828 lines
40 KiB
Python
828 lines
40 KiB
Python
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#!/usr/bin/env python
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# -*- coding: utf-8 -*-
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# __coconut_hash__ = 0x19941e50
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# Compiled with Coconut version 1.4.3 [Ernest Scribbler]
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# Coconut Header: -------------------------------------------------------------
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from __future__ import print_function, absolute_import, unicode_literals, division
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import sys as _coconut_sys
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if _coconut_sys.version_info < (3,):
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from __builtin__ import chr, filter, hex, input, int, map, object, oct, open, print, range, str, zip, filter, reversed, enumerate, raw_input, xrange
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py_chr, py_hex, py_input, py_int, py_map, py_object, py_oct, py_open, py_print, py_range, py_str, py_zip, py_filter, py_reversed, py_enumerate, py_raw_input, py_xrange, py_repr = chr, hex, input, int, map, object, oct, open, print, range, str, zip, filter, reversed, enumerate, raw_input, xrange, repr
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_coconut_NotImplemented, _coconut_raw_input, _coconut_xrange, _coconut_int, _coconut_long, _coconut_print, _coconut_str, _coconut_unicode, _coconut_repr = NotImplemented, raw_input, xrange, int, long, print, str, unicode, repr
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from future_builtins import *
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chr, str = unichr, unicode
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from io import open
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class object(object):
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__slots__ = ()
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def __ne__(self, other):
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eq = self == other
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if eq is _coconut_NotImplemented:
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return eq
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return not eq
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class int(_coconut_int):
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__slots__ = ()
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if hasattr(_coconut_int, "__doc__"):
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__doc__ = _coconut_int.__doc__
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class __metaclass__(type):
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def __instancecheck__(cls, inst):
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return _coconut.isinstance(inst, (_coconut_int, _coconut_long))
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def __subclasscheck__(cls, subcls):
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return _coconut.issubclass(subcls, (_coconut_int, _coconut_long))
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class range(object):
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__slots__ = ("_xrange",)
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if hasattr(_coconut_xrange, "__doc__"):
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__doc__ = _coconut_xrange.__doc__
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def __init__(self, *args):
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self._xrange = _coconut_xrange(*args)
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def __iter__(self):
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return _coconut.iter(self._xrange)
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def __reversed__(self):
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return _coconut.reversed(self._xrange)
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def __len__(self):
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return _coconut.len(self._xrange)
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def __contains__(self, elem):
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return elem in self._xrange
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def __getitem__(self, index):
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if _coconut.isinstance(index, _coconut.slice):
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args = _coconut.slice(*self._args)
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start, stop, step, ind_step = (args.start if args.start is not None else 0), args.stop, (args.step if args.step is not None else 1), (index.step if index.step is not None else 1)
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return self.__class__((start if ind_step >= 0 else stop - step) if index.start is None else start + step * index.start if index.start >= 0 else stop + step * index.start, (stop if ind_step >= 0 else start - step) if index.stop is None else start + step * index.stop if index.stop >= 0 else stop + step * index.stop, step if index.step is None else step * index.step)
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else:
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return self._xrange[index]
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def count(self, elem):
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"""Count the number of times elem appears in the range."""
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return _coconut_int(elem in self._xrange)
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def index(self, elem):
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"""Find the index of elem in the range."""
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if elem not in self._xrange: raise _coconut.ValueError(_coconut.repr(elem) + " is not in range")
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start, _, step = self._xrange.__reduce_ex__(2)[1]
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return (elem - start) // step
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def __repr__(self):
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return _coconut.repr(self._xrange)[1:]
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@property
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def _args(self):
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return self._xrange.__reduce__()[1]
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def __reduce_ex__(self, protocol):
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return (self.__class__, self._xrange.__reduce_ex__(protocol)[1])
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def __reduce__(self):
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return self.__reduce_ex__(_coconut.pickle.DEFAULT_PROTOCOL)
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def __hash__(self):
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return _coconut.hash(self._args)
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def __copy__(self):
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return self.__class__(*self._args)
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def __eq__(self, other):
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return _coconut.isinstance(other, self.__class__) and self._args == other._args
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from collections import Sequence as _coconut_Sequence
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_coconut_Sequence.register(range)
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from functools import wraps as _coconut_wraps
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@_coconut_wraps(_coconut_print)
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def print(*args, **kwargs):
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file = kwargs.get("file", _coconut_sys.stdout)
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flush = kwargs.get("flush", False)
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if "flush" in kwargs:
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del kwargs["flush"]
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if _coconut.hasattr(file, "encoding") and file.encoding is not None:
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_coconut_print(*(_coconut_unicode(x).encode(file.encoding) for x in args), **kwargs)
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else:
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_coconut_print(*(_coconut_unicode(x).encode() for x in args), **kwargs)
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if flush:
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file.flush()
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@_coconut_wraps(_coconut_raw_input)
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def input(*args, **kwargs):
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if _coconut.hasattr(_coconut_sys.stdout, "encoding") and _coconut_sys.stdout.encoding is not None:
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return _coconut_raw_input(*args, **kwargs).decode(_coconut_sys.stdout.encoding)
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return _coconut_raw_input(*args, **kwargs).decode()
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@_coconut_wraps(_coconut_repr)
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def repr(obj):
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if isinstance(obj, _coconut_unicode):
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return _coconut_unicode(_coconut_repr(obj)[1:])
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if isinstance(obj, _coconut_str):
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return "b" + _coconut_unicode(_coconut_repr(obj))
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return _coconut_unicode(_coconut_repr(obj))
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ascii = repr
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def raw_input(*args):
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"""Coconut uses Python 3 "input" instead of Python 2 "raw_input"."""
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raise _coconut.NameError('Coconut uses Python 3 "input" instead of Python 2 "raw_input"')
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def xrange(*args):
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"""Coconut uses Python 3 "range" instead of Python 2 "xrange"."""
