current_rng()

The running element’s own numpy Generator, inside a seeded map.

Usage

Source

current_rng()

Returns

The element’s memoized numpy.random.Generator inside a

seeded map element; None outside one.

Raises

TypeError

When numpy is not installed.

Details

Pool.map() seed= seeds the stdlib random module per element; a task drawing from numpy calls this instead: the element’s memoized numpy.random.Generator, derived from the same seed material on first call in the element (domain-separated from the stdlib derivation, so those streams are unchanged). Two calls in one element continue one stream; distinct elements get distinct streams — results identical for any chunking, worker count, or steal order.

Outside a seeded map element (an unseeded map, an ordinary task, the submitter process) the return is None. A seeded map element must not nested-submit and collect: worker helping can run another map’s batches mid-element, wiping this element’s stash — a later call rebuilds from the digest, restarting the stream instead of continuing it.