






"""simple docstring"""



import json
import os
import shutil
import tempfile
import unittest

from transformers import BatchEncoding, CanineTokenizer
from transformers.testing_utils import require_tokenizers, require_torch
from transformers.tokenization_utils import AddedToken
from transformers.utils import cached_property

from ...test_tokenization_common import TokenizerTesterMixin

class        a     (   a_,				unittest.TestCase	):
    UpperCAmelCase_ :     Optional[int]	     =CanineTokenizer
    UpperCAmelCase_ :     Union[str, Any]	     =False







    def 			UpperCamelCase_      (			self       ):
      super().setUp()
      lowercase							    =       CanineTokenizer()
      tokenizer.save_pretrained(self.tmpdirname       )







    @cached_property
    def 			UpperCamelCase_      (			self       ):
      return CanineTokenizer.from_pretrained('google/canine-s'       )







    def 			UpperCamelCase_      (			self							,		**_lowerCamelCase       ):
      lowercase							    =       self.tokenizer_class.from_pretrained(self.tmpdirname							,		**_lowerCamelCase       )
      lowercase							    =       1_0_2_4
      return tokenizer







    @require_torch
    def 			UpperCamelCase_      (			self       ):
      lowercase							    =       self.canine_tokenizer
      lowercase							    =       ['Life is like a box of chocolates.', 'You never know what you\'re gonna get.']
      # fmt: off
      lowercase							    =       [5_7_3_4_4, 7_6, 1_0_5, 1_0_2, 1_0_1, 3_2, 1_0_5, 1_1_5, 3_2, 1_0_8, 1_0_5, 1_0_7, 1_0_1, 3_2, 9_7, 3_2, 9_8, 1_1_1, 1_2_0, 3_2, 1_1_1, 1_0_2, 3_2, 9_9, 1_0_4, 1_1_1, 9_9, 1_1_1, 1_0_8, 9_7, 1_1_6, 1_0_1, 1_1_5, 4_6, 5_7_3_4_5, 0, 0, 0, 0]
      # fmt: on
      lowercase							    =       tokenizer(_lowerCamelCase							,		padding=_lowerCamelCase							,		return_tensors='pt'       )
      self.assertIsInstance(_lowerCamelCase							,		_lowerCamelCase       )

      lowercase							    =       list(batch.input_ids.numpy()[0]       )

      self.assertListEqual(_lowerCamelCase							,		_lowerCamelCase       )

      self.assertEqual((2, 3_9)							,		batch.input_ids.shape       )
      self.assertEqual((2, 3_9)							,		batch.attention_mask.shape       )







    @require_torch
    def 			UpperCamelCase_      (			self       ):
      lowercase							    =       self.canine_tokenizer
      lowercase							    =       ['Once there was a man.', 'He wrote a test in HuggingFace Tranformers.']
      lowercase							    =       tokenizer(_lowerCamelCase							,		padding=_lowerCamelCase							,		return_tensors='pt'       )
      # check if input_ids, attention_mask and token_type_ids are returned
      self.assertIn('input_ids'							,		_lowerCamelCase       )
      self.assertIn('attention_mask'							,		_lowerCamelCase       )
      self.assertIn('token_type_ids'							,		_lowerCamelCase       )







    @require_torch
    def 			UpperCamelCase_      (			self       ):
      lowercase							    =       self.canine_tokenizer
      lowercase							    =       [
          'What\'s the weater?',
          'It\'s about 25 degrees.',
      ]
      lowercase							    =       tokenizer(
          text_target=_lowerCamelCase							,		max_length=3_2							,		padding='max_length'							,		truncation=_lowerCamelCase							,		return_tensors='pt'       )
      self.assertEqual(3_2							,		targets['input_ids'].shape[1]       )







    def 			UpperCamelCase_      (			self       ):
      # safety check on max_len default value so we are sure the test works
      lowercase							    =       self.get_tokenizers()
      for tokenizer in tokenizers:
        with self.subTest(F'{tokenizer.__class__.__name__}'       ):
          self.assertNotEqual(tokenizer.model_max_length							,		4_2       )

