tensorflow / tfjs
Features of Interest
Aspects in the source code identified through RegEx patterns.
Intro
Features of interest are any aspects of a software system that can be identified through patterns in code.
Features of interest provide you with a way to focus your attention on relevant parts of the codebase.
Typical examples include, security, TODOs, logging.
A feature of interest may be present in multiple files. Any source code file may be in zero or multiple features of interest.
Overview
GENERAL
TODOs
12,870 LOC (10%)
94 files
|
found text
|
found text per file
1 GENERAL Concerns
The "general" group contains
2
concerns.
TODOs
Unclassified
general
1.1 TODOs
12,870 LOC (10%)
94 files
|
found text
|
found text per file
The following criteria are used to filter files:
files with any line of content like "
.*(TODO|FIXME)( |:| ).*
".
94
files match defined criteria (
12,870
lines of code,
10.4%
vs. main code):
92
*.ts files (
9,617
lines of code)
1
*.py files (
2,984
lines of code)
1
*.tsx files (
269
lines of code)
106
lines match the content pattern.
details...
per component - primary logical decomposition
tfjs-core
in 57 files, 1,010 LOC (4%)
tfjs-backend-webgl
in 7 files, 3,485 LOC (21%)
tfjs-layers
in 1 file 855 LOC (5%)
tfjs-backend-wasm
in 2 files, 3,056 LOC (21%)
tfjs-node
in 1 file 574 LOC (4%)
tfjs-backend-webgpu
in 14 files, 2,096 LOC (20%)
tfjs-backend-cpu
in 1 file 245 LOC (3%)
tfjs-react-native
in 3 files, 505 LOC (15%)
tfjs-vis
in 2 files, 223 LOC (9%)
tfjs-data
in 1 file 569 LOC (25%)
tfjs-tflite
in 4 files, 174 LOC (19%)
tfjs
in 1 file 78 LOC (11%)