tensorflow / io
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
12,810 LOC (28%)
37 files
|
found text
|
found text per file
1 GENERAL Concerns
The "general" group contains
2
concerns.
TODOs
Unclassified
general
1.1 TODOs
12,810 LOC (28%)
37 files
|
found text
|
found text per file
The following criteria are used to filter files:
files with any line of content like "
.*(TODO|FIXME)( |:| ).*
".
37
files match defined criteria (
12,810
lines of code,
28.2%
vs. main code):
29
*.cc files (
11,666
lines of code)
5
*.py files (
849
lines of code)
1
*.swift files (
191
lines of code)
1
*.h files (
75
lines of code)
1
*.r files (
29
lines of code)
59
lines match the content pattern.
details...
per component - primary logical decomposition
tensorflow_io/core
in 30 files, 10,813 LOC (33%)
tensorflow_io/python
in 5 files, 849 LOC (8%)
tensorflow_io_gcs_filesystem/core
in 1 file 1,119 LOC (63%)
R-package/scripts
in 1 file 29 LOC (100%)