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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 clean(self, data):
 """ Translates the value stored in the imported datasource to an appropriate Python object and returns it. """

        try:
            value = data[self.column_name]
        except KeyError:
            raise KeyError("Column '%s' not found in dataset. Available "
                           "columns are: %s" % (self.column_name, list(data)))

        # If ValueError is raised here, import_obj() will handle it
        value = self.widget.clean(value, row=data)

        if value in self.empty_values and self.default != NOT_PROVIDED:
            if callable(self.default):
                return self.default()
            return self.default

        return value