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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 putmask(self, mask, value):
 """ Return a new Index of the values set with the mask. See Also -------- numpy.ndarray.putmask """

        values = self.values.copy()
        try:
            np.putmask(values, mask, self._convert_for_op(value))
            return self._shallow_copy(values)
        except (ValueError, TypeError) as err:
            if is_object_dtype(self):
                raise err

            # coerces to object
            return self.astype(object).putmask(mask, value)