(Bitbake rev: bf9391c60d8dd9eeaca87783cb874c56fa7a4e91) Signed-off-by: Chris Larson <chris_larson@mentor.com> Signed-off-by: Richard Purdie <richard.purdie@linuxfoundation.org>
256 lines
8.5 KiB
Python
256 lines
8.5 KiB
Python
# http://code.activestate.com/recipes/577629-namedtupleabc-abstract-base-class-mix-in-for-named/
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#!/usr/bin/env python
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# Copyright (c) 2011 Jan Kaliszewski (zuo). Available under the MIT License.
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"""
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namedtuple_with_abc.py:
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* named tuple mix-in + ABC (abstract base class) recipe,
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* works under Python 2.6, 2.7 as well as 3.x.
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Import this module to patch collections.namedtuple() factory function
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-- enriching it with the 'abc' attribute (an abstract base class + mix-in
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for named tuples) and decorating it with a wrapper that registers each
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newly created named tuple as a subclass of namedtuple.abc.
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How to import:
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import collections, namedtuple_with_abc
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or:
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import namedtuple_with_abc
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from collections import namedtuple
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# ^ in this variant you must import namedtuple function
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# *after* importing namedtuple_with_abc module
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or simply:
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from namedtuple_with_abc import namedtuple
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Simple usage example:
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class Credentials(namedtuple.abc):
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_fields = 'username password'
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def __str__(self):
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return ('{0.__class__.__name__}'
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'(username={0.username}, password=...)'.format(self))
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print(Credentials("alice", "Alice's password"))
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For more advanced examples -- see below the "if __name__ == '__main__':".
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"""
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import collections
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from abc import ABCMeta, abstractproperty
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from functools import wraps
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from sys import version_info
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__all__ = ('namedtuple',)
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_namedtuple = collections.namedtuple
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class _NamedTupleABCMeta(ABCMeta):
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'''The metaclass for the abstract base class + mix-in for named tuples.'''
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def __new__(mcls, name, bases, namespace):
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fields = namespace.get('_fields')
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for base in bases:
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if fields is not None:
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break
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fields = getattr(base, '_fields', None)
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if not isinstance(fields, abstractproperty):
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basetuple = _namedtuple(name, fields)
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bases = (basetuple,) + bases
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namespace.pop('_fields', None)
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namespace.setdefault('__doc__', basetuple.__doc__)
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namespace.setdefault('__slots__', ())
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return ABCMeta.__new__(mcls, name, bases, namespace)
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exec(
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# Python 2.x metaclass declaration syntax
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"""class _NamedTupleABC(object):
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'''The abstract base class + mix-in for named tuples.'''
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__metaclass__ = _NamedTupleABCMeta
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_fields = abstractproperty()""" if version_info[0] < 3 else
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# Python 3.x metaclass declaration syntax
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"""class _NamedTupleABC(metaclass=_NamedTupleABCMeta):
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'''The abstract base class + mix-in for named tuples.'''
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_fields = abstractproperty()"""
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)
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_namedtuple.abc = _NamedTupleABC
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#_NamedTupleABC.register(type(version_info)) # (and similar, in the future...)
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@wraps(_namedtuple)
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def namedtuple(*args, **kwargs):
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'''Named tuple factory with namedtuple.abc subclass registration.'''
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cls = _namedtuple(*args, **kwargs)
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_NamedTupleABC.register(cls)
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return cls
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collections.namedtuple = namedtuple
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if __name__ == '__main__':
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'''Examples and explanations'''
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# Simple usage
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class MyRecord(namedtuple.abc):
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_fields = 'x y z' # such form will be transformed into ('x', 'y', 'z')
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def _my_custom_method(self):
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return list(self._asdict().items())
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# (the '_fields' attribute belongs to the named tuple public API anyway)
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rec = MyRecord(1, 2, 3)
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print(rec)
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print(rec._my_custom_method())
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print(rec._replace(y=222))
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print(rec._replace(y=222)._my_custom_method())
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# Custom abstract classes...
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class MyAbstractRecord(namedtuple.abc):
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def _my_custom_method(self):
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return list(self._asdict().items())
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try:
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MyAbstractRecord() # (abstract classes cannot be instantiated)
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except TypeError as exc:
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print(exc)
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class AnotherAbstractRecord(MyAbstractRecord):
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def __str__(self):
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return '<<<{0}>>>'.format(super(AnotherAbstractRecord,
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self).__str__())
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# ...and their non-abstract subclasses
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class MyRecord2(MyAbstractRecord):
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_fields = 'a, b'
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class MyRecord3(AnotherAbstractRecord):
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_fields = 'p', 'q', 'r'
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rec2 = MyRecord2('foo', 'bar')
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print(rec2)
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print(rec2._my_custom_method())
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print(rec2._replace(b=222))
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print(rec2._replace(b=222)._my_custom_method())
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rec3 = MyRecord3('foo', 'bar', 'baz')
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print(rec3)
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print(rec3._my_custom_method())
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print(rec3._replace(q=222))
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print(rec3._replace(q=222)._my_custom_method())
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# You can also subclass non-abstract ones...
