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""" A dict subclass for Python 3 that behaves like Python 2's dict Example use: >>> from past.builtins import dict >>> d1 = dict() # instead of {} for an empty dict >>> d2 = dict(key1='value1', key2='value2') The keys, values and items methods now return lists on Python 3.x and there are methods for iterkeys, itervalues, iteritems, and viewkeys etc. >>> for d in (d1, d2): ... assert isinstance(d.keys(), list) ... assert isinstance(d.values(), list) ... assert isinstance(d.items(), list) """ import sys from past.utils import with_metaclass _builtin_dict = dict ver = sys.version_info[:2] class BaseOldDict(type): def __instancecheck__(cls, instance): return isinstance(instance, _builtin_dict) class olddict(with_metaclass(BaseOldDict, _builtin_dict)): """ A backport of the Python 3 dict object to Py2 """ iterkeys = _builtin_dict.keys viewkeys = _builtin_dict.keys def keys(self): return list(super(olddict, self).keys()) itervalues = _builtin_dict.values viewvalues = _builtin_dict.values def values(self): return list(super(olddict, self).values()) iteritems = _builtin_dict.items viewitems = _builtin_dict.items def items(self): return list(super(olddict, self).items()) def has_key(self, k): """ D.has_key(k) -> True if D has a key k, else False """ return k in self # def __new__(cls, *args, **kwargs): # """ # dict() -> new empty dictionary # dict(mapping) -> new dictionary initialized from a mapping object's # (key, value) pairs # dict(iterable) -> new dictionary initialized as if via: # d = {} # for k, v in iterable: # d[k] = v # dict(**kwargs) -> new dictionary initialized with the name=value pairs # in the keyword argument list. For example: dict(one=1, two=2) # """ # # if len(args) == 0: # return super(olddict, cls).__new__(cls) # # Was: elif isinstance(args[0], newbytes): # # We use type() instead of the above because we're redefining # # this to be True for all unicode string subclasses. Warning: # # This may render newstr un-subclassable. # elif type(args[0]) == olddict: # return args[0] # # elif isinstance(args[0], _builtin_dict): # # value = args[0] # else: # value = args[0] # return super(olddict, cls).__new__(cls, value) def __native__(self): """ Hook for the past.utils.native() function """ return super(oldbytes, self) __all__ = ['olddict']