Recently I am learning about django source code from utils folder. But about* functional* file, I don't know the meaning of lazy function. Can anyboby help me to explain about the meaning about it? Thanks
The code: class Promise(object): """ This is just a base class for the proxy class created in the closure of the lazy function. It can be used to recognize promises in code. """ pass def lazy(func, *resultclasses): """ Turns any callable into a lazy evaluated callable. You need to give result classes or types -- at least one is needed so that the automatic forcing of the lazy evaluation code is triggered. Results are not memoized; the function is evaluated on every access. """ ''' @functools.total_ordering Given a class defining one or more rich comparison ordering methods, this class decorator supplies the rest. This simplifies the effort involved in specifying all of the possible rich comparison operations: The class must define one of __lt__(), __le__(), __gt__(), or __ge__(). In addition, the class should supply an __eq__() method. For example: @total_ordering class Student: def _is_valid_operand(self, other): return (hasattr(other, "lastname") and hasattr(other, "firstname")) def __eq__(self, other): if not self._is_valid_operand(other): return NotImplemented return ((self.lastname.lower(), self.firstname.lower()) == (other.lastname.lower(), other.firstname.lower())) def __lt__(self, other): if not self._is_valid_operand(other): return NotImplemented return ((self.lastname.lower(), self.firstname.lower()) < (other.lastname.lower(), other.firstname.lower())) ''' @total_ordering class __proxy__(Promise): """ Encapsulate a function call and act as a proxy for methods that are called on the result of that function. The function is not evaluated until one of the methods on the result is called. """ __dispatch = None def __init__(self, args, kw): self.__args = args self.__kw = kw if self.__dispatch is None: self.__prepare_class__() def __reduce__(self): return ( _lazy_proxy_unpickle, (func, self.__args, self.__kw) + resultclasses ) @classmethod def __prepare_class__(cls): cls.__dispatch = {} for resultclass in resultclasses: cls.__dispatch[resultclass] = {} for type_ in reversed(resultclass.mro()): for (k, v) in type_.__dict__.items(): # All __promise__ return the same wrapper method, but # they also do setup, inserting the method into the # dispatch dict. meth = cls.__promise__(resultclass, k, v) if hasattr(cls, k): continue setattr(cls, k, meth) cls._delegate_bytes = bytes in resultclasses cls._delegate_text = six.text_type in resultclasses assert not (cls._delegate_bytes and cls._delegate_text), "Cannot call lazy() with both bytes and text return types." if cls._delegate_text: if six.PY3: cls.__str__ = cls.__text_cast else: cls.__unicode__ = cls.__text_cast elif cls._delegate_bytes: if six.PY3: cls.__bytes__ = cls.__bytes_cast else: cls.__str__ = cls.__bytes_cast @classmethod def __promise__(cls, klass, funcname, method): # Builds a wrapper around some magic method and registers that # magic method for the given type and method name. def __wrapper__(self, *args, **kw): # Automatically triggers the evaluation of a lazy value and # applies the given magic method of the result type. res = func(*self.__args, **self.__kw) for t in type(res).mro(): if t in self.__dispatch: return self.__dispatch[t][funcname](res, *args, **kw ) raise TypeError("Lazy object returned unexpected type.") if klass not in cls.__dispatch: cls.__dispatch[klass] = {} cls.__dispatch[klass][funcname] = method return __wrapper__ def __text_cast(self): return func(*self.__args, **self.__kw) def __bytes_cast(self): return bytes(func(*self.__args, **self.__kw)) def __cast(self): if self._delegate_bytes: return self.__bytes_cast() elif self._delegate_text: return self.__text_cast() else: return func(*self.__args, **self.__kw) def __ne__(self, other): if isinstance(other, Promise): other = other.__cast() return self.__cast() != other def __eq__(self, other): if isinstance(other, Promise): other = other.__cast() return self.__cast() == other def __lt__(self, other): if isinstance(other, Promise): other = other.__cast() return self.__cast() < other def __hash__(self): return hash(self.__cast()) def __mod__(self, rhs): if self._delegate_bytes and six.PY2: return bytes(self) % rhs elif self._delegate_text: return six.text_type(self) % rhs return self.__cast() % rhs def __deepcopy__(self, memo): # Instances of this class are effectively immutable. It's just a # collection of functions. So we don't need to do anything # complicated for copying. memo[id(self)] = self return self @wraps(func) def __wrapper__(*args, **kw): # Creates the proxy object, instead of the actual value. return __proxy__(args, kw) return __wrapper__ -- You received this message because you are subscribed to the Google Groups "Django users" group. To unsubscribe from this group and stop receiving emails from it, send an email to django-users+unsubscr...@googlegroups.com. To post to this group, send email to django-users@googlegroups.com. Visit this group at http://groups.google.com/group/django-users. To view this discussion on the web visit https://groups.google.com/d/msgid/django-users/ff3d561e-148d-4ce3-a7dd-7df73e0f8bcf%40googlegroups.com. For more options, visit https://groups.google.com/d/optout.