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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

34% duplication:

5,839 cleaned lines of cleaned code (without empty lines, comments, and frequently duplicated constructs such as imports)
2,009 duplicated lines

170 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
dataset-construction/src/ndb_data/generation (15%) --> modelling/src/neuraldb (13%)	350	1 file pair	details...

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Longest Duplicates

The list of 20 longest duplicates.

See data for all 170 duplicates...

Size	#	Folders	Files	Lines	Code
124	x 2	dataset-construction/src/ndb_data dataset-construction/src/ndb_data	sample_questions_100.py sample_questions_250.py	27:250 (100%) 27:250 (100%)	view
72	x 2	dataset-construction/src/ndb_data/generation modelling/src/neuraldb	question_to_db.py convert_spj_to_predictions.py	159:242 (13%) 122:205 (20%)	view
65	x 2	dataset-construction/src/ndb_data dataset-construction/src/ndb_data	sample_questions.py sample_questions_50.py	27:117 (55%) 27:117 (54%)	view
63	x 2	modelling/src/neuraldb/evaluation modelling/src/neuraldb/evaluation	postprocess_baselines.py postprocess_spj.py	37:107 (53%) 36:106 (65%)	view
62	x 2	dataset-construction/src/ndb_data dataset-construction/src/ndb_data	sample_questions_1000.py sample_questions_500.py	27:115 (50%) 27:115 (50%)	view
61	x 2	dataset-construction/src/ndb_data dataset-construction/src/ndb_data	sample_questions.py sample_questions_500.py	27:113 (52%) 27:113 (49%)	view
61	x 2	dataset-construction/src/ndb_data dataset-construction/src/ndb_data	sample_questions.py sample_questions_1000.py	27:113 (52%) 27:113 (49%)	view
61	x 2	dataset-construction/src/ndb_data dataset-construction/src/ndb_data	sample_questions_1000.py sample_questions_500.py	117:251 (49%) 117:251 (49%)	view
61	x 2	dataset-construction/src/ndb_data dataset-construction/src/ndb_data	sample_questions_1000.py sample_questions_50.py	27:113 (49%) 27:113 (50%)	view
61	x 2	dataset-construction/src/ndb_data dataset-construction/src/ndb_data	sample_questions_50.py sample_questions_500.py	27:113 (50%) 27:113 (49%)	view
58	x 2	dataset-construction/src/ndb_data/generation modelling/src/neuraldb	question_to_db.py convert_spj_to_predictions.py	245:327 (11%) 208:290 (16%)	view
54	x 2	modelling/src/neuraldb modelling/src/neuraldb	final_scoring_with_dbsize.py final_scoring_with_dbsize_sweep.py	32:101 (33%) 32:101 (25%)	view
35	x 2	dataset-construction/src/ndb_data dataset-construction/src/ndb_data	sample_questions_250.py sample_questions_50.py	27:72 (28%) 27:72 (29%)	view
35	x 2	dataset-construction/src/ndb_data dataset-construction/src/ndb_data	sample_questions.py sample_questions_250.py	27:72 (29%) 27:72 (28%)	view
35	x 2	dataset-construction/src/ndb_data dataset-construction/src/ndb_data	sample_questions_100.py sample_questions_500.py	27:72 (28%) 27:72 (28%)	view
35	x 2	dataset-construction/src/ndb_data dataset-construction/src/ndb_data	sample_questions_100.py sample_questions_50.py	27:72 (28%) 27:72 (29%)	view
35	x 2	dataset-construction/src/ndb_data dataset-construction/src/ndb_data	sample_questions.py sample_questions_100.py	27:72 (29%) 27:72 (28%)	view
35	x 2	dataset-construction/src/ndb_data dataset-construction/src/ndb_data	sample_questions_250.py sample_questions_500.py	27:72 (28%) 27:72 (28%)	view
35	x 2	dataset-construction/src/ndb_data dataset-construction/src/ndb_data	sample_questions_100.py sample_questions_1000.py	27:72 (28%) 27:72 (28%)	view
35	x 2	dataset-construction/src/ndb_data dataset-construction/src/ndb_data	sample_questions_1000.py sample_questions_250.py	27:72 (28%) 27:72 (28%)	view

Duplicated Units

The list of top 5 duplicated units.

See data for all 5 unit duplicates...

Size	#	Folders	Files	Lines	Code
56	x 2	modelling/src/neuraldb modelling/src/neuraldb	final_scoring_with_dbsize_sweep.py final_scoring_with_dbsize.py	0:0 0:0	view
22	x 2	dataset-construction/src/ndb_data/construction dataset-construction/src/ndb_data/construction	make_database_initial_cache.py make_database_initial.py	0:0 0:0	view
14	x 2	modelling/src/neuraldb dataset-construction/src/ndb_data/generation	convert_spj_to_predictions.py question_to_db.py	0:0 0:0	view
7	x 2	modelling/src/neuraldb dataset-construction/src/ndb_data/generation	convert_spj_to_predictions.py question_to_db.py	0:0 0:0	view
6	x 2	modelling/src/neuraldb dataset-construction/src/ndb_data/generation	convert_spj_to_predictions.py question_to_db.py	0:0 0:0	view