


import unittest

from datasets import load_dataset

from transformers import BloomTokenizerFast
from transformers.testing_utils import require_tokenizers

from ...test_tokenization_common import TokenizerTesterMixin
@require_tokenizers
class 			SCREAMING_SNAKE_CASE__  (    lowercase__						,   unittest.TestCase      ):
      snake_case__    :					List[Any]					       =						None
      snake_case__    :					int					       =						BloomTokenizerFast
      snake_case__    :					List[str]					       =						BloomTokenizerFast
      snake_case__    :					Tuple					       =						True
      snake_case__    :					str					       =						False
      snake_case__    :					Optional[int]					       =						'''tokenizer_file'''
      snake_case__    :					Union[str, Any]					       =						{'''bos_token''': '''<s>''', '''eos_token''': '''</s>''', '''unk_token''': '''<unk>''', '''pad_token''': '''<pad>'''}
      def 	SCREAMING_SNAKE_CASE							(	self    :	List[str]					)		->      Any:
             super().setUp()
             a_ :		Optional[Any]							=  BloomTokenizerFast.from_pretrained('bigscience/tokenizer'					)
             tokenizer.save_pretrained(self.tmpdirname					)
      def 	SCREAMING_SNAKE_CASE							(	self    :	str					,							**SCREAMING_SNAKE_CASE__    :	int					)		->      Tuple:
             kwargs.update(self.special_tokens_map					)
             return BloomTokenizerFast.from_pretrained(self.tmpdirname					,							**SCREAMING_SNAKE_CASE__					)
      def 	SCREAMING_SNAKE_CASE							(	self    :	int					)		->      Optional[Any]:
             a_ :		int							=  self.get_rust_tokenizer()

             a_ :		Tuple							=  ['The quick brown fox</s>', 'jumps over the lazy dog</s>']
             a_ :		Union[str, Any]							=  [[2_1_7_5, 2_3_7_1_4, 7_3_1_7_3, 1_4_4_2_5_2, 2], [7_7, 1_3_2_6_1_9, 3_4_7_8, 3_6_8, 1_0_9_5_8_6, 3_5_4_3_3, 2]]

             a_ :		Dict							=  tokenizer.batch_encode_plus(SCREAMING_SNAKE_CASE__					)['input_ids']
             self.assertListEqual(SCREAMING_SNAKE_CASE__					,							SCREAMING_SNAKE_CASE__					)

             a_ :		Optional[Any]							=  tokenizer.batch_decode(SCREAMING_SNAKE_CASE__					)
             self.assertListEqual(SCREAMING_SNAKE_CASE__					,							SCREAMING_SNAKE_CASE__					)
      def 	SCREAMING_SNAKE_CASE							(	self    :	int					,							SCREAMING_SNAKE_CASE__    :	Tuple=6					)		->      Optional[int]:
             for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
                    with self.subTest(F"""{tokenizer.__class__.__name__} ({pretrained_name})"""					):
                           a_ :		Optional[int]							=  self.rust_tokenizer_class.from_pretrained(SCREAMING_SNAKE_CASE__					,							**SCREAMING_SNAKE_CASE__					)
                           # tokenizer_r.pad_token = None # Hotfixing padding = None
                           # Simple input
                           a_ :		Optional[Any]							=  'This is a simple input'
                           a_ :		int							=  ['This is a simple input 1', 'This is a simple input 2']
                           a_ :		Any							=  ('This is a simple input', 'This is a pair')
                           a_ :		int							=  [
                               ('This is a simple input 1', 'This is a simple input 2'),
                               ('This is a simple pair 1', 'This is a simple pair 2'),
                           ]

                           # Simple input tests
                           try:
                                  tokenizer_r.encode(SCREAMING_SNAKE_CASE__					,							max_length=SCREAMING_SNAKE_CASE__					)
                                  tokenizer_r.encode_plus(SCREAMING_SNAKE_CASE__					,							max_length=SCREAMING_SNAKE_CASE__					)

                                  tokenizer_r.batch_encode_plus(SCREAMING_SNAKE_CASE__					,							max_length=SCREAMING_SNAKE_CASE__					)
                                  tokenizer_r.encode(SCREAMING_SNAKE_CASE__					,							max_length=SCREAMING_SNAKE_CASE__					)
                                  tokenizer_r.batch_encode_plus(SCREAMING_SNAKE_CASE__					,							max_length=SCREAMING_SNAKE_CASE__					)
                           except ValueError:
                                  self.fail('Bloom Tokenizer should be able to deal with padding'					)

                           a_ :		List[str]							=  None  # Hotfixing padding = None
                           self.assertRaises(SCREAMING_SNAKE_CASE__					,							tokenizer_r.encode					,							SCREAMING_SNAKE_CASE__					,							max_length=SCREAMING_SNAKE_CASE__					,							padding='max_length'					)

                           # Simple input
                           self.assertRaises(SCREAMING_SNAKE_CASE__					,							tokenizer_r.encode_plus					,							SCREAMING_SNAKE_CASE__					,							max_length=SCREAMING_SNAKE_CASE__					,							padding='max_length'					)

