'''simple docstring'''





import os
from collections.abc import Iterator





def      lowerCAmelCase_    ( snake_case_	:			str = "."      )   ->				Iterator[str]:


     '''simple docstring'''




     for dir_path, dir_names, filenames in os.walk(snake_case_      ):
          UpperCAmelCase_	   =       [d for d in dir_names if d != "scripts" and d[0] not in "._"]
          for filename in filenames:
               if filename == "__init__.py":
                    continue
               if os.path.splitext(snake_case_      )[1] in (".py", ".ipynb"):
                    yield os.path.join(snake_case_ ,   snake_case_      ).lstrip("./"      )





def      lowerCAmelCase_    ( snake_case_	:			Tuple      )   ->				List[Any]:


     '''simple docstring'''




     return f"""{i * "  "}*""" if i else "\n##"





def      lowerCAmelCase_    ( snake_case_	:			str ,   snake_case_	:			str      )   ->				str:


     '''simple docstring'''




     UpperCAmelCase_	   =       old_path.split(os.sep      )
     for i, new_part in enumerate(new_path.split(os.sep      )      ):
          if (i + 1 > len(snake_case_      ) or old_parts[i] != new_part) and new_part:
               print(f"""{md_prefix(snake_case_      )} {new_part.replace("_" ,   " "      ).title()}"""      )
     return new_path





def      lowerCAmelCase_    ( snake_case_	:			str = "."      )   ->				None:


     '''simple docstring'''




     UpperCAmelCase_	   =       ""
     for filepath in sorted(good_file_paths(snake_case_      )      ):
          UpperCAmelCase_   ,			UpperCAmelCase_	   =       os.path.split(snake_case_      )
          if filepath != old_path:
               UpperCAmelCase_	   =       print_path(snake_case_ ,   snake_case_      )
          UpperCAmelCase_	   =       (filepath.count(os.sep      ) + 1) if filepath else 0
          UpperCAmelCase_	   =       f"""{filepath}/{filename}""".replace(" " ,   "%20"      )
          UpperCAmelCase_	   =       os.path.splitext(filename.replace("_" ,   " "      ).title()      )[0]
          print(f"""{md_prefix(snake_case_      )} [{filename}]({url})"""      )


if __name__ == "__main__":
    print_directory_md('.')





'''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 numpy as np
    import tensorflow as tf

    from transformers import TFCamembertModel




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



    @slow
    def  _lowercase						(self   :   Dict			):
         UpperCAmelCase_	   =       TFCamembertModel.from_pretrained("jplu/tf-camembert-base"			)

         UpperCAmelCase_	   =       tf.convert_to_tensor(
             [[5, 121, 11, 660, 16, 730, 25543, 110, 83, 6]]       ,      dtype=tf.intaa       ,      )  # J'aime le camembert !"

         UpperCAmelCase_	   =       model(__a			)["last_hidden_state"]
         UpperCAmelCase_	   =       tf.TensorShape((1, 10, 768)			)
         self.assertEqual(output.shape       ,      __a			)
         # compare the actual values for a slice.
         UpperCAmelCase_	   =       tf.convert_to_tensor(
             [[[-0.02_54, 0.02_35, 0.10_27], [0.06_06, -0.18_11, -0.04_18], [-0.15_61, -0.11_27, 0.26_87]]]       ,      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			)			)




