tensorflow / recommenders-addons
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
4,312 LOC (6%)
8 files
|
found text
|
found text per file
1 GENERAL Concerns
The "general" group contains
2
concerns.
TODOs
Unclassified
general
1.1 TODOs
4,312 LOC (6%)
8 files
|
found text
|
found text per file
The following criteria are used to filter files:
files with any line of content like "
.*(TODO|FIXME)( |:| ).*
".
8
files match defined criteria (
4,312
lines of code,
6.6%
vs. main code):
2
*.hpp files (
1,557
lines of code)
1
*.cuh files (
1,092
lines of code)
1
*.bzl files (
1,046
lines of code)
2
*.cc files (
470
lines of code)
1
*.h files (
108
lines of code)
1
*.py files (
39
lines of code)
18
lines match the content pattern.
details...
per component - primary logical decomposition
tensorflow_recommenders_addons/dynamic_embedding/core
in 5 files, 3,119 LOC (5%)
build_deps/toolchains/gpu
in 1 file 1,046 LOC (21%)
tensorflow_recommenders_addons/embedding_variable/core
in 1 file 108 LOC (11%)
tensorflow_recommenders_addons
in 1 file 39 LOC (21%)