






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					):




       @slow
       def 						__snake_case					(   self     :   Optional[int]	):
           lowerCAmelCase__      			=						TFCamembertModel.from_pretrained('''jplu/tf-camembert-base'''	)

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

           lowerCAmelCase__      			=						model(SCREAMING_SNAKE_CASE_	)['''last_hidden_state''']
           lowerCAmelCase__      			=						tf.TensorShape((1, 10, 768)	)
           self.assertEqual(output.shape ,							SCREAMING_SNAKE_CASE_	)
           # compare the actual values for a slice.
           lowerCAmelCase__      			=						tf.convert_to_tensor(
               [[[-0.0_254, 0.0_235, 0.1_027], [0.0_606, -0.1_811, -0.0_418], [-0.1_561, -0.1_127, 0.2_687]]] ,							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 pathlib import Path

import fire





def 	lowerCAmelCase_		(lowercase__						:       str     ,					lowercase__						:       str     ,					lowercase__						:       int       )		->    Dict:


				'''simple docstring'''




				lowerCAmelCase__      			=						Path(lowercase__       )
				lowerCAmelCase__      			=						Path(lowercase__       )
				dest_dir.mkdir(exist_ok=lowercase__       )
				for path in src_dir.iterdir():
								lowerCAmelCase__      			=						[x.rstrip() for x in list(path.open().readlines()       )][:n]
								lowerCAmelCase__      			=						dest_dir.joinpath(path.name       )
								print(lowercase__       )
								dest_path.open('''w'''       ).write('''\n'''.join(lowercase__       )       )


if __name__ == "__main__":
			fire.Fire(minify)





