# Comparison By default, two instances of *attrs* classes are equal if they have the same type and all their fields are equal. For that, *attrs* writes `__eq__` and `__ne__` methods for you. Additionally, if you pass `order=True`, *attrs* will also create a complete set of ordering methods: `__le__`, `__lt__`, `__ge__`, and `__gt__`. For equality, *attrs* will generate a statement comparing the types of both instances, and then comparing each attribute in turn using `==`. For order, *attrs* will: - Check if the types of the instances you're comparing are equal, - if so, create a tuple of all field values for each instance, - and finally perform the desired comparison operation on those tuples. (custom-comparison)= ## Customization As with other features, you can exclude fields from being involved in comparison operations: ```{doctest} >>> from attrs import define, field >>> @define ... class C: ... x: int ... y: int = field(eq=False) >>> C(1, 2) == C(1, 3) True ``` Additionally you can also pass a *callable* instead of a bool to both *eq* and *order*. It is then used as a key function like you may know from {func}`sorted`: ```{doctest} >>> @define ... class S: ... x: str = field(eq=str.lower) >>> S("foo") == S("FOO") True >>> @define(order=True) ... class C: ... x: str = field(order=int) >>> C("10") > C("2") True ``` This is especially useful when you have fields with objects that have atypical comparison properties. Common examples of such objects are [NumPy arrays](https://github.com/python-attrs/attrs/issues/435). To save you unnecessary boilerplate, *attrs* comes with the {func}`attrs.cmp_using` helper to create such functions. For NumPy arrays it would look like this: ```python import numpy @define class C: an_array = field(eq=attrs.cmp_using(eq=numpy.array_equal)) ``` :::{warning} Please note that *eq* and *order* are set *independently*, because *order* is `False` by default in {func}`~attrs.define` (but not in {func}`attr.s`). You can set both at once by using the *cmp* argument that we've undeprecated just for this use-case. :::