




'''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 		lowercase_   (			unittest.TestCase       ):


   """simple docstring"""

   @slow
   def 							lowerCAmelCase_      (   self :     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	=				-8_4.9_1_2_7
      self.assertTrue(abs(mtf_score - EXPECTED_SCORE   ) < 1e-4   )







'''simple docstring'''



from __future__ import annotations
def 			SCREAMING_SNAKE_CASE_			(							__A    :			float	,					__A    :			float	,					__A    :			float	,					)			->			tuple:
   if (electron_conc, hole_conc, intrinsic_conc).count(0  ) != 1:
      raise ValueError("You cannot supply more or less than 2 values"  )
   elif electron_conc < 0:
      raise ValueError("Electron concentration cannot be negative in a semiconductor"  )
   elif hole_conc < 0:
      raise ValueError("Hole concentration cannot be negative in a semiconductor"  )
   elif intrinsic_conc < 0:
      raise ValueError(
          "Intrinsic concentration cannot be negative in a semiconductor"  )
   elif electron_conc == 0:
      return (
          "electron_conc",
          intrinsic_conc**2 / hole_conc,
      )
   elif hole_conc == 0:
      return (
          "hole_conc",
          intrinsic_conc**2 / electron_conc,
      )
   elif intrinsic_conc == 0:
      return (
          "intrinsic_conc",
          (electron_conc * hole_conc) ** 0.5,
      )
   else:
      return (-1, -1)


if __name__ == "__main__":
 import doctest

 doctest.testmod()

