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__init__.py
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__pycache__
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newbytes.py
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newdict.py
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newint.py
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newlist.py
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newmemoryview.py
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newobject.py
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newopen.py
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newrange.py
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newstr.py
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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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