





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 		UpperCamelCase__ (      unittest.TestCase   ):



     '''simple docstring'''

     @slow
     def 				SCREAMING_SNAKE_CASE__  (							self						:    Tuple       )     ->		List[str]:




           '''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(lowerCamelCase__						,model.config.pad_token_id						,model.config.decoder_start_token_id       )

           SCREAMING_SNAKE_CASE		=						model(lowerCamelCase__						,decoder_input_ids=lowerCamelCase__       ).logits
           SCREAMING_SNAKE_CASE		=						optax.softmax_cross_entropy(lowerCamelCase__						,onehot(lowerCamelCase__						,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       )









import os
from distutils.util import strtobool



def    __lowercase   (      _SCREAMING_SNAKE_CASE ,						_SCREAMING_SNAKE_CASE	) ->   Tuple:


      '''simple docstring'''


      for e in env_keys:
            SCREAMING_SNAKE_CASE		=						int(os.environ.get(_SCREAMING_SNAKE_CASE ,						-1	)	)
            if val >= 0:
                  return val
      return default



def    __lowercase   (      _SCREAMING_SNAKE_CASE ,						_SCREAMING_SNAKE_CASE=False	) ->   Optional[int]:


      '''simple docstring'''


      SCREAMING_SNAKE_CASE		=						os.environ.get(_SCREAMING_SNAKE_CASE ,						str(_SCREAMING_SNAKE_CASE	)	)
      return strtobool(_SCREAMING_SNAKE_CASE	) == 1  # As its name indicates `strtobool` actually returns an int...



def    __lowercase   (      _SCREAMING_SNAKE_CASE ,						_SCREAMING_SNAKE_CASE="no"	) ->   Any:


      '''simple docstring'''


      SCREAMING_SNAKE_CASE		=						os.environ.get(_SCREAMING_SNAKE_CASE ,						str(_SCREAMING_SNAKE_CASE	)	)
      return value


