
_lowerCamelCase					   =[0, 2, 4, 6, 8]
_lowerCamelCase					   =[1, 3, 5, 7, 9]





def     _a					(						lowerCamelCase,	lowerCamelCase,	lowerCamelCase,	lowerCamelCase							):
 if remaining_length == 0:
  if digits[0] == 0 or digits[-1] == 0:
   return 0

  for i in range(length // 2 - 1,	-1,	-1							):
   remainder += digits[i] + digits[length - i - 1]

   if remainder % 2 == 0:
    return 0

   remainder //= 10

  return 1

 if remaining_length == 1:
  if remainder % 2 == 0:
   return 0

  lowerCamelCase		:	List[Any]							=      0
  for digit in range(10							):
   lowerCamelCase		:	Union[str, Any]							=      digit
   result += reversible_numbers(
       0,	(remainder + 2 * digit) // 10,	lowerCamelCase,	lowerCamelCase							)
  return result

 lowerCamelCase		:	Tuple							=      0
 for digita in range(10							):
  lowerCamelCase		:	Optional[int]							=      digita

  if (remainder + digita) % 2 == 0:
   lowerCamelCase		:	str							=      ODD_DIGITS
  else:
   lowerCamelCase		:	Optional[int]							=      EVEN_DIGITS

  for digita in other_parity_digits:
   lowerCamelCase		:	List[Any]							=      digita
   result += reversible_numbers(
       remaining_length - 2,	(remainder + digita + digita) // 10,	lowerCamelCase,	lowerCamelCase,	)
 return result





def     _a					(						lowerCamelCase = 9							):
 lowerCamelCase		:	List[str]							=      0
 for length in range(1,	max_power + 1							):
  result += reversible_numbers(lowerCamelCase,	0,	[0] * length,	lowerCamelCase							)
 return result


if __name__ == "__main__":
      print(f'''{solution() = }''')






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 						UpperCamelCase__							(      self      ):
       lowerCamelCase		:	Union[str, Any]							=      TFCamembertModel.from_pretrained("""jplu/tf-camembert-base"""      )

       lowerCamelCase		:	Any							=      tf.convert_to_tensor(
           [[5, 1_2_1, 1_1, 6_6_0, 1_6, 7_3_0, 2_5_5_4_3, 1_1_0, 8_3, 6]]    ,  dtype=tf.intaa    ,  )  # J'aime le camembert !"

       lowerCamelCase		:	str							=      model(__magic_name__      )["""last_hidden_state"""]
       lowerCamelCase		:	Union[str, Any]							=      tf.TensorShape((1, 1_0, 7_6_8)      )
       self.assertEqual(output.shape    ,  __magic_name__      )
       # compare the actual values for a slice.
       lowerCamelCase		:	Dict							=      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      )      )




