<｜begin▁of▁sentence｜>### Instruction:
Given you have a class named `AdvancedGradientPalette` that caches results from its methods to improve performance, how can you ensure that the cache is cleared when the cached data is no longer needed, to free up memory or before recalculating cache-dependent results?
### Response:
from palette_api import AdvancedGradientPalette

# Assume we have an instance of AdvancedGradientPalette
gradient_palette = AdvancedGradientPalette()

# Use a function that fills the cache
result = gradient_palette.some_function_that_caches()

# Clear the cache when it's no longer needed
gradient_palette.clear_cache()

# The cache is now cleared, and subsequent calls will recompute results
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