# Siinii/Cornell-AR-Cup-Pong SLOC report

> As of 2026-08-28 (commit ac0219fcda82), Siinii/Cornell-AR-Cup-Pong contains 570 total lines: 400 code, 60 comments, 110 blank, across 4 files in 2 languages (top: Swift 100.0%). Custom configuration (tests excluded, docs excluded, generated excluded). Counted with tokei via OctoCounts.

Siinii/Cornell-AR-Cup-Pong has 400 source lines of code out of 570 total lines across 4 files, counted from the main ref at commit ac0219fcda82 by the OctoCounts tokei engine on 2026-08-28. The report is cached by commit, tokei version, and analysis options, so recounting the same revision returns exactly these numbers.

OctoCounts produced this report by resolving Siinii/Cornell-AR-Cup-Pong to commit ac0219fcda82, 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.

## Repository size insights

This is a small codebase by counted code lines. Code represents 70.2% of all lines, comments represent 10.5%, and the repository averages 100 code lines per file. Swift accounts for 100.0% of counted code.

| Language | Files | Lines | Code | Comments | Blanks |
| --- | ---: | ---: | ---: | ---: | ---: |
| Swift | 3 | 506 | 400 | 2 | 104 |
| Markdown | 1 | 64 | 0 | 58 | 6 |

Top language (Swift 100.0%). Generated at 2026-08-28T03:42:54.650286519+00:00. Canonical report: https://octocounts.com/github/Siinii/Cornell-AR-Cup-Pong

## Reproduce this report

[Reproduce this exact report and configuration](https://octocounts.com/github/Siinii/Cornell-AR-Cup-Pong/commit/ac0219fcda82ae623747fa7bcf98f65304a47da5?analysis=%7B%22ignoredDirs%22%3A%5B%5D%2C%22ignoredLanguages%22%3A%5B%5D%2C%22profile%22%3A%22default%22%2C%22includeDocs%22%3Afalse%2C%22includeTests%22%3Afalse%2C%22includeGenerated%22%3Afalse%7D).

## Report FAQ

### How many lines of code does Siinii/Cornell-AR-Cup-Pong have?

Siinii/Cornell-AR-Cup-Pong has 570 total lines, including 400 code lines, 60 comment lines, and 110 blank lines.

### How was the Siinii/Cornell-AR-Cup-Pong line count measured?

OctoCounts resolved the public GitHub repository to commit ac0219fcda82, downloaded the source archive, counted it with tokei, and cached the report by commit, tokei version, and analysis options.

### What commit was counted for Siinii/Cornell-AR-Cup-Pong?

This OctoCounts report was generated from main at commit ac0219fcda82 on 2026-08-28T03:42:54.650286519+00:00.

## Similar repository reports

- [elijah-semyonov/DuoLikeAnimation](https://octocounts.com/github/elijah-semyonov/DuoLikeAnimation) — Swift, 498 code lines
- [artemnovichkov/CircleStatusBar](https://octocounts.com/github/artemnovichkov/CircleStatusBar) — Swift, 506 code lines
- [huanglizhuo/MergeBar](https://octocounts.com/github/huanglizhuo/MergeBar) — Swift, 895 code lines
- [kagemiku/ios-clean-architecture-sample](https://octocounts.com/github/kagemiku/ios-clean-architecture-sample) — Swift, 1,173 code lines
- [zolplay-labs/swiftui-sky](https://octocounts.com/github/zolplay-labs/swiftui-sky) — Swift, 1,313 code lines
- [huanglizhuo/fusebar](https://octocounts.com/github/huanglizhuo/fusebar) — Swift, 1,489 code lines

## Related OctoCounts pages

- [Recently analyzed repositories](https://octocounts.com/recent)
- [Popular SLOC reports](https://octocounts.com/popular)
- [Trending GitHub repositories](https://octocounts.com/trending)
- [Hall of Monoliths](https://octocounts.com/hall-of-monoliths)
- [GitHub SLOC counter guide](https://octocounts.com/docs/github-sloc-counter)
- [Counting methodology](https://octocounts.com/docs/methodology)
- [SLOC and code metrics glossary](https://octocounts.com/docs/glossary)
- [Original research: how filtering changes SLOC counts](https://octocounts.com/research)
- [OctoCounts API docs](https://octocounts.com/docs/api)