






"""simple docstring"""


import os
import unittest

from transformers import RealmTokenizerFast
from transformers.models.bert.tokenization_bert import (
    VOCAB_FILES_NAMES,
    BasicTokenizer,
    WordpieceTokenizer,
    _is_control,
    _is_punctuation,
    _is_whitespace,
)
from transformers.models.realm.tokenization_realm import RealmTokenizer
from transformers.testing_utils import require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin, filter_non_english






@require_tokenizers
class __a   (   snake_case_ ,unittest.TestCase				):
  __lowercase    :    Tuple						=					RealmTokenizer
  __lowercase    :    Optional[int]						=					RealmTokenizerFast
  __lowercase    :    int						=					True
  __lowercase    :    Tuple						=					True
  __lowercase    :    Optional[int]						=					filter_non_english



  def 						A_				(self  :		str   )		->							Any:
   super().setUp()

   __A	:       Optional[Any]       =	[
       '[UNK]',
       '[CLS]',
       '[SEP]',
       '[PAD]',
       '[MASK]',
       'want',
       '##want',
       '##ed',
       'wa',
       'un',
       'runn',
       '##ing',
       ',',
       'low',
       'lowest',
   ]
   __A	:       int       =	os.path.join(self.tmpdirname				,			VOCAB_FILES_NAMES['vocab_file']   )
   with open(self.vocab_file				,			'w'				,			encoding='utf-8'   ) as vocab_writer:
    vocab_writer.write(''.join([x + '\n' for x in vocab_tokens]   )   )



  def 						A_				(self  :		List[Any]				,			lowercase_  :		Dict   )		->							Tuple:
   __A	:       str       =	'UNwant\u00E9d,running'
   __A	:       Tuple       =	'unwanted, running'
   return input_text, output_text



  def 						A_				(self  :		int   )		->							List[Any]:
   __A	:       Optional[int]       =	self.tokenizer_class(self.vocab_file   )

   __A	:       Optional[Any]       =	tokenizer.tokenize('UNwant\u00E9d,running'   )
   self.assertListEqual(UpperCAmelCase_				,			['un', '##want', '##ed', ',', 'runn', '##ing']   )
   self.assertListEqual(tokenizer.convert_tokens_to_ids(UpperCAmelCase_   )				,			[9, 6, 7, 12, 10, 11]   )



  def 						A_				(self  :		List[Any]   )		->							Dict:
   if not self.test_rust_tokenizer:
    return

   __A	:       Tuple       =	self.get_tokenizer()
   __A	:       Tuple       =	self.get_rust_tokenizer()

   __A	:       Union[str, Any]       =	'UNwant\u00E9d,running'

   __A	:       Optional[Any]       =	tokenizer.tokenize(UpperCAmelCase_   )
   __A	:       int       =	rust_tokenizer.tokenize(UpperCAmelCase_   )
   self.assertListEqual(UpperCAmelCase_				,			UpperCAmelCase_   )

   __A	:       Tuple       =	tokenizer.encode(UpperCAmelCase_				,			add_special_tokens=UpperCAmelCase_   )
   __A	:       Dict       =	rust_tokenizer.encode(UpperCAmelCase_				,			add_special_tokens=UpperCAmelCase_   )
   self.assertListEqual(UpperCAmelCase_				,			UpperCAmelCase_   )

   __A	:       List[Any]       =	self.get_rust_tokenizer()
   __A	:       Tuple       =	tokenizer.encode(UpperCAmelCase_   )
   __A	:       Tuple       =	rust_tokenizer.encode(UpperCAmelCase_   )
   self.assertListEqual(UpperCAmelCase_				,			UpperCAmelCase_   )

   # With lower casing
   __A	:       Optional[int]       =	self.get_tokenizer(do_lower_case=UpperCAmelCase_   )
   __A	:       Any       =	self.get_rust_tokenizer(do_lower_case=UpperCAmelCase_   )

   __A	:       Tuple       =	'UNwant\u00E9d,running'

   __A	:       str       =	tokenizer.tokenize(UpperCAmelCase_   )
   __A	:       Optional[int]       =	rust_tokenizer.tokenize(UpperCAmelCase_   )
   self.assertListEqual(UpperCAmelCase_				,			UpperCAmelCase_   )

   __A	:       List[str]       =	tokenizer.encode(UpperCAmelCase_				,			add_special_tokens=UpperCAmelCase_   )
   __A	:       str       =	rust_tokenizer.encode(UpperCAmelCase_				,			add_special_tokens=UpperCAmelCase_   )
   self.assertListEqual(UpperCAmelCase_				,			UpperCAmelCase_   )

