Module worker_pool 

Worker Pool Management for FFT Parallelization

This module provides a configurable thread pool for parallel FFT operations, similar to SciPy’s worker management functionality.

Structs

WorkerConfig

Configuration for FFT worker pool

WorkerContext

Context manager for temporarily changing worker count

WorkerPool

FFT Worker Pool Manager Simplified to use core parallel abstractions instead of direct ThreadPool management

WorkerPoolInfo

Information about the worker pool state

Functions

get_global_pool

Get the global worker pool instance

get_workers

Get the current number of workers

init_global_pool

Initialize the global worker pool with custom configuration

set_workers

Set the number of workers globally

with_workers

Execute a function with a specific number of workers temporarily