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raise _coconut.NameError('Coconut uses Python 3 "range" instead of Python 2 "xrange"')
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if _coconut_sys.version_info < (2, 7):
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import functools as _coconut_functools, copy_reg as _coconut_copy_reg
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def _coconut_new_partial(func, args, keywords):
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return _coconut_functools.partial(func, *(args if args is not None else ()), **(keywords if keywords is not None else {}))
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_coconut_copy_reg.constructor(_coconut_new_partial)
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def _coconut_reduce_partial(self):
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return (_coconut_new_partial, (self.func, self.args, self.keywords))
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_coconut_copy_reg.pickle(_coconut_functools.partial, _coconut_reduce_partial)
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else:
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from builtins import chr, filter, hex, input, int, map, object, oct, open, print, range, str, zip, filter, reversed, enumerate
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py_chr, py_hex, py_input, py_int, py_map, py_object, py_oct, py_open, py_print, py_range, py_str, py_zip, py_filter, py_reversed, py_enumerate, py_repr = chr, hex, input, int, map, object, oct, open, print, range, str, zip, filter, reversed, enumerate, repr
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_coconut_str = str
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class _coconut(object):
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import collections, copy, functools, types, itertools, operator, threading, weakref, os, warnings
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if _coconut_sys.version_info < (3, 2):
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try:
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from backports.functools_lru_cache import lru_cache
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functools.lru_cache = lru_cache
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except ImportError: pass
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if _coconut_sys.version_info < (3,):
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import cPickle as pickle
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else:
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import pickle
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if _coconut_sys.version_info >= (2, 7):
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OrderedDict = collections.OrderedDict
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else:
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OrderedDict = dict
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if _coconut_sys.version_info < (3, 3):
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abc = collections
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else:
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import collections.abc as abc
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class typing(object):
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@staticmethod
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def NamedTuple(name, fields):
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return _coconut.collections.namedtuple(name, [x for x, t in fields])
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Ellipsis, Exception, AttributeError, ImportError, IndexError, KeyError, NameError, TypeError, ValueError, StopIteration, classmethod, dict, enumerate, filter, float, frozenset, getattr, hasattr, hash, id, int, isinstance, issubclass, iter, len, list, locals, map, min, max, next, object, property, range, reversed, set, slice, str, sum, super, tuple, type, zip, repr, bytearray = Ellipsis, Exception, AttributeError, ImportError, IndexError, KeyError, NameError, TypeError, ValueError, StopIteration, classmethod, dict, enumerate, filter, float, frozenset, getattr, hasattr, hash, id, int, isinstance, issubclass, iter, len, list, locals, map, min, max, next, object, property, range, reversed, set, slice, str, sum, super, tuple, type, zip, staticmethod(repr), bytearray
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_coconut_sentinel = _coconut.object()
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class MatchError(Exception):
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"""Pattern-matching error. Has attributes .pattern and .value."""
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__slots__ = ("pattern", "value")
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class _coconut_tail_call(object):
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__slots__ = ("func", "args", "kwargs")
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def __init__(self, func, *args, **kwargs):
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self.func, self.args, self.kwargs = func, args, kwargs
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_coconut_tco_func_dict = {}
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def _coconut_tco(func):
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@_coconut.functools.wraps(func)
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def tail_call_optimized_func(*args, **kwargs):
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call_func = func
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while True:
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wkref = _coconut_tco_func_dict.get(_coconut.id(call_func))
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if (wkref is not None and wkref() is call_func) or _coconut.isinstance(call_func, _coconut_base_pattern_func):
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call_func = call_func._coconut_tco_func
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result = call_func(*args, **kwargs) # pass --no-tco to clean up your traceback
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if not isinstance(result, _coconut_tail_call):
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return result
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call_func, args, kwargs = result.func, result.args, result.kwargs
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tail_call_optimized_func._coconut_tco_func = func
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tail_call_optimized_func.__module__ = _coconut.getattr(func, "__module__", None)
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tail_call_optimized_func.__name__ = _coconut.getattr(func, "__name__", "<coconut tco function (pass --no-tco to remove)>")
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tail_call_optimized_func.__qualname__ = _coconut.getattr(func, "__qualname__", tail_call_optimized_func.__name__)
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_coconut_tco_func_dict[_coconut.id(tail_call_optimized_func)] = _coconut.weakref.ref(tail_call_optimized_func)
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return tail_call_optimized_func
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def _coconut_igetitem(iterable, index):
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if isinstance(iterable, (_coconut_reversed, _coconut_map, _coconut.zip, _coconut_enumerate, _coconut_count, _coconut.abc.Sequence)):
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return iterable[index]
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if not _coconut.isinstance(index, _coconut.slice):
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if index < 0:
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return _coconut.collections.deque(iterable, maxlen=-index)[0]
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return _coconut.next(_coconut.itertools.islice(iterable, index, index + 1))
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if index.start is not None and index.start < 0 and (index.stop is None or index.stop < 0) and index.step is None:
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queue = _coconut.collections.deque(iterable, maxlen=-index.start)
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if index.stop is not None:
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queue = _coconut.list(queue)[:index.stop - index.start]
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return queue
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if (index.start is not None and index.start < 0) or (index.stop is not None and index.stop < 0) or (index.step is not None and index.step < 0):
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return _coconut.list(iterable)[index]
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return _coconut.itertools.islice(iterable, index.start, index.stop, index.step)
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class _coconut_base_compose(object):
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__slots__ = ("func", "funcstars")
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def __init__(self, func, *funcstars):
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self.func = func
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self.funcstars = []
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for f, stars in funcstars:
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if _coconut.isinstance(f, _coconut_base_compose):
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self.funcstars.append((f.func, stars))
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self.funcstars += f.funcstars
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else:
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self.funcstars.append((f, stars))
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def __call__(self, *args, **kwargs):
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arg = self.func(*args, **kwargs)
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for f, stars in self.funcstars:
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if stars == 0:
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arg = f(arg)
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elif stars == 1:
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arg = f(*arg)
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elif stars == 2:
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arg = f(**arg)
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else:
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raise _coconut.ValueError("invalid arguments to " + _coconut.repr(self))
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return arg
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def __repr__(self):
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return _coconut.repr(self.func) + " " + " ".join(("..*> " if star == 1 else "..**>" if star == 2 else "..> ") + _coconut.repr(f) for f, star in self.funcstars)
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def __reduce__(self):
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return (self.__class__, (self.func,) + _coconut.tuple(self.funcstars))
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def __get__(self, obj, objtype=None):
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return _coconut.functools.partial(self, obj)
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def _coconut_forward_compose(func, *funcs): return _coconut_base_compose(func, *((f, 0) for f in funcs))
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def _coconut_back_compose(*funcs): return _coconut_forward_compose(*_coconut.reversed(funcs))
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def _coconut_forward_star_compose(func, *funcs): return _coconut_base_compose(func, *((f, 1) for f in funcs))
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def _coconut_back_star_compose(*funcs): return _coconut_forward_star_compose(*_coconut.reversed(funcs))
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def _coconut_forward_dubstar_compose(func, *funcs): return _coconut_base_compose(func, *((f, 2) for f in funcs))
|
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def _coconut_back_dubstar_compose(*funcs): return _coconut_forward_dubstar_compose(*_coconut.reversed(funcs))
|
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def _coconut_pipe(x, f): return f(x)
|
||
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def _coconut_star_pipe(xs, f): return f(*xs)
|
||
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def _coconut_dubstar_pipe(kws, f): return f(**kws)
|
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def _coconut_back_pipe(f, x): return f(x)
|
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def _coconut_back_star_pipe(f, xs): return f(*xs)
|
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def _coconut_back_dubstar_pipe(f, kws): return f(**kws)
|
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|
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def _coconut_assert(cond, msg=None): assert cond, msg if msg is not None else "(assert) got falsey value " + _coconut.repr(cond)
|
||
|
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def _coconut_bool_and(a, b): return a and b
|
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def _coconut_bool_or(a, b): return a or b
|
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|
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def _coconut_none_coalesce(a, b): return a if a is not None else b
|
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|
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def _coconut_minus(a, *rest):
|
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if not rest:
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return -a
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for b in rest:
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a = a - b
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return a
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||
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@_coconut.functools.wraps(_coconut.itertools.tee)
|
||
|
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def tee(iterable, n=2):
|
||
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if n >= 0 and _coconut.isinstance(iterable, (_coconut.tuple, _coconut.frozenset)):
|
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|
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return (iterable,) * n
|
||
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if n > 0 and (_coconut.hasattr(iterable, "__copy__") or _coconut.isinstance(iterable, _coconut.abc.Sequence)):
|
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return (iterable,) + _coconut.tuple(_coconut.copy.copy(iterable) for _ in _coconut.range(n - 1))
|
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return _coconut.itertools.tee(iterable, n)
|
||
|
|
class reiterable(object):
|
||
|
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"""Allows an iterator to be iterated over multiple times."""
