Add comprehensive tests and optimizations for simulation and UI performance

- Introduced a new benchmark save script to create a stress test scenario with extreme values for simulation performance.
- Added a full UI benchmark script to measure frame rates and performance metrics during UI interactions.
- Implemented tests for coarse generations to ensure population transitions are handled correctly.
- Created tests for extra parameters to validate the loading and application of configuration settings.
- Developed simulation optimization tests to verify the efficiency of population drift and rounding mechanisms.
- Added split optimization tests to ensure accurate allocation and rounding behavior in population management.
- Included startup parameter tests to confirm the correct initialization of global parameters before scene readiness.
- Enhanced the audit rounding ledger to compare selective and full rounding results for consistency.

tests/test_dynamic_math.gd

@@ -31,6 +31,10 @@ func run():
     verify(not E.eq(E.of("1e1000"), INF), "huge number is not infinity")
     verify(E.eq(E.floor_sum(huge, 2, 1, 2), E.divide(E.multiply(huge, E.subtract(huge, 1)), 2)), "floor sum supports huge window counts")
     var rows = JSON.parse_string(FileAccess.get_file_as_string("res://tests/fixtures/big_integer_oracle.json"))
+    for row in rows.slice(0, 20):
+        var scaled = B.divmod(B.parse(row[0] + "000000000000000000"), B.parse(row[1] + "000000000000000000"))
+        verify(B.decimal(scaled[0]) == row[4], "cancel shared blocks preserves quotient")
+        verify(B.compare(scaled[1], B.multiply(B.parse(row[5]), B.parse("1000000000000000000"))) == 0, "cancel shared blocks restores original remainder")
     for row in rows:
         var a: Array = B.parse(row[0])
         var b: Array = B.parse(row[1])