

'''simple docstring'''



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 						lowerCAmelCase__   (      unittest.TestCase					):



 """simple docstring"""



 @slow
 def       UpperCAmelCase__		(		self					:       Tuple			)  -> Tuple:


      """simple docstring"""




      __SCREAMING_SNAKE_CASE     =      FlaxMTaForConditionalGeneration.from_pretrained("""google/mt5-small"""			)
      __SCREAMING_SNAKE_CASE     =      AutoTokenizer.from_pretrained("""google/mt5-small"""			)

      __SCREAMING_SNAKE_CASE     =      tokenizer("""Hello there"""					,							return_tensors="""np"""			).input_ids
      __SCREAMING_SNAKE_CASE     =      tokenizer("""Hi I am"""					,							return_tensors="""np"""			).input_ids

      __SCREAMING_SNAKE_CASE     =      shift_tokens_right(__SCREAMING_SNAKE_CASE					,							model.config.pad_token_id					,							model.config.decoder_start_token_id			)

      __SCREAMING_SNAKE_CASE     =      model(__SCREAMING_SNAKE_CASE					,							decoder_input_ids=__SCREAMING_SNAKE_CASE			).logits
      __SCREAMING_SNAKE_CASE     =      optax.softmax_cross_entropy(__SCREAMING_SNAKE_CASE					,							onehot(__SCREAMING_SNAKE_CASE					,							logits.shape[-1]			)			).mean()

      __SCREAMING_SNAKE_CASE     =      -(labels.shape[-1] * loss.item())

      __SCREAMING_SNAKE_CASE     =      -84.9127
      self.assertTrue(abs(mtf_score - EXPECTED_SCORE			) < 1E-4			)









'''simple docstring'''



class 						lowerCAmelCase__   :



 """simple docstring"""



 def __init__(		self					:       List[Any]					,							__SCREAMING_SNAKE_CASE					:       int					,							__SCREAMING_SNAKE_CASE					:       Union[str, Any]					,							__SCREAMING_SNAKE_CASE					:       Any			)  -> Tuple:


      """simple docstring"""




      __SCREAMING_SNAKE_CASE     =      name
      __SCREAMING_SNAKE_CASE     =      value
      __SCREAMING_SNAKE_CASE     =      weight
 def __repr__(		self					:       str			)  -> Union[str, Any]:


      """simple docstring"""




      return f'{self.__class__.__name__}({self.name}, {self.value}, {self.weight})'
 def       UpperCAmelCase__		(		self					:       List[Any]			)  -> List[Any]:


      """simple docstring"""




      return self.value
 def       UpperCAmelCase__		(		self					:       Any			)  -> str:


      """simple docstring"""




      return self.name
 def       UpperCAmelCase__		(		self					:       Union[str, Any]			)  -> Union[str, Any]:


      """simple docstring"""




      return self.weight


 def       UpperCAmelCase__		(		self					:       int			)  -> Tuple:


      """simple docstring"""




      return self.value / self.weight







def    a__       (  a__      ,    a__      ,    a__						):




     """simple docstring"""


     __SCREAMING_SNAKE_CASE     =      []
     for i in range(len(a__						)						):
          menu.append(Things(name[i]      ,    value[i]      ,    weight[i]						)						)
     return menu







def    a__       (  a__      ,    a__      ,    a__						):




     """simple docstring"""


     __SCREAMING_SNAKE_CASE     =      sorted(a__      ,    key=a__      ,    reverse=a__						)
     __SCREAMING_SNAKE_CASE     =      []
     __SCREAMING_SNAKE_CASE   ,			__SCREAMING_SNAKE_CASE     =      0.0, 0.0
     for i in range(len(a__						)						):
          if (total_cost + items_copy[i].get_weight()) <= max_cost:
               result.append(items_copy[i]						)
               total_cost += items_copy[i].get_weight()
               total_value += items_copy[i].get_value()
     return (result, total_value)







def    a__       (  ):




     """simple docstring"""




if __name__ == "__main__":
  import doctest

  doctest.testmod()






