Python FunctionMaker.create方法代码示例

# 需要导入模块: from decorator import FunctionMaker [as 别名]
# 或者: from decorator.FunctionMaker import create [as 别名]
    def generic(func):

        typemap = {(object,) * len(dispatch_args): func}

        def when_type(*types):
            "Decorator to add a method that will be called for the given types"
            if len(types) != len(dispatch_args):
                raise TypeError('Length mismatch: expected %d types, got %d' %
                                (len(dispatch_args), len(types)))

            def dec(f):
                typemap[types] = f
                return f
            return dec

        def dispatch(dispatch_args, *args, **kw):
            types = tuple(type(arg) for arg in dispatch_args)
            try:  # fast path
                return typemap[types](*args, **kw)
            except KeyError:
                pass
            _gettypemap = typemap.get
            for types in itertools.product(*(t.__mro__ for t in types)):
                f = _gettypemap(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_({}, %(shortsignature)s)'.format(dispatch_str),
            dict(_f_=dispatch),
            when_type=when_type,
            default=func,
            typemap=typemap)

# 需要导入模块: from decorator import FunctionMaker [as 别名]
# 或者: from decorator.FunctionMaker import create [as 别名]
    def generate_ui_command(self, display_name, name=None, argspec=None, method=None, function=None):
        if name is None:
            name = display_name

        if argspec.args[0] == "self":
            argspec.args.pop(0)

        signature = "%s(self, %s)" % (name, inspect.formatargspec(formatvalue=lambda val: "", *argspec)[1:-1])
        # logger.error('sig=%s', signature)

        def func(self, *args, **kwargs):
            command = func.__command__
            return self(_meth=command, *args, **kwargs)

        func = FunctionMaker.create(
            signature,
            # "return _func_(self, command, %(shortsignature)s)",
            "return _func_(%(shortsignature)s)",
            dict(_func_=func),
            __command__=name,
        )

        func = types.MethodType(func, self)

        setattr(self, name, func)
        self._generated_ui_commands[name] = func

# 需要导入模块: from decorator import FunctionMaker [as 别名]
# 或者: from decorator.FunctionMaker import create [as 别名]
def decorator_apply(dec, func):
    """
    Decorate a function by preserving the signature even if dec
    is not a signature-preserving decorator.
    """
    return FunctionMaker.create(
        func, 'return decfunc(%(signature)s)',
        dict(decfunc=dec(func)), __wrapped__=func)

# 需要导入模块: from decorator import FunctionMaker [as 别名]
# 或者: from decorator.FunctionMaker import create [as 别名]
 def decorator_apply(dec, func):
   """Decorate a function by preserving the signature even if dec
   is not a signature-preserving decorator.
   This recipe is derived from
   http://micheles.googlecode.com/hg/decorator/documentation.html#id14
   """
   return FunctionMaker.create(
       func, 'return decorated(%(signature)s)',
       dict(decorated=dec(func)), __wrapped__=func)

# 需要导入模块: from decorator import FunctionMaker [as 别名]
# 或者: from decorator.FunctionMaker import create [as 别名]
def replace_funct(fnc, body):
    """Returns a function with a new body that replaces the given function. The
    signature of the original function is preserved in the new function.
    """
    fname = fnc.__name__
    spec = getargspec(fnc)
    sig = formatargspec(*spec)
    return FunctionMaker.create('%s%s' % (fname,sig), body, {}, defaults=spec[3],
                                doc=fnc.__doc__)

# 需要导入模块: from decorator import FunctionMaker [as 别名]
# 或者: from decorator.FunctionMaker import create [as 别名]
def decorator_apply(dec, func):
    """
    Decorate a function by preserving the signature even if dec
    is not a signature-preserving decorator.
    """
    if (type(func) ==  types.BuiltinFunctionType) or (type(func) == types.BuiltinMethodType):
       return builtin_decorator_apply(dec, func)
    # FunctionMaker doesn't seem to work for built-ins (i.e. compiled code, it should though).      
    return FunctionMaker.create(
        func, 'return decorated(%(signature)s)',
        dict(decorated=dec(func)), undecorated=func)

