feat(data-layer): Resampler (candle resampling) in all 10 languages (#310)

* feat(data-layer): Resampler (candle resampling) in all 10 languages

Second data-layer feature (F3): resample candles into a higher timeframe.

- Native (Node.js/WASM): new Resampler(timeframe) -> update(o,h,l,c,v,ts):
  Candle|null + flush(): Candle|null. Python the same -> tuple|None.
- C ABI: wickra_resampler_new/update/flush/free (update has the multi-output
  shape so the generators auto-emit it; flush is bespoke). Go Update -> (Candle,
  bool) + Flush; C# Candle? Update/Flush; Java Candle update/flush; R update()
  generic + a flush() S3 method (extends base::flush); C/C++ direct.
- Cross-language golden (testdata/golden/data_resampled.csv): the shared input
  candles resampled into 5-unit buckets, the final partial bucket via flush,
  pinned bit-for-bit across every binding.

Verified locally in all 10 (3 candles for the 5-unit smoke; 16 for the golden).
The WickraCandle output record is shared with the tick aggregator (deduped).

* test(node): exclude data-layer types from the indicator completeness contract

The Resampler exposes update(), so the completeness test flagged it as an
indicator and required batch/reset/isReady/warmupPeriod, which a data-layer type
does not have. Exclude TickAggregator and Resampler like the bar builders.

testdata/golden/data_resampled.csv

@@ -0,0 +1,17 @@
+open,high,low,close,volume,timestamp
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+97.378063505514,106.32510161131832,95.93821562552817,103.99314457402363,5150.941358775185,15
+108.04491654708718,121.38046215528227,105.7105413401633,119.93667863849153,5456.9835954080345,20
+120.88220148856881,124.2878498649492,119.39438848583472,121.12969230082183,5371.101223522536,25
+119.8808727652764,121.29920058454442,108.51535390119264,110.00125312406458,5128.47088205189,30
+108.48360243707184,113.29382811110736,106.26786689008574,111.88016416080967,5431.582557578566,35
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+122.33587608239566,136.79793765689536,120.87761530843784,135.43314928819893,5132.5539248008245,60
+138.08766685694894,146.57143212166807,136.58837142074304,144.11152724502116,5355.547392578692,65
+144.27024859045207,145.7471249168318,132.66155074344638,134.9266357939324,5463.733502447633,70
+131.6480122345848,134.02210748888697,127.39947545719488,129.59514479102842,5163.946538828373,75