   __A	:       Union[str, Any]       =	self.get_rust_tokenizer()
   __A	:       Union[str, Any]       =	tokenizer.encode(UpperCAmelCase_   )
   __A	:       Optional[int]       =	rust_tokenizer.encode(UpperCAmelCase_   )
   self.assertListEqual(UpperCAmelCase_				,			UpperCAmelCase_   )



  def 						A_				(self  :		List[str]   )		->							Optional[int]:
   __A	:       Dict       =	BasicTokenizer()

   self.assertListEqual(tokenizer.tokenize('ah\u535A\u63A8zz'   )				,			['ah', '\u535A', '\u63A8', 'zz']   )



  def 						A_				(self  :		Any   )		->							Union[str, Any]:
   __A	:       str       =	BasicTokenizer(do_lower_case=UpperCAmelCase_   )

   self.assertListEqual(
       tokenizer.tokenize(' \tHeLLo!how  \n Are yoU?  '   )				,			['hello', '!', 'how', 'are', 'you', '?']   )
   self.assertListEqual(tokenizer.tokenize('H\u00E9llo'   )				,			['hello']   )



  def 						A_				(self  :		str   )		->							Optional[int]:
   __A	:       Optional[int]       =	BasicTokenizer(do_lower_case=UpperCAmelCase_				,			strip_accents=UpperCAmelCase_   )

   self.assertListEqual(
       tokenizer.tokenize(' \tHäLLo!how  \n Are yoU?  '   )				,			['hällo', '!', 'how', 'are', 'you', '?']   )
   self.assertListEqual(tokenizer.tokenize('H\u00E9llo'   )				,			['h\u00E9llo']   )



  def 						A_				(self  :		Tuple   )		->							Any:
   __A	:       Tuple       =	BasicTokenizer(do_lower_case=UpperCAmelCase_				,			strip_accents=UpperCAmelCase_   )

   self.assertListEqual(
       tokenizer.tokenize(' \tHäLLo!how  \n Are yoU?  '   )				,			['hallo', '!', 'how', 'are', 'you', '?']   )
   self.assertListEqual(tokenizer.tokenize('H\u00E9llo'   )				,			['hello']   )



  def 						A_				(self  :		Dict   )		->							Union[str, Any]:
   __A	:       int       =	BasicTokenizer(do_lower_case=UpperCAmelCase_   )

   self.assertListEqual(
       tokenizer.tokenize(' \tHäLLo!how  \n Are yoU?  '   )				,			['hallo', '!', 'how', 'are', 'you', '?']   )
   self.assertListEqual(tokenizer.tokenize('H\u00E9llo'   )				,			['hello']   )



  def 						A_				(self  :		int   )		->							int:
   __A	:       Any       =	BasicTokenizer(do_lower_case=UpperCAmelCase_   )

   self.assertListEqual(
       tokenizer.tokenize(' \tHeLLo!how  \n Are yoU?  '   )				,			['HeLLo', '!', 'how', 'Are', 'yoU', '?']   )



  def 						A_				(self  :		Dict   )		->							Dict:
   __A	:       int       =	BasicTokenizer(do_lower_case=UpperCAmelCase_				,			strip_accents=UpperCAmelCase_   )

   self.assertListEqual(
       tokenizer.tokenize(' \tHäLLo!how  \n Are yoU?  '   )				,			['HäLLo', '!', 'how', 'Are', 'yoU', '?']   )



  def 						A_				(self  :		int   )		->							str:
   __A	:       List[str]       =	BasicTokenizer(do_lower_case=UpperCAmelCase_				,			strip_accents=UpperCAmelCase_   )

   self.assertListEqual(
       tokenizer.tokenize(' \tHäLLo!how  \n Are yoU?  '   )				,			['HaLLo', '!', 'how', 'Are', 'yoU', '?']   )



  def 						A_				(self  :		Union[str, Any]   )		->							Optional[int]:
   __A	:       str       =	BasicTokenizer(do_lower_case=UpperCAmelCase_				,			never_split=['[UNK]']   )

   self.assertListEqual(
       tokenizer.tokenize(' \tHeLLo!how  \n Are yoU? [UNK]'   )				,			['HeLLo', '!', 'how', 'Are', 'yoU', '?', '[UNK]']   )



  def 						A_				(self  :		List[str]   )		->							int:
   __A	:       Optional[Any]       =	['[UNK]', '[CLS]', '[SEP]', 'want', '##want', '##ed', 'wa', 'un', 'runn', '##ing']

