[Bug] There is a calculation logic error in the aggregate window query for overall standard deviation.

### Search before asking

- [X] I searched in the [issues](https://github.com/apache/iotdb/issues) and found nothing similar.

### Version

version 1.3.3 (Build: ad95a7e)

### Describe the bug and provide the minimal reproduce step

```
DROP DATABASE root.db0
CREATE TIMESERIES root.db0.t1.c0 INT32;

INSERT INTO root.db0.t1(timestamp, c0) VALUES (1641024000000, 72), (1641024005000, 112), (1641024010000, 152), (1641024015000, 192), (1641024020000, 232), (1641024025000, 272), (1641024030000, 312), (1641024035000, 352), (1641024040000, 392), (1641024045000, 432), (1641024050000, 472), (1641024055000, 512), (1641024060000, 552), (1641024065000, 592), (1641024070000, 632), (1641024075000, 672), (1641024080000, 712), (1641024085000, 752), (1641024090000, 792), (1641024095000, 832), (1641024100000, 872), (1641024105000, 912), (1641024110000, 952), (1641024115000, 992), (1641024120000, 1032), (1641024125000, 1072), (1641024130000, 1112), (1641024135000, 1152), (1641024140000, null), (1641024145000, 1232);
INSERT INTO root.db0.t1(timestamp, c0) VALUES (1641024150000, 1272), (1641024155000, 1312), (1641024160000, 1352), (1641024165000, 1392), (1641024170000, 1432), (1641024175000, 1472), (1641024180000, 1512), (1641024185000, 1552), (1641024190000, 1592), (1641024195000, 1632), (1641024200000, 1672), (1641024205000, 1712), (1641024210000, null), (1641024215000, 1792), (1641024220000, 1832), (1641024225000, 1872), (1641024230000, 1912), (1641024235000, 1952), (1641024240000, 1992), (1641024245000, 2032), (1641024250000, 2072), (1641024255000, 2112), (1641024260000, 2152), (1641024265000, 2192), (1641024270000, 2232), (1641024275000, 2272), (1641024280000, 2312), (1641024285000, 2352), (1641024290000, 2392), (1641024295000, 2432);
INSERT INTO root.db0.t1(timestamp, c0) VALUES (1641024300000, 2472), (1641024305000, 2512), (1641024310000, 2552), (1641024315000, 2592), (1641024320000, 2632), (1641024325000, 2672), (1641024330000, 2712), (1641024335000, 2752), (1641024340000, 2792), (1641024345000, null), (1641024350000, 2872), (1641024355000, 2912), (1641024360000, 2952), (1641024365000, 2992), (1641024370000, 3032), (1641024375000, 3072), (1641024380000, 3112), (1641024385000, 3152), (1641024390000, 3192), (1641024395000, 3232), (1641024400000, 3272), (1641024405000, 3312), (1641024410000, 3352), (1641024415000, 3392), (1641024420000, 3432), (1641024425000, 3472), (1641024430000, 3512), (1641024435000, 3552), (1641024440000, 3592), (1641024445000, 3632);
INSERT INTO root.db0.t1(timestamp, c0) VALUES (1641024450000, 3672), (1641024455000, null), (1641024460000, 3752), (1641024465000, null), (1641024470000, 3832), (1641024475000, 3872), (1641024480000, 3912), (1641024485000, 3952), (1641024490000, 3992), (1641024495000, 4032), (1641024500000, 4072), (1641024505000, 4112), (1641024510000, 4152), (1641024515000, 4192), (1641024520000, 4232), (1641024525000, 4272), (1641024530000, 4312), (1641024535000, 4352), (1641024540000, 4392), (1641024545000, 4432), (1641024550000, 4472), (1641024555000, 4512), (1641024560000, 4552), (1641024565000, 4592), (1641024570000, 4632), (1641024575000, 4672), (1641024580000, 4712), (1641024585000, 4752), (1641024590000, 4792), (1641024595000, 4832);
INSERT INTO root.db0.t1(timestamp, c0) VALUES (1641024600000, 4872), (1641024605000, 4912), (1641024610000, 4952), (1641024615000, 4992), (1641024620000, 5032), (1641024625000, 5072), (1641024630000, 5112), (1641024635000, 5152), (1641024640000, 5192), (1641024645000, 5232), (1641024650000, 5272), (1641024655000, 5312), (1641024660000, 5352), (1641024665000, 5392), (1641024670000, 5432), (1641024675000, 5472), (1641024680000, 5512), (1641024685000, 5552), (1641024690000, 5592), (1641024695000, 5632), (1641024700000, 5672), (1641024705000, 5712), (1641024710000, 5752), (1641024715000, 5792), (1641024720000, 5832), (1641024725000, 5872), (1641024730000, 5912), (1641024735000, 5952), (1641024740000, 5992), (1641024745000, 6032);
INSERT INTO root.db0.t1(timestamp, c0) VALUES (1641024750000, 6072), (1641024755000, 6112), (1641024760000, 6152), (1641024765000, 6192), (1641024770000, 6232), (1641024775000, 6272), (1641024780000, 6312), (1641024785000, 6352), (1641024790000, 6392), (1641024795000, 6432), (1641024800000, 6472), (1641024805000, 6512), (1641024810000, 6552), (1641024815000, 6592), (1641024820000, 6632), (1641024825000, 6672), (1641024830000, 6712), (1641024835000, 6752), (1641024840000, 6792), (1641024845000, 6832), (1641024850000, 6872), (1641024855000, 6912), (1641024860000, 6952), (1641024865000, 6992), (1641024870000, 7032), (1641024875000, 7072), (1641024880000, 7112), (1641024885000, 7152), (1641024890000, 7192), (1641024895000, 7232);
