




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 numpy as np
   import tensorflow as tf

   from transformers import TFCamembertModel





@require_tf
@require_sentencepiece
@require_tokenizers
class        lowerCamelCase_							(      unittest.TestCase					):


 '''simple docstring'''







 @slow
 def       lowerCAmelCase_  (							self  :		List[Any]						):
       SCREAMING_SNAKE_CASE_							=			TFCamembertModel.from_pretrained('jplu/tf-camembert-base'						)

       SCREAMING_SNAKE_CASE_							=			tf.convert_to_tensor(
           [[5, 121, 11, 660, 16, 730, 25_543, 110, 83, 6]]				,				dtype=tf.intaa				,				)  # J'aime le camembert !"

       SCREAMING_SNAKE_CASE_							=			model(lowerCAmelCase__						)['last_hidden_state']
       SCREAMING_SNAKE_CASE_							=			tf.TensorShape((1, 10, 768)						)
       self.assertEqual(output.shape				,				lowerCAmelCase__						)
       # compare the actual values for a slice.
       SCREAMING_SNAKE_CASE_							=			tf.convert_to_tensor(
           [[[-0.0254, 0.0235, 0.1027], [0.0606, -0.1811, -0.0418], [-0.1561, -0.1127, 0.2687]]]				,				dtype=tf.floataa				,				)
       # camembert = torch.hub.load('pytorch/fairseq', 'camembert.v0')
       # camembert.eval()
       # expected_slice = roberta.model.forward(input_ids)[0][:, :3, :3].detach()

       self.assertTrue(np.allclose(output[:, :3, :3].numpy()				,				expected_slice.numpy()				,				atol=1E-4						)						)



from __future__ import annotations




def    snake_case_     (  snake_case			,							snake_case     )  ->				bool:
       if len(snake_case     ) == 0:
              return False
       lowercase__:   Any  			=   len(snake_case     ) // 2
       if a_list[midpoint] == item:
              return True
       if item < a_list[midpoint]:
              return binary_search(a_list[:midpoint]			,							snake_case     )
       else:
              return binary_search(a_list[midpoint + 1 :]			,							snake_case     )


if __name__ == "__main__":
 __lowerCAmelCase		       =							input('''Enter numbers separated by comma:\n''').strip()
 __lowerCAmelCase		       =							[int(item.strip()) for item in user_input.split(''',''')]
 __lowerCAmelCase		       =							int(input('''Enter the number to be found in the list:\n''').strip())
 __lowerCAmelCase		       =							'''''' if binary_search(sequence, target) else '''not '''
 print(F'''{target} was {not_str}found in {sequence}''')


