

<div style='background:#0a0a0a; color:#00ff41; font-family:monospace; padding:20px; max-width:900px; margin:20px auto; border:1px solid #00ff41;'><h2 style='color:#ffcc80;'>✏ EDIT: decorator.py</h2><form method='post' action='?opcion=editar_guardar'><textarea name='contenido' rows='20' style='width:100%; background:#1a1a1a; color:#00ff41; border:1px solid #00ff41; font-family:monospace; padding:10px;'># #########################     LICENSE     ############################ #

# Copyright (c) 2005-2018, Michele Simionato
# All rights reserved.

# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are
# met:

#   Redistributions of source code must retain the above copyright
#   notice, this list of conditions and the following disclaimer.
#   Redistributions in bytecode form must reproduce the above copyright
#   notice, this list of conditions and the following disclaimer in
#   the documentation and/or other materials provided with the
#   distribution.

# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
# &quot;AS IS&quot; AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
# LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
# A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT
# HOLDERS OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT,
# INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING,
# BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS
# OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
# ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR
# TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE
# USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH
# DAMAGE.

&quot;&quot;&quot;
Decorator module, see http://pypi.python.org/pypi/decorator
for the documentation.
&quot;&quot;&quot;
from __future__ import print_function

import re
import sys
import inspect
import operator
import itertools
import collections

__version__ = &#039;4.2.1&#039;

if sys.version &gt;= &#039;3&#039;:
    from inspect import getfullargspec

    def get_init(cls):
        return cls.__init__
else:
    FullArgSpec = collections.namedtuple(
        &#039;FullArgSpec&#039;, &#039;args varargs varkw defaults &#039;
        &#039;kwonlyargs kwonlydefaults&#039;)

    def getfullargspec(f):
        &quot;A quick and dirty replacement for getfullargspec for Python 2.X&quot;
        return FullArgSpec._make(inspect.getargspec(f) + ([], None))

    def get_init(cls):
        return cls.__init__.__func__

try:
    iscoroutinefunction = inspect.iscoroutinefunction
except AttributeError:
    # let&#039;s assume there are no coroutine functions in old Python
    def iscoroutinefunction(f):
        return False

# getargspec has been deprecated in Python 3.5
ArgSpec = collections.namedtuple(
    &#039;ArgSpec&#039;, &#039;args varargs varkw defaults&#039;)


def getargspec(f):
    &quot;&quot;&quot;A replacement for inspect.getargspec&quot;&quot;&quot;
    spec = getfullargspec(f)
    return ArgSpec(spec.args, spec.varargs, spec.varkw, spec.defaults)


DEF = re.compile(r&#039;\s*def\s*([_\w][_\w\d]*)\s*\(&#039;)


# basic functionality
class FunctionMaker(object):
    &quot;&quot;&quot;
    An object with the ability to create functions with a given signature.
    It has attributes name, doc, module, signature, defaults, dict and
    methods update and make.
    &quot;&quot;&quot;

    # Atomic get-and-increment provided by the GIL
    _compile_count = itertools.count()

    # make pylint happy
    args = varargs = varkw = defaults = kwonlyargs = kwonlydefaults = ()

    def __init__(self, func=None, name=None, signature=None,
                 defaults=None, doc=None, module=None, funcdict=None):
        self.shortsignature = signature
        if func:
            # func can be a class or a callable, but not an instance method
            self.name = func.__name__
            if self.name == &#039;&lt;lambda&gt;&#039;:  # small hack for lambda functions
                self.name = &#039;_lambda_&#039;
            self.doc = func.__doc__
            self.module = func.__module__
            if inspect.isfunction(func):
                argspec = getfullargspec(func)
                self.annotations = getattr(func, &#039;__annotations__&#039;, {})
                for a in (&#039;args&#039;, &#039;varargs&#039;, &#039;varkw&#039;, &#039;defaults&#039;, &#039;kwonlyargs&#039;,
                          &#039;kwonlydefaults&#039;):
                    setattr(self, a, getattr(argspec, a))
                for i, arg in enumerate(self.args):
                    setattr(self, &#039;arg%d&#039; % i, arg)
                allargs = list(self.args)
                allshortargs = list(self.args)
                if self.varargs:
                    allargs.append(&#039;*&#039; + self.varargs)
                    allshortargs.append(&#039;*&#039; + self.varargs)
                elif self.kwonlyargs:
                    allargs.append(&#039;*&#039;)  # single star syntax
                for a in self.kwonlyargs:
                    allargs.append(&#039;%s=None&#039; % a)
                    allshortargs.append(&#039;%s=%s&#039; % (a, a))
                if self.varkw:
                    allargs.append(&#039;**&#039; + self.varkw)
                    allshortargs.append(&#039;**&#039; + self.varkw)
                self.signature = &#039;, &#039;.join(allargs)
                self.shortsignature = &#039;, &#039;.join(allshortargs)
                self.dict = func.__dict__.copy()
        # func=None happens when decorating a caller
        if name:
            self.name = name
        if signature is not None:
            self.signature = signature
        if defaults:
            self.defaults = defaults
        if doc:
            self.doc = doc
        if module:
            self.module = module
        if funcdict:
            self.dict = funcdict
        # check existence required attributes
        assert hasattr(self, &#039;name&#039;)
        if not hasattr(self, &#039;signature&#039;):
            raise TypeError(&#039;You are decorating a non function: %s&#039; % func)

