guardian/commercial-request-parser
File Size The distribution of size of files (measured in lines of code). |
File Size Overall
- There are 11 files with 450 lines of code.
- 0 very long files (0 lines of code)
- 0 long files (0 lines of code)
- 0 medium size files (0 lines of code)
- 1 small files (120 lines of code)
- 10 very small files (330 lines of code)
Legend:
1001+
501-1000
201-500
101-200
1-100
explore: grouped by folders | grouped by size | sunburst | 3D view
File Size per Extension
1001+
501-1000
201-500
101-200
1-100
File Size per Logical Decomposition
primary
Longest Files (Top 11)
| File | # lines | # units |
|---|---|---|
| 120 | 2 | |
| 68 | - | |
| 58 | - | |
| 50 | - | |
| 41 | - | |
| 38 | - | |
| 25 | - | |
| 25 | - | |
| 16 | - | |
| 6 | 1 | |
| 3 | - |
Large Files That Change Often (Top 4)
To change a file, an AI coding agent (or a person) has to read it: these files are read the most for the changes in the past year (lines × changes).
| File | # lines | ≈ tokens to read | # changes (1y) | ≈ lines edited per change | lines read per line changed |
|---|---|---|---|---|---|
| 41 | under 1k | 3 | ~30 | ~2 | |
| 58 | ~300–1k | 1 | ~15 | ~5 | |
| 25 | under 1k | 1 | ~10 | ~3 | |
| 25 | under 1k | 1 | ~10 | ~3 |
Tokens are lines × 7 to 14 (analysis.fileReadsForChanges). Lines edited per change are the file's lines added and deleted divided by its commits over the whole history. Agents read about 2,000 lines at a time: when a 17,000-line file was split into modules, the tokens an agent read for the same change fell by 83% (The Economic Benefit of Refactoring, 2026).
Files With Most Units (Top 2)
| File | # lines | # units |
|---|---|---|
| 120 | 2 | |
| 6 | 1 |
Files With Long Lines (Top 3)
There are 3 files with lines longer than 120 characters. In total, there are 8 long lines.
| File | # lines | # units | # long lines |
|---|---|---|---|
| 58 | - | 3 | |
| 68 | - | 3 | |
| 120 | 2 | 2 |
Correlations
File Size vs. Commits (all time): 11 points
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|
120.0 | lines of code min: 3.0average: 40.91 25th percentile: 16.0 median: 38.0 75th percentile: 58.0 max: 120.0 |
|
| 0 | 17.0 | ||
|
commits (all time) min: 2.0 | average: 10.0 | 25th percentile: 5.0 | median: 12.0 | 75th percentile: 13.0 | max: 17.0
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File Size vs. Contributors (all time): 11 points
|
|
120.0 | lines of code min: 3.0average: 40.91 25th percentile: 16.0 median: 38.0 75th percentile: 58.0 max: 120.0 |
|
| 0 | 3.0 | ||
|
contributors (all time) min: 2.0 | average: 2.36 | 25th percentile: 2.0 | median: 2.0 | 75th percentile: 3.0 | max: 3.0
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File Size vs. Commits (30 days): 3 points
|
|
58.0 | lines of code min: 25.0average: 36.0 25th percentile: 25.0 median: 25.0 75th percentile: 58.0 max: 58.0 |
|
| 0 | 1.0 | ||
|
commits (30d) min: 1.0 | average: 1.0 | 25th percentile: 1.0 | median: 1.0 | 75th percentile: 1.0 | max: 1.0
|
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File Size vs. Contributors (30 days): 3 points
|
|
58.0 | lines of code min: 25.0average: 36.0 25th percentile: 25.0 median: 25.0 75th percentile: 58.0 max: 58.0 |
|
| 0 | 1.0 | ||
|
contributors (30d) min: 1.0 | average: 1.0 | 25th percentile: 1.0 | median: 1.0 | 75th percentile: 1.0 | max: 1.0
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File Size vs. Commits (90 days): 3 points
|
|
58.0 | lines of code min: 25.0average: 36.0 25th percentile: 25.0 median: 25.0 75th percentile: 58.0 max: 58.0 |
|
| 0 | 1.0 | ||
|
commits (90d) min: 1.0 | average: 1.0 | 25th percentile: 1.0 | median: 1.0 | 75th percentile: 1.0 | max: 1.0
|
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File Size vs. Contributors (90 days): 3 points
|
|
58.0 | lines of code min: 25.0average: 36.0 25th percentile: 25.0 median: 25.0 75th percentile: 58.0 max: 58.0 |
|
| 0 | 1.0 | ||
|
contributors (90d) min: 1.0 | average: 1.0 | 25th percentile: 1.0 | median: 1.0 | 75th percentile: 1.0 | max: 1.0
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About This Analysis
- File size measurements show the distribution of size of files.
- Files are classified in four categories based on their size (lines of code): 1-100 (very small files), 101-200 (small files), 201-500 (medium size files), 501-1000 (long files), 1001+(very long files).
- It is a good practice to keep files small. Long files may become "bloaters", code that have increased to such gargantuan proportions that they are hard to work with.
Learn more...
- To learn more about bloaters and how to deal with long code structures, Sokrates recommends the following resources:
- Refactoring bloaters, sourcemaking.com
- The Blob Software Development Anti-Pattern, sourcemaking.com