As of 2026-06-05 (commit 9e0f6c6cd54f), anthropics/defending-code-reference-harness contains 10,562 total lines: 6,785 code, 2,094 comments, 1,683 blank, across 84 files in 10 languages (top: Python 91.4%). Counted with tokei via OctoCounts.
OctoCounts produced this report by resolving anthropics/defending-code-reference-harness to commit 9e0f6c6cd54f, 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 64.2% of all lines, comments represent 19.8%, and the repository averages 81 code lines per file. Python accounts for 91.4% of counted code.
| Language | Files | Lines | Code | Comments | Blanks |
|---|---|---|---|---|---|
| Python | 46 | 7645 | 6204 | 359 | 1082 |
| C | 4 | 234 | 156 | 48 | 30 |
| Shell | 1 | 197 | 147 | 36 | 14 |
| YAML | 4 | 111 | 97 | 11 | 3 |
| Dockerfile | 4 | 120 | 81 | 16 | 23 |
| JSON | 3 | 57 | 57 | 0 | 0 |
| BASH | 1 | 39 | 23 | 10 | 6 |
| TOML | 1 | 24 | 20 | 0 | 4 |
| Markdown | 19 | 2133 | 0 | 1612 | 521 |
| Plain Text | 1 | 2 | 0 | 2 | 0 |
Top language (Python 91.4%). Generated at 2026-06-05T00:52:50.691232209+00:00.
anthropics/defending-code-reference-harness has 10,562 total lines, including 6,785 code lines, 2,094 comment lines, and 1,683 blank lines.
OctoCounts resolved the public GitHub repository to commit 9e0f6c6cd54f, 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 9e0f6c6cd54f on 2026-06-05T00:52:50.691232209+00:00.
Other public repositories with an OctoCounts report, ranked by top language and code size similarity: