





"""simple docstring"""





from __future__ import annotations


def       a__					(					_SCREAMING_SNAKE_CASE  ,	_SCREAMING_SNAKE_CASE  ,	_SCREAMING_SNAKE_CASE    ):




		"""simple docstring"""


		UpperCamelCase   =	list(range(len(_SCREAMING_SNAKE_CASE    )    )    )
		UpperCamelCase   =	[v / w for v, w in zip(_SCREAMING_SNAKE_CASE  ,	_SCREAMING_SNAKE_CASE    )]
		index.sort(key=lambda _SCREAMING_SNAKE_CASE    : ratio[i]  ,	reverse=_SCREAMING_SNAKE_CASE    )

		UpperCamelCase   =	0
		UpperCamelCase   =	[0] * len(_SCREAMING_SNAKE_CASE    )
		for i in index:
				if weight[i] <= capacity:
						UpperCamelCase   =	1
						max_value += value[i]
						capacity -= weight[i]
				else:
						UpperCamelCase   =	capacity / weight[i]
						max_value += value[i] * capacity / weight[i]
						break

		return max_value, fractions


if __name__ == "__main__":
						import doctest

						doctest.testmod()













"""simple docstring"""





import unittest

from transformers import is_torch_available
from transformers.testing_utils import require_sentencepiece, require_tokenizers, require_torch, slow, torch_device


if is_torch_available():
						from transformers import AutoModelForSeqaSeqLM, AutoTokenizer





@require_torch
@require_sentencepiece
@require_tokenizers
class        _lowerCamelCase      (       unittest.TestCase ):


						@slow
						def     snake_case_   (self		) ->   List[str]:
								UpperCamelCase   =	AutoModelForSeqaSeqLM.from_pretrained("google/mt5-small"   ,							return_dict=__a		).to(__a		)
								UpperCamelCase   =	AutoTokenizer.from_pretrained("google/mt5-small"		)

								UpperCamelCase   =	tokenizer("Hello there"   ,							return_tensors="pt"		).input_ids
								UpperCamelCase   =	tokenizer("Hi I am"   ,							return_tensors="pt"		).input_ids

								UpperCamelCase   =	model(input_ids.to(__a		)   ,							labels=labels.to(__a		)		).loss
								UpperCamelCase   =	-(labels.shape[-1] * loss.item())

								UpperCamelCase   =	-84.9127
								self.assertTrue(abs(mtf_score - EXPECTED_SCORE		) < 1e-4		)






