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refactor(perf): Optimize hot paths for large dataset performance (#4128)

* refactor(perf): Optimize hot paths for large dataset performance (#Large)

- axis: Replace O(n²) indexOf with Map in setCulling (1,000 ticks: ~1M→~2K ops)
- axis: Sample tick nodes in getMaxTickSize to reduce forced reflows (N→4 reflows)
- data: Use direct index access in getValueOnIndex with filter fallback
- bar: Use direct index access in isStackingRadiusData (O(n) filter → O(1))
- bar: Memoize _getConnectLineType per series id in redrawBar
- resize: Skip dirty.data flag during resize flush (avoids unnecessary data join)
- load: Preserve generation-based caches during load/unload; add excludePrefixes
  to Cache.reset() so $filteredTargets/$maxDataCountTarget/$valuesXIndexMap/$maxTickSize_*
  are invalidated naturally by dataGeneration/redrawGeneration increments

* chore(deps): Upgrade Yarn to 4.13.0 to support npmMinimalAgeGate

Yarn 4.3.1 did not recognize the npmMinimalAgeGate setting.
Upgrading to 4.13.0 which officially supports this configuration.

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