Intro

For duplication, we look at places in code where there are 6 or more lines of code that are exactly the same.
Before duplication is calculated, the code is cleaned to remove empty lines, comments, and frequently duplicated constructs such as imports.
You should aim at having as little as possible (<5%) of duplicated code as high-level of duplication can lead to maintenance difficulties, poor factoring, and logical contradictions.

Learn more...

Duplication Overall

15% duplication:

1,369 cleaned lines of cleaned code (without empty lines, comments, and frequently duplicated constructs such as imports)
214 duplicated lines

23 duplicates

Duplication per Extension

Duplication per Component (primary)

Longest Duplicates

The list of 20 longest duplicates.

See data for all 23 duplicates...

Size	#	Folders	Files	Lines	Code
15	x 2	connect-audio-stream-solution connect-audio-stream-solution	template.yaml template.yaml	344:358 (3%) 396:410 (3%)	view
14	x 2	connect-audio-stream-solution connect-audio-stream-solution	template.yaml template.yaml	282:295 (3%) 360:373 (3%)	view
14	x 2	connect-audio-stream-solution connect-audio-stream-solution	template.yaml template.yaml	267:280 (3%) 345:358 (3%)	view
14	x 2	connect-audio-stream-solution connect-audio-stream-solution	template.yaml template.yaml	360:373 (3%) 412:425 (3%)	view
14	x 2	connect-audio-stream-solution connect-audio-stream-solution	template.yaml template.yaml	282:295 (3%) 412:425 (3%)	view
14	x 2	connect-audio-stream-solution connect-audio-stream-solution	template.yaml template.yaml	267:280 (3%) 397:410 (3%)	view
10	x 2	connect-audio-stream-solution connect-audio-stream-solution	template.yaml template.yaml	126:135 (2%) 154:163 (2%)	view
9	x 2	connect-audio-stream-solution sagemaker-voice-classification	template.yaml sagemaker_template.yaml	88:96 (2%) 59:67 (5%)	view
9	x 2	sagemaker-voice-classification/notebook sagemaker-voice-classification/notebook	inference.py train.py	48:57 (8%) 100:109 (5%)	view
8	x 2	connect-audio-stream-solution connect-audio-stream-solution	template.yaml template.yaml	166:173 (1%) 344:351 (1%)	view
8	x 2	connect-audio-stream-solution connect-audio-stream-solution	template.yaml template.yaml	166:173 (1%) 396:403 (1%)	view
7	x 2	sagemaker-voice-classification/notebook sagemaker-voice-classification/notebook	coswara_dataset.py train.py	99:105 (8%) 173:179 (4%)	view
7	x 2	connect-audio-stream-solution connect-audio-stream-solution	template.yaml template.yaml	167:173 (1%) 267:273 (1%)	view
7	x 2	sagemaker-voice-classification/notebook sagemaker-voice-classification/notebook	train.py train.py	34:41 (4%) 66:73 (4%)	view
6	x 2	sagemaker-voice-classification/notebook sagemaker-voice-classification/notebook	coswara_dataset.py inference.py	55:60 (7%) 75:80 (5%)	view
6	x 2	connect-audio-stream-solution connect-audio-stream-solution	template.yaml template.yaml	198:203 (1%) 360:365 (1%)	view
6	x 2	connect-audio-stream-solution sagemaker-voice-classification	template.yaml sagemaker_template.yaml	360:365 (1%) 84:89 (3%)	view
6	x 2	connect-audio-stream-solution sagemaker-voice-classification	template.yaml sagemaker_template.yaml	282:287 (1%) 84:89 (3%)	view
6	x 2	sagemaker-voice-classification/notebook sagemaker-voice-classification/notebook	coswara_dataset.py inference.py	64:69 (7%) 81:86 (5%)	view
6	x 2	connect-audio-stream-solution sagemaker-voice-classification	template.yaml sagemaker_template.yaml	198:203 (1%) 84:89 (3%)	view

Duplicated Units

The list of top 1 duplicated units.

See data for all 1 unit duplicate

Size	#	Folders	Files	Lines	Code
8	x 2	sagemaker-voice-classification/notebook sagemaker-voice-classification/notebook	train.py inference.py	0:0 0:0	view