|
||
|
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__slots__ = ("iter",)
|
||
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def __init__(self, iterable):
|
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self.iter = iterable
|
||
|
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def _get_new_iter(self):
|
||
|
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self.iter, new_iter = _coconut_tee(self.iter)
|
||
|
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return new_iter
|
||
|
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def __iter__(self):
|
||
|
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return _coconut.iter(self._get_new_iter())
|
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|
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def __getitem__(self, index):
|
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|
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return _coconut_igetitem(self._get_new_iter(), index)
|
||
|
|
def __reversed__(self):
|
||
|
|
return _coconut_reversed(self._get_new_iter())
|
||
|
|
def __len__(self):
|
||
|
|
return _coconut.len(self.iter)
|
||
|
|
def __repr__(self):
|
||
|
|
return "reiterable(%r)" % (self.iter,)
|
||
|
|
def __reduce__(self):
|
||
|
|
return (self.__class__, (self.iter,))
|
||
|
|
def __copy__(self):
|
||
|
|
return self.__class__(self._get_new_iter())
|
||
|
|
def __fmap__(self, func):
|
||
|
|
return _coconut_map(func, self)
|
||
|
|
class scan(object):
|
||
|
|
"""Reduce func over iterable, yielding intermediate results,
|
||
|
|
optionally starting from initializer."""
|
||
|
|
__slots__ = ("func", "iter", "initializer")
|
||
|
|
def __init__(self, function, iterable, initializer=_coconut_sentinel):
|
||
|
|
self.func = function
|
||
|
|
self.iter = iterable
|
||
|
|
self.initializer = initializer
|
||
|
|
def __iter__(self):
|
||
|
|
acc = self.initializer
|
||
|
|
if acc is not _coconut_sentinel:
|
||
|
|
yield acc
|
||
|
|
for item in self.iter:
|
||
|
|
if acc is _coconut_sentinel:
|
||
|
|
acc = item
|
||
|
|
else:
|
||
|
|
acc = self.func(acc, item)
|
||
|
|
yield acc
|
||
|
|
def __len__(self):
|
||
|
|
return _coconut.len(self.iter)
|
||
|
|
def __repr__(self):
|
||
|
|
return "scan(%r, %r)" % (self.func, self.iter)
|
||
|
|
def __reduce__(self):
|
||
|
|
return (self.__class__, (self.func, self.iter))
|
||
|
|
def __copy__(self):
|
||
|
|
return self.__class__(self.func, _coconut.copy.copy(self.iter))
|
||
|
|
def __fmap__(self, func):
|
||
|
|
return _coconut_map(func, self)
|
||
|
|
class reversed(object):
|
||
|
|
__slots__ = ("iter",)
|
||
|
|
if hasattr(_coconut.map, "__doc__"):
|
||
|
|
__doc__ = _coconut.reversed.__doc__
|
||
|
|
def __new__(cls, iterable):
|
||
|
|
if _coconut.isinstance(iterable, _coconut.range):
|
||
|
|
return iterable[::-1]
|
||
|
|
if not _coconut.hasattr(iterable, "__reversed__") or _coconut.isinstance(iterable, (_coconut.list, _coconut.tuple)):
|
||
|
|
return _coconut.object.__new__(cls)
|
||
|
|
return _coconut.reversed(iterable)
|
||
|
|
def __init__(self, iterable):
|
||
|
|
self.iter = iterable
|
||
|
|
def __iter__(self):
|
||
|
|
return _coconut.iter(_coconut.reversed(self.iter))
|
||
|
|
def __getitem__(self, index):
|
||
|
|
if _coconut.isinstance(index, _coconut.slice):
|
||
|
|
return _coconut_igetitem(self.iter, _coconut.slice(-(index.start + 1) if index.start is not None else None, -(index.stop + 1) if index.stop else None, -(index.step if index.step is not None else 1)))
|
||
|
|
return _coconut_igetitem(self.iter, -(index + 1))
|
||
|
|
def __reversed__(self):
|
||
|
|
return self.iter
|
||
|
|
def __len__(self):
|
||
|
|
return _coconut.len(self.iter)
|
||
|
|
def __repr__(self):
|
||
|
|
return "reversed(%r)" % (self.iter,)
|
||
|
|
def __hash__(self):
|
||
|
|
return -_coconut.hash(self.iter)
|
||
|
|
def __reduce__(self):
|
||
|
|
return (self.__class__, (self.iter,))
|
||
|
|
def __copy__(self):
|
||
|
|
return self.__class__(_coconut.copy.copy(self.iter))
|
||
|
|
def __eq__(self, other):
|
||
|
|
return isinstance(other, self.__class__) and self.iter == other.iter
|
||
|
|
def __contains__(self, elem):
|
||
|
|
return elem in self.iter
|
||
|
|
def count(self, elem):
|
||
|
|
"""Count the number of times elem appears in the reversed iterator."""
