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📄 __init__.py(6.67 KB)
📁 __pycache__
📄 newbytes.py(15.92 KB)
📄 newdict.py(1.96 KB)
📄 newint.py(13.09 KB)
📄 newlist.py(2.23 KB)
📄 newmemoryview.py(712 B)
📄 newobject.py(3.28 KB)
📄 newopen.py(810 B)
📄 newrange.py(5.17 KB)
📄 newstr.py(15.39 KB)

Editing: newdict.py

"""
A dict subclass for Python 2 that behaves like Python 3's dict

Example use:

>>> from 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 iterators on Python 2.x
(with set-like behaviour on Python 2.7).

>>> for d in (d1, d2):
...     assert not isinstance(d.keys(), list)
...     assert not isinstance(d.values(), list)
...     assert not isinstance(d.items(), list)
"""

import sys

from future.utils import with_metaclass
from future.types.newobject import newobject

_builtin_dict = dict
ver = sys.version_info

class BaseNewDict(type):
    def __instancecheck__(cls, instance):
        if cls == newdict:
            return isinstance(instance, _builtin_dict)
        else:
            return issubclass(instance.__class__, cls)

class newdict(with_metaclass(BaseNewDict, _builtin_dict)):
    """
    A backport of the Python 3 dict object to Py2
    """

if ver >= (3,):
        # Inherit items, keys and values from `dict` in 3.x
        pass
    elif ver >= (2, 7):
        items = dict.viewitems
        keys = dict.viewkeys
        values = dict.viewvalues
    else:
        items = dict.iteritems
        keys = dict.iterkeys
        values = dict.itervalues

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)
        """

return super(newdict, cls).__new__(cls, *args)

def __native__(self):
        """
        Hook for the future.utils.native() function
        """
        return dict(self)

__all__ = ['newdict']

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Editing: newdict.py

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