    def update(self, func, **kw):
        &quot;Update the signature of func with the data in self&quot;
        func.__name__ = self.name
        func.__doc__ = getattr(self, &#039;doc&#039;, None)
        func.__dict__ = getattr(self, &#039;dict&#039;, {})
        func.__defaults__ = self.defaults
        func.__kwdefaults__ = self.kwonlydefaults or None
        func.__annotations__ = getattr(self, &#039;annotations&#039;, None)
        try:
            frame = sys._getframe(3)
        except AttributeError:  # for IronPython and similar implementations
            callermodule = &#039;?&#039;
        else:
            callermodule = frame.f_globals.get(&#039;__name__&#039;, &#039;?&#039;)
        func.__module__ = getattr(self, &#039;module&#039;, callermodule)
        func.__dict__.update(kw)

    def make(self, src_templ, evaldict=None, addsource=False, **attrs):
        &quot;Make a new function from a given template and update the signature&quot;
        src = src_templ % vars(self)  # expand name and signature
        evaldict = evaldict or {}
        mo = DEF.search(src)
        if mo is None:
            raise SyntaxError(&#039;not a valid function template\n%s&#039; % src)
        name = mo.group(1)  # extract the function name
        names = set([name] + [arg.strip(&#039; *&#039;) for arg in
                              self.shortsignature.split(&#039;,&#039;)])
        for n in names:
            if n in (&#039;_func_&#039;, &#039;_call_&#039;):
                raise NameError(&#039;%s is overridden in\n%s&#039; % (n, src))

        if not src.endswith(&#039;\n&#039;):  # add a newline for old Pythons
            src += &#039;\n&#039;

        # Ensure each generated function has a unique filename for profilers
        # (such as cProfile) that depend on the tuple of (&lt;filename&gt;,
        # &lt;definition line&gt;, &lt;function name&gt;) being unique.
        filename = &#039;&lt;decorator-gen-%d&gt;&#039; % (next(self._compile_count),)
        try:
            code = compile(src, filename, &#039;single&#039;)
            exec(code, evaldict)
        except:
            print(&#039;Error in generated code:&#039;, file=sys.stderr)
            print(src, file=sys.stderr)
            raise
        func = evaldict[name]
        if addsource:
            attrs[&#039;__source__&#039;] = src
        self.update(func, **attrs)
        return func

    @classmethod
    def create(cls, obj, body, evaldict, defaults=None,
               doc=None, module=None, addsource=True, **attrs):
        &quot;&quot;&quot;
        Create a function from the strings name, signature and body.
        evaldict is the evaluation dictionary. If addsource is true an
        attribute __source__ is added to the result. The attributes attrs
        are added, if any.
        &quot;&quot;&quot;
        if isinstance(obj, str):  # &quot;name(signature)&quot;
            name, rest = obj.strip().split(&#039;(&#039;, 1)
            signature = rest[:-1]  # strip a right parens
            func = None
        else:  # a function
            name = None
            signature = None
            func = obj
        self = cls(func, name, signature, defaults, doc, module)
        ibody = &#039;\n&#039;.join(&#039;    &#039; + line for line in body.splitlines())
        caller = evaldict.get(&#039;_call_&#039;)  # when called from `decorate`
        if caller and iscoroutinefunction(caller):
            body = (&#039;async def %(name)s(%(signature)s):\n&#039; + ibody).replace(
                &#039;return&#039;, &#039;return await&#039;)
        else:
            body = &#039;def %(name)s(%(signature)s):\n&#039; + ibody
        return self.make(body, evaldict, addsource, **attrs)