        # Now let's start the test
      lowercase							    =       self.get_tokenizers()
      for tokenizer in tokenizers:
        with self.subTest(F'{tokenizer.__class__.__name__}'       ):
          # Isolate this from the other tests because we save additional tokens/etc
          lowercase							    =       tempfile.mkdtemp()

          lowercase							    =       ' He is very happy, UNwant\u00E9d,running'
          lowercase							    =       tokenizer.encode(_lowerCamelCase							,		add_special_tokens=_lowerCamelCase       )
          tokenizer.save_pretrained(_lowerCamelCase       )

          lowercase							    =       tokenizer.__class__.from_pretrained(_lowerCamelCase       )
          lowercase							    =       after_tokenizer.encode(_lowerCamelCase							,		add_special_tokens=_lowerCamelCase       )
          self.assertListEqual(_lowerCamelCase							,		_lowerCamelCase       )

          shutil.rmtree(_lowerCamelCase       )

      lowercase							    =       self.get_tokenizers(model_max_length=4_2       )
      for tokenizer in tokenizers:
        with self.subTest(F'{tokenizer.__class__.__name__}'       ):
          # Isolate this from the other tests because we save additional tokens/etc
          lowercase							    =       tempfile.mkdtemp()

          lowercase							    =       ' He is very happy, UNwant\u00E9d,running'

          lowercase							    =       tokenizer.additional_special_tokens

          # We can add a new special token for Canine as follows:
          lowercase							    =       chr(0XE0_07       )
          additional_special_tokens.append(_lowerCamelCase       )
          tokenizer.add_special_tokens({'additional_special_tokens': additional_special_tokens}       )
          lowercase							    =       tokenizer.encode(_lowerCamelCase							,		add_special_tokens=_lowerCamelCase       )
          tokenizer.save_pretrained(_lowerCamelCase       )

          lowercase							    =       tokenizer.__class__.from_pretrained(_lowerCamelCase       )
          lowercase							    =       after_tokenizer.encode(_lowerCamelCase							,		add_special_tokens=_lowerCamelCase       )
          self.assertListEqual(_lowerCamelCase							,		_lowerCamelCase       )
          self.assertIn(_lowerCamelCase							,		after_tokenizer.additional_special_tokens       )
          self.assertEqual(after_tokenizer.model_max_length							,		4_2       )

          lowercase							    =       tokenizer.__class__.from_pretrained(_lowerCamelCase							,		model_max_length=4_3       )
          self.assertEqual(tokenizer.model_max_length							,		4_3       )

          shutil.rmtree(_lowerCamelCase       )







    def 			UpperCamelCase_      (			self       ):
      lowercase							    =       self.get_tokenizers(do_lower_case=_lowerCamelCase       )
      for tokenizer in tokenizers:
        with self.subTest(F'{tokenizer.__class__.__name__}'       ):
          lowercase    ,     lowercase							    =       self.get_clean_sequence(_lowerCamelCase       )

          # a special token for Canine can be defined as follows:
          lowercase							    =       0XE0_05
          lowercase							    =       chr(_lowerCamelCase       )

          tokenizer.add_special_tokens({'cls_token': special_token}       )
          lowercase							    =       tokenizer.encode(_lowerCamelCase							,		add_special_tokens=_lowerCamelCase       )
          self.assertEqual(len(_lowerCamelCase       )							,		1       )

          lowercase							    =       tokenizer.decode(ids + encoded_special_token							,		clean_up_tokenization_spaces=_lowerCamelCase       )
          lowercase							    =       tokenizer.encode(_lowerCamelCase							,		add_special_tokens=_lowerCamelCase       )

          lowercase							    =       tokenizer.encode(_lowerCamelCase							,		add_special_tokens=_lowerCamelCase       )
          lowercase							    =       tokenizer.encode(_lowerCamelCase							,		add_special_tokens=_lowerCamelCase       )
          self.assertEqual(_lowerCamelCase							,		input_encoded + special_token_id       )

          lowercase							    =       tokenizer.decode(_lowerCamelCase							,		skip_special_tokens=_lowerCamelCase       )
          self.assertTrue(special_token not in decoded       )







    def 			UpperCamelCase_      (			self       ):
      lowercase							    =       self.get_tokenizers(do_lower_case=_lowerCamelCase       )
      for tokenizer in tokenizers:
        with self.subTest(F'{tokenizer.__class__.__name__}'       ):
          lowercase							    =       chr(0XE0_05       )
          lowercase							    =       chr(0XE0_06       )