|
||
|
|
return self.iter.count(elem)
|
||
|
|
def index(self, elem):
|
||
|
|
"""Find the index of elem in the reversed iterator."""
|
||
|
|
return _coconut.len(self.iter) - self.iter.index(elem) - 1
|
||
|
|
def __fmap__(self, func):
|
||
|
|
return self.__class__(_coconut_map(func, self.iter))
|
||
|
|
class map(_coconut.map):
|
||
|
|
__slots__ = ("func", "iters")
|
||
|
|
if hasattr(_coconut.map, "__doc__"):
|
||
|
|
__doc__ = _coconut.map.__doc__
|
||
|
|
def __new__(cls, function, *iterables):
|
||
|
|
new_map = _coconut.map.__new__(cls, function, *iterables)
|
||
|
|
new_map.func = function
|
||
|
|
new_map.iters = iterables
|
||
|
|
return new_map
|
||
|
|
def __getitem__(self, index):
|
||
|
|
if _coconut.isinstance(index, _coconut.slice):
|
||
|
|
return self.__class__(self.func, *(_coconut_igetitem(i, index) for i in self.iters))
|
||
|
|
return self.func(*(_coconut_igetitem(i, index) for i in self.iters))
|
||
|
|
def __reversed__(self):
|
||
|
|
return self.__class__(self.func, *(_coconut_reversed(i) for i in self.iters))
|
||
|
|
def __len__(self):
|
||
|
|
return _coconut.min(_coconut.len(i) for i in self.iters)
|
||
|
|
def __repr__(self):
|
||
|
|
return "map(%r, %s)" % (self.func, ", ".join((_coconut.repr(i) for i in self.iters)))
|
||
|
|
def __reduce__(self):
|
||
|
|
return (self.__class__, (self.func,) + self.iters)
|
||
|
|
def __reduce_ex__(self, _):
|
||
|
|
return self.__reduce__()
|
||
|
|
def __copy__(self):
|
||
|
|
return self.__class__(self.func, *_coconut.map(_coconut.copy.copy, self.iters))
|
||
|
|
def __fmap__(self, func):
|
||
|
|
return self.__class__(_coconut_forward_compose(self.func, func), *self.iters)
|
||
|
|
class parallel_map(map):
|
||
|
|
"""Multi-process implementation of map using concurrent.futures.
|
||
|
|
Requires arguments to be pickleable."""
|
||
|
|
__slots__ = ()
|
||
|
|
def __iter__(self):
|
||
|
|
from concurrent.futures import ProcessPoolExecutor
|
||
|
|
with ProcessPoolExecutor() as executor:
|
||
|
|
return _coconut.iter(_coconut.list(executor.map(self.func, *self.iters)))
|
||
|
|
def __repr__(self):
|
||
|
|
return "parallel_" + _coconut_map.__repr__(self)
|
||
|
|
class concurrent_map(map):
|
||
|
|
"""Multi-thread implementation of map using concurrent.futures."""
|
||
|
|
__slots__ = ()
|
||
|
|
def __iter__(self):
|
||
|
|
from concurrent.futures import ThreadPoolExecutor
|
||
|
|
from multiprocessing import cpu_count # cpu_count() * 5 is the default Python 3.5 thread count
|
||
|
|
with ThreadPoolExecutor(cpu_count() * 5) as executor:
|
||
|
|
return _coconut.iter(_coconut.list(executor.map(self.func, *self.iters)))
|
||
|
|
def __repr__(self):
|
||
|
|
return "concurrent_" + _coconut_map.__repr__(self)
|
||
|
|
class filter(_coconut.filter):
|
||
|
|
__slots__ = ("func", "iter")
|
||
|
|
if hasattr(_coconut.filter, "__doc__"):
|
||
|
|
__doc__ = _coconut.filter.__doc__
|
||
|
|
def __new__(cls, function, iterable):
|
||
|
|
new_filter = _coconut.filter.__new__(cls, function, iterable)
|
||
|
|
new_filter.func = function
|
||
|
|
new_filter.iter = iterable
|
||
|
|
return new_filter
|
||
|
|
def __reversed__(self):
|
||
|
|
return self.__class__(self.func, _coconut_reversed(self.iter))
|
||
|
|
def __repr__(self):
|
||
|
|
return "filter(%r, %r)" % (self.func, self.iter)
|
||
|
|
def __reduce__(self):
|
||
|
|
return (self.__class__, (self.func, self.iter))
|
||
|
|
def __reduce_ex__(self, _):
|
||
|
|
return self.__reduce__()
|
||
|
|
def __copy__(self):
|
||
|
|
return self.__class__(self.func, _coconut.copy.copy(self.iter))
|
||
|
|
def __fmap__(self, func):
|
||
|
|
return _coconut_map(func, self)
|
||
|
|
class zip(_coconut.zip):
|
||
|
|
__slots__ = ("iters",)
|
||
|
|
if hasattr(_coconut.zip, "__doc__"):
|
||
|
|
__doc__ = _coconut.zip.__doc__
|
||
|
|
def __new__(cls, *iterables):
|
||
|
|
new_zip = _coconut.zip.__new__(cls, *iterables)
|
||
|
|
new_zip.iters = iterables
|
||
|
|
return new_zip
|
||
|
|
def __getitem__(self, index):
|
||
|
|
if _coconut.isinstance(index, _coconut.slice):
|
||
|
|
return self.__class__(*(_coconut_igetitem(i, index) for i in self.iters))
|
||
|
|
return _coconut.tuple(_coconut_igetitem(i, index) for i in self.iters)
|
||
|
|
def __reversed__(self):
|
||
|
|
return self.__class__(*(_coconut_reversed(i) for i in self.iters))
|
||
|
|
def __len__(self):
|
||
|
|
return _coconut.min(_coconut.len(i) for i in self.iters)
|
||
|
|
def __repr__(self):
|
||
|
|
return "zip(%s)" % (", ".join((_coconut.repr(i) for i in self.iters)),)
|
||
|
|
def __reduce__(self):
|
||
|
|
return (self.__class__, self.iters)
|
||
|
|
def __reduce_ex__(self, _):
|
||
|
|
return self.__reduce__()
|
||
|
|
def __copy__(self):
|
||
|
|
return self.__class__(*_coconut.map(_coconut.copy.copy, self.iters))
|
||
|
|
def __fmap__(self, func):
|
||
|
|
return _coconut_map(func, self)
|
||
|
|
class enumerate(_coconut.enumerate):
|
||
|
|
__slots__ = ("iter", "start")
|
||
|
|
if hasattr(_coconut.enumerate, "__doc__"):
|
||
|
|
__doc__ = _coconut.enumerate.__doc__
|
||
|
|
def __new__(cls, iterable, start=0):
|
||
|
|
new_enumerate = _coconut.enumerate.__new__(cls, iterable, start)
|
||
|
|
new_enumerate.iter = iterable
|
||
|
|
new_enumerate.start = start
|
||
|
|
return new_enumerate
|
||
|
|
def __getitem__(self, index):
|
||
|
|
if _coconut.isinstance(index, _coconut.slice):
|
||
|
|
return self.__class__(_coconut_igetitem(self.iter, index), self.start + (0 if index.start is None else index.start if index.start >= 0 else len(self.iter) + index.start))
|
||
|
|
return (self.start + index, _coconut_igetitem(self.iter, index))
|
||
|
|
def __len__(self):
|
||
|
|
return _coconut.len(self.iter)
|
||
|
|
def __repr__(self):
|
||
|
|
return "enumerate(%r, %r)" % (self.iter, self.start)
|
||
|
|
def __reduce__(self):
|
||
|
|
return (self.__class__, (self.iter, self.start))
|
||
|
|
def __reduce_ex__(self, _):
|
||
|
|
return self.__reduce__()
|
||
|
|
def __copy__(self):
|
||
|
|
return self.__class__(_coconut.copy.copy(self.iter), self.start)
|
||
|
|
def __fmap__(self, func):
|
||
|
|
return _coconut_map(func, self)
|
||
|
|
class count(object):
|
||
|
|
"""count(start, step) returns an infinite iterator starting at start and increasing by step.
