplusnames = r_object(p); + if (localsplusnames == NULL) goto code_error; - assert(PyTuple_GET_SIZE(fastlocalnames) < INT_MAX); - int nlocalsplus = (int)PyTuple_GET_SIZE(fastlocalnames); + assert(PyTuple_GET_SIZE(localsplusnames) < INT_MAX); + int nlocalsplus = (int)PyTuple_GET_SIZE(localsplusnames); if (nlocalsplus) { - if (_PyCode_InitFastLocalKinds(nlocalsplus, - &fastlocalkinds) < 0) { + if (_PyCode_InitLocalsPlusKinds(nlocalsplus, + &localspluskinds) < 0) { goto code_error; } for (int i = 0; i < nlocalsplus; i++) { - fastlocalkinds[i] = r_byte(p); + localspluskinds[i] = r_byte(p); } } @@ -1396,8 +1396,8 @@ r_object(RFILE *p) .consts = consts, .names = names, - .fastlocalnames = fastlocalnames, - .fastlocalkinds = fastlocalkinds, + .localsplusnames = localsplusnames, + .localspluskinds = localspluskinds, .argcount = argcount, .posonlyargcount = posonlyargcount, @@ -1417,7 +1417,7 @@ r_object(RFILE *p) goto code_error; } - fastlocalkinds = NULL; // This keeps it from getting freed below. + localspluskinds = NULL; // This keeps it from getting freed below. v = r_ref_insert(v, idx, flag, p); @@ -1425,8 +1425,8 @@ r_object(RFILE *p) Py_XDECREF(code); Py_XDECREF(consts); Py_XDECREF(names); - Py_XDECREF(fastlocalnames); - _PyCode_ClearFastLocalKinds(fastlocalkinds); + Py_XDECREF(localsplusnames); + _PyCode_ClearLocalsPlusKinds(localspluskinds); Py_XDECREF(filename); Py_XDECREF(name); Py_XDECREF(linetable); diff --git a/Python/suggestions.c b/Python/suggestions.c index 3dca4cd014fbf3..43c0ef09cb4bbc 100644 --- a/Python/suggestions.c +++ b/Python/suggestions.c @@ -211,7 +211,7 @@ offer_suggestions_for_name_error(PyNameErrorObject *exc) PyFrameObject *frame = traceback->tb_frame; assert(frame != NULL); PyCodeObject *code = PyFrame_GetCode(frame); - assert(code != NULL && code->co_fastlocalnames != NULL); + assert(code != NULL && code->co_localsplusnames != NULL); PyObject *varnames = _PyCode_GetVarnames(code); if (varnames == NULL) { return NULL; From 13fe60de9c151cb3675dbab81ae921b845e170db Mon Sep 17 00:00:00 2001 From: Eric Snow Date: Wed, 2 Jun 2021 10:02:41 -0600 Subject: [PATCH 27/31] Add a note about "locals plus" and variable kinds. --- Include/internal/pycore_code.h | 16 ++++++++++++++++ 1 file changed, 16 insertions(+) diff --git a/Include/internal/pycore_code.h b/Include/internal/pycore_code.h index c556023e8ce3ef..bd17e7ca44ae15 100644 --- a/Include/internal/pycore_code.h +++ b/Include/internal/pycore_code.h @@ -26,6 +26,22 @@ struct _PyOpcache { }; +/* "Locals plus" for a code object is the set of locals + cell vars + + * free vars. This relates to variable names as well as offsets into + * the "fast locals" storage array of execution frames. The compiler + * builds the list of names, their offsets, and the corresponding + * kind of local. + * + * Those kinds represent the source of the initial value and the + * variable's scope (as related to closures). A "local" is an + * argument or other variable defined in the current scope. A "free" + * variable is one that is defined in an outer scope and comes from + * the function's closure. A "cell" variable is a local that escapes + * into an inner function as part of a closure, and thus must be + * wrapped in a cell. Any "local" can also be a "cell", but the + * "free" kind is mutually exclusive with both. + */ + // We would use an enum if C let us specify the storage type. typedef unsigned char _PyLocalsPlusKind; /* Note that these all fit within _PyLocalsPlusKind, as do combinations. */ From fba56f5aebaf653653e0dfe64fc57996aac570c8 