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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.

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Duplication Overall

5% duplication:

6,191 cleaned lines of cleaned code (without empty lines, comments, and frequently duplicated constructs such as imports)
340 duplicated lines

28 duplicates

Duplication per Extension

Duplication per Component (primary)

Duplication Between Components (50+ lines)

Download: SVG DOT (open online Graphviz editor)

From Component --> To Component	Duplicated Lines	File Pairs	Details
tensorwatch/mpl (6%) --> tensorwatch/plotly (11%)	58	1 file pair	details...

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Longest Duplicates

The list of 20 longest duplicates.

See data for all 28 duplicates...

Size	#	Folders	Files	Lines	Code
29	x 2	tensorwatch/mpl tensorwatch/plotly	line_plot.py line_plot.py	133:165 (22%) 114:146 (22%)	view
18	x 2	tensorwatch/mpl tensorwatch/mpl	bar_plot.py histogram.py	30:50 (20%) 28:48 (39%)	view
10	x 2	tensorwatch/model_graph/torchstat tensorwatch/model_graph	reporter.py torchstat_utils.py	10:20 (14%) 45:55 (16%)	view
9	x 2	tensorwatch tensorwatch	lv_types.py visualizer.py	53:69 (7%) 15:31 (14%)	view
9	x 2	tensorwatch/saliency tensorwatch/saliency	inverter_util.py inverter_util.py	296:328 (3%) 454:485 (3%)	view
9	x 2	tensorwatch tensorwatch	watcher.py watcher_client.py	49:63 (14%) 50:64 (17%)	view
8	x 2	tensorwatch/mpl tensorwatch/mpl	bar_plot.py line_plot.py	31:38 (8%) 52:59 (6%)	view
8	x 2	tensorwatch/mpl tensorwatch/mpl	histogram.py line_plot.py	29:36 (17%) 52:59 (6%)	view
7	x 2	tensorwatch/model_graph/hiddenlayer tensorwatch/model_graph/hiddenlayer	pytorch_builder.py pytorch_builder_trace.py	97:107 (8%) 78:88 (15%)	view
7	x 2	tensorwatch/mpl tensorwatch/mpl	histogram.py pie_chart.py	46:56 (15%) 30:40 (19%)	view
7	x 2	tensorwatch/plotly tensorwatch	base_plotly_plot.py vis_base.py	94:104 (9%) 141:151 (5%)	view
7	x 2	tensorwatch/model_graph/hiddenlayer tensorwatch/model_graph/hiddenlayer	pytorch_builder.py pytorch_builder_grad.py	97:107 (8%) 101:109 (10%)	view
7	x 2	tensorwatch tensorwatch	image_utils.py image_utils.py	62:69 (8%) 110:117 (8%)	view
7	x 2	tensorwatch/model_graph/hiddenlayer tensorwatch/model_graph/hiddenlayer	summary_graph.py summary_graph.py	417:423 (1%) 484:490 (1%)	view
7	x 2	tensorwatch/model_graph/hiddenlayer tensorwatch/model_graph/hiddenlayer	pytorch_builder_grad.py pytorch_builder_trace.py	101:109 (10%) 78:88 (15%)	view
6	x 2	tensorwatch tensorwatch	stream_factory.py watcher_base.py	29:35 (9%) 51:57 (4%)	view
6	x 2	tensorwatch/model_graph/hiddenlayer tensorwatch/model_graph/hiddenlayer	pytorch_builder.py pytorch_builder_grad.py	19:29 (7%) 18:28 (9%)	view
6	x 2	tensorwatch/model_graph/hiddenlayer tensorwatch/model_graph/hiddenlayer	pytorch_builder_trace.py pytorch_draw_model.py	81:88 (13%) 26:33 (6%)	view
6	x 2	tensorwatch/model_graph/hiddenlayer tensorwatch/model_graph/hiddenlayer	transforms.py transforms.py	33:40 (4%) 98:105 (4%)	view
6	x 2	tensorwatch/model_graph/hiddenlayer tensorwatch/model_graph/hiddenlayer	pytorch_builder_grad.py pytorch_draw_model.py	102:109 (9%) 26:33 (6%)	view

Duplicated Units

The list of top 3 duplicated units.

See data for all 3 unit duplicates...

Size	#	Folders	Files	Lines	Code
10	x 2	tensorwatch/model_graph/torchstat tensorwatch/model_graph	reporter.py torchstat_utils.py	0:0 0:0	view
12	x 2	tensorwatch tensorwatch	watcher.py watcher_client.py	0:0 0:0	view
8	x 2	tensorwatch tensorwatch	image_utils.py image_utils.py	0:0 0:0	view