pytorch / fairseq
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
14,064 LOC (21%)
39 files
|
found text
|
found text per file
1 GENERAL Concerns
The "general" group contains
2
concerns.
TODOs
Unclassified
general
1.1 TODOs
14,064 LOC (21%)
39 files
|
found text
|
found text per file
The following criteria are used to filter files:
files with any line of content like "
.*(TODO|FIXME)( |:| ).*
".
39
files match defined criteria (
14,064
lines of code,
21.5%
vs. main code). All matches are in *.py files.
62
lines match the content pattern.
details...
per component - primary logical decomposition
fairseq/models
in 11 files, 5,291 LOC (27%)
fairseq/data
in 10 files, 2,946 LOC (26%)
fairseq/modules
in 1 file 23 LOC (<1%)
fairseq/tasks
in 6 files, 2,453 LOC (36%)
fairseq
in 3 files, 1,584 LOC (25%)
fairseq/optim
in 3 files, 372 LOC (13%)
fairseq/criterions
in 2 files, 276 LOC (11%)
fairseq/model_parallel
in 1 file 439 LOC (23%)
fairseq_cli
in 1 file 334 LOC (18%)
fairseq/logging
in 1 file 346 LOC (48%)