aws / sagemaker-hyperpod-recipes
Duplication

Places in code with 6 or more lines that are exactly the same.

Intro
Learn more...
Duplication Overall
system79% (9,047 lines)
dependency graphs: 2D graph | 3D graph | 3D graph (with duplicates)...
Duplication per Extension
yaml92% (9,019 lines)
py1% (28 lines)
Duplication per Component (primary)
recipes_collection96% (8,911 lines)
launcher6% (112 lines)
launcher_scripts28% (24 lines)
template0% (0 lines)
ROOT0% (0 lines)
Longest Duplicates
The list of 50 longest duplicates.
See data for all 11,173 duplicates...
Size#FoldersFilesLinesCode
108 x 2 recipes_collection/recipes/fine-tuning/llama
recipes_collection/recipes/fine-tuning/llama
4:152 (100%)
4:152 (100%)
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108 x 2 recipes_collection/recipes/fine-tuning/llama
recipes_collection/recipes/fine-tuning/llama
4:152 (100%)
4:152 (100%)
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106 x 2 recipes_collection/recipes/fine-tuning/llama
recipes_collection/recipes/fine-tuning/llama
4:150 (100%)
4:150 (100%)
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106 x 2 recipes_collection/recipes/fine-tuning/llama
recipes_collection/recipes/fine-tuning/llama
4:150 (100%)
4:150 (100%)
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99 x 2 recipes_collection/recipes/training/llama
recipes_collection/recipes/training/llama
14:150 (92%)
14:150 (92%)
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99 x 2 recipes_collection/recipes/training/llama
recipes_collection/recipes/training/llama
14:149 (92%)
14:149 (92%)
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99 x 2 recipes_collection/recipes/training/llama
recipes_collection/recipes/training/llama
14:149 (92%)
14:149 (92%)
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99 x 2 recipes_collection/recipes/training/llama
recipes_collection/recipes/training/llama
14:149 (92%)
14:149 (92%)
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99 x 2 recipes_collection/recipes/training/llama
recipes_collection/recipes/training/llama
14:149 (92%)
14:149 (92%)
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99 x 2 recipes_collection/recipes/training/llama
recipes_collection/recipes/training/llama
14:150 (92%)
14:150 (92%)
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97 x 2 recipes_collection/recipes/training/mixtral
recipes_collection/recipes/training/mixtral
13:138 (92%)
13:138 (92%)
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96 x 2 recipes_collection/recipes/training/mixtral
recipes_collection/recipes/training/mixtral
13:137 (92%)
13:139 (92%)
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96 x 2 recipes_collection/recipes/training/mixtral
recipes_collection/recipes/training/mixtral
13:137 (92%)
13:137 (92%)
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96 x 2 recipes_collection/recipes/training/mixtral
recipes_collection/recipes/training/mixtral
13:139 (92%)
13:137 (92%)
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96 x 2 recipes_collection/recipes/training/mixtral
recipes_collection/recipes/training/mixtral
13:139 (92%)
13:139 (92%)
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92 x 2 recipes_collection/recipes/training/mistral
recipes_collection/recipes/training/mistral
13:133 (92%)
13:133 (92%)
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92 x 2 recipes_collection/recipes/training/mistral
recipes_collection/recipes/training/mistral
13:133 (92%)
13:133 (92%)
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84 x 2 recipes_collection/recipes/fine-tuning/deepseek
recipes_collection/recipes/fine-tuning/deepseek
4:115 (79%)
4:115 (79%)
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84 x 2 recipes_collection/recipes/fine-tuning/deepseek
recipes_collection/recipes/fine-tuning/deepseek
4:115 (79%)
4:115 (79%)
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71 x 2 recipes_collection/recipes/fine-tuning/llama
recipes_collection/recipes/training/llama
4:99 (66%)
4:99 (66%)
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67 x 2 recipes_collection/recipes/fine-tuning/deepseek
recipes_collection/recipes/fine-tuning/llama
62:152 (62%)
62:152 (62%)
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67 x 2 recipes_collection/recipes/fine-tuning/deepseek
recipes_collection/recipes/fine-tuning/llama
62:152 (62%)
62:152 (62%)
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67 x 2 recipes_collection/recipes/fine-tuning/deepseek
recipes_collection/recipes/fine-tuning/llama
62:152 (62%)
62:152 (62%)
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67 x 2 recipes_collection/recipes/fine-tuning/deepseek
