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.
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@@ -66,6 +66,8 @@ func run() -> void:
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world = fixture()
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world.state.amount.RD = 1
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world.state.binds.RD = {"EON5": 40000}
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# Test host preservation with a fixed rate, independent of game balance.
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world.catalog.entities.EON5.life_rule.progress = "0.00025"
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world.evolution.initialize_life_batches()
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world.evolution.evolve_batches(world.state, E.add(500000, E.divide(500000, 40)))
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check(E.eq(world.state.binds.RD["C0.0"], 10), "Intelligence emerges at the same host star")
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