          # `add_tokens` method stores special tokens only in `tokenizer.unique_no_split_tokens`. (in tokenization_utils.py)
          tokenizer.add_tokens([SPECIAL_TOKEN_1]							,		special_tokens=_lowerCamelCase       )
          # `add_special_tokens` method stores special tokens in `tokenizer.additional_special_tokens`,
          # which also occur in `tokenizer.all_special_tokens`. (in tokenization_utils_base.py)
          tokenizer.add_special_tokens({'additional_special_tokens': [SPECIAL_TOKEN_2]}       )

          lowercase							    =       tokenizer.tokenize(_lowerCamelCase       )
          lowercase							    =       tokenizer.tokenize(_lowerCamelCase       )

          self.assertEqual(len(_lowerCamelCase       )							,		1       )
          self.assertEqual(len(_lowerCamelCase       )							,		1       )
          self.assertEqual(token_a[0]							,		_lowerCamelCase       )
          self.assertEqual(token_a[0]							,		_lowerCamelCase       )







    @require_tokenizers
    def 			UpperCamelCase_      (			self       ):
      lowercase							    =       self.get_tokenizers(do_lower_case=_lowerCamelCase       )
      for tokenizer in tokenizers:
        with self.subTest(F'{tokenizer.__class__.__name__}'       ):
          # a special token for Canine can be defined as follows:
          lowercase							    =       0XE0_06
          lowercase							    =       chr(_lowerCamelCase       )

          lowercase							    =       AddedToken(_lowerCamelCase							,		lstrip=_lowerCamelCase       )
          tokenizer.add_special_tokens({'additional_special_tokens': [new_token]}       )

          with tempfile.TemporaryDirectory() as tmp_dir_name:
            tokenizer.save_pretrained(_lowerCamelCase       )
            tokenizer.from_pretrained(_lowerCamelCase       )







    def 			UpperCamelCase_      (			self       ):
      lowercase							    =       []
      if self.test_slow_tokenizer:
        tokenizer_list.append((self.tokenizer_class, self.get_tokenizer())       )

      if self.test_rust_tokenizer:
        tokenizer_list.append((self.rust_tokenizer_class, self.get_rust_tokenizer())       )

      for tokenizer_class, tokenizer_utils in tokenizer_list:
        with tempfile.TemporaryDirectory() as tmp_dir:
          tokenizer_utils.save_pretrained(_lowerCamelCase       )

          with open(os.path.join(_lowerCamelCase							,		'special_tokens_map.json'       )							,		encoding='utf-8'       ) as json_file:
            lowercase							    =       json.load(_lowerCamelCase       )

          with open(os.path.join(_lowerCamelCase							,		'tokenizer_config.json'       )							,		encoding='utf-8'       ) as json_file:
            lowercase							    =       json.load(_lowerCamelCase       )

          # a special token for Canine can be defined as follows:
          lowercase							    =       0XE0_06
          lowercase							    =       chr(_lowerCamelCase       )

          lowercase							    =       [new_token_a]
          lowercase							    =       [new_token_a]

          with open(os.path.join(_lowerCamelCase							,		'special_tokens_map.json'       )							,		'w'							,		encoding='utf-8'       ) as outfile:
            json.dump(_lowerCamelCase							,		_lowerCamelCase       )
          with open(os.path.join(_lowerCamelCase							,		'tokenizer_config.json'       )							,		'w'							,		encoding='utf-8'       ) as outfile:
            json.dump(_lowerCamelCase							,		_lowerCamelCase       )

          # the following checks allow us to verify that our test works as expected, i.e. that the tokenizer takes
          # into account the new value of additional_special_tokens given in the "tokenizer_config.json" and
          # "special_tokens_map.json" files
          lowercase							    =       tokenizer_class.from_pretrained(_lowerCamelCase							,		extra_ids=0       )
          self.assertIn(_lowerCamelCase							,		tokenizer_without_change_in_init.additional_special_tokens       )
          # self.assertIn("an_additional_special_token",tokenizer_without_change_in_init.get_vocab()) # ByT5Tokenization no vocab
          self.assertEqual(
              [new_token_a]							,		tokenizer_without_change_in_init.convert_ids_to_tokens(
                  tokenizer_without_change_in_init.convert_tokens_to_ids([new_token_a]       )       )							,		)

          lowercase							    =       0XE0_07
          lowercase							    =       chr(_lowerCamelCase       )
          # Now we test that we can change the value of additional_special_tokens in the from_pretrained
          lowercase							    =       [AddedToken(_lowerCamelCase							,		lstrip=_lowerCamelCase       )]
          lowercase							    =       tokenizer_class.from_pretrained(
              _lowerCamelCase							,		additional_special_tokens=_lowerCamelCase							,		extra_ids=0       )

          self.assertIn(_lowerCamelCase							,		tokenizer.additional_special_tokens       )
          # self.assertIn(new_token_2,tokenizer.get_vocab()) # ByT5Tokenization no vocab
          self.assertEqual(
              [new_token_a]							,		tokenizer.convert_ids_to_tokens(tokenizer.convert_tokens_to_ids([new_token_a]       )       )       )







