aws / fmeval

Duplication

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

Longest Duplicates

The list of 50 longest duplicates.

See data for all 101 duplicates...

Size	#	Folders	Files	Lines	Code
59	x 2	src/fmeval/eval_algorithms src/fmeval/eval_algorithms	qa_accuracy_semantic_robustness.py summarization_accuracy_semantic_robus...	227:320 (29%) 198:293 (33%)	view
28	x 2	src/fmeval/eval_algorithms src/fmeval/transforms	semantic_perturbation_utils.py semantic_perturbations.py	103:132 (25%) 80:109 (18%)	view
20	x 2	src/fmeval/model_runners src/fmeval/model_runners	bedrock_model_runner.py sm_model_runner.py	72:97 (30%) 82:107 (27%)	view
16	x 2	src/fmeval/eval_algorithms src/fmeval/eval_algorithms	classification_accuracy_semantic_robu... summarization_accuracy_semantic_robus...	155:181 (10%) 197:223 (8%)	view
15	x 2	src/fmeval/eval_algorithms src/fmeval/eval_algorithms	classification_accuracy_semantic_robu... qa_accuracy_semantic_robustness.py	156:181 (9%) 227:252 (7%)	view
13	x 2	src/fmeval/eval_algorithms src/fmeval/eval_algorithms	general_semantic_robustness.py summarization_accuracy_semantic_robus...	290:324 (6%) 236:271 (7%)	view
13	x 2	src/fmeval/eval_algorithms src/fmeval/eval_algorithms	classification_accuracy.py prompt_stereotyping.py	220:251 (5%) 141:170 (8%)	view
13	x 2	src/fmeval/eval_algorithms src/fmeval/eval_algorithms	classification_accuracy.py prompt_stereotyping.py	285:298 (5%) 203:215 (8%)	view
13	x 2	src/fmeval/eval_algorithms src/fmeval/eval_algorithms	general_semantic_robustness.py qa_accuracy_semantic_robustness.py	290:324 (6%) 265:299 (6%)	view
12	x 2	src/fmeval/eval_algorithms src/fmeval/eval_algorithms	factual_knowledge.py qa_accuracy.py	244:263 (9%) 331:349 (6%)	view
12	x 2	src/fmeval/eval_algorithms src/fmeval/eval_algorithms	general_semantic_robustness.py summarization_accuracy_semantic_robus...	8:26 (5%) 12:30 (6%)	view
11	x 2	src/fmeval/eval_algorithms src/fmeval/eval_algorithms	classification_accuracy.py classification_accuracy_semantic_robu...	254:264 (4%) 234:244 (7%)	view
11	x 2	src/fmeval/eval_algorithms src/fmeval/eval_algorithms	factual_knowledge.py qa_accuracy.py	298:308 (8%) 396:406 (5%)	view
10	x 2	src/fmeval/eval_algorithms src/fmeval/eval_algorithms	qa_accuracy.py summarization_accuracy.py	345:374 (5%) 181:210 (7%)	view
10	x 2	src/fmeval/eval_algorithms src/fmeval/eval_algorithms	qa_accuracy.py summarization_accuracy.py	399:408 (5%) 235:245 (7%)	view
10	x 2	src/fmeval/eval_algorithms src/fmeval/eval_algorithms	general_semantic_robustness.py qa_accuracy_semantic_robustness.py	337:347 (4%) 311:320 (4%)	view
10	x 2	src/fmeval/eval_algorithms src/fmeval/eval_algorithms	general_semantic_robustness.py summarization_accuracy_semantic_robus...	337:347 (4%) 283:293 (5%)	view
9	x 2	src/fmeval/eval_algorithms src/fmeval/eval_algorithms	classification_accuracy.py toxicity.py	220:228 (4%) 143:151 (8%)	view
9	x 2	src/fmeval/eval_algorithms src/fmeval/eval_algorithms	prompt_stereotyping.py qa_accuracy.py	141:149 (6%) 345:353 (4%)	view
9	x 2	src/fmeval/eval_algorithms src/fmeval/eval_algorithms	classification_accuracy_semantic_robu... qa_accuracy_semantic_robustness.py	194:202 (5%) 265:273 (4%)	view
9	x 2	src/fmeval/eval_algorithms src/fmeval/eval_algorithms	classification_accuracy.py classification_accuracy_semantic_robu...	223:250 (4%) 197:227 (5%)	view
9	x 2	src/fmeval/eval_algorithms src/fmeval/eval_algorithms	classification_accuracy.py summarization_accuracy.py	220:228 (4%) 181:189 (6%)	view
9	x 2	src/fmeval/eval_algorithms src/fmeval/eval_algorithms	classification_accuracy_semantic_robu... prompt_stereotyping.py	197:227 (5%) 144:169 (6%)	view
