Method _repr_compare

src/_pytest/python_api.py:241–298

(self, other_side: Mapping[object, float])

        return f"approx({ ({k: self._approx_scalar(v) for k, v in self.expected.items()})!r})"

    def _repr_compare(self, other_side: Mapping[object, float]) -> list[str]:
        import math

        if len(self.expected) != len(other_side):
            return [
                "Impossible to compare mappings with different sizes.",
                f"Lengths: {len(self.expected)} and {len(other_side)}",
            ]

        if self.expected.keys() != other_side.keys():
            return [
                "comparison failed.",
                f"Mappings has different keys: expected {self.expected.keys()} but got {other_side.keys()}",
            ]

        approx_side_as_map = {
            k: self._approx_scalar(v) for k, v in self.expected.items()
        }

        number_of_elements = len(approx_side_as_map)
        max_abs_diff = -math.inf
        max_rel_diff = -math.inf
        different_ids = []
        for approx_key, approx_value in approx_side_as_map.items():
            other_value = other_side[approx_key]
            if approx_value != other_value:
                if approx_value.expected is not None and other_value is not None:
                    try:
                        max_abs_diff = max(
                            max_abs_diff, abs(approx_value.expected - other_value)
                        )
                        if approx_value.expected == 0.0:
                            max_rel_diff = math.inf
                        else:
                            max_rel_diff = max(
                                max_rel_diff,
                                abs(
                                    (approx_value.expected - other_value)
                                    / approx_value.expected
                                ),
                            )
                    except ZeroDivisionError:
                        pass
                different_ids.append(approx_key)

        message_data = [
            (str(key), str(other_side[key]), str(approx_side_as_map[key]))
            for key in different_ids
        ]

        return _compare_approx(
            self.expected,
            message_data,
            number_of_elements,
            different_ids,
            max_abs_diff,
            max_rel_diff,
        )