   __A	:       int       =	{}
   for i, token in enumerate(UpperCAmelCase_   ):
    __A	:       Union[str, Any]       =	i
   __A	:       List[str]       =	WordpieceTokenizer(vocab=UpperCAmelCase_				,			unk_token='[UNK]'   )

   self.assertListEqual(tokenizer.tokenize(''   )				,			[]   )

   self.assertListEqual(tokenizer.tokenize('unwanted running'   )				,			['un', '##want', '##ed', 'runn', '##ing']   )

   self.assertListEqual(tokenizer.tokenize('unwantedX running'   )				,			['[UNK]', 'runn', '##ing']   )



  def 						A_				(self  :		Dict   )		->							Tuple:
   self.assertTrue(_is_whitespace(' '   )   )
   self.assertTrue(_is_whitespace('\t'   )   )
   self.assertTrue(_is_whitespace('\r'   )   )
   self.assertTrue(_is_whitespace('\n'   )   )
   self.assertTrue(_is_whitespace('\u00A0'   )   )

   self.assertFalse(_is_whitespace('A'   )   )
   self.assertFalse(_is_whitespace('-'   )   )



  def 						A_				(self  :		List[str]   )		->							List[str]:
   self.assertTrue(_is_control('\u0005'   )   )

   self.assertFalse(_is_control('A'   )   )
   self.assertFalse(_is_control(' '   )   )
   self.assertFalse(_is_control('\t'   )   )
   self.assertFalse(_is_control('\r'   )   )



  def 						A_				(self  :		Union[str, Any]   )		->							Optional[int]:
   self.assertTrue(_is_punctuation('-'   )   )
   self.assertTrue(_is_punctuation('$'   )   )
   self.assertTrue(_is_punctuation('`'   )   )
   self.assertTrue(_is_punctuation('.'   )   )

   self.assertFalse(_is_punctuation('A'   )   )
   self.assertFalse(_is_punctuation(' '   )   )



  def 						A_				(self  :		List[str]   )		->							List[str]:
   __A	:       Optional[int]       =	self.get_tokenizer()

   # Example taken from the issue https://github.com/huggingface/tokenizers/issues/340
   self.assertListEqual([tokenizer.tokenize(UpperCAmelCase_   ) for t in ['Test', '\xad', 'test']]				,			[['[UNK]'], [], ['[UNK]']]   )

   if self.test_rust_tokenizer:
    __A	:       List[str]       =	self.get_rust_tokenizer()
    self.assertListEqual(
        [rust_tokenizer.tokenize(UpperCAmelCase_   ) for t in ['Test', '\xad', 'test']]				,			[['[UNK]'], [], ['[UNK]']]   )



  @slow
  def 						A_				(self  :		List[Any]   )		->							List[str]:
   __A	:       Optional[int]       =	self.tokenizer_class.from_pretrained('bert-base-uncased'   )

   __A	:       Optional[int]       =	tokenizer.encode('sequence builders'				,			add_special_tokens=UpperCAmelCase_   )
   __A	:       Union[str, Any]       =	tokenizer.encode('multi-sequence build'				,			add_special_tokens=UpperCAmelCase_   )

   __A	:       int       =	tokenizer.build_inputs_with_special_tokens(UpperCAmelCase_   )
   __A	:       str       =	tokenizer.build_inputs_with_special_tokens(UpperCAmelCase_				,			UpperCAmelCase_   )

   assert encoded_sentence == [101] + text + [102]
   assert encoded_pair == [101] + text + [102] + text_a + [102]



  def 						A_				(self  :		Optional[Any]   )		->							Tuple:
   for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
    with self.subTest(f"{tokenizer.__class__.__name__} ({pretrained_name})"   ):
     __A	:       Optional[Any]       =	self.rust_tokenizer_class.from_pretrained(UpperCAmelCase_				,			**UpperCAmelCase_   )

     __A	:       List[Any]       =	f"A, naïve {tokenizer_r.mask_token} AllenNLP sentence."
     __A	:       List[Any]       =	tokenizer_r.encode_plus(
         UpperCAmelCase_				,			return_attention_mask=UpperCAmelCase_				,			return_token_type_ids=UpperCAmelCase_				,			return_offsets_mapping=UpperCAmelCase_				,			add_special_tokens=UpperCAmelCase_				,			)

