As of 2026-08-20 (commit fc164d15b257), Junvate/LLM-Algorithm-Intern-Guide contains 102 total lines: 0 code, 80 comments, 22 blank, across 1 files in 1 languages (top: Markdown 0.0%). Counted with tokei via OctoCounts.
OctoCounts produced this report by resolving Junvate/LLM-Algorithm-Intern-Guide to commit fc164d15b257, downloading the repository source archive, and counting every source file with tokei, the open-source line counter written in Rust. The table below breaks the count down by programming language into files, total lines, code lines, comment lines, and blank lines, so the figures can be compared across languages and projects. Results are cached by commit, tokei version, and analysis options, so counting the same revision again reproduces exactly these numbers.
This is a small codebase by counted code lines. Code represents 0.0% of all lines, comments represent 78.4%, and the repository averages 0 code lines per file. Markdown accounts for 0.0% of counted code.
| Language | Files | Lines | Code | Comments | Blanks |
|---|---|---|---|---|---|
| Markdown | 1 | 102 | 0 | 80 | 22 |
Top language (Markdown 0.0%). Generated at 2026-08-20T06:36:03.064916003+00:00.
Junvate/LLM-Algorithm-Intern-Guide has 102 total lines, including 0 code lines, 80 comment lines, and 22 blank lines.
OctoCounts resolved the public GitHub repository to commit fc164d15b257, downloaded the source archive, counted it with tokei, and cached the report by commit, tokei version, and analysis options.
This OctoCounts report was generated from main at commit fc164d15b257 on 2026-08-20T06:36:03.064916003+00:00.