|
||
|
|
If step is set to 0, count will infinitely repeat its first argument."""
|
||
|
|
__slots__ = ("start", "step")
|
||
|
|
def __init__(self, start=0, step=1):
|
||
|
|
self.start = start
|
||
|
|
self.step = step
|
||
|
|
def __iter__(self):
|
||
|
|
while True:
|
||
|
|
yield self.start
|
||
|
|
if self.step:
|
||
|
|
self.start += self.step
|
||
|
|
def __contains__(self, elem):
|
||
|
|
if not self.step:
|
||
|
|
return elem == self.start
|
||
|
|
if elem < self.start:
|
||
|
|
return False
|
||
|
|
return (elem - self.start) % self.step == 0
|
||
|
|
def __getitem__(self, index):
|
||
|
|
if _coconut.isinstance(index, _coconut.slice) and (index.start is None or index.start >= 0) and (index.stop is None or index.stop >= 0):
|
||
|
|
new_start, new_step = self.start, self.step
|
||
|
|
if self.step and index.start is not None:
|
||
|
|
new_start += self.step * index.start
|
||
|
|
if self.step and index.step is not None:
|
||
|
|
new_step *= index.step
|
||
|
|
if index.stop is None:
|
||
|
|
return self.__class__(new_start, new_step)
|
||
|
|
if self.step and _coconut.isinstance(self.start, _coconut.int) and _coconut.isinstance(self.step, _coconut.int):
|
||
|
|
return _coconut.range(new_start, self.start + self.step * index.stop, new_step)
|
||
|
|
return _coconut_map(self.__getitem__, _coconut.range(index.start if index.start is not None else 0, index.stop, index.step if index.step is not None else 1))
|
||
|
|
if index < 0:
|
||
|
|
raise _coconut.IndexError("count indices must be positive")
|
||
|
|
return self.start + self.step * index if self.step else self.start
|
||
|
|
def count(self, elem):
|
||
|
|
"""Count the number of times elem appears in the count."""
|
||
|
|
if not self.step:
|
||
|
|
return _coconut.float("inf") if elem == self.start else 0
|
||
|
|
return int(elem in self)
|
||
|
|
def index(self, elem):
|
||
|
|
"""Find the index of elem in the count."""
|
||
|
|
if elem not in self:
|
||
|
|
raise _coconut.ValueError(_coconut.repr(elem) + " not in " + _coconut.repr(self))
|
||
|
|
return (elem - self.start) // self.step if self.step else 0
|
||
|
|
def __reversed__(self):
|
||
|
|
if not self.step:
|
||
|
|
return self
|
||
|
|
raise _coconut.TypeError(repr(self) + " object is not reversible")
|
||
|
|
def __repr__(self):
|
||
|
|
return "count(%r, %r)" % (self.start, self.step)
|
||
|
|
def __hash__(self):
|
||
|
|
return _coconut.hash((self.start, self.step))
|
||
|
|
def __reduce__(self):
|
||
|
|
return (self.__class__, (self.start, self.step))
|
||
|
|
def __copy__(self):
|
||
|
|
return self.__class__(self.start, self.step)
|
||
|
|
def __eq__(self, other):
|
||
|
|
return isinstance(other, self.__class__) and self.start == other.start and self.step == other.step
|
||
|
|
def __fmap__(self, func):
|
||
|
|
return _coconut_map(func, self)
|
||
|
|
class groupsof(object):
|
||
|
|
"""groupsof(n, iterable) splits iterable into groups of size n.
|
||
|
|
If the length of the iterable is not divisible by n, the last group may be of size < n."""
|
||
|
|
__slots__ = ("group_size", "iter")
|
||
|
|
def __init__(self, n, iterable):
|
||
|
|
self.iter = iterable
|
||
|
|
try:
|
||
|
|
self.group_size = _coconut.int(n)
|
||
|
|
except _coconut.ValueError:
|
||
|
|
raise _coconut.TypeError("group size must be an int; not %r" % (n,))
|
||
|
|
if self.group_size <= 0:
|
||
|
|
raise _coconut.ValueError("group size must be > 0; not %r" % (self.group_size,))
|
||
|
|
def __iter__(self):
|
||
|
|
iterator = _coconut.iter(self.iter)
|
||
|
|
loop = True
|
||
|
|
while loop:
|
||
|
|
group = []
|
||
|
|
for _ in _coconut.range(self.group_size):
|
||
|
|
try:
|
||
|
|
group.append(_coconut.next(iterator))
|
||
|
|
except _coconut.StopIteration:
|
||
|
|
loop = False
|
||
|
|
break
|
||
|
|
if group:
|
||
|
|
yield _coconut.tuple(group)
|
||
|
|
def __len__(self):
|
||
|
|
return _coconut.len(self.iter)
|
||
|
|
def __repr__(self):
|
||
|
|
return "groupsof(%r)" % (self.iter,)
|
||
|
|
def __reduce__(self):
|
||
|
|
return (self.__class__, (self.group_size, self.iter))
|
||
|
|
def __copy__(self):
|
||
|
|
return self.__class__(self.group_size, _coconut.copy.copy(self.iter))
|
||
|
|
def __fmap__(self, func):
|
||
|
|
return _coconut_map(func, self)
|
||
|
|
class recursive_iterator(object):
|
||
|
|
"""Decorator that optimizes a function for iterator recursion."""
|
||
|
|
__slots__ = ("func", "tee_store", "backup_tee_store")
|
||
|
|
def __init__(self, func):
|
||
|
|
self.func = func
|
||
|
|
self.tee_store = {}
|
||
|
|
self.backup_tee_store = []
|
||
|
|
def __call__(self, *args, **kwargs):
|
||
|
|
key = (args, _coconut.frozenset(kwargs))
|
||
|
|
use_backup = False
|
||
|
|
try:
|
||
|
|
hash(key)
|
||
|
|
except _coconut.Exception:
|
||
|
|
try:
|
||
|
|
key = _coconut.pickle.dumps(key, -1)
|
||
|
|
except _coconut.Exception:
|
||
|
|
use_backup = True
|
||
|
|
if use_backup:
|
||
|
|
for i, (k, v) in _coconut.enumerate(self.backup_tee_store):
|
||
|
|
if k == key:
|
||
|
|
to_tee, store_pos = v, i
|
||
|
|
break
|
||
|
|
else: # no break
|
||
|
|
to_tee = self.func(*args, **kwargs)
|
||
|
|
store_pos = None
|
||
|
|
to_store, to_return = _coconut_tee(to_tee)
|
||
|
|
if store_pos is None:
|
||
|
|
self.backup_tee_store.append([key, to_store])
|
||
|
|
else:
|
||
|
|
self.backup_tee_store[store_pos][1] = to_store
|
||
|
|
else:
|
||
|
|
self.tee_store[key], to_return = _coconut_tee(self.tee_store.get(key) or self.func(*args, **kwargs))
|
||
|
|
return to_return
|
||
|
|
def __repr__(self):
|
||
|
|
return "@recursive_iterator(" + _coconut.repr(self.func) + ")"
|
||
|
|
def __reduce__(self):
|
||
|
|
return (self.__class__, (self.func,))
|
||
|
|
def __get__(self, obj, objtype=None):
|
||
|
|
return _coconut.functools.partial(self, obj)
|
||
|
|
class _coconut_FunctionMatchErrorContext(object):
|
||
|
|
__slots__ = ('exc_class', 'taken')
|
||
|
|
threadlocal_var = _coconut.threading.local()
|
||
|
|
def __init__(self, exc_class):
|
||
|
|
self.exc_class = exc_class
|
||
|
|
self.taken = False
|
||
|
|
def __enter__(self):
|
||
|
|
try:
|
||
|
|
self.threadlocal_var.contexts.append(self)
|
||
|
|
except _coconut.AttributeError:
|
||
|
|
self.threadlocal_var.contexts = [self]
|
||
|
|
def __exit__(self, type, value, traceback):
|
||
|
|
self.threadlocal_var.contexts.pop()
|
||
|
|
@classmethod
|
||
|
|
def get(cls):
|
||
|
|
try:
|
||
|
|
ctx = cls.threadlocal_var.contexts[-1]
|
||
|
|
except (_coconut.AttributeError, _coconut.IndexError):
|
||
|
|
return _coconut_MatchError
|
||
|
|
if not ctx.taken:
|
||
|
|
ctx.taken = True
|
||
|
|
return ctx.exc_class
|
||
|
|
return _coconut_MatchError
|
||
|
|
_coconut_get_function_match_error = _coconut_FunctionMatchErrorContext.get
|
||
|
|
class _coconut_base_pattern_func(object):
|
||
|
|
__slots__ = ("FunctionMatchError", "__doc__", "patterns")
|
||
|
|
_coconut_is_match = True
|
||
|
|
def __init__(self, *funcs):
|
||
|
|
self.FunctionMatchError = _coconut.type(_coconut_str("MatchError"), (_coconut_MatchError,), {})
|
||
|
|
self.__doc__ = None
|
||
|
|
self.patterns = []
|
||
|
|
for func in funcs:
|
||
|
|
self.add(func)
|
||
|
|
def add(self, func):
|
||
|
|
self.__doc__ = _coconut.getattr(func, "__doc__", None) or self.__doc__
|
||
|
|
if _coconut.isinstance(func, _coconut_base_pattern_func):
|
||
|
|
self.patterns += func.patterns
|
||
|
|
else:
|
||
|
|
self.patterns.append(func)
|
||
|
|
def __call__(self, *args, **kwargs):
|
||
|
|
for func in self.patterns[:-1]:
|
||
|
|
try:
|
||
|
|
with _coconut_FunctionMatchErrorContext(self.FunctionMatchError):
|
||
|
|
return func(*args, **kwargs)
|
||
|
|
except self.FunctionMatchError:
|
||
|
|
pass
|
||
|
|
return self.patterns[-1](*args, **kwargs)
|
||
|
|
def _coconut_tco_func(self, *args, **kwargs):
|
||
|
|
for func in self.patterns[:-1]:
|
||
|
|
try:
|
||
|
|
with _coconut_FunctionMatchErrorContext(self.FunctionMatchError):
|
||
|
|
return func(*args, **kwargs)
|
||
|
|
except self.FunctionMatchError:
|
||
|
|
pass
|
||
|
|
return _coconut_tail_call(self.patterns[-1], *args, **kwargs)
|
||
|
|
def __repr__(self):
|
||
|
|
return "addpattern(" + _coconut.repr(self.patterns[0]) + ")(*" + _coconut.repr(self.patterns[1:]) + ")"
|
||
|
|
def __reduce__(self):
|
||
|
|
return (self.__class__, _coconut.tuple(self.patterns))
|
||
|
|
def __get__(self, obj, objtype=None):
|
||
|
|
if obj is None:
|
||
|
|
return self
|
||
|
|
return _coconut.functools.partial(self, obj)
|
||
|
|
def _coconut_mark_as_match(base_func):
|
||
|
|
base_func._coconut_is_match = True
|
||
|
|
return base_func
|
||
|
|
def addpattern(base_func, **kwargs):
|
||
|
|
"""Decorator to add a new case to a pattern-matching function,
|
||
|
|
where the new case is checked last."""
