ai-content-maker/.venv/Lib/site-packages/nltk/test/internals.doctest

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2024-05-03 04:18:51 +03:00
.. Copyright (C) 2001-2023 NLTK Project
.. For license information, see LICENSE.TXT
==========================================
Unit tests for the nltk.utilities module
==========================================
overridden()
~~~~~~~~~~~~
>>> from nltk.internals import overridden
The typical use case is in defining methods for an interface or
abstract base class, in such a way that subclasses don't have to
implement all of the methods:
>>> class EaterI(object):
... '''Subclass must define eat() or batch_eat().'''
... def eat(self, food):
... if overridden(self.batch_eat):
... return self.batch_eat([food])[0]
... else:
... raise NotImplementedError()
... def batch_eat(self, foods):
... return [self.eat(food) for food in foods]
As long as a subclass implements one method, it will be used to
perform the other method:
>>> class GoodEater1(EaterI):
... def eat(self, food):
... return 'yum'
>>> GoodEater1().eat('steak')
'yum'
>>> GoodEater1().batch_eat(['steak', 'peas'])
['yum', 'yum']
>>> class GoodEater2(EaterI):
... def batch_eat(self, foods):
... return ['yum' for food in foods]
>>> GoodEater2().eat('steak')
'yum'
>>> GoodEater2().batch_eat(['steak', 'peas'])
['yum', 'yum']
But if a subclass doesn't implement either one, then they'll get an
error when they try to call them. (nb this is better than infinite
recursion):
>>> class BadEater1(EaterI):
... pass
>>> BadEater1().eat('steak')
Traceback (most recent call last):
. . .
NotImplementedError
>>> BadEater1().batch_eat(['steak', 'peas'])
Traceback (most recent call last):
. . .
NotImplementedError
Trying to use the abstract base class itself will also result in an
error:
>>> class EaterI(EaterI):
... pass
>>> EaterI().eat('steak')
Traceback (most recent call last):
. . .
NotImplementedError
>>> EaterI().batch_eat(['steak', 'peas'])
Traceback (most recent call last):
. . .
NotImplementedError
It's ok to use intermediate abstract classes:
>>> class AbstractEater(EaterI):
... pass
>>> class GoodEater3(AbstractEater):
... def eat(self, food):
... return 'yum'
...
>>> GoodEater3().eat('steak')
'yum'
>>> GoodEater3().batch_eat(['steak', 'peas'])
['yum', 'yum']
>>> class GoodEater4(AbstractEater):
... def batch_eat(self, foods):
... return ['yum' for food in foods]
>>> GoodEater4().eat('steak')
'yum'
>>> GoodEater4().batch_eat(['steak', 'peas'])
['yum', 'yum']
>>> class BadEater2(AbstractEater):
... pass
>>> BadEater2().eat('steak')
Traceback (most recent call last):
. . .
NotImplementedError
>>> BadEater2().batch_eat(['steak', 'peas'])
Traceback (most recent call last):
. . .
NotImplementedError
Here's some extra tests:
>>> class A(object):
... def f(x): pass
>>> class B(A):
... def f(x): pass
>>> class C(A): pass
>>> class D(B): pass
>>> overridden(A().f)
False
>>> overridden(B().f)
True
>>> overridden(C().f)
False
>>> overridden(D().f)
True
It works for classic classes, too:
>>> class A:
... def f(x): pass
>>> class B(A):
... def f(x): pass
>>> class C(A): pass
>>> class D(B): pass
>>> overridden(A().f)
False
>>> overridden(B().f)
True
>>> overridden(C().f)
False
>>> overridden(D().f)
True
read_str()
~~~~~~~~~~~~
>>> from nltk.internals import read_str
Test valid scenarios
>>> read_str("'valid string'", 0)
('valid string', 14)
Now test invalid scenarios
>>> read_str("should error", 0)
Traceback (most recent call last):
...
nltk.internals.ReadError: Expected open quote at 0
>>> read_str("'should error", 0)
Traceback (most recent call last):
...
nltk.internals.ReadError: Expected close quote at 1