# frt321for/shared-device-micro-ops SLOC report

> As of 2026-09-16 (commit f9d69b62b842), frt321for/shared-device-micro-ops contains 14,379 total lines: 12,132 code, 216 comments, 2,031 blank, across 153 files in 13 languages (top: Java 37.9%). Custom configuration (tests excluded, docs excluded, generated excluded). Counted with tokei via OctoCounts.

frt321for/shared-device-micro-ops has 12,132 source lines of code out of 14,379 total lines across 153 files, counted from the f9d69b62b8423ba60b0ae2f443ac1d192828e1f9 ref at commit f9d69b62b842 by the OctoCounts tokei engine on 2026-09-16. 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 frt321for/shared-device-micro-ops to commit f9d69b62b842, 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 medium-sized codebase by counted code lines. Code represents 84.4% of all lines, comments represent 1.5%, and the repository averages 79 code lines per file. Java accounts for 37.9% of counted code.

| Language | Files | Lines | Code | Comments | Blanks |
| --- | ---: | ---: | ---: | ---: | ---: |
| Java | 98 | 5,604 | 4,597 | 30 | 977 |
| TSX | 19 | 4,216 | 3,913 | 5 | 298 |
| YAML | 5 | 2,722 | 2,140 | 0 | 582 |
| PowerShell | 4 | 404 | 363 | 10 | 31 |
| HTML | 2 | 347 | 337 | 0 | 10 |
| SQL | 5 | 302 | 272 | 0 | 30 |
| TypeScript | 5 | 222 | 183 | 1 | 38 |
| XML | 3 | 192 | 175 | 0 | 17 |
| JSON | 4 | 96 | 92 | 0 | 4 |
| SVG | 4 | 27 | 27 | 0 | 0 |
| JavaScript | 1 | 27 | 26 | 0 | 1 |
| CSS | 1 | 7 | 7 | 0 | 0 |

Top language (Java 37.9%). Generated at 2026-09-16T18:44:44.043529672+00:00. Canonical report: https://octocounts.com/github/frt321for/shared-device-micro-ops

## Reproduce this report

[Reproduce this exact report and configuration](https://octocounts.com/github/frt321for/shared-device-micro-ops/commit/f9d69b62b8423ba60b0ae2f443ac1d192828e1f9?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 frt321for/shared-device-micro-ops have?

frt321for/shared-device-micro-ops has 14,379 total lines, including 12,132 code lines, 216 comment lines, and 2,031 blank lines.

### How was the frt321for/shared-device-micro-ops line count measured?

OctoCounts resolved the public GitHub repository to commit f9d69b62b842, downloaded the source archive, counted it with tokei, and cached the report by commit, tokei version, and analysis options.

### What commit was counted for frt321for/shared-device-micro-ops?

This OctoCounts report was generated from f9d69b62b8423ba60b0ae2f443ac1d192828e1f9 at commit f9d69b62b842 on 2026-09-16T18:44:44.043529672+00:00.

## Similar repository reports

- [Code-4-Community/lucys-love-bus-backend](https://octocounts.com/github/Code-4-Community/lucys-love-bus-backend) — Java, 12,036 code lines
- [fengyu-eng/paimon-datalake](https://octocounts.com/github/fengyu-eng/paimon-datalake) — Java, 12,228 code lines
- [MatveiSlizkii/FinanceApp](https://octocounts.com/github/MatveiSlizkii/FinanceApp) — Java, 11,987 code lines
- [avioconsulting/mule-opentelemetry-module](https://octocounts.com/github/avioconsulting/mule-opentelemetry-module) — Java, 11,897 code lines
- [Vbalatki/finance-tracker](https://octocounts.com/github/Vbalatki/finance-tracker) — Java, 11,344 code lines
- [dervarex/minified](https://octocounts.com/github/dervarex/minified) — Java, 13,157 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)
- [MongoDB vs PostgreSQL](https://octocounts.com/compare/mongodb-vs-postgres)
- [Kubernetes vs Docker Compose](https://octocounts.com/compare/kubernetes-vs-docker-compose)
- [Kubernetes vs Terraform](https://octocounts.com/compare/kubernetes-vs-terraform)
- [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)
