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ParallelRng

scirs2_core::random::parallel

Struct ParallelRng 

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pub struct ParallelRng;
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Parallel random number generation utilities

Provides high-level functions for generating random numbers in parallel with automatic fallback to sequential generation when parallel features are not available.

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impl ParallelRng

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pub fn parallel_sample<D, T>( distribution: D, count: usize, pool: &ThreadLocalRngPool, ) -> Vec<T>
where D: Distribution<T> + Copy + Send + Sync, T: Send,

Generate parallel random samples using Rayon (when available)

When the “parallel” feature is enabled, this uses Rayon for parallel generation. Otherwise, it falls back to sequential generation.

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pub fn parallel_sample_array<D, T, Sh>( distribution: D, shape: Sh, pool: &ThreadLocalRngPool, ) -> Array<T, IxDyn>
where D: Distribution<T> + Copy + Send + Sync, T: Send + Clone, Sh: Into<IxDyn>,

Generate parallel random arrays using Rayon (when available)

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pub fn parallel_sample_chunked<D, T>( distribution: D, count: usize, chunk_size: usize, pool: &ThreadLocalRngPool, ) -> Vec<T>
where D: Distribution<T> + Copy + Send + Sync, T: Send,

Generate parallel random samples with chunked processing

Divides the work into chunks to balance load and reduce overhead. This is particularly useful for very large sample sizes.

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pub fn parallel_bootstrap<T>( data: &[T], n_bootstrap: usize, pool: &ThreadLocalRngPool, ) -> Vec<Vec<T>>
where T: Clone + Send + Sync,

Generate parallel bootstrap samples

Useful for statistical bootstrap resampling in parallel.

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