ENA-QWQ/GPTforMC SLOC report
As of 2026-07-19 (commit 62dea3c308f6), ENA-QWQ/GPTforMC contains 1,358 total lines: 1,157 code, 68 comments, 133 blank, across 9 files in 4 languages (top: Java 86.0%). Counted with tokei via OctoCounts.
Repository size insights
This is a small codebase by counted code lines. Code represents 85.2% of all lines, comments represent 5.0%, and the repository averages 129 code lines per file. Java accounts for 86.0% of counted code.
| Language | Files | Lines | Code | Comments | Blanks |
|---|
| Java | 4 | 1092 | 995 | 0 | 97 |
| XML | 1 | 86 | 82 | 0 | 4 |
| YAML | 3 | 173 | 80 | 63 | 30 |
| Markdown | 1 | 7 | 0 | 5 | 2 |
Top language (Java 86.0%). Generated at 2026-07-19T16:50:27.377512744+00:00.
Report FAQ
How many lines of code does ENA-QWQ/GPTforMC have?
ENA-QWQ/GPTforMC has 1,358 total lines, including 1,157 code lines, 68 comment lines, and 133 blank lines.
How was the ENA-QWQ/GPTforMC line count measured?
OctoCounts resolved the public GitHub repository to commit 62dea3c308f6, downloaded the source archive, counted it with tokei, and cached the report by commit, tokei version, and analysis options.
What commit was counted for ENA-QWQ/GPTforMC?
This OctoCounts report was generated from main at commit 62dea3c308f6 on 2026-07-19T16:50:27.377512744+00:00.