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Initial release.
mizu_channel(): lock-free SPSC channels between R
processes — or between R and a Python peer — over POSIX shared memory or
Win32 file mappings, with sentinel outcomes for a full ring, timeout,
close, or peer death.mizu_pool(): work-stealing task pools over spawned
workers — mizu_submit() / mizu_collect(),
batch submission, mizu_collect_any() /
mizu_collect_all(), worker retirement and respawn, nested
submission, and classed remote errors.mizu_map(): a parallel map — streaming and prepared
maps, .template output areas with a zero-copy
.collect = "view", and reproducible per-element random
streams (.seed).mizu_as_arrow().mizu_py_launcher() spawns peers and
workers, mizu_call() task specs drive them, and data frames
cross with full type fidelity.mizu_recv_async(),
mizu_recv_handler(), mizu_collect_async(), and
as.promise() methods for channels, tasks, and maps over
later and promises, ready for Shiny.skills/mizu, picked up automatically
by btw and similar tools.mizu_prune() reclaims shared memory
orphaned by dead processes; mizu_pool_dump() introspects a
running or hung pool.These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.