openai / gym3
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
  • 7 extensions are included in analyses: py, md, yaml, txt, c, gitignore, h
  • 3 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).
    • exclude files with path like ".*/docs/.*" (Documentation) (3 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.

main1921 LOC (66%) 25 files
test685 LOC (23%) 10 files
generated0 LOC (0%) 0 files
build and deployment146 LOC (5%) 3 files
other157 LOC (5%) 4 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 ".*".
  • 25 files match defined criteria (1,921 LOC, 100.0% vs. main code):
    • 23 *.py files (1,707 LOC)
    • 1 *.c files (128 LOC)
    • 1 *.h files (86 LOC)
  • " *.py" is biggest, containing 88.86% of LOC.
  • " *.h" is smallest, containing 4.48% of LOC.


*.py1707 LOC (88%) 23 files
*.c128 LOC (6%) 1 file
*.h86 LOC (4%) 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 ".*_test[.].*".
    • files with paths like ".*/testing[.].*".
    • files with paths like ".*/test_.*".
  • 10 files match defined criteria (685 LOC, 35.7% vs. main code). All matches are in *.py files.


*.py685 LOC (100%) 10 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 ".*/[.]github/workflows/.*[.]ya?ml".
    • files with paths like ".*/setup[.]py".
  • 3 files match defined criteria (146 LOC, 7.6% vs. main code):
    • 1 *.gitignore files (86 LOC)
    • 1 *.py files (32 LOC)
    • 1 *.yaml files (28 LOC)
  • " *.gitignore" is biggest, containing 58.9% of LOC.
  • " *.yaml" is smallest, containing 19.18% of LOC.


*.gitignore86 LOC (58%) 1 file
*.py32 LOC (21%) 1 file
*.yaml28 LOC (19%) 1 file
Other Code
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 ".*[.]txt".
  • 4 files match defined criteria (157 LOC, 8.2% vs. main code). All matches are in *.md files.


*.md157 LOC (100%) 4 files
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
  • *.c files are analyzed with CStyleAnalyzer:
    • 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
  • *.h files are analyzed with CppAnalyzer:
    • 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
    • Advanced heuristic dependency analysis

2026-06-24 10:32