    @require_tokenizers
    def 			UpperCamelCase_      (			self       ):
      lowercase							    =       self.get_tokenizers(do_lower_case=_lowerCamelCase       )
      for tokenizer in tokenizers:
        with self.subTest(F'{tokenizer.__class__.__name__}'       ):
          lowercase							    =       'hello world'
          if self.space_between_special_tokens:
            lowercase							    =       '[CLS] hello world [SEP]'
          else:
            lowercase							    =       input
          lowercase							    =       tokenizer.encode(_lowerCamelCase							,		add_special_tokens=_lowerCamelCase       )
          lowercase							    =       tokenizer.decode(_lowerCamelCase							,		spaces_between_special_tokens=self.space_between_special_tokens       )
          self.assertIn(_lowerCamelCase							,		[output, output.lower()]       )







    def 			UpperCamelCase_      (			self       ):
      lowercase							    =       self.get_tokenizers()
      for tokenizer in tokenizers:
        with self.subTest(F'{tokenizer.__class__.__name__}'       ):
          lowercase							    =       [
              'bos_token',
              'eos_token',
              'unk_token',
              'sep_token',
              'pad_token',
              'cls_token',
              'mask_token',
          ]

      lowercase							    =       'a'
      lowercase							    =       ord(_lowerCamelCase       )

      for attr in attributes_list:
        setattr(_lowerCamelCase							,		attr + '_id'							,		_lowerCamelCase       )
        self.assertEqual(getattr(_lowerCamelCase							,		_lowerCamelCase       )							,		_lowerCamelCase       )
        self.assertEqual(getattr(_lowerCamelCase							,		attr + '_id'       )							,		_lowerCamelCase       )

        setattr(_lowerCamelCase							,		attr + '_id'							,		_lowerCamelCase       )
        self.assertEqual(getattr(_lowerCamelCase							,		_lowerCamelCase       )							,		_lowerCamelCase       )
        self.assertEqual(getattr(_lowerCamelCase							,		attr + '_id'       )							,		_lowerCamelCase       )

      setattr(_lowerCamelCase							,		'additional_special_tokens_ids'							,		[]       )
      self.assertListEqual(getattr(_lowerCamelCase							,		'additional_special_tokens'       )							,		[]       )
      self.assertListEqual(getattr(_lowerCamelCase							,		'additional_special_tokens_ids'       )							,		[]       )

      lowercase							    =       0XE0_06
      lowercase							    =       chr(_lowerCamelCase       )
      setattr(_lowerCamelCase							,		'additional_special_tokens_ids'							,		[additional_special_token_id]       )
      self.assertListEqual(getattr(_lowerCamelCase							,		'additional_special_tokens'       )							,		[additional_special_token]       )
      self.assertListEqual(getattr(_lowerCamelCase							,		'additional_special_tokens_ids'       )							,		[additional_special_token_id]       )







    def 			UpperCamelCase_      (			self       ):
      pass







    def 			UpperCamelCase_      (			self       ):
      pass







    def 			UpperCamelCase_      (			self       ):
      pass







    def 			UpperCamelCase_      (			self       ):
      pass







    def 			UpperCamelCase_      (			self       ):
      pass







    def 			UpperCamelCase_      (			self       ):
      pass







    def 			UpperCamelCase_      (			self       ):
      pass







    def 			UpperCamelCase_      (			self       ):
      pass










"""simple docstring"""



def 						_SCREAMING_SNAKE_CASE (    __snake_case			:  List[str]		,					__snake_case			:  List[str]    ):





  '''simple docstring'''





  lowercase							    =       ''
  for i in table:
    res += inp[i - 1]
  return res
def 						_SCREAMING_SNAKE_CASE (    __snake_case			:  str    ):





  '''simple docstring'''





  return data[1:] + data[0]
def 						_SCREAMING_SNAKE_CASE (    __snake_case			:  List[str]		,					__snake_case			:  Optional[int]    ):





