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Unbundle of all external modules....
Unbundle of all external modules. Move all libraries in external into subfolders and place a custom __init__.py into each of them. This way the system installed ones are tried first, before falling back to the bundled ones. Now every distribution can properly depend on the upstream library. (e.g. bundled libraries are not allowed in fedora) Signed-off-by: Toshio Ernie Kuratomi <toshio@fedoraproject.org> Signed-off-by: Thomas Spura <tomspur@fedoraproject.org>

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_decorator.py
254 lines | 10.0 KiB | text/x-python | PythonLexer
########################## LICENCE ###############################
##
## Copyright (c) 2005, Michele Simionato
## All rights reserved.
##
## 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.
"""
__all__ = ["decorator", "FunctionMaker", "partial",
"deprecated", "getinfo", "new_wrapper"]
import os, sys, re, inspect, string, warnings
try:
from functools import partial
except ImportError: # for Python version < 2.5
class partial(object):
"A simple replacement of functools.partial"
def __init__(self, func, *args, **kw):
self.func = func
self.args = args
self.keywords = kw
def __call__(self, *otherargs, **otherkw):
kw = self.keywords.copy()
kw.update(otherkw)
return self.func(*(self.args + otherargs), **kw)
DEF = re.compile('\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.
"""
def __init__(self, func=None, name=None, signature=None,
defaults=None, doc=None, module=None, funcdict=None):
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 = inspect.getargspec(func)
self.args, self.varargs, self.keywords, self.defaults = argspec
for i, arg in enumerate(self.args):
setattr(self, 'arg%d' % i, arg)
self.signature = inspect.formatargspec(
formatvalue=lambda val: "", *argspec)[1:-1]
self.dict = func.__dict__.copy()
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.func_defaults = getattr(self, 'defaults', ())
callermodule = sys._getframe(3).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.match(src)
if mo is None:
raise SyntaxError('not a valid function template\n%s' % src)
name = mo.group(1) # extract the function name
reserved_names = set([name] + [
arg.strip(' *') for arg in self.signature.split(',')])
for n, v in evaldict.iteritems():
if n in reserved_names:
raise NameError('%s is overridden in\n%s' % (n, src))
if not src.endswith('\n'): # add a newline just for safety
src += '\n'
try:
code = compile(src, '<string>', 'single')
exec code in evaldict
except:
print >> sys.stderr, 'Error in generated code:'
print >> sys.stderr, src
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
fun = cls(func, name, signature, defaults, doc, module)
ibody = '\n'.join(' ' + line for line in body.splitlines())
return fun.make('def %(name)s(%(signature)s):\n' + ibody,
evaldict, addsource, **attrs)
def decorator(caller, func=None):
"""
decorator(caller) converts a caller function into a decorator;
decorator(caller, func) decorates a function using a caller.
"""
if func is not None: # returns a decorated function
return FunctionMaker.create(
func, "return _call_(_func_, %(signature)s)",
dict(_call_=caller, _func_=func), undecorated=func)
else: # returns a decorator
if isinstance(caller, partial):
return partial(decorator, caller)
# otherwise assume caller is a function
f = inspect.getargspec(caller)[0][0] # first arg
return FunctionMaker.create(
'%s(%s)' % (caller.__name__, f),
'return decorator(_call_, %s)' % f,
dict(_call_=caller, decorator=decorator), undecorated=caller,
doc=caller.__doc__, module=caller.__module__)
###################### deprecated functionality #########################
@decorator
def deprecated(func, *args, **kw):
"A decorator for deprecated functions"
warnings.warn(
('Calling the deprecated function %r\n'
'Downgrade to decorator 2.3 if you want to use this functionality')
% func.__name__, DeprecationWarning, stacklevel=3)
return func(*args, **kw)
@deprecated
def getinfo(func):
"""
Returns an info dictionary containing:
- name (the name of the function : str)
- argnames (the names of the arguments : list)
- defaults (the values of the default arguments : tuple)
- signature (the signature : str)
- doc (the docstring : str)
- module (the module name : str)
- dict (the function __dict__ : str)
>>> def f(self, x=1, y=2, *args, **kw): pass
>>> info = getinfo(f)
>>> info["name"]
'f'
>>> info["argnames"]
['self', 'x', 'y', 'args', 'kw']
>>> info["defaults"]
(1, 2)
>>> info["signature"]
'self, x, y, *args, **kw'
"""
assert inspect.ismethod(func) or inspect.isfunction(func)
regargs, varargs, varkwargs, defaults = inspect.getargspec(func)
argnames = list(regargs)
if varargs:
argnames.append(varargs)
if varkwargs:
argnames.append(varkwargs)
signature = inspect.formatargspec(regargs, varargs, varkwargs, defaults,
formatvalue=lambda value: "")[1:-1]
return dict(name=func.__name__, argnames=argnames, signature=signature,
defaults = func.func_defaults, doc=func.__doc__,
module=func.__module__, dict=func.__dict__,
globals=func.func_globals, closure=func.func_closure)
@deprecated
def update_wrapper(wrapper, model, infodict=None):
"A replacement for functools.update_wrapper"
infodict = infodict or getinfo(model)
wrapper.__name__ = infodict['name']
wrapper.__doc__ = infodict['doc']
wrapper.__module__ = infodict['module']
wrapper.__dict__.update(infodict['dict'])
wrapper.func_defaults = infodict['defaults']
wrapper.undecorated = model
return wrapper
@deprecated
def new_wrapper(wrapper, model):
"""
An improvement over functools.update_wrapper. The wrapper is a generic
callable object. It works by generating a copy of the wrapper with the
right signature and by updating the copy, not the original.
Moreovoer, 'model' can be a dictionary with keys 'name', 'doc', 'module',
'dict', 'defaults'.
"""
if isinstance(model, dict):
infodict = model
else: # assume model is a function
infodict = getinfo(model)
assert not '_wrapper_' in infodict["argnames"], (
'"_wrapper_" is a reserved argument name!')
src = "lambda %(signature)s: _wrapper_(%(signature)s)" % infodict
funcopy = eval(src, dict(_wrapper_=wrapper))
return update_wrapper(funcopy, model, infodict)