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Tools for computing final results from sequences using accumulators.
Distinguishing note: None of the candidates cover general-purpose functional sequence aggregation; they focus on AI/ML sequence-to-sequence models.
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This project is a library of algorithms for transforming, filtering, and combining asynchronous data streams in Swift. It provides a toolkit for managing asynchronous sequences, offering a concurrent sequence processor to merge, zip, and concatenate multiple streams into single outputs. The library distinguishes itself through specialized timing and flow control mechanisms. It implements asynchronous back-pressure to synchronize producer and consumer speeds and provides a toolkit for event timing, including debouncing, throttling, and the generation of periodic timers. The capability surface
Computes running totals or reductions over an asynchronous stream to emit partial results.