INSERT INTO root.db0.t1(timestamp, c0) VALUES (1641024900000, 7272), (1641024905000, 7312), (1641024910000, 7352), (1641024915000, 7392), (1641024920000, null), (1641024925000, 7472), (1641024930000, 7512), (1641024935000, 7552), (1641024940000, 7592), (1641024945000, 7632), (1641024950000, 7672), (1641024955000, 7712), (1641024960000, 7752), (1641024965000, 7792), (1641024970000, 7832), (1641024975000, 7872), (1641024980000, 7912), (1641024985000, 7952), (1641024990000, 7992), (1641024995000, 8032), (1641025000000, 8072), (1641025005000, 8112), (1641025010000, 8152), (1641025015000, 8192), (1641025020000, 8232), (1641025025000, 8272), (1641025030000, 8312), (1641025035000, 8352), (1641025040000, 8392), (1641025045000, 8432);
INSERT INTO root.db0.t1(timestamp, c0) VALUES (1641025050000, 8472), (1641025055000, 8512), (1641025060000, 8552), (1641025065000, 8592), (1641025070000, 8632), (1641025075000, 8672), (1641025080000, 8712), (1641025085000, 8752), (1641025090000, 8792), (1641025095000, 8832), (1641025100000, 8872), (1641025105000, 8912), (1641025110000, 8952), (1641025115000, 8992), (1641025120000, 9032), (1641025125000, 9072), (1641025130000, 9112), (1641025135000, 9152), (1641025140000, null), (1641025145000, 9232), (1641025150000, 9272), (1641025155000, 9312), (1641025160000, 9352), (1641025165000, 9392), (1641025170000, 9432), (1641025175000, 9472), (1641025180000, 9512), (1641025185000, 9552), (1641025190000, 9592), (1641025195000, 9632);
INSERT INTO root.db0.t1(timestamp, c0) VALUES (1641025200000, 9672), (1641025205000, 9712), (1641025210000, 9752), (1641025215000, 9792), (1641025220000, 9832), (1641025225000, 9872), (1641025230000, 9912), (1641025235000, 9952), (1641025240000, 9992), (1641025245000, 10032), (1641025250000, 10072), (1641025255000, 10112), (1641025260000, 10152), (1641025265000, 10192), (1641025270000, 10232), (1641025275000, 10272), (1641025280000, 10312), (1641025285000, 10352), (1641025290000, 10392), (1641025295000, 10432), (1641025300000, 10472), (1641025305000, 10512), (1641025310000, 10552), (1641025315000, 10592), (1641025320000, 10632), (1641025325000, 10672), (1641025330000, 10712), (1641025335000, 10752), (1641025340000, 10792), (1641025345000, 10832);
INSERT INTO root.db0.t1(timestamp, c0) VALUES (1641025350000, 10872), (1641025355000, 10912), (1641025360000, 10952), (1641025365000, 10992), (1641025370000, 11032), (1641025375000, 11072), (1641025380000, 11112), (1641025385000, 11152), (1641025390000, 11192), (1641025395000, 11232), (1641025400000, 11272), (1641025405000, 11312), (1641025410000, 11352), (1641025415000, 11392), (1641025420000, 11432), (1641025425000, 11472), (1641025430000, 11512), (1641025435000, 11552), (1641025440000, 11592), (1641025445000, 11632), (1641025450000, 11672), (1641025455000, 11712), (1641025460000, 11752), (1641025465000, 11792), (1641025470000, 11832), (1641025475000, 11872), (1641025480000, 11912), (1641025485000, 11952), (1641025490000, 11992), (1641025495000, 12032);
INSERT INTO root.db0.t1(timestamp, c0) VALUES (1641025500000, 12072), (1641025505000, 12112), (1641025510000, 12152), (1641025515000, 12192), (1641025520000, 12232), (1641025525000, 12272), (1641025530000, 12312), (1641025535000, 12352), (1641025540000, 12392), (1641025545000, 12432), (1641025550000, 12472), (1641025555000, 12512), (1641025560000, 12552), (1641025565000, 12592), (1641025570000, 12632), (1641025575000, 12672), (1641025580000, 12712), (1641025585000, 12752), (1641025590000, 12792), (1641025595000, 12832), (1641025600000, 12872), (1641025605000, 12912), (1641025610000, 12952), (1641025615000, 12992), (1641025620000, 13032), (1641025625000, 13072), (1641025630000, 13112), (1641025635000, 13152), (1641025640000, 13192), (1641025645000, 13232);
INSERT INTO root.db0.t1(timestamp, c0) VALUES (1641025650000, null), (1641025655000, 13312), (1641025660000, 13352), (1641025665000, 13392), (1641025670000, null), (1641025675000, 13472), (1641025680000, 13512), (1641025685000, 13552), (1641025690000, 13592), (1641025695000, 13632), (1641025700000, 13672), (1641025705000, 13712), (1641025710000, 13752), (1641025715000, 13792), (1641025720000, 13832), (1641025725000, 13872), (1641025730000, 13912), (1641025735000, 13952);

# query 1
SELECT STDDEV_POP(c0) FROM root.db0.t1 GROUP BY ([1641023357064, 1641025073925),2545s,854s)

# query 2
SELECT STDDEV_POP(c0) FROM root.db0.t1 GROUP BY ([1641023357064, 1641025073925),2545s,1708s)

# query 3
SELECT STDDEV_POP(c0) FROM root.db0.t1 GROUP BY([1641025065064, 1641025073925),2545s)
```