recipes_collection/recipes/fine-tuning/llama
62:152 (62%)
62:152 (62%)
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67 x 2 recipes_collection/recipes/fine-tuning/deepseek
recipes_collection/recipes/fine-tuning/llama
62:152 (62%)
62:152 (62%)
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67 x 2 recipes_collection/recipes/fine-tuning/deepseek
recipes_collection/recipes/fine-tuning/llama
62:152 (62%)
62:152 (62%)
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65 x 2 recipes_collection/recipes/fine-tuning/deepseek
recipes_collection/recipes/fine-tuning/llama
62:150 (61%)
62:150 (61%)
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65 x 2 recipes_collection/recipes/fine-tuning/deepseek
recipes_collection/recipes/fine-tuning/llama
62:150 (61%)
62:150 (61%)
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65 x 2 recipes_collection/recipes/fine-tuning/deepseek
recipes_collection/recipes/fine-tuning/llama
62:150 (61%)
62:150 (61%)
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65 x 2 recipes_collection/recipes/fine-tuning/deepseek
recipes_collection/recipes/fine-tuning/llama
62:150 (61%)
62:150 (61%)
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65 x 2 recipes_collection/recipes/fine-tuning/deepseek
recipes_collection/recipes/fine-tuning/llama
62:150 (61%)
62:150 (61%)
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65 x 2 recipes_collection/recipes/fine-tuning/deepseek
recipes_collection/recipes/fine-tuning/llama
62:150 (61%)
62:150 (61%)
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65 x 2 recipes_collection/recipes/fine-tuning/deepseek
recipes_collection/recipes/fine-tuning/deepseek
6:94 (61%)
6:95 (61%)
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65 x 2 recipes_collection/recipes/training/llama
recipes_collection/recipes/training/llama
63:149 (60%)
63:149 (60%)
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65 x 2 recipes_collection/recipes/training/llama
recipes_collection/recipes/training/llama
63:149 (60%)
63:149 (60%)
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64 x 2 recipes_collection/recipes/fine-tuning/deepseek
recipes_collection/recipes/fine-tuning/deepseek
4:90 (60%)
4:89 (60%)
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64 x 2 recipes_collection/recipes/fine-tuning/deepseek
recipes_collection/recipes/fine-tuning/deepseek
6:94 (60%)
6:93 (59%)
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64 x 2 recipes_collection/recipes/fine-tuning/deepseek
recipes_collection/recipes/fine-tuning/deepseek
4:90 (60%)
4:89 (60%)
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62 x 2 recipes_collection/recipes/fine-tuning/deepseek
recipes_collection/recipes/fine-tuning/deepseek
6:89 (58%)
6:89 (57%)
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62 x 2 recipes_collection/recipes/fine-tuning/deepseek
recipes_collection/recipes/fine-tuning/deepseek
6:89 (58%)
6:89 (57%)
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62 x 2 recipes_collection/recipes/fine-tuning/deepseek
recipes_collection/recipes/fine-tuning/deepseek
6:89 (58%)
6:89 (58%)
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62 x 2 recipes_collection/recipes/training/mixtral
recipes_collection/recipes/training/mixtral
57:139 (59%)
57:139 (59%)
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61 x 2 recipes_collection/recipes/fine-tuning/llama
recipes_collection/recipes/fine-tuning/llama
4:85 (55%)
4:85 (56%)
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60 x 2 recipes_collection/recipes/fine-tuning/llama
recipes_collection/recipes/fine-tuning/llama
4:86 (56%)
4:86 (56%)
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59 x 2 recipes_collection/recipes/fine-tuning/llama
recipes_collection/recipes/fine-tuning/llama
4:87 (55%)
4:87 (55%)
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59 x 2 recipes_collection/recipes/fine-tuning/llama
recipes_collection/recipes/fine-tuning/llama
4:85 (55%)
4:85 (55%)
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59 x 2 recipes_collection/recipes/fine-tuning/deepseek
recipes_collection/recipes/fine-tuning/deepseek
6:89 (56%)
6:89 (56%)
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59 x 2 recipes_collection/recipes/training/mixtral
recipes_collection/recipes/training/mixtral
61:138 (56%)
60:139 (56%)
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59 x 2 recipes_collection/recipes/training/mixtral
recipes_collection/recipes/training/mixtral
3:76 (56%)
3:76 (56%)
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59 x 2 recipes_collection/recipes/training/mixtral
recipes_collection/recipes/training/mixtral
60:139 (56%)
61:138 (56%)
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