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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 recode(self, table: pd.DataFrame, validate=False) -> pd.DataFrame: """Pass the provided series obj through each recoder function sequentially and return the final result. Args: table (pd.DataFrame):
 A dataframe on which to apply recoding logic. validate (bool):
 If ``True``, recoded table must pass validation tests. """

        series = table[self.name]

        self._check_series_name(series)

        col = self.name

        data = series.copy()

        for recoder in self.recoders.values():
            try:
                data = recoder(data)
            except (BaseException) as err:
                raise RecodingError(col, recoder, err)

        if validate:
            failed_rows = find_failed_rows(self.validate(data.to_frame()))
            if failed_rows.shape[0] > 0:
                raise ValidationError(f"Rows that failed to validate for column '{self.name}':\n{failed_rows}")

        return data.to_frame()