### What did you expect to see?

The expected result set for Query 1 is: 2489.867388014679 1987.3425863588686 **0.0**

The expected result set for Query 2 is: 2489.867388014679 0.0

The expected result set for Query 3 is: 0.0

### What did you see instead?

The actual result set returned by Query 1 is: 2489.867388014679 1987.3425863588686 **NaN**

The actual result set returned by Query 2 is: 2489.867388014679 **3.1714797501871533E-4**

The actual result set returned by Query 3 is: 0.0

### Anything else?

Dear IoTDB team, In the three queries above, we perform **standard deviation window aggregation** on the `root.db0.t1.c1` time series.

- Query 1 has an aggregation start time of `1641023357064` and an end time of `1641025073925`, with each aggregation window size being `2545s` and a window sliding distance of `854s`.
- Query 2 uses the same aggregation time range as Query 1 but doubles the sliding distance of Query 1.
- Query 3 changes the start time to `1641025065064` (`1641025065064 = 1641023357064 + 854000 + 854000`).

By analyzing the actual result sets returned by the three queries, we found discrepancies in the aggregation values of the last window. Additionally, Query 1 triggered a **numeric overflow** error.

### Are you willing to submit a PR?

- [ ] I'm willing to submit a PR!

Comienza reproduciendo las tres consultas de ventana STDDEV_POP del issue en IoTDB 1.3.3 y compara los resultados de la ventana final con las expectativas indicadas. Sigue el flujo de la desviación estándar de la ventana de agregación y verifica que las ventanas con un solo valor devuelvan 0.0 sin desbordamiento numérico ni NaN; se considera completado cuando las tres consultas producen los resultados esperados.

Escrito por el modelo de indexación a partir del texto del issue.