9	x 2	src/fmeval/eval_algorithms src/fmeval/eval_algorithms	classification_accuracy_semantic_robu... summarization_accuracy_semantic_robus...	194:202 (5%) 236:244 (5%)	view
9	x 2	src/fmeval/eval_algorithms src/fmeval/eval_algorithms	prompt_stereotyping.py summarization_accuracy.py	141:149 (6%) 181:189 (6%)	view
9	x 2	src/fmeval/eval_algorithms src/fmeval/eval_algorithms	classification_accuracy_semantic_robu... general_semantic_robustness.py	194:202 (5%) 290:298 (4%)	view
9	x 2	src/fmeval/eval_algorithms src/fmeval/eval_algorithms	eval_algorithm.py prompt_stereotyping.py	47:55 (45%) 141:149 (6%)	view
9	x 2	src/fmeval/eval_algorithms src/fmeval/eval_algorithms	eval_algorithm.py summarization_accuracy.py	47:55 (45%) 181:189 (6%)	view
9	x 2	src/fmeval/eval_algorithms src/fmeval/eval_algorithms	classification_accuracy.py qa_accuracy.py	220:228 (4%) 345:353 (4%)	view
9	x 2	src/fmeval/eval_algorithms src/fmeval/eval_algorithms	prompt_stereotyping.py toxicity.py	141:149 (6%) 143:151 (8%)	view
9	x 2	src/fmeval/eval_algorithms src/fmeval/eval_algorithms	summarization_accuracy.py toxicity.py	181:189 (6%) 143:151 (8%)	view
9	x 2	src/fmeval/eval_algorithms src/fmeval/eval_algorithms	eval_algorithm.py toxicity.py	47:55 (45%) 143:151 (8%)	view
9	x 2	src/fmeval/eval_algorithms src/fmeval/eval_algorithms	eval_algorithm.py qa_accuracy.py	47:55 (45%) 345:353 (4%)	view
9	x 2	src/fmeval/eval_algorithms src/fmeval/eval_algorithms	qa_accuracy.py toxicity.py	345:353 (4%) 143:151 (8%)	view
9	x 2	src/fmeval/eval_algorithms src/fmeval/eval_algorithms	classification_accuracy.py eval_algorithm.py	220:228 (4%) 47:55 (45%)	view
8	x 2	src/fmeval/eval_algorithms src/fmeval/eval_algorithms	factual_knowledge.py toxicity.py	301:308 (6%) 190:197 (7%)	view
8	x 2	src/fmeval/eval_algorithms src/fmeval/eval_algorithms	qa_accuracy.py qa_accuracy_semantic_robustness.py	264:271 (4%) 94:101 (3%)	view
8	x 2	src/fmeval/eval_algorithms src/fmeval/eval_algorithms	qa_accuracy.py toxicity.py	399:406 (4%) 190:197 (7%)	view
8	x 2	src/fmeval/eval_algorithms src/fmeval/eval_algorithms	factual_knowledge.py qa_accuracy.py	136:152 (6%) 213:233 (4%)	view
8	x 2	src/fmeval/eval_algorithms src/fmeval/eval_algorithms	factual_knowledge.py qa_accuracy.py	109:116 (6%) 204:211 (4%)	view
8	x 2	src/fmeval/eval_algorithms src/fmeval/eval_algorithms	factual_knowledge.py summarization_accuracy.py	301:308 (6%) 235:242 (5%)	view
8	x 2	src/fmeval/eval_algorithms src/fmeval/eval_algorithms	summarization_accuracy.py toxicity.py	235:242 (5%) 190:197 (7%)	view
7	x 2	src/fmeval/eval_algorithms src/fmeval/eval_algorithms	qa_accuracy.py qa_accuracy_semantic_robustness.py	348:374 (3%) 268:295 (3%)	view
7	x 2	src/fmeval/eval_algorithms src/fmeval/eval_algorithms	qa_accuracy_semantic_robustness.py summarization_accuracy.py	268:295 (3%) 184:210 (5%)	view
7	x 2	src/fmeval/eval_algorithms src/fmeval/eval_algorithms	qa_accuracy.py summarization_accuracy_semantic_robus...	402:408 (3%) 286:293 (3%)	view
7	x 2	src/fmeval/eval_algorithms src/fmeval/eval_algorithms	qa_accuracy.py summarization_accuracy_semantic_robus...	348:374 (3%) 239:267 (3%)	view
7	x 2	src/fmeval/transforms src/fmeval/transforms	summarization_accuracy_metrics.py summarization_accuracy_metrics.py	143:149 (4%) 281:287 (4%)	view
7	x 2	src/fmeval/eval_algorithms src/fmeval/eval_algorithms	general_semantic_robustness.py summarization_accuracy.py	340:347 (3%) 238:245 (5%)	view
7	x 2	src/fmeval/transforms src/fmeval/transforms	summarization_accuracy_metrics.py summarization_accuracy_metrics.py	225:247 (4%) 289:311 (4%)	view
7	x 2	src/fmeval/eval_algorithms src/fmeval/eval_algorithms	summarization_accuracy.py summarization_accuracy_semantic_robus...	238:245 (5%) 286:293 (3%)	view