tensorflow / adanet
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
4,659 LOC (58%)
27 files
|
found text
|
found text per file
1 GENERAL Concerns
The "general" group contains
2
concerns.
TODOs
Unclassified
general
1.1 TODOs
4,659 LOC (58%)
27 files
|
found text
|
found text per file
The following criteria are used to filter files:
files with any line of content like "
.*(TODO|FIXME)( |:| ).*
".
27
files match defined criteria (
4,659
lines of code,
58.8%
vs. main code). All matches are in *.py files.
57
lines match the content pattern.
details...
per component - primary logical decomposition
adanet/core
in 9 files, 3,487 LOC (78%)
adanet/ensemble
in 3 files, 436 LOC (78%)
adanet/experimental
in 10 files, 350 LOC (65%)
adanet/autoensemble
in 1 file 164 LOC (57%)
adanet/subnetwork
in 1 file 89 LOC (46%)
adanet/distributed
in 2 files, 115 LOC (85%)
adanet/replay
in 1 file 18 LOC (100%)