Rongsong Shen 6ca717fb86 feat(scheduler-allocation): implement parjob's combinatorial plan generation ... Add the real xce_alloc_plan_iter_t for parjob: for host-count k=1..maxTasks (ascending, most-preferred-first), generate one balanced partition of maxTasks into k buckets (floor/ceil split, remainder to the first rem buckets), which is descending by construction. Pure function of maxTasks alone -- never dereferences sched -- with a real pthread_testcancel() cancellation point and stable post-exhaustion NULL (Req 2.1-2.6, 4.1). my_alloc()/parjob_prepare_allocation() remain untouched stubs; wiring the iterator into real allocation is task 4.2. Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01XYdtrEWWZfKRRGED7raEYg		2026-09-04 20:04:44 +00:00
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brief.md	docs(scheduler-allocation): approve requirements, add design and tasks	2026-09-04 12:59:39 +00:00
design.md	docs(scheduler-allocation): fix xce_host_iter_t.next() return type	2026-09-04 13:26:18 +00:00
requirements.md	docs(scheduler-allocation): fix xce_host_iter_t.next() return type	2026-09-04 13:26:18 +00:00
research.md	docs(scheduler-allocation): approve requirements, add design and tasks	2026-09-04 12:59:39 +00:00
spec.json	docs(scheduler-allocation): approve requirements, add design and tasks	2026-09-04 12:59:39 +00:00
tasks.md	feat(scheduler-allocation): implement parjob's combinatorial plan generation	2026-09-04 20:04:44 +00:00