Mon Sep 17 00:00:00 2001 From: Eric Snow Date: Wed, 2 Jun 2021 11:18:03 -0600 Subject: [PATCH 28/31] co._get_localsplusnames() -> co._varname_from_oparg() --- Lib/dis.py | 29 ++++++++++---------- Objects/clinic/codeobject.c.h | 51 +++++++++++++++++++++++++---------- Objects/codeobject.c | 29 ++++++++++++-------- 3 files changed, 70 insertions(+), 39 deletions(-) diff --git a/Lib/dis.py b/Lib/dis.py index 2066e4313bd694..dfadad79d2dfd1 100644 --- a/Lib/dis.py +++ b/Lib/dis.py @@ -279,7 +279,7 @@ def get_instructions(x, *, first_line=None): else: line_offset = 0 return _get_instructions_bytes(co.co_code, - co._get_localsplusnames(), co.co_nlocals, + co._varname_from_oparg, co.co_names, co.co_consts, linestarts, line_offset) @@ -295,7 +295,7 @@ def _get_const_info(const_index, const_list): argval = const_list[const_index] return argval, repr(argval) -def _get_name_info(name_index, name_list): +def _get_name_info(name_index, get_name, **extrainfo): """Helper to get optional details about named references Returns the dereferenced name as both value and repr if the name @@ -303,8 +303,8 @@ def _get_name_info(name_index, name_list): Otherwise returns the name index and its repr(). """ argval = name_index - if name_list is not None: - argval = name_list[name_index] + if get_name is not None: + argval = get_name(name_index, **extrainfo) argrepr = argval else: argrepr = repr(argval) @@ -336,7 +336,7 @@ def parse_exception_table(code): except StopIteration: return entries -def _get_instructions_bytes(code, localsplusnames=None, nlocals=0, +def _get_instructions_bytes(code, varname_from_oparg=None, names=None, constants=None, linestarts=None, line_offset=0, exception_entries=()): @@ -348,6 +348,7 @@ def _get_instructions_bytes(code, localsplusnames=None, nlocals=0, arguments. """ + get_name = None if names is None else names.__getitem__ labels = set(findlabels(code)) for start, end, target, _, _ in exception_entries: for i in range(start, end): @@ -370,7 +371,7 @@ def _get_instructions_bytes(code, localsplusnames=None, nlocals=0, if op in hasconst: argval, argrepr = _get_const_info(arg, constants) elif op in hasname: - argval, argrepr = _get_name_info(arg, names) + argval, argrepr = _get_name_info(arg, get_name) elif op in hasjabs: argval = arg*2 argrepr = "to " + repr(argval) @@ -378,12 +379,13 @@ def _get_instructions_bytes(code, localsplusnames=None, nlocals=0, argval = offset + 2 + arg*2 argrepr = "to " + repr(argval) elif op in haslocal: - argval, argrepr = _get_name_info(arg, localsplusnames) + argval, argrepr = _get_name_info(arg, varname_from_oparg) elif op in hascompare: argval = cmp_op[arg] argrepr = argval elif op in hasfree: - argval, argrepr = _get_name_info(arg + nlocals, localsplusnames) + argval, argrepr = _get_name_info(arg, varname_from_oparg, + cell=True) elif op == FORMAT_VALUE: argval, argrepr = FORMAT_VALUE_CONVERTERS[arg & 0x3] argval = (argval, bool(arg & 0x4)) @@ -403,7 +405,7 @@ def disassemble(co, lasti=-1, *, file=None): linestarts = dict(findlinestarts(co)) exception_entries = parse_exception_table(co) _disassemble_bytes(co.co_code, lasti, - co._get_localsplusnames(), co.co_nlocals, + co._varname_from_oparg, co.co_names, co.co_consts, linestarts, file=file, exception_entries=exception_entries) @@ -418,7 +420,7 @@ def _disassemble_recursive(co, *, file=None, depth=None): print("Disassembly of %r:" % (x,), file=file) _disassemble_recursive(x, file=file, depth=depth) -def _disassemble_bytes(code, lasti=-1, localsplusnames=None, nlocals=0, +def _disassemble_bytes(code, lasti=-1, varname_from_oparg=None, names=None, constants=None, linestarts=None, *, file=None, line_offset=0, exception_entries=()): # Omit the line number column entirely if we have no line number info @@ -436,7 +438,7 @@ def _disassemble_bytes(code, lasti=-1, localsplusnames=None, nlocals=0, offset_width = len(str(maxoffset)) else: offset_width = 4 - for instr in _get_instructions_bytes(code, localsplusnames, nlocals, names, + for instr in _get_instructions_bytes(code, varname_from_oparg, names, constants, linestarts, line_offset=line_offset, exception_entries=exception_entries): new_source_line = (show_lineno and @@ -527,7 +529,7 @@ def __init__(self, x, *, first_line=None, current_offset=None): def __iter__(self): co = self.codeobj return _get_instructions_bytes(co.co_code, - co._get_localsplusnames(), co.co_nlocals, + co._varname_from_oparg, co.co_names, co.co_consts, self._linestarts, line_offset=self._line_offset, @@ -557,8 +559,7 @@ def dis(self): offset = -1 with io.StringIO() as output: _disassemble_bytes(co.co_code, - localsplusnames=co._get_localsplusnames(), - nlocals=co.co_nlocals, + varname_from_oparg=co._varname_from_oparg, names=co.co_names, constants=co.co_consts, linestarts=self._linestarts, line_offset=self._line_offset, diff --git a/Objects/clinic/codeobject.c.h b/Objects/clinic/codeobject.c.h index 07eaf4996f92f8..629d26580c6fe3 100644 --- a/Objects/clinic/codeobject.c.h +++ b/Objects/clinic/codeobject.c.h @@ -374,27 +374,50 @@ code_replace(PyCodeObject *self, PyObject *const *args, Py_ssize_t nargs, PyObje return return_value; } -PyDoc_STRVAR(code__get_localsplusnames__doc__, -"_get_localsplusnames($self, /)\n" +PyDoc_STRVAR(code__varname_from_oparg__doc__, +"_varname_from_oparg($self, /, oparg, *, cell=False)\n" "--\n" "\n" -"(internal-only) Return the \"fast locals\" names tuple for the code object.\n" +"(internal-only) Return the local variable name for the given oparg.\n" "\n" -"WARNING: this method is for internal use only and may change or go away.\n" -"\n" -"This is the combined list of variable names mapped to the corresponding\n" -"indices in the frame\'s \"fast locals\" array. It is effectively the same\n" -"as co_varnames + co_cellvars + co_freevars."); +"WARNING: this method is for internal use only and may change or go away."); -#define CODE__GET_LOCALSPLUSNAMES_METHODDEF \ - {"_get_localsplusnames", (PyCFunction)code__get_localsplusnames, METH_NOARGS, code__get_localsplusnames__doc__}, +#define CODE__VARNAME_FROM_OPARG_METHODDEF \ + {"_varname_from_oparg", (PyCFunction)(void(*)(void))code__varname_from_oparg, METH_FASTCALL|METH_KEYWORDS, code__varname_from_oparg__doc__}, static PyObject * -code__get_localsplusnames_impl(PyCodeObject *self); +code__varname_from_oparg_impl(PyCodeObject *self, int oparg, int cell); static PyObject * -code__get_localsplusnames(PyCodeObject *self, PyObject *Py_UNUSED(ignored)) +code__varname_from_oparg(PyCodeObject *self, PyObject *const *args, Py_ssize_t nargs, PyObject *kwnames) { - return code__get_localsplusnames_impl(self); + PyObject *return_value = NULL; + static const char * const _keywords[] = {"oparg", "cell", NULL}; + static _PyArg_Parser _parser = {NULL, _keywords, "_varname_from_oparg", 0}; + PyObject *argsbuf[2]; + Py_ssize_t noptargs = nargs + (kwnames ? PyTuple_GET_SIZE(kwnames) : 0) - 1; + int oparg; + int cell = 0; + + args = _PyArg_UnpackKeywords(args, nargs, NULL, kwnames, &_parser, 1, 1, 0, argsbuf); + if (!args) { + goto exit; + } + oparg = _PyLong_AsInt(args[0]); + if (oparg == -1 && PyErr_Occurred()) { + goto