Speed up Python GraphBinary deserialization

[kirill-stepanishin]

The GraphBinary reader built a DataType enum member from the type byte for every object it decoded. That per-object enum construction heavily degrades deserialization performance on large result sets.

The reader now builds a {type code: deserializer} lookup table once up front and dispatches on the raw integer instead, avoiding per-object enum construction. Behavior is unchanged: an unknown type code still raises ValueError("... is not a valid DataType").

Performance

Benchmarked on two cross-region EC2 instances (server in US-EAST-2, client in US-WEST-2) to capture realistic network latency, against the Modern graph over GraphBinary V4 on Python 3.11. Each query was run with and without this change, alternating back to back across 3 sweeps, reporting the median.

Query	Before	After	Change
g.V().repeat(both()).times(12) (~200k results)	7.97 s	5.85 s	26% faster
g.V() (6 results)	0.107 s	0.109 s	no change

The improvement is significant on large result sets, where per-object deserialization cost dominates, and scales with the number of objects returned.

[codecov-commenter]

Codecov Report

✅ All modified and coverable lines are covered by tests.
✅ Project coverage is 76.16%. Comparing base (a28cd1f) to head (2cfc742).
⚠️ Report is 181 commits behind head on master.

Additional details and impacted files

@@             Coverage Diff              @@
##             master    #3493      +/-   ##
============================================
- Coverage     76.35%   76.16%   -0.20%     
- Complexity    13424    13935     +511     
============================================
  Files          1012     1030      +18     
  Lines         60341    63138    +2797     
  Branches       7075     7427     +352     
============================================
+ Hits          46076    48087    +2011     
- Misses        11548    12045     +497     
- Partials       2717     3006     +289     

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[kenhuuu]

VOTE +1

[Cole-Greer]

VOTE +1