GoogleCloudPlatform / gcs-connector-for-pytorch
Components

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.

Logical Decompositions Overview

Analyzed system has 1 logical decomposition:

Logical Decomposition #1: PRIMARY

The decompositions is based on the folder structure at level 1 (relative to the source code root).

Bubble Chart | Tree Map
Component Sizes (Lines of Code)
The "primary" logical decomposition has 3 components.
  • 31 files, 2,060 LOC (40.5% vs. main code).
  • "dataflux_pytorch" is biggest, containing 89.47% of LOC.
  • "ROOT" is smallest, containing 2.67% of LOC.


dataflux_pytorch1843 LOC (36%) 22 files
kokoro162 LOC (3%) 7 files
ROOT55 LOC (1%) 2 files
Component Commits
Components ordered by number of commits
Total Commits per Component
All commits, some commits may include files from multiple components.
dataflux_pytorch60 commits (34%)
ROOT14 commits (8%)
kokoro7 commits (4%)
Yearly File Updates Trend per Components
The number of file changes in commits
animated commit history: all time cumulative | 12 months window
2025 2024
dataflux_pytorch
99
ROOT
15
kokoro
9


Dependencies between components in same commits (past 180 days)
The number on the lines shows the number of shared commits.
See detailed temporal dependencies report...

G dataflux_pytorch dataflux_pytorch dataflux_pytorch--dataflux_pytorch 2


2025-05-04 16:03