mirror of https://github.com/morpheus65535/bazarr
456 lines
17 KiB
Python
456 lines
17 KiB
Python
# ######################### 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
|
|
# "AS IS" 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.
|
|
|
|
"""
|
|
Decorator module, see http://pypi.python.org/pypi/decorator
|
|
for the documentation.
|
|
"""
|
|
from __future__ import print_function
|
|
|
|
import re
|
|
import sys
|
|
import inspect
|
|
import operator
|
|
import itertools
|
|
import collections
|
|
|
|
__version__ = '4.4.0'
|
|
|
|
if sys.version >= '3':
|
|
from inspect import getfullargspec
|
|
|
|
def get_init(cls):
|
|
return cls.__init__
|
|
else:
|
|
FullArgSpec = collections.namedtuple(
|
|
'FullArgSpec', 'args varargs varkw defaults '
|
|
'kwonlyargs kwonlydefaults annotations')
|
|
|
|
def getfullargspec(f):
|
|
"A quick and dirty replacement for getfullargspec for Python 2.X"
|
|
return FullArgSpec._make(inspect.getargspec(f) + ([], None, {}))
|
|
|
|
def get_init(cls):
|
|
return cls.__init__.__func__
|
|
|
|
try:
|
|
iscoroutinefunction = inspect.iscoroutinefunction
|
|
except AttributeError:
|
|
# let's assume there are no coroutine functions in old Python
|
|
def iscoroutinefunction(f):
|
|
return False
|
|
try:
|
|
from inspect import isgeneratorfunction
|
|
except ImportError:
|
|
# assume no generator function in old Python versions
|
|
def isgeneratorfunction(caller):
|
|
return False
|
|
|
|
|
|
DEF = re.compile(r'\s*def\s*([_\w][_\w\d]*)\s*\(')
|
|
|
|
|
|
# basic functionality
|
|
class FunctionMaker(object):
|
|
"""
|
|
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.
|
|
"""
|
|
|
|
# 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 == '<lambda>': # small hack for lambda functions
|
|
self.name = '_lambda_'
|
|
self.doc = func.__doc__
|
|
self.module = func.__module__
|
|
if inspect.isfunction(func):
|
|
argspec = getfullargspec(func)
|
|
self.annotations = getattr(func, '__annotations__', {})
|
|
for a in ('args', 'varargs', 'varkw', 'defaults', 'kwonlyargs',
|
|
'kwonlydefaults'):
|
|
setattr(self, a, getattr(argspec, a))
|
|
for i, arg in enumerate(self.args):
|
|
setattr(self, 'arg%d' % i, arg)
|
|
allargs = list(self.args)
|
|
allshortargs = list(self.args)
|
|
if self.varargs:
|
|
allargs.append('*' + self.varargs)
|
|
allshortargs.append('*' + self.varargs)
|
|
elif self.kwonlyargs:
|
|
allargs.append('*') # single star syntax
|
|
for a in self.kwonlyargs:
|
|
allargs.append('%s=None' % a)
|
|
allshortargs.append('%s=%s' % (a, a))
|
|
if self.varkw:
|
|
allargs.append('**' + self.varkw)
|
|
allshortargs.append('**' + self.varkw)
|
|
self.signature = ', '.join(allargs)
|
|
self.shortsignature = ', '.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, 'name')
|
|
if not hasattr(self, 'signature'):
|
|
raise TypeError('You are decorating a non function: %s' % func)
|
|
|
|
def update(self, func, **kw):
|
|
"Update the signature of func with the data in self"
|
|
func.__name__ = self.name
|
|
func.__doc__ = getattr(self, 'doc', None)
|
|
func.__dict__ = getattr(self, 'dict', {})
|
|
func.__defaults__ = self.defaults
|
|
func.__kwdefaults__ = self.kwonlydefaults or None
|
|
func.__annotations__ = getattr(self, 'annotations', None)
|
|
try:
|
|
frame = sys._getframe(3)
|
|
except AttributeError: # for IronPython and similar implementations
|
|
callermodule = '?'
|
|
else:
|
|
callermodule = frame.f_globals.get('__name__', '?')
