






'''simple docstring'''



from __future__ import annotations

import unittest

from transformers import is_tf_available
from transformers.testing_utils import require_sentencepiece, require_tf, require_tokenizers, slow


if is_tf_available():
      import tensorflow as tf

      from transformers import AutoTokenizer, TFAutoModelForSeqaSeqLM
@require_tf
@require_sentencepiece
@require_tokenizers
class UpperCAmelCase_					(    unittest.TestCase				):




      """simple docstring"""




      @slow
      def 				A__      ( self			:		Dict		)  ->  Optional[int]:


       '''simple docstring'''

       lowercase					:   Dict				  =TFAutoModelForSeqaSeqLM.from_pretrained('''google/mt5-small'''		)
       lowercase					:   str				  =AutoTokenizer.from_pretrained('''google/mt5-small'''		)

       lowercase					:   List[Any]				  =tokenizer('''Hello there'''     ,      return_tensors='''tf'''		).input_ids
       lowercase					:   Union[str, Any]				  =tokenizer('''Hi I am'''     ,      return_tensors='''tf'''		).input_ids

       lowercase					:   List[str]				  =model(__a     ,      labels=__a		).loss
       lowercase					:   Optional[Any]				  =-tf.math.reduce_mean(__a		).numpy()

       lowercase					:   str				  =-2_1.2_2_8_1_6_8
       self.assertTrue(abs(mtf_score - EXPECTED_SCORE		) < 2e-4		)











'''simple docstring'''



from __future__ import annotations

SCREAMING_SNAKE_CASE						=	8.988E9  # units = N * m^s * C^-2


def 							lowercase_				(    __A :       float					,      __A :       float					,      __A :       float					,      __A :       float			)       ->      dict[str, float]:



 """simple docstring"""




 lowercase					:   Dict				  =abs(chargea * chargea			)

 if (force, chargea, chargea, distance).count(0			) != 1:
  raise ValueError('''One and only one argument must be 0'''			)
 if distance < 0:
  raise ValueError('''Distance cannot be negative'''			)
 if force == 0:
  lowercase					:   Union[str, Any]				  =COULOMBS_CONSTANT * charge_product / (distance**2)
  return {"force": force}
 elif chargea == 0:
  lowercase					:   int				  =abs(__A			) * (distance**2) / (COULOMBS_CONSTANT * chargea)
  return {"charge1": chargea}
 elif chargea == 0:
  lowercase					:   int				  =abs(__A			) * (distance**2) / (COULOMBS_CONSTANT * chargea)
  return {"charge2": chargea}
 elif distance == 0:
  lowercase					:   Tuple				  =(COULOMBS_CONSTANT * charge_product / abs(__A			)) ** 0.5
  return {"distance": distance}
 raise ValueError('''Exactly one argument must be 0'''			)


if __name__ == "__main__":
      import doctest

      doctest.testmod()



