azure / azure-openai-samples

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

61% duplication:

8,215 cleaned lines of cleaned code (without empty lines, comments, and frequently duplicated constructs such as imports)
5,057 duplicated lines

7,686 duplicates

dependency graphs: 2D graph | 3D graph | 3D graph (with 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
quick_start (30%) --> use_cases (35%)	2643	84 file pairs	details...
archive (251%) --> quick_start (7%)	688	14 file pairs	details...
archive (211%) --> use_cases (7%)	580	6 file pairs	details...

Open 2D force graph... Open 3D force graph...

Show more details on duplication between components...

Longest Duplicates

The list of 50 longest duplicates.

See data for all 7,686 duplicates...

Size	#	Folders	Files	Lines	Code
110	x 2	quick_start/legacy quick_start/v1	07_prompt_engineering.ipynb 07_prompt_engineering.ipynb	67:176 (54%) 73:182 (54%)	view
58	x 2	quick_start/v1 quick_start/v1	11_Assistant.ipynb 11_Assistant.ipynb	232:289 (8%) 324:381 (8%)	view
57	x 2	use_cases/archive/movie_reviews/notebooks use_cases/archive/movie_reviews/notebooks	01-get-embeddings.ipynb 02-personalised-movie-reviews.ipynb	9:65 (12%) 9:65 (3%)	view
55	x 2	use_cases/archive/document_analysis/notebooks use_cases/archive/movie_reviews/notebooks	01-get-embeddings.ipynb 01-get-embeddings.ipynb	1:55 (14%) 1:55 (12%)	view
48	x 2	quick_start/v1 quick_start/v1	11_Assistant.ipynb 11_Assistant.ipynb	326:373 (7%) 539:586 (7%)	view
48	x 2	quick_start/v1 quick_start/v1	11_Assistant.ipynb 11_Assistant.ipynb	234:281 (7%) 539:586 (7%)	view
47	x 2	use_cases/archive/document_analysis/notebooks use_cases/archive/movie_reviews/notebooks	01-get-embeddings.ipynb 02-personalised-movie-reviews.ipynb	9:55 (12%) 9:55 (3%)	view
38	x 2	use_cases/archive/document_analysis/notebooks use_cases/archive/movie_reviews/notebooks	01-get-embeddings.ipynb 01-get-embeddings.ipynb	57:94 (10%) 57:94 (8%)	view
38	x 2	quick_start/legacy quick_start/legacy	03_code_generation.ipynb 04_tokens_and_usage.ipynb	95:132 (28%) 124:161 (23%)	view
35	x 2	use_cases/archive/movie_reviews/notebooks use_cases/archive/movie_reviews/notebooks	02-personalised-movie-reviews.ipynb 02-personalised-movie-reviews.ipynb	614:648 (2%) 704:738 (2%)	view
31	x 2	use_cases/archive/document_analysis/notebooks use_cases/archive/movie_reviews/notebooks	01-get-embeddings.ipynb 01-get-embeddings.ipynb	339:369 (8%) 420:450 (6%)	view
31	x 2	quick_start/legacy quick_start/legacy	04_tokens_and_usage.ipynb 05_OpenAI_parameters.ipynb	131:161 (19%) 168:198 (15%)	view
31	x 2	use_cases/archive/movie_reviews/notebooks use_cases/archive/movie_reviews/notebooks	01-get-embeddings.ipynb 02-personalised-movie-reviews.ipynb	420:450 (6%) 1451:1481 (2%)	view
31	x 2	use_cases/archive/document_analysis/notebooks use_cases/archive/movie_reviews/notebooks	01-get-embeddings.ipynb 02-personalised-movie-reviews.ipynb	339:369 (8%) 1451:1481 (2%)	view
31	x 2	quick_start/legacy quick_start/legacy	03_code_generation.ipynb 05_OpenAI_parameters.ipynb	102:132 (23%) 168:198 (15%)	view
30	x 2	use_cases/archive/document_analysis/notebooks use_cases/archive/docume...ructured_data/notebooks	01-get-embeddings.ipynb document-to-structured-data.ipynb	340:369 (8%) 483:512 (5%)	view
30	x 2	use_cases/archive/docume...ructured_data/notebooks use_cases/archive/movie_reviews/notebooks	document-to-structured-data.ipynb 01-get-embeddings.ipynb	483:512 (5%) 421:450 (6%)	view
30	x 2	use_cases/archive/docume...ructured_data/notebooks use_cases/archive/movie_reviews/notebooks	document-to-structured-data.ipynb 02-personalised-movie-reviews.ipynb	483:512 (5%) 1452:1481 (2%)	view
29	x 2	use_cases/archive/movie_reviews/notebooks use_cases/archive/movie_reviews/notebooks	01-get-embeddings.ipynb 02-personalised-movie-reviews.ipynb	72:100 (6%) 148:176 (1%)	view
29	x 2	quick_start/legacy quick_start/v1	06_best_practice.ipynb 06_best_practice.ipynb	30:58 (5%) 35:63 (4%)	view
