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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 to_workspace_value(self, result, assets):
 """ Called with the result of a pipeline. This needs to return an object which can be put into the workspace to continue doing computations. This is the inverse of :func:`~zipline.pipeline.term.Term.postprocess`. """

        if self.dtype == int64_dtype:
            return super(Classifier, self).to_workspace_value(result, assets)

        assert isinstance(result.values, pd.Categorical), (
            'Expected a Categorical, got %r.' % type(result.values)
        )
        with_missing = pd.Series(
            data=pd.Categorical(
                result.values,
                result.values.categories.union([self.missing_value]),
            ),
            index=result.index,
        )
        return LabelArray(
            super(Classifier, self).to_workspace_value(
                with_missing,
                assets,
            ),
            self.missing_value,
        )