microsoft / tensorwatch
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
3,403 LOC (51%)
25 files
|
found text
|
found text per file
1 GENERAL Concerns
The "general" group contains
2
concerns.
TODOs
Unclassified
general
1.1 TODOs
3,403 LOC (51%)
25 files
|
found text
|
found text per file
The following criteria are used to filter files:
files with any line of content like "
.*(TODO|FIXME)( |:| ).*
".
25
files match defined criteria (
3,403
lines of code,
51.6%
vs. main code). All matches are in *.py files.
49
lines match the content pattern.
details...
per component - primary logical decomposition
tensorwatch
in 10 files, 1,227 LOC (57%)
tensorwatch/model_graph/hiddenlayer
in 7 files, 1,282 LOC (70%)
tensorwatch/saliency
in 2 files, 371 LOC (46%)
tensorwatch/mpl
in 2 files, 220 LOC (46%)
tensorwatch/plotly
in 3 files, 280 LOC (99%)
tensorwatch/embeddings
in 1 file 23 LOC (95%)