exit; + } + if (!noptargs) { + goto skip_optional_kwonly; + } + cell = PyObject_IsTrue(args[1]); + if (cell < 0) { + goto exit; + } +skip_optional_kwonly: + return_value = code__varname_from_oparg_impl(self, oparg, cell); + +exit: + return return_value; } -/*[clinic end generated code: output=76ebaed2c2db0159 input=a9049054013a1b77]*/ +/*[clinic end generated code: output=43f4eef80d584fe0 input=a9049054013a1b77]*/ diff --git a/Objects/codeobject.c b/Objects/codeobject.c index 01c63cbd030cf5..051aefece334fd 100644 --- a/Objects/codeobject.c +++ b/Objects/codeobject.c @@ -1544,23 +1544,30 @@ code_replace_impl(PyCodeObject *self, int co_argcount, } /*[clinic input] -code._get_localsplusnames +code._varname_from_oparg -(internal-only) Return the "fast locals" names tuple for the code object. + oparg: int + * + cell: bool = False -WARNING: this method is for internal use only and may change or go away. +(internal-only) Return the local variable name for the given oparg. -This is the combined list of variable names mapped to the corresponding -indices in the frame's "fast locals" array. It is effectively the same -as co_varnames + co_cellvars + co_freevars. +WARNING: this method is for internal use only and may change or go away. [clinic start generated code]*/ static PyObject * -code__get_localsplusnames_impl(PyCodeObject *self) -/*[clinic end generated code: output=1ba0ba2302737af6 input=4c57e413e404152b]*/ +code__varname_from_oparg_impl(PyCodeObject *self, int oparg, int cell) +/*[clinic end generated code: output=c7d39c9723692c8f input=2945bb291d3a3118]*/ { - Py_INCREF(self->co_localsplusnames); - return self->co_localsplusnames; + if (cell) { + oparg += self->co_nlocals; + } + PyObject *name = PyTuple_GetItem(self->co_localsplusnames, oparg); + if (name == NULL) { + return NULL; + } + Py_INCREF(name); + return name; } /* XXX code objects need to participate in GC? */ @@ -1569,7 +1576,7 @@ static struct PyMethodDef code_methods[] = { {"__sizeof__", (PyCFunction)code_sizeof, METH_NOARGS}, {"co_lines", (PyCFunction)code_linesiterator, METH_NOARGS}, CODE_REPLACE_METHODDEF - CODE__GET_LOCALSPLUSNAMES_METHODDEF + CODE__VARNAME_FROM_OPARG_METHODDEF {NULL, NULL} /* sentinel */ }; From 68c7776da90bee76f4654ebb5bd501cd9dee9af6 Mon Sep 17 00:00:00 2001 From: Eric Snow Date: Wed, 2 Jun 2021 12:39:23 -0600 Subject: [PATCH 29/31] Fix the gdb hooks. --- Tools/gdb/libpython.py | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/Tools/gdb/libpython.py b/Tools/gdb/libpython.py index d8f3017bcfbb19..756b52c3c57a61 100755 --- a/Tools/gdb/libpython.py +++ b/Tools/gdb/libpython.py @@ -871,8 +871,8 @@ def __init__(self, gdbval, cast_to=None): self.f_lineno = int_from_int(self.field('f_lineno')) self.f_lasti = int_from_int(self.field('f_lasti')) self.co_nlocals = int_from_int(self.co.field('co_nlocals')) - pnames = self.co.field('co_fastlocalnames') - self.co_fastlocalnames = PyTupleObjectPtr.from_pyobject_ptr(pnames) + pnames = self.co.field('co_localsplusnames') + self.co_localsplusnames = PyTupleObjectPtr.from_pyobject_ptr(pnames) def iter_locals(self): ''' @@ -887,7 +887,7 @@ def iter_locals(self): pyop_value = PyObjectPtr.from_pyobject_ptr(f_localsplus[i]) if pyop_value.is_null(): continue - pyop_name = PyObjectPtr.from_pyobject_ptr(self.co_fastlocalnames[i]) + pyop_name = PyObjectPtr.from_pyobject_ptr(self.co_localsplusnames[i]) yield (pyop_name, pyop_value) def _f_globals(self): From e10e7da2f93b7b07f33df8531cfb57e80bb9120d Mon Sep 17 00:00:00 2001 From: Eric Snow Date: Thu, 3 Jun 2021 