






"""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 TFXLMRobertaModel






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


		@slow
		def 						_UpperCamelCase       (			self      :						str							):
								'''simple docstring'''





								A__						:  List[str]		  =  TFXLMRobertaModel.from_pretrained("""jplu/tf-xlm-roberta-base"""							)

								A__						:  Tuple		  =  {
								    """input_ids""": tf.convert_to_tensor([[0, 2646, 1_0269, 83, 9_9942, 2]]			,    dtype=tf.intaa							),  # "My dog is cute"
								    """attention_mask""": tf.convert_to_tensor([[1, 1, 1, 1, 1, 1]]			,    dtype=tf.intaa							),
								}

								A__						:  Any		  =  model(snake_case							)["""last_hidden_state"""]
								A__						:  Union[str, Any]		  =  tf.TensorShape((1, 6, 768)							)
								self.assertEqual(output.shape			,    snake_case							)
								# compare the actual values for a slice.
								A__						:  Optional[Any]		  =  tf.convert_to_tensor(
								    [
								        [
								            [0.0681762, 0.10894451, 0.06772504],
								            [-0.06423668, 0.02366615, 0.04329344],
								            [-0.06057295, 0.09974135, -0.00070584],
								        ]
								    ]			,    dtype=tf.floataa			,    )

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














"""simple docstring"""



def      _lowerCAmelCase		(							UpperCAmelCase__       :					int = 1_0_0_0      )		->int:
						A__						:  Optional[int]		  =  2**power
						A__						:  Dict		  =  0
						while n:
												A__  ,  A__						:  Tuple		  =  r + n % 1_0, n // 1_0
						return r


if __name__ == "__main__":
						print(solution(int(str(input()).strip())))