28	x 2	use_cases/archive/movie_reviews/notebooks use_cases/archive/movie_reviews/notebooks	02-personalised-movie-reviews.ipynb 02-personalised-movie-reviews.ipynb	150:177 (1%) 357:384 (1%)	view
28	x 2	quick_start/legacy quick_start/legacy	04_tokens_and_usage.ipynb 08_LLM_RAG_demo.ipynb	124:151 (17%) 228:255 (10%)	view
28	x 2	quick_start/v1 quick_start/v1	02_ChatCompletion_api.ipynb 03_code_generation.ipynb	19:46 (11%) 19:46 (11%)	view
28	x 2	quick_start/legacy quick_start/legacy	03_code_generation.ipynb 08_LLM_RAG_demo.ipynb	95:122 (21%) 228:255 (10%)	view
28	x 2	quick_start/v1 quick_start/v1	04_tokens_and_usage.ipynb 07_prompt_engineering.ipynb	27:54 (11%) 3:30 (13%)	view
27	x 2	quick_start/v1 quick_start/v1	04_tokens_and_usage.ipynb 06_best_practice.ipynb	25:51 (11%) 11:37 (4%)	view
27	x 2	use_cases/archive/movie_reviews/notebooks use_cases/archive/movie_reviews/notebooks	01-get-embeddings.ipynb 02-personalised-movie-reviews.ipynb	74:100 (6%) 357:383 (1%)	view
26	x 2	archive/Labs/Clustering-and-Embedding quick_start/legacy	01_create_resource.ipynb 04_tokens_and_usage.ipynb	100:125 (18%) 124:149 (16%)	view
26	x 2	quick_start/v1 quick_start/v1	02_ChatCompletion_api.ipynb 04_tokens_and_usage.ipynb	227:252 (10%) 217:242 (10%)	view
26	x 2	archive/Labs/Clustering-and-Embedding quick_start/legacy	01_create_resource.ipynb 03_code_generation.ipynb	100:125 (18%) 95:120 (19%)	view
26	x 2	quick_start/v1 quick_start/v1	02_ChatCompletion_api.ipynb 03_code_generation.ipynb	227:252 (10%) 210:235 (11%)	view
26	x 2	quick_start/v1 quick_start/v1	05_OpenAI_parameters.ipynb 06_best_practice.ipynb	449:474 (5%) 609:634 (4%)	view
26	x 2	archive/Labs/Clustering-and-Embedding quick_start/legacy	01_create_resource.ipynb 08_LLM_RAG_demo.ipynb	100:125 (18%) 228:253 (10%)	view
26	x 2	quick_start/v1 quick_start/v1	04_tokens_and_usage.ipynb 06_best_practice.ipynb	217:242 (10%) 609:634 (4%)	view
26	x 2	quick_start/v1 quick_start/v1	04_tokens_and_usage.ipynb 05_OpenAI_parameters.ipynb	217:242 (10%) 449:474 (5%)	view
26	x 2	quick_start/v1 quick_start/v1	02_ChatCompletion_api.ipynb 06_best_practice.ipynb	227:252 (10%) 609:634 (4%)	view
26	x 2	quick_start/v1 quick_start/v1	03_code_generation.ipynb 04_tokens_and_usage.ipynb	210:235 (11%) 217:242 (10%)	view
26	x 2	quick_start/legacy quick_start/legacy	06_best_practice.ipynb 08_LLM_RAG_demo.ipynb	11:36 (4%) 11:36 (10%)	view
26	x 2	quick_start/v1 quick_start/v1	03_code_generation.ipynb 05_OpenAI_parameters.ipynb	210:235 (11%) 449:474 (5%)	view
26	x 2	quick_start/v1 quick_start/v1	02_ChatCompletion_api.ipynb 05_OpenAI_parameters.ipynb	227:252 (10%) 449:474 (5%)	view
26	x 2	quick_start/v1 quick_start/v1	03_code_generation.ipynb 06_best_practice.ipynb	210:235 (11%) 609:634 (4%)	view
25	x 2	quick_start/v1 quick_start/v1	05_OpenAI_parameters.ipynb 07_prompt_engineering.ipynb	450:474 (5%) 179:203 (12%)	view
25	x 2	quick_start/v1 quick_start/v1	06_best_practice.ipynb 07_prompt_engineering.ipynb	610:634 (3%) 179:203 (12%)	view
25	x 2	quick_start/v1 quick_start/v1	06_best_practice.ipynb 07_prompt_engineering.ipynb	13:37 (3%) 3:27 (12%)	view
25	x 2	quick_start/v1 quick_start/v1	04_tokens_and_usage.ipynb 07_prompt_engineering.ipynb	218:242 (10%) 179:203 (12%)	view
25	x 2	quick_start/v1 quick_start/v1	03_code_generation.ipynb 07_prompt_engineering.ipynb	211:235 (10%) 179:203 (12%)	view
25	x 2	quick_start/v1 quick_start/v1	02_ChatCompletion_api.ipynb 07_prompt_engineering.ipynb	228:252 (9%) 179:203 (12%)	view
24	x 2	quick_start/legacy quick_start/v1	07_prompt_engineering.ipynb 07_prompt_engineering.ipynb	38:61 (11%) 44:67 (11%)	view
23	x 2	quick_start/v1 quick_start/v1	05_OpenAI_parameters.ipynb 06_best_practice.ipynb	19:41 (4%) 11:33 (3%)	view
23	x 2	use_cases/archive/document_analysis/notebooks use_cases/archive/movie_reviews/notebooks	01-get-embeddings.ipynb 02-personalised-movie-reviews.ipynb	72:94 (6%) 148:170 (1%)	view