apache / arrow-nanoarrow - 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

txt

pyi

pxd

rmd

gitattributes

cfg

clang-format

clang-tidy

27 extensions are included in analyses: h, py, c, r, cc, md, rd, sh, yaml, rst, txt, gitignore, hpp, pyi, pyx, pxd, dockerfile, in, json, toml, rmd, gitattributes, ipynb, cpp, cfg, clang-format, clang-tidy
5 criteria are used to exclude files from analysis:

exclude files with path like ".*/[.][a-zA-Z0-9_]+.*" (Hidden files and folders) (1312 files).
exclude files with path like ".*/(3rd|[Tt]hird)[-_]?[Pp]arty/.*" (Dependencies) (1722 files).
exclude files with path like ".*/docs/.*" (Documentation) (779 files).
exclude files with path like ".*/git[-]history[.]txt" (Git history) (41 files).
exclude files with path like ".*/git[-][a-zA-Z0-9_]+[.]txt" (Git data exports for sokrates analyses) (0 files).

The source code folder contains 19,271 files:

10,783 files are included in analyses.
8,488 files are excluded from analyses:

Explore all 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.

Main Code

All manually created or maintained source code that defines logic of the product that is run in a production environment.

pyi

pxd

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The following criteria are used to filter files:

files with paths like ".*".

5494 files match defined criteria (1,030,699 LOC, 100.0% vs. main code):

1,230 *.c files (457,970 LOC)
1,230 *.h files (190,814 LOC)
1,107 *.py files (134,316 LOC)
328 *.pyx files (114,923 LOC)
328 *.cc files (54,202 LOC)
451 *.hpp files (40,385 LOC)
328 *.pyi files (23,083 LOC)
287 *.pxd files (9,389 LOC)
164 *.in files (3,772 LOC)
41 *.toml files (1,845 LOC)

" *.c" is biggest, containing 44.43% of LOC.
" *.toml" is smallest, containing 0.18% of LOC.

Test Code

Used only for testing of the product. Normally not deployed in a production environment.

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The following criteria are used to filter files:

files with paths like ".*_test[.].*".
files with paths like ".*/test_.*".
files with paths like ".*/testing[.].*".
files with paths like ".*/[Tt]ests/.*".
files with paths like ".*[-]test[-].*".

1927 files match defined criteria (695,483 LOC, 67.5% vs. main code):

984 *.cc files (559,445 LOC)
902 *.py files (135,669 LOC)
41 *.c files (369 LOC)

" *.cc" is biggest, containing 80.44% of LOC.
" *.c" is smallest, containing 0.05% of LOC.

Build and Deployment Code

Source code used to configure or support build and deployment process.

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The following criteria are used to filter files:

files with paths like ".*[.]git[a-z]+".
files with paths like ".*/[.]gitignore".
files with paths like ".*[.]sh".
files with paths like ".*[.]dockerfile".
files with paths like ".*/[.]gitattributes".

1025 files match defined criteria (54,243 LOC, 5.3% vs. main code):

779 *.sh files (44,649 LOC)
246 *.dockerfile files (9,594 LOC)

" *.sh" is biggest, containing 82.31% of LOC.
" *.dockerfile" is smallest, containing 17.69% of LOC.

Other Code

txt

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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]+".
files with paths like ".*/[.]gitignore".
files with paths like ".*[.]json".
files with paths like ".*/LICENSE[.][a-z0-9]+".
files with paths like ".*[.](rst|rest|resttxt|rsttxt)".

2337 files match defined criteria (196,923 LOC, 19.1% vs. main code):

861 *.md files (83,353 LOC)
369 *.txt files (49,528 LOC)
41 *.ipynb files (29,561 LOC)
123 *.json files (10,988 LOC)
410 *.c files (9,799 LOC)
246 *.h files (5,617 LOC)
123 *.cc files (4,059 LOC)
82 *.sh files (1,845 LOC)
41 *.toml files (1,148 LOC)
41 *.cpp files (1,025 LOC)

" *.md" is biggest, containing 42.33% of LOC.
" *.cpp" is smallest, containing 0.52% of LOC.

Analyzers

Info about analyzers used for source code examinations.

*.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

*.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

*.pyx 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

*.cc 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

*.hpp 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

*.pyi 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

*.pxd 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

*.toml files are analyzed with DefaultLanguageAnalyzer:

All basic standard analyses supported (source code overview, duplication, file size, concerns, findings, metrics, controls)

Basic code cleaning (empty lines removed for LOC calculations and duplication calculations)

No unit size analysis

No conditional complexity analysis

No dependency analysis

2025-05-07 20:49