Struct AdaptiveTreeModel

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pub struct AdaptiveTreeModel { /* private fields */ }
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Adaptive model that uses a Binary Indexed Tree for storing cumulative frequencies.

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impl AdaptiveTreeModel

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pub fn new(p: Parameters) -> Box<dyn Model>

Initializes the model with the given parameters.

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impl Model for AdaptiveTreeModel

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fn parameters<'a>(&'a self) -> &'a Parameters

Returns the arithmetic compression parameters.
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fn total_frequency(&self) -> u64

Returns the maximum cumulative frequency.
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fn get_frequency(&mut self, symbol: usize) -> Result<(u64, u64)>

Returns the cumulative frequency range for the given input symbol.
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fn get_symbol(&mut self, value: u64) -> Result<(usize, u64, u64)>

Returns the symbol that corresponds to the given cumulative frequency.
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fn get_freq_table(&self) -> Vec<(u64, u64)>

Returns the cumulative frequency table for debugging purposes.

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impl<T> Any for T
where T: 'static + ?Sized,

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impl<T> BorrowMut<T> for T
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impl<T> From<T> for T

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type Error = Infallible

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type Error = <U as TryFrom<T>>::Error

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