                           # Simple input
                           self.assertRaises(
                               SCREAMING_SNAKE_CASE__					,							tokenizer_r.batch_encode_plus					,							SCREAMING_SNAKE_CASE__					,							max_length=SCREAMING_SNAKE_CASE__					,							padding='max_length'					,							)

                           # Pair input
                           self.assertRaises(SCREAMING_SNAKE_CASE__					,							tokenizer_r.encode					,							SCREAMING_SNAKE_CASE__					,							max_length=SCREAMING_SNAKE_CASE__					,							padding='max_length'					)

                           # Pair input
                           self.assertRaises(SCREAMING_SNAKE_CASE__					,							tokenizer_r.encode_plus					,							SCREAMING_SNAKE_CASE__					,							max_length=SCREAMING_SNAKE_CASE__					,							padding='max_length'					)

                           # Pair input
                           self.assertRaises(
                               SCREAMING_SNAKE_CASE__					,							tokenizer_r.batch_encode_plus					,							SCREAMING_SNAKE_CASE__					,							max_length=SCREAMING_SNAKE_CASE__					,							padding='max_length'					,							)
      def 	SCREAMING_SNAKE_CASE							(	self    :	Any					)		->      Optional[Any]:
             a_ :		int							=  self.get_rust_tokenizer()
             a_ :		Optional[int]							=  load_dataset('xnli'					,							'all_languages'					,							split='test'					,							streaming=SCREAMING_SNAKE_CASE__					)

             a_ :		str							=  next(iter(SCREAMING_SNAKE_CASE__					)					)['premise']  # pick up one data
             a_ :		str							=  list(sample_data.values()					)

             a_ :		List[str]							=  list(map(tokenizer.encode					,							SCREAMING_SNAKE_CASE__					)					)
             a_ :		str							=  [tokenizer.decode(SCREAMING_SNAKE_CASE__					,							clean_up_tokenization_spaces=SCREAMING_SNAKE_CASE__					) for x in output_tokens]
             self.assertListEqual(SCREAMING_SNAKE_CASE__					,							SCREAMING_SNAKE_CASE__					)

      def 	SCREAMING_SNAKE_CASE							(	self    :	List[Any]					)		->      Any:
             # The test has to be overriden because BLOOM uses ALiBi positional embeddings that does not have
             # any sequence length constraints. This test of the parent class will fail since it relies on the
             # maximum sequence length of the positoonal embeddings.
             self.assertGreaterEqual(len(self.tokenizer_class.pretrained_vocab_files_map					)					,							1					)
             self.assertGreaterEqual(len(list(self.tokenizer_class.pretrained_vocab_files_map.values()					)[0]					)					,							1					)






from string import ascii_uppercase

UpperCAmelCase_				:			Dict   =	{char: i for i, char in enumerate(ascii_uppercase)}
UpperCAmelCase_				:			Optional[int]   =	dict(enumerate(ascii_uppercase))







def 	SCREAMING_SNAKE_CASE_						(      __A			:      str  ,   __A			:      str    )     ->		str:

       """simple docstring"""

       a_ :		Tuple							=  len(__A    )
       a_ :		int							=  0
       while True:
              if x == i:
                     a_ :		Tuple							=  0
              if len(__A    ) == len(__A    ):
                     break
              key += key[i]
              i += 1
       return key







def 	SCREAMING_SNAKE_CASE_						(      __A			:      str  ,   __A			:      str    )     ->		str:

       """simple docstring"""

       a_ :		Optional[int]							=  ''
       a_ :		Any							=  0
       for letter in message:
              if letter == " ":
                     cipher_text += " "
              else:
                     a_ :		Optional[Any]							=  (dicta[letter] - dicta[key_new[i]]) % 26
                     i += 1
                     cipher_text += dicta[x]
       return cipher_text







def 	SCREAMING_SNAKE_CASE_						(      __A			:      str  ,   __A			:      str    )     ->		str:

       """simple docstring"""

       a_ :		Any							=  ''
       a_ :		Optional[Any]							=  0
       for letter in cipher_text:
              if letter == " ":
                     or_txt += " "
              else:
                     a_ :		Union[str, Any]							=  (dicta[letter] + dicta[key_new[i]] + 26) % 26
                     i += 1
                     or_txt += dicta[x]
       return or_txt







def 	SCREAMING_SNAKE_CASE_						(      )     ->		None:

       """simple docstring"""

       a_ :		Tuple							=  'THE GERMAN ATTACK'
       a_ :		Dict							=  'SECRET'
       a_ :		Optional[Any]							=  generate_key(__A  ,   __A    )
       a_ :		Union[str, Any]							=  cipher_text(__A  ,   __A    )
       print(F"""Encrypted Text = {s}"""    )
       print(F"""Original Text = {original_text(__A  ,   __A    )}"""    )


if __name__ == "__main__":
   import doctest

   doctest.testmod()
   main()


