rrm workspace: TRM/HRM/SRM code, Maze dataset, dynamical-analysis pipelineHEADmain

Curated export for clone-and-run Maze training (2x A6000) + diagnostics.
trm/hrm pretrain.py carry trajectory-augmentation code (backward-compatible).
Heavy artifacts (checkpoints/wandb/npz) gitignored; see PROVENANCE.md.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>

1 files changed, 69 insertions, 0 deletions

diff --git a/research/flossing/external/julia-1.6.7/share/julia/stdlib/v1.6/Distributed/docs/src/index.md b/research/flossing/external/julia-1.6.7/share/julia/stdlib/v1.6/Distributed/docs/src/index.md
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index 0000000..1b1675e
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+# Distributed Computing
+
+```@docs
+Distributed.addprocs
+Distributed.nprocs
+Distributed.nworkers
+Distributed.procs()
+Distributed.procs(::Integer)
+Distributed.workers
+Distributed.rmprocs
+Distributed.interrupt
+Distributed.myid
+Distributed.pmap
+Distributed.RemoteException
+Distributed.Future
+Distributed.RemoteChannel
+Distributed.fetch(::Distributed.Future)
+Distributed.fetch(::RemoteChannel)
+Distributed.remotecall(::Any, ::Integer, ::Any...)
+Distributed.remotecall_wait(::Any, ::Integer, ::Any...)
+Distributed.remotecall_fetch(::Any, ::Integer, ::Any...)
+Distributed.remote_do(::Any, ::Integer, ::Any...)
+Distributed.put!(::RemoteChannel, ::Any...)
+Distributed.put!(::Distributed.Future, ::Any)
+Distributed.take!(::RemoteChannel, ::Any...)
+Distributed.isready(::RemoteChannel, ::Any...)
+Distributed.isready(::Distributed.Future)
+Distributed.AbstractWorkerPool
+Distributed.WorkerPool
+Distributed.CachingPool
+Distributed.default_worker_pool
+Distributed.clear!(::CachingPool)
+Distributed.remote
+Distributed.remotecall(::Any, ::AbstractWorkerPool, ::Any...)
+Distributed.remotecall_wait(::Any, ::AbstractWorkerPool, ::Any...)
+Distributed.remotecall_fetch(::Any, ::AbstractWorkerPool, ::Any...)
+Distributed.remote_do(::Any, ::AbstractWorkerPool, ::Any...)
+Distributed.@spawnat
+Distributed.@fetch
+Distributed.@fetchfrom
+Distributed.@distributed
+Distributed.@everywhere
+Distributed.clear!(::Any, ::Any; ::Any)
+Distributed.remoteref_id
+Distributed.channel_from_id
+Distributed.worker_id_from_socket
+Distributed.cluster_cookie()
+Distributed.cluster_cookie(::Any)
+```
+
+## Cluster Manager Interface
+
+This interface provides a mechanism to launch and manage Julia workers on different cluster environments.
+There are two types of managers present in Base: `LocalManager`, for launching additional workers on the
+same host, and `SSHManager`, for launching on remote hosts via `ssh`. TCP/IP sockets are used to connect
+and transport messages between processes. It is possible for Cluster Managers to provide a different transport.
+
+```@docs
+Distributed.ClusterManager
+Distributed.WorkerConfig
+Distributed.launch
+Distributed.manage
+Distributed.kill(::ClusterManager, ::Int, ::WorkerConfig)
+Distributed.connect(::ClusterManager, ::Int, ::WorkerConfig)
+Distributed.init_worker
+Distributed.start_worker
+Distributed.process_messages
+Distributed.default_addprocs_params
+```