     __A	:       Optional[Any]       =	tokenizer_r.do_lower_case if hasattr(UpperCAmelCase_				,			'do_lower_case'   ) else False
     __A	:       Tuple       =	(
         [
             ((0, 0), tokenizer_r.cls_token),
             ((0, 1), 'A'),
             ((1, 2), ','),
             ((3, 5), 'na'),
             ((5, 6), '##ï'),
             ((6, 8), '##ve'),
             ((9, 15), tokenizer_r.mask_token),
             ((16, 21), 'Allen'),
             ((21, 23), '##NL'),
             ((23, 24), '##P'),
             ((25, 33), 'sentence'),
             ((33, 34), '.'),
             ((0, 0), tokenizer_r.sep_token),
         ]
         if not do_lower_case
         else [
             ((0, 0), tokenizer_r.cls_token),
             ((0, 1), 'a'),
             ((1, 2), ','),
             ((3, 8), 'naive'),
             ((9, 15), tokenizer_r.mask_token),
             ((16, 21), 'allen'),
             ((21, 23), '##nl'),
             ((23, 24), '##p'),
             ((25, 33), 'sentence'),
             ((33, 34), '.'),
             ((0, 0), tokenizer_r.sep_token),
         ]
     )

     self.assertEqual(
         [e[1] for e in expected_results]				,			tokenizer_r.convert_ids_to_tokens(tokens['input_ids']   )   )
     self.assertEqual([e[0] for e in expected_results]				,			tokens['offset_mapping']   )



  @slow
  def 						A_				(self  :		Union[str, Any]   )		->							Tuple:
   for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
    with self.subTest(f"{tokenizer.__class__.__name__} ({pretrained_name})"   ):
     __A	:       int       =	self.rust_tokenizer_class.from_pretrained(UpperCAmelCase_				,			**UpperCAmelCase_   )
     __A	:       Tuple       =	self.tokenizer_class.from_pretrained(UpperCAmelCase_				,			**UpperCAmelCase_   )
     __A	:       Optional[Any]       =	[['Hello world!', 'Nice to meet you!'], ['The cute cat.', 'The adorable dog.']]

     __A	:       Any       =	tokenizer_r.batch_encode_candidates(UpperCAmelCase_				,			max_length=10				,			return_tensors='np'   )
     __A	:       int       =	tokenizer_p.batch_encode_candidates(UpperCAmelCase_				,			max_length=10				,			return_tensors='np'   )

     __A	:       Tuple       =	(2, 2, 10)

     self.assertEqual(encoded_sentence_r['input_ids'].shape				,			UpperCAmelCase_   )
     self.assertEqual(encoded_sentence_r['attention_mask'].shape				,			UpperCAmelCase_   )
     self.assertEqual(encoded_sentence_r['token_type_ids'].shape				,			UpperCAmelCase_   )

     self.assertEqual(encoded_sentence_p['input_ids'].shape				,			UpperCAmelCase_   )
     self.assertEqual(encoded_sentence_p['attention_mask'].shape				,			UpperCAmelCase_   )
     self.assertEqual(encoded_sentence_p['token_type_ids'].shape				,			UpperCAmelCase_   )













"""simple docstring"""


from string import ascii_uppercase




def 				a (     UpperCamelCase_							:				str     ,	UpperCamelCase_							:				str     ,	UpperCamelCase_							:				bool = False     ,	UpperCamelCase_							:				str = ascii_uppercase		)  ->		str:
 __A	:       List[str]       =	keyword.upper()
 __A	:       str       =	plaintext.upper()
 __A	:       int       =	set(UpperCamelCase_		)

 # create a list of unique characters in the keyword - their order matters
 # it determines how we will map plaintext characters to the ciphertext
 __A	:       int       =	[]
 for char in keyword:
  if char in alphabet_set and char not in unique_chars:
   unique_chars.append(UpperCamelCase_		)
    # the number of those unique characters will determine the number of rows
 __A	:       Any       =	len(UpperCamelCase_		)

 # create a shifted version of the alphabet
 __A	:       str       =	unique_chars + [
     char for char in alphabet if char not in unique_chars
 ]

 # create a modified alphabet by splitting the shifted alphabet into rows
 __A	:       int       =	[
     shifted_alphabet[k : k + num_unique_chars_in_keyword]
     for k in range(0     ,	2_6     ,	UpperCamelCase_		)
 ]

 # map the alphabet characters to the modified alphabet characters
 # going 'vertically' through the modified alphabet - consider columns first
 __A	:       Any       =	{}
 __A	:       Union[str, Any]       =	0
 for column in range(UpperCamelCase_		):
  for row in modified_alphabet:
   # if current row (the last one) is too short, break out of loop
   if len(UpperCamelCase_		) <= column:
    break

   # map current letter to letter in modified alphabet
   __A	:       str       =	row[column]
   letter_index += 1

 if verbose:
  print(UpperCamelCase_		)
 # create the encrypted text by mapping the plaintext to the modified alphabet
 return "".join(mapping[char] if char in mapping else char for char in plaintext		)


if __name__ == "__main__":
   # example use
   print(mixed_keyword("""college""", """UNIVERSITY"""))





