

"""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 lowerCamelCase__   (				unittest.TestCase    ):



    '''simple docstring'''




    @slow
    def UpperCamelCase__		( self    )    ->      Dict:
          A				  =		TFXLMRobertaModel.from_pretrained("""jplu/tf-xlm-roberta-base"""    )

          A				  =		{
              """input_ids""": tf.convert_to_tensor([[0, 2_6_4_6, 1_0_2_6_9, 8_3, 9_9_9_4_2, 2]] ,dtype=tf.intaa    ),  # "My dog is cute"
              """attention_mask""": tf.convert_to_tensor([[1, 1, 1, 1, 1, 1]] ,dtype=tf.intaa    ),
          }

          A				  =		model(lowerCamelCase_    )["""last_hidden_state"""]
          A				  =		tf.TensorShape((1, 6, 7_6_8)    )
          self.assertEqual(output.shape ,lowerCamelCase_    )
          # compare the actual values for a slice.
          A				  =		tf.convert_to_tensor(
              [
                  [
                      [0.0_68_17_62, 0.10_89_44_51, 0.06_77_25_04],
                      [-0.06_42_36_68, 0.02_36_66_15, 0.04_32_93_44],
                      [-0.06_05_72_95, 0.09_97_41_35, -0.00_07_05_84],
                  ]
              ] ,dtype=tf.floataa ,)

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







"""simple docstring"""


import random





class lowerCamelCase__   :



    '''simple docstring'''




    @staticmethod
    def UpperCamelCase__		( lowerCamelCase_    )    ->      tuple[list[int], list[int]]:
          A				  =		[ord(lowerCamelCase_    ) for i in text]
          A				  =		[]
          A				  =		[]
          for i in plain:
                A				  =		random.randint(1 ,3_0_0    )
                A				  =		(i + k) * k
                cipher.append(lowerCamelCase_    )
                key.append(lowerCamelCase_    )
          return cipher, key




    @staticmethod
    def UpperCamelCase__		( lowerCamelCase_ ,lowerCamelCase_    )    ->      str:
          A				  =		[]
          for i in range(len(lowerCamelCase_    )    ):
                A				  =		int((cipher[i] - (key[i]) ** 2) / key[i]    )
                plain.append(chr(lowerCamelCase_    )    )
          return "".join(lowerCamelCase_    )


if __name__ == "__main__":
  UpperCAmelCase							,			UpperCAmelCase													=Onepad().encrypt("Hello")
  print(c, k)
  print(Onepad().decrypt(c, k))




