Add more tests to the descriptor howto guide (GH-23506) (GH-23510)
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@ -170,7 +170,15 @@ the lookup or update:
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An interactive session shows that all access to the managed attribute *age* is
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logged, but that the regular attribute *name* is not logged::
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logged, but that the regular attribute *name* is not logged:
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.. testcode::
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:hide:
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import logging, sys
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logging.basicConfig(level=logging.INFO, stream=sys.stdout, force=True)
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.. doctest::
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>>> mary = Person('Mary M', 30) # The initial age update is logged
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INFO:root:Updating 'age' to 30
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@ -256,7 +264,15 @@ we call :func:`vars` to look up the descriptor without triggering it:
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>>> vars(vars(Person)['age'])
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{'public_name': 'age', 'private_name': '_age'}
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The new class now logs access to both *name* and *age*::
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The new class now logs access to both *name* and *age*:
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.. testcode::
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:hide:
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import logging, sys
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logging.basicConfig(level=logging.INFO, stream=sys.stdout, force=True)
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.. doctest::
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>>> pete = Person('Peter P', 10)
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INFO:root:Updating 'name' to 'Peter P'
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@ -433,7 +449,9 @@ Here's how the data validators can be used in a real class:
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self.kind = kind
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self.quantity = quantity
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The descriptors prevent invalid instances from being created::
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The descriptors prevent invalid instances from being created:
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.. doctest::
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>>> Component('Widget', 'metal', 5) # Blocked: 'Widget' is not all uppercase
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Traceback (most recent call last):
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@ -1227,7 +1245,10 @@ Now a new dictionary of unique keys can be constructed like this:
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.. doctest::
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>>> Dict.fromkeys('abracadabra')
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>>> d = Dict.fromkeys('abracadabra')
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>>> type(d) is Dict
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True
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>>> d
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{'a': None, 'b': None, 'r': None, 'c': None, 'd': None}
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Using the non-data descriptor protocol, a pure Python version of
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