tensorflow / quantum
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 (16 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 16 components.
  • 103 files, 11,315 lines of code (81.5% vs. main code).
  • "tensorflow_quantum/core/ops" is biggest, containing 46.48% of code.
  • "benchmarks" is smallest, containing 0.01% of code.


tensorflow_quantum/core/ops5259 LOC (37%) 41 files
tensorflow_quantum/core/src1886 LOC (13%) 7 files
tensorflow_quantum/core/serialize1166 LOC (8%) 5 files
tensorflow_quantum/python/layers792 LOC (5%) 15 files
tensorflow_quantum/python480 LOC (3%) 3 files
tensorflow_quantum/python/differentiators396 LOC (2%) 6 files
benchmarks/scripts388 LOC (2%) 6 files
tensorflow_quantum/datasets321 LOC (2%) 3 files
tensorflow_quantum/python/optimizers231 LOC (1%) 3 files
tensorflow_quantum/core/proto182 LOC (1%) 4 files
scripts75 LOC (<1%) 2 files
release70 LOC (<1%) 3 files
benchmarks/scripts/models37 LOC (<1%) 2 files
tensorflow_quantum23 LOC (<1%) 1 files
tensorflow_quantum/core8 LOC (<1%) 1 files
benchmarks1 LOC (<1%) 1 files
Dependencies
Dependencies among components are static code dependencies among files in different components.

No component dependencies found.


2022-02-03 08:23