import pyray as rl
_cache: dict[int, rl.Vector2] = {}
def measure_text_cached(font: rl.Font, text: str, font_size: int, spacing: int = 0) -> rl.Vector2:
"""Caches text measurements to avoid redundant calculations."""
key = hash((font.texture.id, text, font_size, spacing))
if key in _cache:
return _cache[key]
result = rl.measure_text_ex(font, text, font_size, spacing) # noqa: TID251
_cache[key] = result
return result