openai / shap-e
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
mtl
obj
  • 7 extensions are included in analyses: py, md, ipynb, txt, mtl, gitignore, obj
  • 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.

main9962 LOC (95%) 68 files
test0 LOC (0%) 0 files
generated0 LOC (0%) 0 files
build and deployment38 LOC (<1%) 2 files
other479 LOC (4%) 6 files
Main Code
All manually created or maintained source code that defines logic of the product that is run in a production environment.
Explore:   circles  |  sunburst
  • The following criteria are used to filter files:
    • files with paths like ".*".
  • 68 files match defined criteria (9,962 LOC, 100.0% vs. main code). All matches are in *.py files.


*.py9962 LOC (100%) 68 files
Build and Deployment Code
Source code used to configure or support build and deployment process.
Explore:   circles  |  sunburst
  • The following criteria are used to filter files:
    • files with paths like ".*[.]git[a-z]+".
    • files with paths like ".*/[.]gitignore".
    • files with paths like ".*/setup[.]py".
  • 2 files match defined criteria (38 LOC, 0.4% vs. main code):
    • 1 *.py files (35 LOC)
    • 1 *.gitignore files (3 LOC)
  • " *.py" is biggest, containing 92.11% of LOC.
  • " *.gitignore" is smallest, containing 7.89% of LOC.


*.py35 LOC (92%) 1 file
*.gitignore3 LOC (7%) 1 file
Other Code
mtl
Explore:   circles  |  sunburst
  • The following criteria are used to filter files:
    • files with paths like ".*[.]md".
    • files with paths like ".*/README[.][a-z0-9]+".
    • files with paths like ".*/[Ee]xamples/.*".
    • files with paths like ".*[.]mtl".
    • files with paths like ".*[.]txt".
  • 6 files match defined criteria (479 LOC, 4.8% vs. main code):
    • 3 *.ipynb files (326 LOC)
    • 2 *.md files (101 LOC)
    • 1 *.mtl files (52 LOC)
  • " *.ipynb" is biggest, containing 68.06% of LOC.
  • " *.mtl" is smallest, containing 10.86% of LOC.


*.ipynb326 LOC (68%) 3 files
*.md101 LOC (21%) 2 files
*.mtl52 LOC (10%) 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

2026-06-24 10:34