# 需要导入模块: from decorator import FunctionMaker [as 别名]
# 或者: from decorator.FunctionMaker import create [as 别名]
def forwarder(cls, fnc, delegatename):
    """Returns a method that forwards calls on the scoping object to calls 
    on the delegate object.  The signature of the delegate method is preserved
    in the forwarding method.
    """
    fname = fnc.__name__
    spec = getargspec(fnc)
    sig = formatargspec(*spec)
    body = "return self.%s.%s(%s)" % (delegatename, fname, ",".join(spec[0][1:]))
    f = FunctionMaker.create("%s%s" % (fname, sig), body, {}, defaults=spec[3], doc=fnc.__doc__)
    return types.MethodType(f, None, cls)

# 需要导入模块: from decorator import FunctionMaker [as 别名]
# 或者: from decorator.FunctionMaker import create [as 别名]
def _rpc(func):
    global _rpc_next_id, _rpc_map

    # Store function in the call map
    func_id = _rpc_next_id
    _rpc_next_id += 1
    _rpc_map[func_id] = func
    
    # For local usage of the function, append a _ in the name
    #globals()['_' + func.__name__] = func

    # Handle special parameter 'websocket'
    func_meta = inspect.getargspec(func)
    try:
        ws_idx = func_meta.args.index('ws')
    except ValueError:
        ws_idx = -1

    defaults = func_meta.defaults

    def ws_proxy_call(*args, **kwar):
        if len(args) > ws_idx:
            (ws_fd, ws_uid) = _ws_serialize(args[ws_idx])
            args = list(args)
            args[ws_idx] = ws_uid
            ws_locator = ws_idx
        else:
            try:
                ws = kwar['ws']
            except KeyError:
                ws = defaults[ws_idx]
            (ws_fd, ws_uid) = _ws_serialize(ws)
            kwar['ws'] = ws_uid
            ws_locator = None
        msg = pickle.dumps((func_id, args, kwar, ws_locator), pickle.HIGHEST_PROTOCOL)
        ret = fd_trick.send_with_fd(_call_endpoint, msg, ws_fd)
        if ret != len(msg):
            # TODO: Weird! Can this ever happen? Maybe if message is too big.
            # Do something about it...
            pass

    def proxy_call(*args, **kwar):
        msg = pickle.dumps((func_id, args, kwar), pickle.HIGHEST_PROTOCOL)
        ret = _call_endpoint.send(msg)
        if ret != len(msg):
            # TODO: Weird! Can this ever happen? Maybe if message is too big.
            # Do something about it...
            pass

    # Have no ideia of how this works, just copied from decorator.py:
    evaldict = func.func_globals.copy()
    evaldict['_call_'] = ws_proxy_call if ws_idx >= 0 else proxy_call
    return FunctionMaker.create(func, "return _call_(%(shortsignature)s)", evaldict)

# 需要导入模块: from decorator import FunctionMaker [as 别名]
# 或者: from decorator.FunctionMaker import create [as 别名]
def factory(name, params, templ, rx=re.compile(r'{([^}]+)\}')):
    "Return a factory of Query objects"
    def _makesql(namespace, kind, as_, globs):
        def evaluator(match):
            return str(eval(match.group(1), globs or {}, namespace))
        evaluated_templ = rx.sub(evaluator, templ)
        return Query(evaluated_templ, kind, as_)
    signature = "{}({}, kind, as_, globs)".format(name, ', '.join(params))
    body = 'return _makesql(dict({}), kind, as_, globs)'.format(
        ', '.join('%s=%s' % (p, p) for p in params))
    makesql = FunctionMaker.create(
        signature, body, dict(_makesql=_makesql), defaults=('all', None, None))
    makesql.__doc__ = 'Build query objects from the template\n' + templ
    makesql.templ = templ
    return makesql

