New submission from Aaron Hall:

Based on the data-model documentation 
(https://docs.python.org/2/reference/datamodel.html#invoking-descriptors) and 
the dotted lookup behavior, the follow definitions are correct:

"If the descriptor defines __set__() and/or __delete__(), it is a data 
descriptor; if it defines neither, it is a non-data descriptor."

def has_data_descriptor_attrs(obj):
    return set(['__set__', '__delete__']) & set(dir(obj))

def is_data_descriptor(obj):
    return bool(has_data_descriptor_attrs(obj))


However, the inspect module has the following, which is also reflected in the 
descriptor how-to 
(https://docs.python.org/2/howto/descriptor.html#descriptor-protocol):

"If an object defines both __get__() and __set__(), it is considered a data 
descriptor."

def isdatadescriptor(object):
    """Return true if the object is a data descriptor.

    Data descriptors have both a __get__ and a __set__ attribute..."""
    if isclass(object) or ismethod(object) or isfunction(object):
        # mutual exclusion
        return False
    tp = type(object)
    return hasattr(tp, "__set__") and hasattr(tp, "__get__")


I'm willing to sign a contributor release and fix myself.

----------
messages: 258168
nosy: Aaron Hall
priority: normal
severity: normal
status: open
title: Contradiction in definition of "data descriptor" between (dotted lookup 
behavior/datamodel documentation) and (inspect lib/descriptor how-to)
type: behavior
versions: Python 2.7, Python 3.2, Python 3.3, Python 3.4, Python 3.5, Python 3.6

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Python tracker <rep...@bugs.python.org>
<http://bugs.python.org/issue26103>
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