openai / circuit_sparsity
Source Code Overview

Analysis scope, overview of main, test, generated, deployment, build, and other code.

Source Code Analysis Scope
Files includes and excluded from analyses
in
gitattributes
  • 7 extensions are included in analyses: py, txt, in, gitignore, md, gitattributes, toml
  • 2 criteria are used to exclude files from analysis:
    • exclude files with path like ".*/git[-]history[.]txt" (Git history) (1 file).
    • exclude files with path like ".*/git[-][a-zA-Z0-9_]+[.]txt" (Git data exports for sokrates analyses) (0 files).
Overview of Analyzed Files
Basic stats on analyzed files
Intro
For analysis purposes we separate files in scope into several categories: main, test, generated, deployment and build, and other.

  • The main category contains all manually created source code files that are being used in the production.
  • Files in the main category are used as input for other analyses: logical decomposition, concerns, duplication, file size, unit size, and conditional complexity.
  • Test source code files are used only for testing of the product. These files are normally not deployed to production.
  • Build and deployment source code files are used to configure or support build and deployment process.
  • Generated source code files are automatically generated files that have not been manually changed after generation.
  • While a source code folder may contain a number of files, we are primarily interested in the source code files that are being written and maintained by developers.
  • Files containing binaries, documentation, or third-party libraries, for instance, are excluded from analysis. The exception are third-party libraries that have been changed by developers.

main3300 LOC (92%) 14 files
test62 LOC (1%) 2 files
generated0 LOC (0%) 0 files
build and deployment69 LOC (1%) 3 files
other122 LOC (3%) 2 files
Main Code
All manually created or maintained source code that defines logic of the product that is run in a production environment.
in
Explore:   circles  |  sunburst
  • The following criteria are used to filter files:
    • files with paths like ".*".
  • 14 files match defined criteria (3,300 LOC, 100.0% vs. main code):
    • 13 *.py files (3,298 LOC)
    • 1 *.in files (2 LOC)
  • " *.py" is biggest, containing 99.94% of LOC.
  • " *.in" is smallest, containing 0.06% of LOC.


*.py3298 LOC (99%) 13 files
*.in2 LOC (<1%) 1 file
Test Code
Used only for testing of the product. Normally not deployed in a production environment.
Explore:   circles  |  sunburst
  • The following criteria are used to filter files:
    • files with paths like ".*/[Tt]ests/.*".
    • files with paths like ".*/test_.*".
  • 2 files match defined criteria (62 LOC, 1.9% vs. main code). All matches are in *.py files.


*.py62 LOC (100%) 2 files
Build and Deployment Code
Source code used to configure or support build and deployment process.
gitattributes
Explore:   circles  |  sunburst
  • The following criteria are used to filter files:
    • files with paths like ".*[.]git[a-z]+".
    • files with paths like ".*/[.]gitattributes".
    • files with paths like ".*/[.]gitignore".
    • files with paths like ".*/pyproject[.]toml".
  • 3 files match defined criteria (69 LOC, 2.1% vs. main code):
    • 1 *.toml files (40 LOC)
    • 1 *.gitignore files (28 LOC)
    • 1 *.gitattributes files (1 LOC)
  • " *.toml" is biggest, containing 57.97% of LOC.
  • " *.gitattributes" is smallest, containing 1.45% of LOC.


*.toml40 LOC (57%) 1 file
*.gitignore28 LOC (40%) 1 file
*.gitattributes1 LOC (1%) 1 file
Other Code
Explore:   circles  |  sunburst
  • The following criteria are used to filter files:
    • files with paths like ".*/[Ee]xamples/.*".
    • files with paths like ".*[.]txt".
    • files with paths like ".*[.]md".
    • files with paths like ".*/README[.][a-z0-9]+".
  • 2 files match defined criteria (122 LOC, 3.7% vs. main code):
    • 1 *.md files (81 LOC)
    • 1 *.py files (41 LOC)
  • " *.md" is biggest, containing 66.39% of LOC.
  • " *.py" is smallest, containing 33.61% of LOC.


*.md81 LOC (66%) 1 file
*.py41 LOC (33%) 1 file
Analyzers
Info about analyzers used for source code examinations.
  • *.py files are analyzed with PythonAnalyzer:
    • All basic standard analyses supported (source code overview, duplication, file size, concerns, findings, metrics, controls)
    • Advanced code cleaning (empty lines and comments removed for LOC calculations, additional cleaning for duplication calculations)
    • Unit size analysis
    • Conditional complexity analysis
    • Basic heuristic dependency analysis
  • *.in files are analyzed with RustAnalyzer:
    • All basic standard analyses supported (source code overview, duplication, file size, concerns, findings, metrics, controls)
    • Advanced code cleaning (empty lines and comments removed for LOC calculations, additional cleaning for duplication calculations)
    • Unit size analysis
    • Conditional complexity analysis
    • No dependency analysis

2026-06-24 10:40