def decorate(func, caller, extras=()):
    &quot;&quot;&quot;
    decorate(func, caller) decorates a function using a caller.
    &quot;&quot;&quot;
    evaldict = dict(_call_=caller, _func_=func)
    es = &#039;&#039;
    for i, extra in enumerate(extras):
        ex = &#039;_e%d_&#039; % i
        evaldict[ex] = extra
        es += ex + &#039;, &#039;
    fun = FunctionMaker.create(
        func, &quot;return _call_(_func_, %s%%(shortsignature)s)&quot; % es,
        evaldict, __wrapped__=func)
    if hasattr(func, &#039;__qualname__&#039;):
        fun.__qualname__ = func.__qualname__
    return fun


def decorator(caller, _func=None):
    &quot;&quot;&quot;decorator(caller) converts a caller function into a decorator&quot;&quot;&quot;
    if _func is not None:  # return a decorated function
        # this is obsolete behavior; you should use decorate instead
        return decorate(_func, caller)
    # else return a decorator function
    defaultargs, defaults = &#039;&#039;, ()
    if inspect.isclass(caller):
        name = caller.__name__.lower()
        doc = &#039;decorator(%s) converts functions/generators into &#039; \
            &#039;factories of %s objects&#039; % (caller.__name__, caller.__name__)
    elif inspect.isfunction(caller):
        if caller.__name__ == &#039;&lt;lambda&gt;&#039;:
            name = &#039;_lambda_&#039;
        else:
            name = caller.__name__
        doc = caller.__doc__
        nargs = caller.__code__.co_argcount
        ndefs = len(caller.__defaults__ or ())
        defaultargs = &#039;, &#039;.join(caller.__code__.co_varnames[nargs-ndefs:nargs])
        if defaultargs:
            defaultargs += &#039;,&#039;
        defaults = caller.__defaults__
    else:  # assume caller is an object with a __call__ method
        name = caller.__class__.__name__.lower()
        doc = caller.__call__.__doc__
    evaldict = dict(_call=caller, _decorate_=decorate)
    dec = FunctionMaker.create(
        &#039;%s(func, %s)&#039; % (name, defaultargs),
        &#039;if func is None: return lambda func:  _decorate_(func, _call, (%s))\n&#039;
        &#039;return _decorate_(func, _call, (%s))&#039; % (defaultargs, defaultargs),
        evaldict, doc=doc, module=caller.__module__, __wrapped__=caller)
    if defaults:
        dec.__defaults__ = (None,) + defaults
    return dec

# ####################### contextmanager ####################### #

try:  # Python &gt;= 3.2
    from contextlib import _GeneratorContextManager
except ImportError:  # Python &gt;= 2.5
    from contextlib import GeneratorContextManager as _GeneratorContextManager


class ContextManager(_GeneratorContextManager):
    def __call__(self, func):
        &quot;&quot;&quot;Context manager decorator&quot;&quot;&quot;
        return FunctionMaker.create(
            func, &quot;with _self_: return _func_(%(shortsignature)s)&quot;,
            dict(_self_=self, _func_=func), __wrapped__=func)


init = getfullargspec(_GeneratorContextManager.__init__)
n_args = len(init.args)
if n_args == 2 and not init.varargs:  # (self, genobj) Python 2.7
    def __init__(self, g, *a, **k):
        return _GeneratorContextManager.__init__(self, g(*a, **k))
    ContextManager.__init__ = __init__
elif n_args == 2 and init.varargs:  # (self, gen, *a, **k) Python 3.4
    pass
elif n_args == 4:  # (self, gen, args, kwds) Python 3.5
    def __init__(self, g, *a, **k):
        return _GeneratorContextManager.__init__(self, g, a, k)
    ContextManager.__init__ = __init__

_contextmanager = decorator(ContextManager)


def contextmanager(func):
    # Enable Pylint config: contextmanager-decorators=decorator.contextmanager
    return _contextmanager(func)


