
import random




class    SCREAMING_SNAKE_CASE__     :





	'''simple docstring'''



	@staticmethod
	def  A							(  lowercase	:    str	):


				'''simple docstring'''


				_snake_case		=			[ord(lowercase	) for i in text]
				_snake_case		=			[]
				_snake_case		=			[]
				for i in plain:
							_snake_case		=			random.randint(1			,  300	)
							_snake_case		=			(i + k) * k
							cipher.append(lowercase	)
							key.append(lowercase	)
				return cipher, key





	@staticmethod
	def  A							(  lowercase	:    list[int]			,  lowercase	:    list[int]	):


				'''simple docstring'''


				_snake_case		=			[]
				for i in range(len(lowercase	)	):
							_snake_case		=			int((cipher[i] - (key[i]) ** 2) / key[i]	)
							plain.append(chr(lowercase	)	)
				return "".join(lowercase	)


if __name__ == "__main__":
			_lowerCamelCase    ,     _lowerCamelCase       :				Union[str, Any]       =			Onepad().encrypt('''Hello''')
			print(c, k)
			print(Onepad().decrypt(c, k))

import unittest

from transformers import AutoTokenizer, is_flax_available
from transformers.testing_utils import require_flax, require_sentencepiece, require_tokenizers, slow


if is_flax_available():
			import jax.numpy as jnp

			from transformers import FlaxXLMRobertaModel




@require_sentencepiece
@require_tokenizers
@require_flax
class    SCREAMING_SNAKE_CASE__     (	unittest.TestCase					):





	'''simple docstring'''



	@slow
	def  A							(  self	:    int	):


				'''simple docstring'''


				_snake_case		=			FlaxXLMRobertaModel.from_pretrained('xlm-roberta-base'	)
				_snake_case		=			AutoTokenizer.from_pretrained('xlm-roberta-base'	)
				_snake_case		=			'The dog is cute and lives in the garden house'
				_snake_case		=			jnp.array([tokenizer.encode(lowercase	)]	)

				_snake_case		=			(1, 12, 768)  # batch_size, sequence_length, embedding_vector_dim
				_snake_case		=			jnp.array(
				    [[-0.0101, 0.1218, -0.0803, 0.0801, 0.1327, 0.0776, -0.1215, 0.2383, 0.3338, 0.3106, 0.0300, 0.0252]]	)

				_snake_case		=			model(lowercase	)['last_hidden_state']
				self.assertEqual(output.shape			,  lowercase	)
				# compare the actual values for a slice of last dim
				self.assertTrue(jnp.allclose(output[:, :, -1]			,  lowercase			,  atol=1E-3	)	)