def __eq__()

in neuron_explainer/explanations/explanations.py [0:0]

• 18 lines of code
• 12 McCabe index (conditional complexity)

    def __eq__(self, other: Any) -> bool:
        if not isinstance(other, ScoredSequenceSimulation):
            return False
        if len(self.__dict__.keys()) != len(other.__dict__.keys()):
            return False
        # Since NaN != NaN in Python, we need to make an exception for this case when checking for equality
        # of two ScoredSequenceSimulation objects.
        for field_name in self.__dict__.keys():
            if field_name not in other.__dict__:
                return False
            self_val, other_val = self.__dict__[field_name], other.__dict__[field_name]
            if self_val != other_val:
                if not (
                    isinstance(self_val, float)
                    and math.isnan(self_val)
                    and isinstance(other_val, float)
                    and math.isnan(other_val)
                ):
                    return False
        return True