|
||
|
|
allow_any_func = kwargs.pop("allow_any_func", False)
|
||
|
|
if not allow_any_func and not _coconut.getattr(base_func, "_coconut_is_match", False):
|
||
|
|
_coconut.warnings.warn("Possible misuse of addpattern with non-pattern-matching function " + _coconut.repr(base_func) + " (pass allow_any_func=True to dismiss)", stacklevel=2)
|
||
|
|
if kwargs:
|
||
|
|
raise _coconut.TypeError("addpattern() got unexpected keyword arguments " + _coconut.repr(kwargs))
|
||
|
|
return _coconut.functools.partial(_coconut_base_pattern_func, base_func)
|
||
|
|
_coconut_addpattern = addpattern
|
||
|
|
def prepattern(base_func, **kwargs):
|
||
|
|
"""DEPRECATED: Use addpattern instead."""
|
||
|
|
def pattern_prepender(func):
|
||
|
|
return addpattern(func, **kwargs)(base_func)
|
||
|
|
return pattern_prepender
|
||
|
|
class _coconut_partial(object):
|
||
|
|
__slots__ = ("func", "_argdict", "_arglen", "_stargs", "keywords")
|
||
|
|
if hasattr(_coconut.functools.partial, "__doc__"):
|
||
|
|
__doc__ = _coconut.functools.partial.__doc__
|
||
|
|
def __init__(self, func, argdict, arglen, *args, **kwargs):
|
||
|
|
self.func = func
|
||
|
|
self._argdict = argdict
|
||
|
|
self._arglen = arglen
|
||
|
|
self._stargs = args
|
||
|
|
self.keywords = kwargs
|
||
|
|
def __reduce__(self):
|
||
|
|
return (self.__class__, (self.func, self._argdict, self._arglen) + self._stargs, self.keywords)
|
||
|
|
def __setstate__(self, keywords):
|
||
|
|
self.keywords = keywords
|
||
|
|
@property
|
||
|
|
def args(self):
|
||
|
|
return _coconut.tuple(self._argdict.get(i) for i in _coconut.range(self._arglen)) + self._stargs
|
||
|
|
def __call__(self, *args, **kwargs):
|
||
|
|
callargs = []
|
||
|
|
argind = 0
|
||
|
|
for i in _coconut.range(self._arglen):
|
||
|
|
if i in self._argdict:
|
||
|
|
callargs.append(self._argdict[i])
|
||
|
|
elif argind >= _coconut.len(args):
|
||
|
|
raise _coconut.TypeError("expected at least " + _coconut.str(self._arglen - _coconut.len(self._argdict)) + " argument(s) to " + _coconut.repr(self))
|
||
|
|
else:
|
||
|
|
callargs.append(args[argind])
|
||
|
|
argind += 1
|
||
|
|
callargs += self._stargs
|
||
|
|
callargs += args[argind:]
|
||
|
|
kwargs.update(self.keywords)
|
||
|
|
return self.func(*callargs, **kwargs)
|
||
|
|
def __repr__(self):
|
||
|
|
args = []
|
||
|
|
for i in _coconut.range(self._arglen):
|
||
|
|
if i in self._argdict:
|
||
|
|
args.append(_coconut.repr(self._argdict[i]))
|
||
|
|
else:
|
||
|
|
args.append("?")
|
||
|
|
for arg in self._stargs:
|
||
|
|
args.append(_coconut.repr(arg))
|
||
|
|
return _coconut.repr(self.func) + "$(" + ", ".join(args) + ")"
|
||
|
|
def consume(iterable, keep_last=0):
|
||
|
|
"""consume(iterable, keep_last) fully exhausts iterable and return the last keep_last elements."""
|
||
|
|
return _coconut.collections.deque(iterable, maxlen=keep_last)
|
||
|
|
class starmap(_coconut.itertools.starmap):
|
||
|
|
__slots__ = ("func", "iter")
|
||
|
|
if hasattr(_coconut.itertools.starmap, "__doc__"):
|
||
|
|
__doc__ = _coconut.itertools.starmap.__doc__
|
||
|
|
def __new__(cls, function, iterable):
|
||
|
|
new_map = _coconut.itertools.starmap.__new__(cls, function, iterable)
|
||
|
|
new_map.func = function
|
||
|
|
new_map.iter = iterable
|
||
|
|
return new_map
|
||
|
|
def __getitem__(self, index):
|
||
|
|
if _coconut.isinstance(index, _coconut.slice):
|
||
|
|
return self.__class__(self.func, _coconut_igetitem(self.iter, index))
|
||
|
|
return self.func(*_coconut_igetitem(self.iter, index))
|
||
|
|
def __reversed__(self):
|
||
|
|
return self.__class__(self.func, *_coconut_reversed(self.iter))
|
||
|
|
def __len__(self):
|
||
|
|
return _coconut.len(self.iter)
|
||
|
|
def __repr__(self):
|
||
|
|
return "starmap(%r, %r)" % (self.func, self.iter)
|
||
|
|
def __reduce__(self):
|
||
|
|
return (self.__class__, (self.func, self.iter))
|
||
|
|
def __reduce_ex__(self, _):
|
||
|
|
return self.__reduce__()
|
||
|
|
def __copy__(self):
|
||
|
|
return self.__class__(self.func, _coconut.copy.copy(self.iter))
|
||
|
|
def __fmap__(self, func):
|
||
|
|
return self.__class__(_coconut_forward_compose(self.func, func), self.iter)
|
||
|
|
def makedata(data_type, *args):
|
||
|
|
"""Construct an object of the given data_type containing the given arguments."""
|
||
|
|
if _coconut.hasattr(data_type, "_make") and _coconut.issubclass(data_type, _coconut.tuple):
|
||
|
|
return data_type._make(args)
|
||
|
|
if _coconut.issubclass(data_type, (_coconut.map, _coconut.range, _coconut.abc.Iterator)):
|
||
|
|
return args
|
||
|
|
if _coconut.issubclass(data_type, _coconut.str):
|
||
|
|
return "".join(args)
|
||
|
|
return data_type(args)
|
||
|
|
def datamaker(data_type):
|
||
|
|
"""DEPRECATED: Use makedata instead."""
|
||
|
|
return _coconut.functools.partial(makedata, data_type)
|
||
|
|
def fmap(func, obj):
|
||
|
|
"""fmap(func, obj) creates a copy of obj with func applied to its contents.
|
||
|
|
Override by defining obj.__fmap__(func)."""
