aws-deepracer / aws-deepracer-simulation-training-notebook
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
6,824 LOC (32%)
24 files
|
found text
|
found text per file
1 GENERAL Concerns
The "general" group contains
2
concerns.
TODOs
Unclassified
general
1.1 TODOs
6,824 LOC (32%)
24 files
|
found text
|
found text per file
The following criteria are used to filter files:
files with any line of content like "
.*(TODO|FIXME)( |:| ).*
".
24
files match defined criteria (
6,824
lines of code,
32.6%
vs. main code). All matches are in *.py files.
59
lines match the content pattern.
details...
per component - primary logical decomposition
common/sagemaker_rl/orchestrator
in 2 files, 1,353 LOC (39%)
src/markov
in 6 files, 1,897 LOC (71%)
src/markov/boto
in 1 file 227 LOC (9%)
src/markov/agent_ctrl
in 1 file 685 LOC (46%)
src/markov/multi_agent_coach
in 3 files, 724 LOC (56%)
src/markov/virtual_event
in 2 files, 240 LOC (22%)
common/sagemaker_rl
in 2 files, 431 LOC (45%)
src/markov/sensors
in 1 file 180 LOC (22%)
src/markov/track_geom
in 1 file 78 LOC (10%)
src/markov/cameras
in 1 file 198 LOC (31%)
src/markov/metrics
in 1 file 392 LOC (71%)
src/markov/log_handler
in 2 files, 343 LOC (70%)
src/lib
in 1 file 76 LOC (100%)