
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 __snake_case						( unittest.TestCase	):
    @slow
    def  _SCREAMING_SNAKE_CASE			(    self ):



           '''simple docstring'''







           lowercase				:	Optional[Any]			      = TFXLMRobertaModel.from_pretrained("""jplu/tf-xlm-roberta-base""" )

           lowercase				:	List[Any]			      = {
               'input_ids': tf.convert_to_tensor([[0, 2646, 10269, 83, 99942, 2]]						,dtype=tf.intaa ),  # "My dog is cute"
               'attention_mask': tf.convert_to_tensor([[1, 1, 1, 1, 1, 1]]						,dtype=tf.intaa ),
           }

           lowercase				:	Optional[Any]			      = model(_a )['last_hidden_state']
           lowercase				:	List[str]			      = tf.TensorShape((1, 6, 768) )
           self.assertEqual(output.shape						,_a )
           # compare the actual values for a slice.
           lowercase				:	Tuple			      = tf.convert_to_tensor(
               [
                   [
                       [0.0_681_762, 0.10_894_451, 0.06_772_504],
                       [-0.06_423_668, 0.02_366_615, 0.04_329_344],
                       [-0.06_057_295, 0.09_974_135, -0.00_070_584],
                   ]
               ]						,dtype=tf.floataa						,)

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





'''simple docstring'''





import string

def 			a_	(				_lowerCAmelCase			) -> str:
  __lowerCamelCase			:			Union[str, Any]       			=					''
  for i in sequence:
    __lowerCamelCase			:			Tuple       			=					ord(_lowerCAmelCase			)
    if 65 <= extract <= 90:
      output += chr(155 - extract			)
    elif 97 <= extract <= 122:
      output += chr(219 - extract			)
    else:
      output += i
  return output

def 			a_	(				_lowerCAmelCase			) -> str:
  __lowerCamelCase			:			Optional[Any]       			=					string.ascii_letters
  __lowerCamelCase			:			str       			=					string.ascii_lowercase[::-1] + string.ascii_uppercase[::-1]
  return "".join(
      letters_reversed[letters.index(_lowerCAmelCase			)] if c in letters else c for c in sequence			)

def 			a_	(				) -> None:
  from timeit import timeit

  print('Running performance benchmarks...'			)
  __lowerCamelCase			:			Tuple       			=					'from string import printable ; from __main__ import atbash, atbash_slow'
  print(F'> atbash_slow(): {timeit("atbash_slow(printable)"			,setup=_lowerCAmelCase			)} seconds'			)
  print(F'>      atbash(): {timeit("atbash(printable)"			,setup=_lowerCAmelCase			)} seconds'			)


if __name__ == "__main__":
   for example in ("ABCDEFGH", "123GGjj", "testStringtest", "with space"):
      print(f'''{example} encrypted in atbash: {atbash(example)}''')
   benchmark()






