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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 a column of the result of a pipeline. This needs to put the data into a format that can be used in a workspace to continue doing computations. Parameters result : pd.Series A multiindexed series with (dates, assets) whose values are the results of running this pipeline term over the dates. assets : pd.Index All of the assets being requested. This allows us to correctly shape the workspace value. Returns ------- workspace_value : array-like An array like value that the engine can consume. """

        return result.unstack().fillna(self.missing_value).reindex(
            columns=assets,
            fill_value=self.missing_value,
        ).values