Function robust_any_difference

numpy/testing/_private/utils.py:759–775

(x, y)

        return x.dtype.char == "T"

    def robust_any_difference(x, y):
        # We include work-arounds here to handle three types of slightly
        # pathological ndarray subclasses:
        # (1) all() on fully masked arrays returns np.ma.masked, so we use != True
        #     (np.ma.masked != True evaluates as np.ma.masked, which is falsy).
        # (2) __eq__ on some ndarray subclasses returns Python booleans
        #     instead of element-wise comparisons, so we cast to np.bool() in
        #     that case (or in case __eq__ returns some other value with no
        #     all() method).
        # (3) subclasses with bare-bones __array_function__ implementations may
        #     not implement np.all(), so favor using the .all() method
        # We are not committed to supporting cases (2) and (3), but it's nice to
        # support them if possible.
        result = x == y
        if not hasattr(result, "all") or not callable(result.all):
            result = np.bool(result)
        return result.all() != True

    def func_assert_same_pos(x, y, func=isnan, hasval='nan'):
        """Handling nan/inf.