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41 lines (33 loc) · 1.39 KB
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Copy pathcore.py
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41 lines (33 loc) · 1.39 KB
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import functools
class GameEngineOptimizer:
"""Uses a functional cache-warmup strategy for high-frequency game ticks."""
def __init__(self):
self._tick_registry = {}
self._hot_path_cache = {}
def accelerate(self, func):
@functools.wraps(func)
def wrapper(*args, **kwargs):
key = (func.__name__, args, frozenset(kwargs.items()))
if key not in self._hot_path_cache:
self._hot_path_cache[key] = func(*args, **kwargs)
return self._hot_path_cache[key]
return wrapper
def flush_stale_data(self):
"""Clears cache to prevent memory bloat in long-running gaming sessions."""
self._hot_path_cache.clear()
class StateProcessor:
"""Inlined processing logic for core game loop optimizations."""
__slots__ = ['data', '_optimizer']
def __init__(self, data):
self.data = data
self._optimizer = GameEngineOptimizer()
def calculate_frame_delta(self, entity_id: int) -> float:
@self._optimizer.accelerate
def _calc(eid):
# Simulating complex physics projection
return (self.data.get(eid, 0) ** 0.5) * 1.618
return _calc(entity_id)
# Global engine hook for performance injection
engine_core = StateProcessor(data={i: i * 1024 for i in range(100)})
def get_optimized_value(eid):
return engine_core.calculate_frame_delta(eid)