Python pickle.BUILD属性代码示例

# 需要导入模块: import pickle [as 别名]
# 或者: from pickle import BUILD [as 别名]
def save_inst(self, obj):
        """Inner logic to save instance. Based off pickle.save_inst"""
        cls = obj.__class__

        # Try the dispatch table (pickle module doesn't do it)
        f = self.dispatch.get(cls)
        if f:
            f(self, obj)  # Call unbound method with explicit self
            return

        memo = self.memo
        write = self.write
        save = self.save

        if hasattr(obj, '__getinitargs__'):
            args = obj.__getinitargs__()
            len(args)  # XXX Assert it's a sequence
            pickle._keep_alive(args, memo)
        else:
            args = ()

        write(pickle.MARK)

        if self.bin:
            save(cls)
            for arg in args:
                save(arg)
            write(pickle.OBJ)
        else:
            for arg in args:
                save(arg)
            write(pickle.INST + cls.__module__ + '\n' + cls.__name__ + '\n')

        self.memoize(obj)

        try:
            getstate = obj.__getstate__
        except AttributeError:
            stuff = obj.__dict__
        else:
            stuff = getstate()
            pickle._keep_alive(stuff, memo)
        save(stuff)
        write(pickle.BUILD) 

# 需要导入模块: import pickle [as 别名]
# 或者: from pickle import BUILD [as 别名]
def save_inst_logic(self, obj):
        """Inner logic to save instance. Based off pickle.save_inst
        Supports __transient__"""
        cls = obj.__class__

        memo  = self.memo
        write = self.write
        save  = self.save

        if hasattr(obj, '__getinitargs__'):
            args = obj.__getinitargs__()
            len(args) # XXX Assert it's a sequence
            pickle._keep_alive(args, memo)
        else:
            args = ()

        write(pickle.MARK)

        if self.bin:
            save(cls)
            for arg in args:
                save(arg)
            write(pickle.OBJ)
        else:
            for arg in args:
                save(arg)
            write(pickle.INST + cls.__module__ + '\n' + cls.__name__ + '\n')

        self.memoize(obj)

        try:
            getstate = obj.__getstate__
        except AttributeError:
            stuff = obj.__dict__
            #remove items if transient
            if hasattr(obj, '__transient__'):
                transient = obj.__transient__
                stuff = stuff.copy()
                for k in list(stuff.keys()):
                    if k in transient:
                        del stuff[k]
        else:
            stuff = getstate()
            pickle._keep_alive(stuff, memo)
        save(stuff)
        write(pickle.BUILD) 

# 需要导入模块: import pickle [as 别名]
# 或者: from pickle import BUILD [as 别名]
def save_reduce(self, func, args, state=None,
                    listitems=None, dictitems=None, obj=None):
        # Assert that args is a tuple or None
        if not isinstance(args, tuple):
            raise pickle.PicklingError("args from reduce() should be a tuple")

        # Assert that func is callable
        if not hasattr(func, '__call__'):
            raise pickle.PicklingError("func from reduce should be callable")

        save = self.save
        write = self.write

        # Protocol 2 special case: if func's name is __newobj__, use NEWOBJ
        if self.proto >= 2 and getattr(func, "__name__", "") == "__newobj__":
            cls = args[0]
            if not hasattr(cls, "__new__"):
                raise pickle.PicklingError(
                    "args[0] from __newobj__ args has no __new__")
            if obj is not None and cls is not obj.__class__:
                raise pickle.PicklingError(
                    "args[0] from __newobj__ args has the wrong class")
            args = args[1:]
            save(cls)

            save(args)
            write(pickle.NEWOBJ)
        else:
            save(func)
            save(args)
            write(pickle.REDUCE)

        if obj is not None:
            self.memoize(obj)

        # More new special cases (that work with older protocols as
        # well): when __reduce__ returns a tuple with 4 or 5 items,
        # the 4th and 5th item should be iterators that provide list
        # items and dict items (as (key, value) tuples), or None.

        if listitems is not None:
            self._batch_appends(listitems)

        if dictitems is not None:
            self._batch_setitems(dictitems)

        if state is not None:
            save(state)
            write(pickle.BUILD) 

# 需要导入模块: import pickle [as 别名]
# 或者: from pickle import BUILD [as 别名]
def save_inst(self, obj):
    """Inner logic to save instance. Based off pickle.save_inst"""
    cls = obj.__class__

    # Try the dispatch table (pickle module doesn't do it)
    f = self.dispatch.get(cls)
    if f:
      f(self, obj)  # Call unbound method with explicit self
      return

    memo = self.memo
    write = self.write
    save = self.save

    if hasattr(obj, '__getinitargs__'):
      args = obj.__getinitargs__()
      len(args)  # XXX Assert it's a sequence
      pickle._keep_alive(args, memo)
    else:
      args = ()

    write(pickle.MARK)

    if self.bin:
      save(cls)
      for arg in args:
        save(arg)
      write(pickle.OBJ)
    else:
      for arg in args:
        save(arg)
      write(pickle.INST + cls.__module__ + '\n' + cls.__name__ + '\n')

    self.memoize(obj)

    try:
      getstate = obj.__getstate__
    except AttributeError:
      stuff = obj.__dict__
    else:
      stuff = getstate()
      pickle._keep_alive(stuff, memo)
    save(stuff)
    write(pickle.BUILD)