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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def _guess_normalized(self):
 """Returns true if the collated counts in `self._results` appear to be normalized. Notes ----- It's possible that the _results df has already been normalized, which can cause some methods to fail. This method lets us guess whether that's true and act accordingly. """

        return (
            getattr(self, "_normalized", False)
            or getattr(self, "_field", None) == "abundance"
            or bool((self._results.sum(axis=1).round(4) == 1.0).all())
        )