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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 values(self):
 """list of ndarray value-ids for each dimension in slice. The values for each dimension appear as an ndarray. None appears instead of the array for each dimension having only NaN values. """

        return [
            (
                np.array(dim.numeric_values)
                if (dim.numeric_values and any(~np.isnan(dim.numeric_values)))
                else None
            )
            for dim in self._slice.dimensions
        ]