09:31:18 -0600 Subject: [PATCH 30/31] Be more strict about types. --- Python/compile.c | 32 +++++++++++++++++++++----------- 1 file changed, 21 insertions(+), 11 deletions(-) diff --git a/Python/compile.c b/Python/compile.c index 28b0894519f9ae..b0c9f3c4d561c9 100644 --- a/Python/compile.c +++ b/Python/compile.c @@ -7230,8 +7230,6 @@ makecode(struct compiler *c, struct assembler *a, PyObject *constslist, PyObject *localsplusnames = NULL; _PyLocalsPlusKinds localspluskinds = NULL; PyObject *name = NULL; - int flags; - int posorkeywordargcount, posonlyargcount, kwonlyargcount; names = dict_keys_inorder(c->u->u_names, 0); if (!names) { @@ -7241,9 +7239,10 @@ makecode(struct compiler *c, struct assembler *a, PyObject *constslist, goto error; } - flags = compute_code_flags(c); - if (flags < 0) + int flags = compute_code_flags(c); + if (flags < 0) { goto error; + } consts = PyList_AsTuple(constslist); /* PyCode_New requires a tuple */ if (consts == NULL) { @@ -7253,9 +7252,23 @@ makecode(struct compiler *c, struct assembler *a, PyObject *constslist, goto error; } - Py_ssize_t nlocalsplus = PyDict_GET_SIZE(c->u->u_varnames) + - PyDict_GET_SIZE(c->u->u_cellvars) + - PyDict_GET_SIZE(c->u->u_freevars); + assert(c->u->u_posonlyargcount < INT_MAX); + assert(c->u->u_argcount < INT_MAX); + assert(c->u->u_kwonlyargcount < INT_MAX); + int posonlyargcount = (int)c->u->u_posonlyargcount; + int posorkwargcount = (int)c->u->u_argcount; + assert(INT_MAX - posonlyargcount - posorkwargcount > 0); + int kwonlyargcount = (int)c->u->u_kwonlyargcount; + + Py_ssize_t nlocals = PyDict_GET_SIZE(c->u->u_varnames); + Py_ssize_t ncellvars = PyDict_GET_SIZE(c->u->u_cellvars); + Py_ssize_t nfreevars = PyDict_GET_SIZE(c->u->u_freevars); + assert(nlocals < INT_MAX); + assert(ncellvars < INT_MAX); + assert(nfreevars < INT_MAX); + assert(INT_MAX - nlocals - ncellvars - nfreevars > 0); + int nlocalsplus = (int)nlocals + (int)ncellvars + (int)nfreevars; + localsplusnames = PyTuple_New(nlocalsplus); if (localsplusnames == NULL) { goto error; @@ -7265,9 +7278,6 @@ makecode(struct compiler *c, struct assembler *a, PyObject *constslist, } compute_localsplus_info(c, localsplusnames, localspluskinds); - posonlyargcount = Py_SAFE_DOWNCAST(c->u->u_posonlyargcount, Py_ssize_t, int); - posorkeywordargcount = Py_SAFE_DOWNCAST(c->u->u_argcount, Py_ssize_t, int); - kwonlyargcount = Py_SAFE_DOWNCAST(c->u->u_kwonlyargcount, Py_ssize_t, int); struct _PyCodeConstructor con = { .filename = c->c_filename, .name = c->u->u_name, @@ -7283,7 +7293,7 @@ makecode(struct compiler *c, struct assembler *a, PyObject *constslist, .localsplusnames = localsplusnames, .localspluskinds = localspluskinds, - .argcount = posonlyargcount + posorkeywordargcount, + .argcount = posonlyargcount + posorkwargcount, .posonlyargcount = posonlyargcount, .kwonlyargcount = kwonlyargcount, From 87cb1926a0e0a48490c653006c98fb3aa507e64c Mon Sep 17 00:00:00 2001 From: Eric Snow Date: Thu, 3 Jun 2021 09:32:55 -0600 Subject: [PATCH 31/31] Add a TODO about "_PyCodeConstructor.argcount". --- Include/internal/pycore_code.h | 1 + 1 file changed, 1 insertion(+) diff --git a/Include/internal/pycore_code.h b/Include/internal/pycore_code.h index bd17e7ca44ae15..95b4730701350a 100644 --- a/Include/internal/pycore_code.h +++ b/Include/internal/pycore_code.h @@ -99,6 +99,7 @@ struct _PyCodeConstructor { /* args (within varnames) */ int argcount; int posonlyargcount; + // XXX Replace argcount with posorkwargcount (argcount - posonlyargcount). int kwonlyargcount; /* needed to create the frame */