




def      __lowerCAmelCase			(					UpperCamelCase      )     ->	str:
  lowerCAmelCase__				:  Any		       =     0

  # if input_string is "aba" than new_input_string become "a|b|a"
  lowerCAmelCase__				:  Any		       =     ''''''
  lowerCAmelCase__				:  Optional[int]		       =     ''''''

  # append each character + "|" in new_string for range(0, length-1)
  for i in input_string[: len(UpperCamelCase      ) - 1]:
    new_input_string += i + "|"
  # append last character
  new_input_string += input_string[-1]

  # we will store the starting and ending of previous furthest ending palindromic
  # substring
  lowerCAmelCase__       ,			lowerCAmelCase__				:  str		       =     0, 0

  # length[i] shows the length of palindromic substring with center i
  lowerCAmelCase__				:  Dict		       =     [1 for i in range(len(UpperCamelCase      )      )]

  # for each character in new_string find corresponding palindromic string
  lowerCAmelCase__				:  int		       =     0
  for j in range(len(UpperCamelCase      )      ):
    lowerCAmelCase__				:  Union[str, Any]		       =     1 if j > r else min(length[l + r - j] // 2	,      r - j + 1      )
    while (
        j - k >= 0
        and j + k < len(UpperCamelCase      )
        and new_input_string[k + j] == new_input_string[j - k]
    ):
      k += 1

    lowerCAmelCase__				:  Tuple		       =     2 * k - 1

    # does this string is ending after the previously explored end (that is r) ?
    # if yes the update the new r to the last index of this
    if j + k - 1 > r:
      lowerCAmelCase__				:  Optional[Any]		       =     j - k + 1  # noqa: E741
      lowerCAmelCase__				:  Any		       =     j + k - 1

    # update max_length and start position
    if max_length < length[j]:
      lowerCAmelCase__				:  Tuple		       =     length[j]
      lowerCAmelCase__				:  Optional[int]		       =     j

    # create that string
  lowerCAmelCase__				:  List[Any]		       =     new_input_string[start - max_length // 2 : start + max_length // 2 + 1]
  for i in s:
    if i != "|":
      output_string += i

  return output_string


if __name__ == "__main__":
     import doctest

     doctest.testmod()







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 	__magic_name__(   self		):
        lowerCAmelCase__				:  Optional[Any]		       =     TFCamembertModel.from_pretrained('''jplu/tf-camembert-base'''		)

        lowerCAmelCase__				:  List[str]		       =     tf.convert_to_tensor(
            [[5, 121, 11, 660, 16, 730, 2_5543, 110, 83, 6]]      ,				dtype=tf.intaa      ,				)  # J'aime le camembert !"

        lowerCAmelCase__				:  str		       =     model(__UpperCAmelCase		)['''last_hidden_state''']
        lowerCAmelCase__				:  List[Any]		       =     tf.TensorShape((1, 10, 768)		)
        self.assertEqual(output.shape      ,				__UpperCAmelCase		)
        # compare the actual values for a slice.
        lowerCAmelCase__				:  int		       =     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		)		)