|
|
func.__module__ = getattr(self, 'module', callermodule)
|
|
func.__dict__.update(kw)
|
|
|
|
def make(self, src_templ, evaldict=None, addsource=False, **attrs):
|
|
"Make a new function from a given template and update the signature"
|
|
src = src_templ % vars(self) # expand name and signature
|
|
evaldict = evaldict or {}
|
|
mo = DEF.search(src)
|
|
if mo is None:
|
|
raise SyntaxError('not a valid function template\n%s' % src)
|
|
name = mo.group(1) # extract the function name
|
|
names = set([name] + [arg.strip(' *') for arg in
|
|
self.shortsignature.split(',')])
|
|
for n in names:
|
|
if n in ('_func_', '_call_'):
|
|
raise NameError('%s is overridden in\n%s' % (n, src))
|
|
|
|
if not src.endswith('\n'): # add a newline for old Pythons
|
|
src += '\n'
|
|
|
|
# Ensure each generated function has a unique filename for profilers
|
|
# (such as cProfile) that depend on the tuple of (<filename>,
|
|
# <definition line>, <function name>) being unique.
|
|
filename = '<%s:decorator-gen-%d>' % (
|
|
__file__, next(self._compile_count))
|
|
try:
|
|
code = compile(src, filename, 'single')
|
|
exec(code, evaldict)
|
|
except Exception:
|
|
print('Error in generated code:', file=sys.stderr)
|
|
print(src, file=sys.stderr)
|
|
raise
|
|
func = evaldict[name]
|
|
if addsource:
|
|
attrs['__source__'] = src
|
|
self.update(func, **attrs)
|
|
return func
|
|
|
|
@classmethod
|
|
def create(cls, obj, body, evaldict, defaults=None,
|
|
doc=None, module=None, addsource=True, **attrs):
|
|
"""
|
|
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.
|
|
"""
|
|
if isinstance(obj, str): # "name(signature)"
|
|
name, rest = obj.strip().split('(', 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 = '\n'.join(' ' + line for line in body.splitlines())
|
|
caller = evaldict.get('_call_') # when called from `decorate`
|
|
if caller and iscoroutinefunction(caller):
|
|
body = ('async def %(name)s(%(signature)s):\n' + ibody).replace(
|
|
'return', 'return await')
|
|
else:
|
|
body = 'def %(name)s(%(signature)s):\n' + ibody
|
|
return self.make(body, evaldict, addsource, **attrs)
|
|
|
|
|
|
def decorate(func, caller, extras=()):
|
|
"""
|
|
decorate(func, caller) decorates a function using a caller.
|
|
If the caller is a generator function, the resulting function
|
|
will be a generator function.
|
|
"""
|
|
evaldict = dict(_call_=caller, _func_=func)
|
|
es = ''
|
|
for i, extra in enumerate(extras):
|
|
ex = '_e%d_' % i
|
|
evaldict[ex] = extra
|
|
es += ex + ', '
|
|
|
|
if '3.5' <= sys.version < '3.6':
|
|
# with Python 3.5 isgeneratorfunction returns True for all coroutines
|
|
# however we know that it is NOT possible to have a generator
|
|
# coroutine in python 3.5: PEP525 was not there yet
|
|
generatorcaller = isgeneratorfunction(
|
|
caller) and not iscoroutinefunction(caller)
|
|
else:
|
|
generatorcaller = isgeneratorfunction(caller)
|
|
if generatorcaller:
|
|
fun = FunctionMaker.create(
|
|
func, "for res in _call_(_func_, %s%%(shortsignature)s):\n"
|
|
" yield res" % es, evaldict, __wrapped__=func)
|
|
else:
|
|
fun = FunctionMaker.create(
|
|
func, "return _call_(_func_, %s%%(shortsignature)s)" % es,
|
|
evaldict, __wrapped__=func)
|
|
if hasattr(func, '__qualname__'):
|
|
fun.__qualname__ = func.__qualname__
|
|
return fun
|
|
|
|
|
|
def decorator(caller, _func=None):
|
|
"""decorator(caller) converts a caller function into a decorator"""
|
|
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 = '', ()
|
|
if inspect.isclass(caller):
|
|
name = caller.__name__.lower()
|
|
