tensorflow / probability
Components & Dependencies

An overview of source code logical components.

Intro

Logical decomposition is a representation of the organization of the main source code, where every and each file is put in exactly one logical component.

  • A software system can have one or more logical decompositions.
  • A logical decomposition can be defined in two ways in Sokrates.
  • First approach is based on the folders structure. Components are mapped to folders at defined folder depth relative to the source code root.
  • Second approach is based on explicit definition of each component. In such explicit definitions, components are explicitly named and their files are selected based on explicitly defined path and content filters.
  • A logical decomposition is considered invalid if a file is selected into two or more components.This constraint is introduced in order to facilitate measuring of dependencies among components.
  • Files not assigned to any component are put into a special "Unclassified" component.
Learn more...
Logical Decompositions Overview

Analyzed system has 1 logical decomposition:

  • primary (13 components)

Logical Decomposition #1: PRIMARY

The decompositions is based on the folder structure (relative to the source code root), with automatically defined folder depth to have at least 10 components.

Bubble Chart | Tree Map
Components
The "primary" logical decomposition has 13 components.
  • 747 files, 222,903 lines of code (100.0% vs. main code).
  • "spinoffs/inference_gym" is biggest, containing 53.5% of code.
  • "tensorflow_probability" is smallest, containing 0% of code.


spinoffs/inference_gym119261 LOC (53%) 81 files
tensorflow_probability/python93816 LOC (42%) 571 files
spinoffs/oryx5550 LOC (2%) 58 files
spinoffs/fun_mc2942 LOC (1%) 20 files
discussion/turnkey_inference_candidate307 LOC (<1%) 2 files
tensorflow_probability/substrates289 LOC (<1%) 4 files
discussion/pathfinder249 LOC (<1%) 1 files
discussion/neutra210 LOC (<1%) 2 files
tensorflow_probability/g3doc123 LOC (<1%) 2 files
ROOT101 LOC (<1%) 3 files
tensorflow_probability/tools46 LOC (<1%) 1 files
testing6 LOC (<1%) 1 files
tensorflow_probability3 LOC (<1%) 1 files
Dependencies
Dependencies among components are static code dependencies among files in different components.

No component dependencies found.


2022-02-03 08:03