



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     _a   (self     ):






           '''simple docstring'''



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

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

           lowerCamelCase             =		shift_tokens_right(__a					,      model.config.pad_token_id					,      model.config.decoder_start_token_id     )

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

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

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




from __future__ import annotations

from math import pow, sqrt

def      __lowercase(						UpperCAmelCase__ , UpperCAmelCase__ , UpperCAmelCase__			):


      """simple docstring"""



      if (resistance, reactance, impedance).count(0			) != 1:
            raise ValueError("One and only one argument must be 0"			)
      if resistance == 0:
            return {"resistance": sqrt(pow(UpperCAmelCase__ , 2			) - pow(UpperCAmelCase__ , 2			)			)}
      elif reactance == 0:
            return {"reactance": sqrt(pow(UpperCAmelCase__ , 2			) - pow(UpperCAmelCase__ , 2			)			)}
      elif impedance == 0:
            return {"impedance": sqrt(pow(UpperCAmelCase__ , 2			) + pow(UpperCAmelCase__ , 2			)			)}
      else:
            raise ValueError("Exactly one argument must be 0"			)


if __name__ == "__main__":
     import doctest

     doctest.testmod()