



def  __lowerCamelCase (       lowerCamelCase__					,			lowerCamelCase__					,			lowerCamelCase__=False						):

				"""simple docstring"""


				if isinstance(_lowercase					,			_lowercase						) and isinstance(_lowercase					,			_lowercase						):
								lowercase__					:   Any													=					len(set_a.intersection(_lowercase						)						)

								if alternative_union:
												lowercase__					:   str													=					len(_lowercase						) + len(_lowercase						)
								else:
												lowercase__					:   Optional[Any]													=					len(set_a.union(_lowercase						)						)

								return intersection / union

				if isinstance(_lowercase					,			(list, tuple)						) and isinstance(_lowercase					,			(list, tuple)						):
								lowercase__					:   Union[str, Any]													=					[element for element in set_a if element in set_b]

								if alternative_union:
												lowercase__					:   List[Any]													=					len(_lowercase						) + len(_lowercase						)
												return len(_lowercase						) / union
								else:
												lowercase__					:   int													=					set_a + [element for element in set_b if element not in set_a]
												return len(_lowercase						) / len(_lowercase						)

								return len(_lowercase						) / len(_lowercase						)
				return None


if __name__ == "__main__":
				lowerCAmelCase__					  =  {'''a''', '''b''', '''c''', '''d''', '''e'''}
				lowerCAmelCase__					  =  {'''c''', '''d''', '''e''', '''f''', '''h''', '''i'''}
				print(jaccard_similarity(set_a, set_b))









import unittest

from transformers import is_flax_available
from transformers.testing_utils import require_flax, require_sentencepiece, require_tokenizers, require_torch, slow


if is_flax_available():
				import optax
				from flax.training.common_utils import onehot

				from transformers import AutoTokenizer, FlaxMTaForConditionalGeneration
				from transformers.models.ta.modeling_flax_ta import shift_tokens_right

@require_torch
@require_sentencepiece
@require_tokenizers
@require_flax
class 				snake_case__(unittest.TestCase      ):

					"""simple docstring"""






					@slow
					def 			snake_case					(							self :     Optional[int]					):
									lowercase__					:   Dict													=					FlaxMTaForConditionalGeneration.from_pretrained("google/mt5-small"					)
									lowercase__					:   Dict													=					AutoTokenizer.from_pretrained("google/mt5-small"					)

									lowercase__					:   Optional[Any]													=					tokenizer("Hello there"				,       return_tensors="np"					).input_ids
									lowercase__					:   Optional[Any]													=					tokenizer("Hi I am"				,       return_tensors="np"					).input_ids

									lowercase__					:   int													=					shift_tokens_right(SCREAMING_SNAKE_CASE				,       model.config.pad_token_id				,       model.config.decoder_start_token_id					)

									lowercase__					:   Tuple													=					model(SCREAMING_SNAKE_CASE				,       decoder_input_ids=SCREAMING_SNAKE_CASE					).logits
									lowercase__					:   Dict													=					optax.softmax_cross_entropy(SCREAMING_SNAKE_CASE				,       onehot(SCREAMING_SNAKE_CASE				,       logits.shape[-1]					)					).mean()

									lowercase__					:   Union[str, Any]													=					-(labels.shape[-1] * loss.item())

									lowercase__					:   Union[str, Any]													=					-84.9_127
									self.assertTrue(abs(mtf_score - EXPECTED_SCORE					) < 1E-4					)