doc = 'decorator(%s) converts functions/generators into ' \
|
|
'factories of %s objects' % (caller.__name__, caller.__name__)
|
|
elif inspect.isfunction(caller):
|
|
if caller.__name__ == '<lambda>':
|
|
name = '_lambda_'
|
|
else:
|
|
name = caller.__name__
|
|
doc = caller.__doc__
|
|
nargs = caller.__code__.co_argcount
|
|
ndefs = len(caller.__defaults__ or ())
|
|
defaultargs = ', '.join(caller.__code__.co_varnames[nargs-ndefs:nargs])
|
|
if defaultargs:
|
|
defaultargs += ','
|
|
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(
|
|
'%s(func, %s)' % (name, defaultargs),
|
|
'if func is None: return lambda func: _decorate_(func, _call, (%s))\n'
|
|
'return _decorate_(func, _call, (%s))' % (defaultargs, defaultargs),
|
|
evaldict, doc=doc, module=caller.__module__, __wrapped__=caller)
|
|
if defaults:
|
|
dec.__defaults__ = (None,) + defaults
|
|
return dec
|
|
|
|
|
|
# ####################### contextmanager ####################### #
|
|
|
|
try: # Python >= 3.2
|
|
from contextlib import _GeneratorContextManager
|
|
except ImportError: # Python >= 2.5
|
|
from contextlib import GeneratorContextManager as _GeneratorContextManager
|
|
|
|
|
|
class ContextManager(_GeneratorContextManager):
|
|
def __call__(self, func):
|
|
"""Context manager decorator"""
|
|
return FunctionMaker.create(
|
|
func, "with _self_: return _func_(%(shortsignature)s)",
|
|
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):
|
|
"""
|
|
Append ``a`` to the list of the virtual ancestors, unless it is already
|
|
included.
|
|
"""
|
|
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):
|
|
"""
|
|
Factory of decorators turning a function into a generic function
|
|
dispatching on the given arguments.
|
|
"""
|
|
assert dispatch_args, 'No dispatch args passed'
|
|
dispatch_str = '(%s,)' % ', '.join(dispatch_args)
|
|
|
|
def check(arguments, wrong=operator.ne, msg=''):
|
|
"""Make sure one passes the expected number of arguments"""
|
|
if wrong(len(arguments), len(dispatch_args)):
|
|
raise TypeError('Expected %d arguments, got %d%s' %
|
|
(len(dispatch_args), len(arguments), msg))
|
|
|
|
def gen_func_dec(func):
|
|
"""Decorator turning a function into a generic function"""
|
|
|
|
# first check the dispatch arguments
|
|
argset = set(getfullargspec(func).args)
|
|
if not set(dispatch_args) <= argset:
|
|
raise NameError('Unknown dispatch arguments %s' % dispatch_str)
|
|
|
|
typemap = {}
|
|
|
|
def vancestors(*types):
|
|
"""
|
|
Get a list of sets of virtual ancestors for the given types
|
|
"""
|
|
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):
|
|
"""
|
|
Get a list of virtual MROs, one for each type
|
|
"""
|
|
check(types)
|
|
lists = []
|
|
for t, vas in zip(types, vancestors(*types)):
|
|
n_vas = len(vas)
|
|
if n_vas > 1:
|
|
raise RuntimeError(
|
|
'Ambiguous dispatch for %s: %s' % (t, vas))
|
|
elif n_vas == 1:
|
|
va, = vas
|
|
mro = type('t', (t, va), {}).mro()[1:]
|
|
else:
|
|
mro = t.mro()
|
|
lists.append(mro[:-1]) # discard t and object
|
|
return lists
|
|
|
|
def register(*types):
|
|
"""
|
|
Decorator to register an implementation for the given types
|
|
"""
|
|
check(types)
|
|
|
|
def dec(f):
|
|
check(getfullargspec(f).args, operator.lt, ' in ' + f.__name__)
|
|
typemap[types] = f
|
|
return f
|
|
return dec
|
|
|
|
def dispatch_info(*types):
|
|
"""
|
|
An utility to introspect the dispatch algorithm
|
|
"""
|
|
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, 'return _f_(%s, %%(shortsignature)s)' % 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__ = 'dispatch_on' + dispatch_str
|
|
return gen_func_dec
|