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bpo-21145: Add cached_property decorator in functools (#6982)
Robust caching of calculated properties is harder than it looks at first glance, so add a solid, well-tested implementation to the standard library.
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4 changed files with 256 additions and 0 deletions
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@ -2313,5 +2313,171 @@ class TestSingleDispatch(unittest.TestCase):
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with self.assertRaisesRegex(TypeError, msg):
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f()
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class CachedCostItem:
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_cost = 1
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def __init__(self):
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self.lock = py_functools.RLock()
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@py_functools.cached_property
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def cost(self):
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"""The cost of the item."""
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with self.lock:
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self._cost += 1
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return self._cost
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class OptionallyCachedCostItem:
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_cost = 1
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def get_cost(self):
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"""The cost of the item."""
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self._cost += 1
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return self._cost
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cached_cost = py_functools.cached_property(get_cost)
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class CachedCostItemWait:
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def __init__(self, event):
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self._cost = 1
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self.lock = py_functools.RLock()
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self.event = event
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@py_functools.cached_property
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def cost(self):
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self.event.wait(1)
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with self.lock:
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self._cost += 1
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return self._cost
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class CachedCostItemWithSlots:
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__slots__ = ('_cost')
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def __init__(self):
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self._cost = 1
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@py_functools.cached_property
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def cost(self):
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raise RuntimeError('never called, slots not supported')
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class TestCachedProperty(unittest.TestCase):
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def test_cached(self):
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item = CachedCostItem()
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self.assertEqual(item.cost, 2)
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self.assertEqual(item.cost, 2) # not 3
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def test_cached_attribute_name_differs_from_func_name(self):
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item = OptionallyCachedCostItem()
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self.assertEqual(item.get_cost(), 2)
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self.assertEqual(item.cached_cost, 3)
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self.assertEqual(item.get_cost(), 4)
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self.assertEqual(item.cached_cost, 3)
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def test_threaded(self):
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go = threading.Event()
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item = CachedCostItemWait(go)
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num_threads = 3
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orig_si = sys.getswitchinterval()
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sys.setswitchinterval(1e-6)
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try:
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threads = [
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threading.Thread(target=lambda: item.cost)
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for k in range(num_threads)
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]
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with support.start_threads(threads):
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go.set()
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finally:
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sys.setswitchinterval(orig_si)
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self.assertEqual(item.cost, 2)
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def test_object_with_slots(self):
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item = CachedCostItemWithSlots()
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with self.assertRaisesRegex(
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TypeError,
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"No '__dict__' attribute on 'CachedCostItemWithSlots' instance to cache 'cost' property.",
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):
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item.cost
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def test_immutable_dict(self):
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class MyMeta(type):
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@py_functools.cached_property
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def prop(self):
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return True
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class MyClass(metaclass=MyMeta):
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pass
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with self.assertRaisesRegex(
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TypeError,
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"The '__dict__' attribute on 'MyMeta' instance does not support item assignment for caching 'prop' property.",
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):
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MyClass.prop
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def test_reuse_different_names(self):
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"""Disallow this case because decorated function a would not be cached."""
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with self.assertRaises(RuntimeError) as ctx:
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class ReusedCachedProperty:
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@py_functools.cached_property
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def a(self):
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pass
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b = a
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self.assertEqual(
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str(ctx.exception.__context__),
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str(TypeError("Cannot assign the same cached_property to two different names ('a' and 'b')."))
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)
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def test_reuse_same_name(self):
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"""Reusing a cached_property on different classes under the same name is OK."""
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counter = 0
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@py_functools.cached_property
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def _cp(_self):
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nonlocal counter
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counter += 1
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return counter
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class A:
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cp = _cp
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class B:
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cp = _cp
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a = A()
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b = B()
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self.assertEqual(a.cp, 1)
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self.assertEqual(b.cp, 2)
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self.assertEqual(a.cp, 1)
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def test_set_name_not_called(self):
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cp = py_functools.cached_property(lambda s: None)
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class Foo:
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pass
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Foo.cp = cp
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with self.assertRaisesRegex(
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TypeError,
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"Cannot use cached_property instance without calling __set_name__ on it.",
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):
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Foo().cp
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def test_access_from_class(self):
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self.assertIsInstance(CachedCostItem.cost, py_functools.cached_property)
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def test_doc(self):
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self.assertEqual(CachedCostItem.cost.__doc__, "The cost of the item.")
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if __name__ == '__main__':
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unittest.main()
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