The __len__ method calculates the length by converting self.items to a list, which might be inefficient. Consider directly returning len(self.__dict) instead.
def __len__(self) -> int:
return len(self.__dict)
suggestion (performance): Inefficient iteration.
The __iter__ method returns an iterator over self.items, which might be inefficient. Consider directly iterating over self.__dict.items() instead.
The nonzero method is deprecated in Python 3. Consider using bool instead.
suggestion (testing): Missing edge case tests for UDict initialization
Consider adding tests for initializing UDict with an empty dictionary, with a dictionary containing various data types, and with a dictionary containing nested dictionaries. This will ensure that the UDict initialization handles all potential edge cases.
suggestion (testing): Test for UDict get item with non-existent key
Consider adding a test case for getting an item with a non-existent key to ensure that the default value is returned correctly.
suggestion (testing): Test for UDict get method with invalid parameters
Consider adding a test case for the get method with invalid parameters (e.g., both key and index provided) to ensure that the appropriate exceptions are raised.
def test_get(self):
d = UDict({2: 1, 4: 91, 1: 12}, default=None)
self.assertEqual(d.get(index=1), d.get(key=2))
with self.assertRaises(ValueError):
d.get(key=2, index=1)
suggestion (code-quality): Replace if-expression with or (or-if-exp-identity)
self.__dict = dictionary or kwargs
(UDict.__init__)
__setitem__: suggestion (code-quality): Swap if/else branches of if expression to remove negation (swap-if-expression)
values = value if isinstance(value, (list, tuple)) else [value]
UDict
The
__len__
method calculates the length by convertingself.items
to a list, which might be inefficient. Consider directly returninglen(self.__dict)
instead.The
__iter__
method returns an iterator overself.items
, which might be inefficient. Consider directly iterating overself.__dict.items()
instead.The nonzero method is deprecated in Python 3. Consider using bool instead.
Consider adding tests for initializing UDict with an empty dictionary, with a dictionary containing various data types, and with a dictionary containing nested dictionaries. This will ensure that the UDict initialization handles all potential edge cases.
Consider adding a test case for getting an item with a non-existent key to ensure that the default value is returned correctly.
Consider adding a test case for the get method with invalid parameters (e.g., both key and index provided) to ensure that the appropriate exceptions are raised.
or
(or-if-exp-identity
)(
UDict.__init__
)__setitem__
: suggestion (code-quality): Swap if/else branches of if expression to remove negation (swap-if-expression
)