懒惰评估:将操作转发到递延值

时间:2015-10-28 14:16:23

标签: python python-2.7 lazy-evaluation getattr

我已经实现了用于延迟评估转储到JSON的配置的类。没问题,只需扩展编码器以使用特定协议(固定方法/属性)主动评估类。

class DeferredCall(object):
  """Call that is evaluated lazyly"""
  def __init__(self, func, *func_args, **func_kwargs):
    self.func = func
    self.func_args = func_args
    self.func_kwargs = func_kwargs

  def resolve(self):  # called by JSON encoder
    return self.func(*self.func_args, **self.func_kwargs)

 a = DeferredCall(lambda: 1)
 a # gives <[module].DeferredCall at 0x1e99410>
 a.resolve() # gives 1

现在,功能强大的用户需要更多功率。即,直接对类进行操作而不是它们所代表的值。根据{{​​3}},这应该像实现魔术方法一样简单,例如__add____len__等。

添加

def __add__(self, other):
    return self.resolve() + other

def __add__(self, other):
    return self.resolve().__add__(other)

会正确地给我a + 3 == 4

实现所有魔术方法有点过分了。所以我尝试使用__getattr__

def __getattr__(self, item):
  return getattr(self.resolve(), item)

适用于a.__mul__(3) == 3,但a * 3 == 3TypeError: unsupported operand type(s) for *: 'DeferredCall' and 'int'一起爆炸。

那么有没有其他方法将运算符转发到包装值?理想情况下,没有冒险以编程方式编写代码或__getattribute__的麻烦。

1 个答案:

答案 0 :(得分:1)

在任何其他人需要的情况下发布我的解决方案。大多数&#34;内置&#34; */1 * * * * aide --check | echo "Start timestamp: `date +'%Y-%m-%d %H:%M:%S'`" > /var/log/aide/aide2.log *等操作在设计时不会使用len

我已经决定以编程方式创建方法

__getattr[ibute]__

基本上,魔术方法必须分为两类:自足方法和上下文方法。

直接创建自包含的,解析调用并执行魔术方法。例如,class DeferredCall(object): def __init__(self, func, *func_args, **func_kwargs): self.func = func self.func_args = func_args self.func_kwargs = func_kwargs def resolve(self): return self.func(*self.func_args, **self.func_kwargs) # magic must be resolved explicitly # self other - resolve in reflected order to allow other to resolve as well for so_magic in [("lt", "gt"), ("le", "ge"), ("eq", "eq"), ("ne", "ne"), ("add", "radd"), ("sub", "rsub"), ("mul", "rmul"), ("div", "rdiv"), ("truediv", "rtruediv"), ("floordiv", "rfloordiv"), ("mod", "rmod"), ("divmod", "rdivmod"), ("pow", "rpow"), ("lshift", "rlshift"), ("rshift", "rrshift"), ("and", "rand"), ("xor", "rxor"), ("or", "ror")]: for func_name, refl_name in [(so_magic[0], so_magic[1]), (so_magic[1], so_magic[0])]: exec("def __%(fname)s__(self, other):\n\ttry:\n\t\tres = other.__%(rname)s__(self.resolve())\n\t\tif res == NotImplemented:\n\t\t\traise AttributeError\n\texcept AttributeError:\n\t\tres = self.resolve().__%(fname)s__(other)\n\treturn res" % {"fname": func_name, "rname": refl_name}) # regular magic - immutable only for magic in ("str", "nonzero", "unicode", "getattr", "call", "len", "getitem", "missing", "iter", "reversed", "contains", "getslice", "neg", "pos", "abs", "invert", "complex", "int", "long", "float", "oct", "hex", "index"): exec("def __%(fname)s__(self, *args, **kwargs):\n\treturn self.resolve().__%(fname)s__(*args, **kwargs)" % {"fname": magic}) 被解析为:

len

上下文必须反转呼叫,例如&#34;大于&#34; def __len__(self, *args, **kwargs): return self.resolve().__len__(*args, **kwargs) 实际检查other是否小于&#34; other。如果两个对象都是延迟调用,则这是必需的,允许self自行解析;否则,许多方法都会引发other。仅当TypeError没有倒置版本时才使用直接评估。

other

有些调用可能会更有效地实现,因为python使用了一些技巧(这正是我的问题首先出现的地方)。例如,乘法可以利用交换性:

def __gt__(self, other):
  try:
    res = other.__lt__(self.resolve())
    if res == NotImplemented:
      raise AttributeError
  except AttributeError:
    res = self.resolve().__gt__(other)
  return res