# 需要导入模块: from decorator import FunctionMaker [as 别名]
# 或者: from decorator.FunctionMaker import create [as 别名]
 def init_wrapper(cls, delegate_class_list):
     """Returns a function that calls the wrapped class' __init__ function
     and then creates an instance of each delegate class in delegate_class_list.
     """
     fnc = cls.__init__
     spec = getargspec(fnc)
     sig = formatargspec(*spec)
     template = ["if not hasattr(self, '_delegates_'): self._delegates_ = {}"]
     for name, delegate in delegate_class_list:
         template.append('self.%s = %s(self)' % (name, delegate.__name__))
         template.append("self._delegates_['%s'] = self.%s" % (name,name))
     template.append('old_init__(%s)' % ','.join(spec[0]))
     f = FunctionMaker.create('__init__%s' % sig, '\n'.join(template), 
                              dict([(c.__name__,c) for n,c in delegate_class_list]+
                                   [('old_init__',fnc)]),
                              doc=fnc.__doc__, defaults=spec[3])
     return types.MethodType(f, None, cls)

# 需要导入模块: from decorator import FunctionMaker [as 别名]
# 或者: from decorator.FunctionMaker import create [as 别名]
def litetask(func):
    """
    Add monitoring support to the decorated function. The last argument
    must be a monitor object.
    """
    def wrapper(*args):
        monitor = args[-1]
        monitor.flush = noflush
        with monitor('total ' + func.__name__, measuremem=True):
            result = func(*args)
        delattr(monitor, 'flush')
        return result
    # NB: we need pickle=True because celery is using the worst possible
    # protocol; once we remove celery we can try to remove pickle=True
    return FunctionMaker.create(
        func, 'return _s_(_w_, (%(shortsignature)s,), pickle=True)',
        dict(_s_=safely_call, _w_=wrapper), task_func=func)

# 需要导入模块: from decorator import FunctionMaker [as 别名]
# 或者: from decorator.FunctionMaker import create [as 别名]
def litetask_futures(func):
    """
    Add monitoring support to the decorated function. The last argument
    must be a monitor object.
    """
    def wrapper(*args):
        monitor = args[-1]
        check_mem_usage(monitor)  # check if too much memory is used
        monitor.flush = NoFlush(monitor, func.__name__)
        with monitor('total ' + func.__name__, measuremem=True), \
                GroundShakingIntensityModel.forbid_instantiation():
            result = func(*args)
        rec_delattr(monitor, 'flush')
        return result
    # NB: we need pickle=True because celery is using the worst possible
    # protocol; once we remove celery we can try to remove pickle=True
    return FunctionMaker.create(
        func, 'return _s_(_w_, (%(shortsignature)s,), pickle=True)',
        dict(_s_=safely_call, _w_=wrapper), task_func=func)

# 需要导入模块: from decorator import FunctionMaker [as 别名]
# 或者: from decorator.FunctionMaker import create [as 别名]
    def decorator(f):
        # collect our argspec
        sig = signature(f)

        @wraps(f)
        def _(*args, **kwargs):
            bvals = sig.bind(*args, **kwargs)

            # replace with instance if desired
            for varname, val in bvals.arguments.items():
                anno = sig.parameters[varname].annotation

                if anno in classes or (len(classes) == 0 and anno != _empty):
                    bvals.arguments[varname] = anno(val)

            return f(*bvals.args, **bvals.kwargs)

        # create another layer by wrapping in a FunctionMaker. this is done
        # to preserve the original signature
        return FunctionMaker.create(
            f, 'return _(%(signature)s)', dict(_=_, __wrapped__=f)
        )

# 需要导入模块: from decorator import FunctionMaker [as 别名]
# 或者: from decorator.FunctionMaker import create [as 别名]
    def dec(f):
        check_is_argument(conn_arg, f)
        return FunctionMaker.create(f, '''\
with {}.opencopy() as {}, {}.begin():
    return _f_(%(shortsignature)s)
'''.format(conn_arg, conn_arg, conn_arg), dict(_f_=f))

# 需要导入模块: from decorator import FunctionMaker [as 别名]
# 或者: from decorator.FunctionMaker import create [as 别名]
 def decorator_apply(dec, func):
     return FunctionMaker.create(
         func, 'return decorated(%(signature)s)',
         dict(decorated=dec(func)), __wrapped__=func)