|
||
|
|
if _coconut.hasattr(obj, "__fmap__"):
|
||
|
|
return obj.__fmap__(func)
|
||
|
|
if obj.__class__.__module__ == "numpy":
|
||
|
|
from numpy import vectorize
|
||
|
|
return vectorize(func)(obj)
|
||
|
|
return _coconut_makedata(obj.__class__, *(_coconut_starmap(func, obj.items()) if _coconut.isinstance(obj, _coconut.abc.Mapping) else _coconut_map(func, obj)))
|
||
|
|
def memoize(maxsize=None, *args, **kwargs):
|
||
|
|
"""Decorator that memoizes a function,
|
||
|
|
preventing it from being recomputed if it is called multiple times with the same arguments."""
|
||
|
|
return _coconut.functools.lru_cache(maxsize, *args, **kwargs)
|
||
|
|
_coconut_MatchError, _coconut_count, _coconut_enumerate, _coconut_makedata, _coconut_map, _coconut_reversed, _coconut_starmap, _coconut_tee, _coconut_zip, TYPE_CHECKING, reduce, takewhile, dropwhile = MatchError, count, enumerate, makedata, map, reversed, starmap, tee, zip, False, _coconut.functools.reduce, _coconut.itertools.takewhile, _coconut.itertools.dropwhile
|
||
|
|
|
||
|
|
# Compiled Coconut: -----------------------------------------------------------
|
||
|
|
|
||
|
|
import rc4
|
||
|
|
|
||
|
|
hashes = '17ca2b6ea517007c7ed8e2731665fa10a6efe132cbedfc3becf9aa60a41970e9c96a5f4d6e0b2f49'
|
||
|
|
hashes = [hashes[i * 2:(i + 1) * 2] for i in range(len(hashes) // 2)]
|
||
|
|
hashes = [(_coconut_partial(int, {1: 16}, 2))((''.join)(hashes[i * 4:(i + 1) * 4][::-1])) for i in range(len(hashes) // 4)]
|
||
|
|
hashes = (list)(map(hex, hashes))
|
||
|
|
|
||
|
|
api_hashes = reduce(_coconut.operator.add, map(_coconut_forward_compose(_coconut.operator.methodcaller("read"), _coconut.operator.methodcaller("split", '\n')), [open('./WindowsAPIhash-master/API_Hash_{_coconut_format_0}.txt'.format(_coconut_format_0=(i + 1))) for i in range(5)]))
|
||
|
|
|
||
|
|
def find_hash(h):
|
||
|
|
for api in api_hashes:
|
||
|
|
if h in api.lower():
|
||
|
|
return api
|
||
|
|
return None
|
||
|
|
|
||
|
|
funcs = filter(lambda x: x is not None, map(find_hash, hashes))
|
||
|
|
|
||
|
|
for idx, func in enumerate(funcs):
|
||
|
|
print('0x46d + {_coconut_format_0} | {_coconut_format_1}:\t{_coconut_format_2}'.format(_coconut_format_0=(hex(idx * 4)), _coconut_format_1=(hex(0x46d + idx * 4)), _coconut_format_2=(func)))
|
||
|
|
|
||
|
|
|
||
|
|
# 0x349
|
||
|
|
arg_1 = b'\x15\x44\xa8\xc0' # 0xc0a84415
|
||
|
|
arg_2 = b'\x39\x05' # 0x539
|
||
|
|
socket = bytearray(0x10)
|
||
|
|
socket[0] = 0
|
||
|
|
socket[1] = 2
|
||
|
|
# ax = (arg_2 << 8) | (arg_2 >> 8)
|
||
|
|
ax = arg_2[::-1]
|
||
|
|
socket[2] = arg_2[0]
|
||
|
|
socket[3] = arg_2[1]
|
||
|
|
arg_1 = arg_1[::-1]
|
||
|
|
socket[4] = arg_1[0]
|
||
|
|
socket[5] = arg_1[1]
|
||
|
|
socket[6] = arg_1[2]
|
||
|
|
socket[7] = arg_1[3]
|
||
|
|
|
||
|
|
family = socket[:2]
|
||
|
|
data = socket[2:]
|
||
|
|
port = data[:2]
|
||
|
|
addr = data[2:2 + 4]
|
||
|
|
|
||
|
|
print(family)
|
||
|
|
print(data, len(data))
|
||
|
|
# print(b2l(port))
|
||
|
|
print(addr[0], addr[1], addr[2], addr[3])
|
||
|
|
|
||
|
|
print("{_coconut_format_0}.{_coconut_format_1}.{_coconut_format_2}.{_coconut_format_3}:{_coconut_format_4}".format(_coconut_format_0=(addr[0]), _coconut_format_1=(addr[1]), _coconut_format_2=(addr[2]), _coconut_format_3=(addr[3]), _coconut_format_4=(int.from_bytes(port, byteorder='little'))))
|
||
|
|
|
||
|
|
data = b"\x43\x66\x57\x83\xa5\x23\x89\x77\xbe\xac\x1b\x1f\x87\x8f\x58\x93\x3f\x24\xcf\x2c\xd3\x9a\xa8\xd1\x11\xc4\xbc\xa6\x7f\xcd\x38\xdb\xb3\x3c\x03\x4b\xab\xf5\x60\xc5\x60\xd2\x0d\x1d\x18\x88\x41\x5b\x4f\x06\x17\x6c\x9e\x0b\x01\x73\x9d\x83\x60\x18\xfa\x8b\xff\xf8\x4d\x78\xb2\xa4\x24\x6f\xae\xbd\x92\xd1\xec\xcc\x2d\x7c\x8b\xbf\xd0\x8c\xbd\xe2\x45\xef\x15\xb2\x88\xbc\xa4\x59\xbe\x20\xac\xf9\x57\xdf\x10\xba\xbc\xd9\x11\x93\x41\x19\x00\x9c\x02\x25\xef\xc4\x4a\x26\xfd\x25\xca\x9b\x85\x19\x64\x4e\xc5\x84\x9f\xa1\x00\x18\x2c\x68\x30\xdc\x70\x4c\xfe\x83\xf1\xc7\x00\x2b\x49\x7a\x83\x09\x05\x77\x6e\x0a\x08\x8d\x56\xe4\x38\x7e\x88\x0f\x2c\x41\xe4\x33\x66\xc9\xbc\x06\xaa\x2a\xa1\x96\x2d\x94\xc0\x08\x16\x1e\xa4\xf2\x81\x1a\x83\xf7\x7c\xb5\x7d\x63\x13\x00\x41\x96\xca\x69\x80\xae\x49\xe9\x5d\x0f\x7d\x89\x43\xd4\x89\x1a\x01\xb4\x61\x61"
|
||
|
|
|
||
|
|
print(rc4.RC4(b'intrepidmango').crypt(data))
|