pytorch / ci-hud
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
gitattributes
txt
  • 12 extensions are included in analyses: js, yml, md, css, json, py, html, svg, gitignore, gitattributes, txt, yaml
  • 3 criteria are used to exclude files from analysis:
    • exclude files with path like ".*/[.][a-zA-Z0-9_]+.*" (Hidden files and folders) (21 files).
    • 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.

main6287 LOC (96%) 46 files
test6 LOC (<1%) 1 files
generated0 LOC (0%) 0 files
build and deployment0 LOC (0%) 0 files
other251 LOC (3%) 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 ".*".
  • 46 files match defined criteria (6,287 lines of code, 100.0% vs. main code):
    • 40 *.js files (5,650 lines of code)
    • 1 *.py files (296 lines of code)
    • 3 *.css files (256 lines of code)
    • 2 *.html files (85 lines of code)
  • " *.js" is biggest, containing 89.87% of code.
  • " *.html" is smallest, containing 1.35% of code.


*.js5650 LOC (89%) 40 files
*.py296 LOC (4%) 1 files
*.css256 LOC (4%) 3 files
*.html85 LOC (1%) 2 files
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]est[.].*".
    • files with paths like ".*[.]test[.].*".
  • 1 file matches defined criteria (6 lines of code, 0.1% vs. main code). All matches are in *.js files.


*.js6 LOC (100%) 1 files
Other Code
Explore:   circles  |  sunburst
  • The following criteria are used to filter files:
    • files with paths like ".*[.]md".
    • files with paths like ".*[.]json".
    • files with paths like ".*/README[.][a-z0-9]+".
    • files with paths like ".*/[.]gitignore".
    • files with paths like ".*[.]txt".
  • 6 files match defined criteria (251 lines of code, 4.0% vs. main code):
    • 3 *.json files (146 lines of code)
    • 3 *.md files (105 lines of code)
  • " *.json" is biggest, containing 58.17% of code.
  • " *.md" is smallest, containing 41.83% of code.


*.json146 LOC (58%) 3 files
*.md105 LOC (41%) 3 files
Analyzers
Info about analyzers used for source code examinations.
  • *.js files are analyzed with JavaScriptAnalyzer:
    • 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
  • *.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
  • *.css files are analyzed with CssAnalyzer:
    • 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)
    • No unit size analysis
    • No conditional complexity analysis
    • No dependency analysis
  • *.html files are analyzed with HtmlAnalyzer:
    • 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


2022-04-15 01:11