Throwaway verification that IgnoreSet (pure matcher, src/ignore.rs) behaves correctly against the real [ignore].patterns used by the Ekuro vault (~/.config/vaultsync/config.toml), run against the ignoreset-matcher-pure-pattern-language worktree via a temporary integration test.
Run: cargo test --offline --test smoke_real_config -> 1 test, 25 cases, all PASS.
The route definition
post "/sandhi/analyze", to: "sandhi_analyses#analyze"
automatically includes an optional :format segment, so both
/sandhi/analyze # no explicit format
/sandhi/analyze.json # JSON extension
match the same sandhi_analyses#analyze action.
| (defun insert-json-entries (json-str) | |
| (let ((json-object-type 'hash-table)) | |
| (cl-loop for entry across (json-read-from-string json-str) do | |
| (maphash (lambda (key value) | |
| (insert (format (if (string= key "role") "## %s:\n\n" "%s\n\n") | |
| (string-trim value "[ \t\n\r.]+")))) | |
| entry)))) | |
| (defun ask-for-input () | |
| "Prompt the user for input using the minibuffer." |
| set nocompatible | |
| syntax on | |
| set number | |
| set relativenumber | |
| set tabstop=4 | |
| set shiftwidth=4 | |
| set expandtab | |
| set autoindent | |
| set hlsearch | |
| set incsearch |
| # -*- coding: utf-8 -*- | |
| """toy-word2vec.ipynb | |
| Automatically generated by Colab. | |
| Original file is located at | |
| https://colab.research.google.com/drive/1Lk3Td9MXzndT0ld1iaCF6FbggKCzBa2Z | |
| """ | |
| import jax |
found the source code of many AI papers hard to read, partially because the authors are not in the mindset of software engineers, therefore the code is not aligned to software engineering best practices. How to solve this problem? I want to understand the code so that I can master the concetps in the papers more thourougly through code reading
Reading and fully understanding research code can be challenging, especially when code bases don’t follow traditional software engineering (SE) best practices. Here are some suggestions for getting more out of (often messy) AI research code: