//-------------------------------------------------------------------------
        /// <summary>
        /// Write sensitivities to an appendable in the standard sensitivities format.
        /// <para>
        /// The output is written in standard format, with no identifier columns.
        /// The parameter metadata must contain tenors.
        ///
        /// </para>
        /// </summary>
        /// <param name="curveSens">  the curve sensitivities to write </param>
        /// <param name="output">  the appendable to write to </param>
        /// <exception cref="IllegalArgumentException"> if the metadata does not contain tenors </exception>
        /// <exception cref="UncheckedIOException"> if an IO error occurs </exception>
        public void write(CurveSensitivities curveSens, Appendable output)
        {
            CsvOutput      csv = CsvOutput.standard(output, "\n");
            IList <string> additionalHeaders = supplier.headers(curveSens);

            // check for dates
            if (curveSens.TypedSensitivities.values().stream().flatMap(allParamSens => allParamSens.Sensitivities.stream()).flatMap(paramSens => paramSens.ParameterMetadata.stream()).anyMatch(pmd => !(pmd is TenoredParameterMetadata)))
            {
                throw new System.ArgumentException("Parameter metadata must contain tenors");
            }
            bool containsDates = curveSens.TypedSensitivities.values().stream().flatMap(allParamSens => allParamSens.Sensitivities.stream()).flatMap(paramSens => paramSens.ParameterMetadata.stream()).anyMatch(pmd => pmd is DatedParameterMetadata);

            // headers
            csv.writeCell(SensitivityCsvLoader.REFERENCE_HEADER);
            csv.writeCell(SensitivityCsvLoader.TYPE_HEADER);
            csv.writeCell(SensitivityCsvLoader.TENOR_HEADER);
            if (containsDates)
            {
                csv.writeCell(SensitivityCsvLoader.DATE_HEADER);
            }
            csv.writeCell(SensitivityCsvLoader.CURRENCY_HEADER);
            csv.writeCell(SensitivityCsvLoader.VALUE_HEADER);
            csv.writeLine(additionalHeaders);

            // content, grouped by reference, then type
            MapStream.of(curveSens.TypedSensitivities).flatMapValues(sens => sens.Sensitivities.stream()).mapKeys((type, sens) => Pair.of(sens.MarketDataName.Name, type)).sortedKeys().forEach((pair, paramSens) => write(pair.First, pair.Second, curveSens, paramSens, additionalHeaders, containsDates, csv));
        }
        // writes the rows for a single CurrencyParameterSensitivity
        private void write(string reference, CurveSensitivitiesType type, CurveSensitivities curveSens, CurrencyParameterSensitivity paramSens, IList <string> additionalHeaders, bool containsDates, CsvOutput csv)
        {
            IList <string> additionalCells = supplier.values(additionalHeaders, curveSens, paramSens);

            for (int i = 0; i < paramSens.ParameterCount; i++)
            {
                ParameterMetadata pmd   = paramSens.getParameterMetadata(i);
                Tenor             tenor = ((TenoredParameterMetadata)pmd).Tenor;
                double            value = paramSens.Sensitivity.get(i);
                csv.writeCell(reference);
                csv.writeCell(type.Name);
                csv.writeCell(tenor.ToString());
                if (containsDates)
                {
                    csv.writeCell(pmd is DatedParameterMetadata ? ((DatedParameterMetadata)pmd).Date.ToString() : "");
                }
                csv.writeCell(paramSens.Currency.Code);
                csv.writeCell(decimal.valueOf(value).toPlainString());
                csv.writeLine(additionalCells);
            }
        }