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class MyRecord33(MyRecord3):
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def __str__(self):
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return '< {0!r}, ..., {0!r} >'.format(self.p, self.r)
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rec33 = MyRecord33('foo', 'bar', 'baz')
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print(rec33)
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print(rec33._my_custom_method())
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print(rec33._replace(q=222))
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print(rec33._replace(q=222)._my_custom_method())
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# ...and even override the magic '_fields' attribute again
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class MyRecord345(MyRecord3):
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_fields = 'e f g h i j k'
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rec345 = MyRecord345(1, 2, 3, 4, 3, 2, 1)
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print(rec345)
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print(rec345._my_custom_method())
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print(rec345._replace(f=222))
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print(rec345._replace(f=222)._my_custom_method())
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# Mixing-in some other classes is also possible:
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class MyMixIn(object):
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def method(self):
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return "MyMixIn.method() called"
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def _my_custom_method(self):
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return "MyMixIn._my_custom_method() called"
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def count(self, item):
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return "MyMixIn.count({0}) called".format(item)
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def _asdict(self): # (cannot override a namedtuple method, see below)
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return "MyMixIn._asdict() called"
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class MyRecord4(MyRecord33, MyMixIn): # mix-in on the right
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_fields = 'j k l x'
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class MyRecord5(MyMixIn, MyRecord33): # mix-in on the left
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_fields = 'j k l x y'
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rec4 = MyRecord4(1, 2, 3, 2)
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print(rec4)
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print(rec4.method())
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print(rec4._my_custom_method()) # MyRecord33's
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print(rec4.count(2)) # tuple's
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print(rec4._replace(k=222))
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print(rec4._replace(k=222).method())
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print(rec4._replace(k=222)._my_custom_method()) # MyRecord33's
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print(rec4._replace(k=222).count(8)) # tuple's
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rec5 = MyRecord5(1, 2, 3, 2, 1)
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print(rec5)
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print(rec5.method())
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print(rec5._my_custom_method()) # MyMixIn's
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print(rec5.count(2)) # MyMixIn's
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print(rec5._replace(k=222))
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print(rec5._replace(k=222).method())
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print(rec5._replace(k=222)._my_custom_method()) # MyMixIn's
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print(rec5._replace(k=222).count(2)) # MyMixIn's
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# None that behavior: the standard namedtuple methods cannot be
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# overriden by a foreign mix-in -- even if the mix-in is declared
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# as the leftmost base class (but, obviously, you can override them
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# in the defined class or its subclasses):
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print(rec4._asdict()) # (returns a dict, not "MyMixIn._asdict() called")
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print(rec5._asdict()) # (returns a dict, not "MyMixIn._asdict() called")
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class MyRecord6(MyRecord33):
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_fields = 'j k l x y z'
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def _asdict(self):
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return "MyRecord6._asdict() called"
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rec6 = MyRecord6(1, 2, 3, 1, 2, 3)
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print(rec6._asdict()) # (this returns "MyRecord6._asdict() called")
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# All that record classes are real subclasses of namedtuple.abc:
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assert issubclass(MyRecord, namedtuple.abc)
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assert issubclass(MyAbstractRecord, namedtuple.abc)
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assert issubclass(AnotherAbstractRecord, namedtuple.abc)
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assert issubclass(MyRecord2, namedtuple.abc)
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assert issubclass(MyRecord3, namedtuple.abc)
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assert issubclass(MyRecord33, namedtuple.abc)
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assert issubclass(MyRecord345, namedtuple.abc)
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assert issubclass(MyRecord4, namedtuple.abc)
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assert issubclass(MyRecord5, namedtuple.abc)
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assert issubclass(MyRecord6, namedtuple.abc)
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# ...but abstract ones are not subclasses of tuple
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# (and this is what you probably want):
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assert not issubclass(MyAbstractRecord, tuple)
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assert not issubclass(AnotherAbstractRecord, tuple)
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assert issubclass(MyRecord, tuple)
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assert issubclass(MyRecord2, tuple)
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assert issubclass(MyRecord3, tuple)
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assert issubclass(MyRecord33, tuple)
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assert issubclass(MyRecord345, tuple)
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assert issubclass(MyRecord4, tuple)
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assert issubclass(MyRecord5, tuple)
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assert issubclass(MyRecord6, tuple)
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# Named tuple classes created with namedtuple() factory function
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# (in the "traditional" way) are registered as "virtual" subclasses
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# of namedtuple.abc:
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MyTuple = namedtuple('MyTuple', 'a b c')
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mt = MyTuple(1, 2, 3)
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assert issubclass(MyTuple, namedtuple.abc)
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assert isinstance(mt, namedtuple.abc)
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