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, 19 insertions, 0 deletions

diff --git a/research/flossing/external/julia-1.6.7/share/julia/stdlib/v1.6/Statistics/README.md b/research/flossing/external/julia-1.6.7/share/julia/stdlib/v1.6/Statistics/README.md
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+# Statistics.jl
+
+[![Travis CI Build Status][travis-img]][travis-url]
+
+Development repository for the Statistics standard library (stdlib) that ships with Julia. 
+
+#### Using the development version of Statistics.jl
+
+If you want to develop this package, do the following steps:
+- Clone the repo anywhere.
+- In line 2 of the `Project.toml` file (the line that begins with `uuid = ...`), modify the UUID, e.g. change the `107` to `207`.
+- Change the current directory to the Statistics repo you just cloned and start julia with `julia --project`.
+- `import Statistics` will now load the files in the cloned repo instead of the Statistics stdlib.
+- To test your changes, simply do `include("test/runtests.jl")`.
+
+If you need to build Julia from source with a git checkout of Statistics, then instead use `make DEPS_GIT=Statistics` when building Julia. The `Statistics` repo is in `stdlib/Statistics`, and created initially with a detached `HEAD`. If you're doing this from a pre-existing Julia repository, you may need to `make clean` beforehand.
+
+[travis-img]: https://travis-ci.com/JuliaLang/Statistics.jl.svg?branch=master
+[travis-url]: https://travis-ci.com/JuliaLang/Statistics.jl