Optimize requires_js_object to avoid expensive trim_dict serialization

[dcherman]

The requires_js_object property on data points was calling self.to_dict() + self.trim_dict() — a full serialization round-trip — just to determine whether a point could be represented as a JS array (e.g. [1, 2]) or needed a JS object (e.g. {x: 1, y: 2, color: "red"}).

For large data series this was extremely slow. With ~7,500 points, display() took ~17 seconds, with the vast majority spent inside trim_dict performing type checks via the validator_collection library. Each validator/checker call in that library is wrapped by a decorator (disable_on_env / disable_checker_on_env) that calls os.getenv() on every invocation to check whether it should be disabled — resulting in ~6 million os.getenv() calls per render.

The upstream validator_collection library
(https://github.com/insightindustry/validator-collection) has not been updated in several years, so rather than wait for a fix there, this change avoids triggering the expensive code path entirely.

The fix replaces the to_dict() + trim_dict() approach with a direct inspection of _to_untrimmed_dict(), checking whether any non-array properties hold non-None, non-empty values. This preserves the same semantics while bypassing all validator overhead.

Result: display() drops from ~17.3s to ~0.96s (18x speedup) for a chart with 7,500 data points.

[codecov]

Codecov Report

✅ All modified and coverable lines are covered by tests.
✅ Project coverage is 87.88%. Comparing base (e058b4b) to head (2a22324).

Additional details and impacted files

@@            Coverage Diff             @@
##           master     #222      +/-   ##
==========================================
+ Coverage   87.86%   87.88%   +0.01%     
==========================================
  Files         210      210              
  Lines       31316    31322       +6     
  Branches     2413     2416       +3     
==========================================
+ Hits        27516    27526      +10     
+ Misses       2826     2824       -2     
+ Partials      974      972       -2     

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