pytorch / tensorpipe
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
5,663 LOC (26%)
29 files
|
found text
|
found text per file
1 GENERAL Concerns
The "general" group contains
2
concerns.
TODOs
Unclassified
general
1.1 TODOs
5,663 LOC (26%)
29 files
|
found text
|
found text per file
The following criteria are used to filter files:
files with any line of content like "
.*(TODO|FIXME)( |:| ).*
".
29
files match defined criteria (
5,663
lines of code,
26.5%
vs. main code):
10
*.cc files (
3,770
lines of code)
18
*.h files (
1,844
lines of code)
1
*.cmake files (
49
lines of code)
42
lines match the content pattern.
details...
per component - primary logical decomposition
tensorpipe/channel
in 14 files, 2,397 LOC (36%)
tensorpipe/common
in 6 files, 792 LOC (14%)
tensorpipe/transport
in 5 files, 648 LOC (14%)
tensorpipe/core
in 2 files, 1,112 LOC (49%)
tensorpipe/benchmark
in 1 file 665 LOC (52%)
cmake
in 1 file 49 LOC (9%)