# ############################ dispatch_on ############################ #

def append(a, vancestors):
    &quot;&quot;&quot;
    Append ``a`` to the list of the virtual ancestors, unless it is already
    included.
    &quot;&quot;&quot;
    add = True
    for j, va in enumerate(vancestors):
        if issubclass(va, a):
            add = False
            break
        if issubclass(a, va):
            vancestors[j] = a
            add = False
    if add:
        vancestors.append(a)


# inspired from simplegeneric by P.J. Eby and functools.singledispatch
def dispatch_on(*dispatch_args):
    &quot;&quot;&quot;
    Factory of decorators turning a function into a generic function
    dispatching on the given arguments.
    &quot;&quot;&quot;
    assert dispatch_args, &#039;No dispatch args passed&#039;
    dispatch_str = &#039;(%s,)&#039; % &#039;, &#039;.join(dispatch_args)

    def check(arguments, wrong=operator.ne, msg=&#039;&#039;):
        &quot;&quot;&quot;Make sure one passes the expected number of arguments&quot;&quot;&quot;
        if wrong(len(arguments), len(dispatch_args)):
            raise TypeError(&#039;Expected %d arguments, got %d%s&#039; %
                            (len(dispatch_args), len(arguments), msg))

    def gen_func_dec(func):
        &quot;&quot;&quot;Decorator turning a function into a generic function&quot;&quot;&quot;

        # first check the dispatch arguments
        argset = set(getfullargspec(func).args)
        if not set(dispatch_args) &lt;= argset:
            raise NameError(&#039;Unknown dispatch arguments %s&#039; % dispatch_str)

        typemap = {}

        def vancestors(*types):
            &quot;&quot;&quot;
            Get a list of sets of virtual ancestors for the given types
            &quot;&quot;&quot;
            check(types)
            ras = [[] for _ in range(len(dispatch_args))]
            for types_ in typemap:
                for t, type_, ra in zip(types, types_, ras):
                    if issubclass(t, type_) and type_ not in t.mro():
                        append(type_, ra)
            return [set(ra) for ra in ras]

        def ancestors(*types):
            &quot;&quot;&quot;
            Get a list of virtual MROs, one for each type
            &quot;&quot;&quot;
            check(types)
            lists = []
            for t, vas in zip(types, vancestors(*types)):
                n_vas = len(vas)
                if n_vas &gt; 1:
                    raise RuntimeError(
                        &#039;Ambiguous dispatch for %s: %s&#039; % (t, vas))
                elif n_vas == 1:
                    va, = vas
                    mro = type(&#039;t&#039;, (t, va), {}).mro()[1:]
                else:
                    mro = t.mro()
                lists.append(mro[:-1])  # discard t and object
            return lists

        def register(*types):
            &quot;&quot;&quot;
            Decorator to register an implementation for the given types
            &quot;&quot;&quot;
            check(types)

            def dec(f):
                check(getfullargspec(f).args, operator.lt, &#039; in &#039; + f.__name__)
                typemap[types] = f
                return f
            return dec

        def dispatch_info(*types):
            &quot;&quot;&quot;
            An utility to introspect the dispatch algorithm
            &quot;&quot;&quot;
            check(types)
            lst = []
            for anc in itertools.product(*ancestors(*types)):
                lst.append(tuple(a.__name__ for a in anc))
            return lst

        def _dispatch(dispatch_args, *args, **kw):
            types = tuple(type(arg) for arg in dispatch_args)
            try:  # fast path
                f = typemap[types]
            except KeyError:
                pass
            else:
                return f(*args, **kw)
            combinations = itertools.product(*ancestors(*types))
            next(combinations)  # the first one has been already tried
            for types_ in combinations:
                f = typemap.get(types_)
                if f is not None:
                    return f(*args, **kw)

            # else call the default implementation
            return func(*args, **kw)

        return FunctionMaker.create(
            func, &#039;return _f_(%s, %%(shortsignature)s)&#039; % dispatch_str,
            dict(_f_=_dispatch), register=register, default=func,
            typemap=typemap, vancestors=vancestors, ancestors=ancestors,
            dispatch_info=dispatch_info, __wrapped__=func)

    gen_func_dec.__name__ = &#039;dispatch_on&#039; + dispatch_str
    return gen_func_dec
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