  '''simple docstring'''





  lowercase							    =       ''
  for i in range(len(__snake_case    )    ):
    if a[i] == b[i]:
      res += "0"
    else:
      res += "1"
  return res
def 						_SCREAMING_SNAKE_CASE (    __snake_case			:  Dict		,					__snake_case			:  Optional[Any]    ):





  '''simple docstring'''





  lowercase							    =       int('0b' + data[0] + data[-1]		,					2    )
  lowercase							    =       int('0b' + data[1:3]		,					2    )
  return bin(s[row][col]    )[2:]
def 						_SCREAMING_SNAKE_CASE (    __snake_case			:  Union[str, Any]		,					__snake_case			:  Union[str, Any]		,					__snake_case			:  Dict		,					__snake_case			:  Union[str, Any]		,					__snake_case			:  Optional[int]    ):





  '''simple docstring'''





  lowercase							    =       message[:4]
  lowercase							    =       message[4:]
  lowercase							    =       apply_table(__snake_case		,					__snake_case    )
  lowercase							    =       xor(__snake_case		,					__snake_case    )
  lowercase							    =       apply_sbox(__snake_case		,					temp[:4]    )  # noqa: E741
  lowercase							    =       apply_sbox(__snake_case		,					temp[4:]    )
  lowercase							    =       '0' * (2 - len(__snake_case    )) + l  # noqa: E741
  lowercase							    =       '0' * (2 - len(__snake_case    )) + r
  lowercase							    =       apply_table(l + r		,					__snake_case    )
  lowercase							    =       xor(__snake_case		,					__snake_case    )
  return temp + right


if __name__ == "__main__":
    _UpperCamelCase		:  Dict						=		input('Enter 10 bit key: ')
    _UpperCamelCase		:  int						=		input('Enter 8 bit message: ')

    _UpperCamelCase		:  Optional[int]						=		[6, 3, 7, 4, 8, 5, 1_0, 9]
    _UpperCamelCase		:  Optional[Any]						=		[3, 5, 2, 7, 4, 1_0, 1, 9, 8, 6]
    _UpperCamelCase		:  str						=		[2, 4, 3, 1]
    _UpperCamelCase		:  List[Any]						=		[2, 6, 3, 1, 4, 8, 5, 7]
    _UpperCamelCase		:  List[str]						=		[4, 1, 3, 5, 7, 2, 8, 6]
    _UpperCamelCase		:  int						=		[4, 1, 2, 3, 2, 3, 4, 1]
    _UpperCamelCase		:  Optional[Any]						=		[[1, 0, 3, 2], [3, 2, 1, 0], [0, 2, 1, 3], [3, 1, 3, 2]]
    _UpperCamelCase		:  Optional[int]						=		[[0, 1, 2, 3], [2, 0, 1, 3], [3, 0, 1, 0], [2, 1, 0, 3]]

    # key generation
    _UpperCamelCase		:  str						=		apply_table(key, paa_table)
    _UpperCamelCase		:  Union[str, Any]						=		temp[:5]
    _UpperCamelCase		:  Dict						=		temp[5:]
    _UpperCamelCase		:  List[Any]						=		left_shift(left)
    _UpperCamelCase		:  str						=		left_shift(right)
    _UpperCamelCase		:  int						=		apply_table(left + right, pa_table)
    _UpperCamelCase		:  Optional[int]						=		left_shift(left)
    _UpperCamelCase		:  Any						=		left_shift(right)
    _UpperCamelCase		:  str						=		left_shift(left)
    _UpperCamelCase		:  Tuple						=		left_shift(right)
    _UpperCamelCase		:  Union[str, Any]						=		apply_table(left + right, pa_table)

    # encryption
    _UpperCamelCase		:  Tuple						=		apply_table(message, IP)
    _UpperCamelCase		:  Any						=		function(expansion, sa, sa, keya, temp)
    _UpperCamelCase		:  List[Any]						=		temp[4:] + temp[:4]
    _UpperCamelCase		:  List[str]						=		function(expansion, sa, sa, keya, temp)
    _UpperCamelCase		:  int						=		apply_table(temp, IP_inv)
    print('Cipher text is:', CT)

    # decryption
    _UpperCamelCase		:  List[Any]						=		apply_table(CT, IP)
    _UpperCamelCase		:  Optional[Any]						=		function(expansion, sa, sa, keya, temp)
    _UpperCamelCase		:  int						=		temp[4:] + temp[:4]
    _UpperCamelCase		:  str						=		function(expansion, sa, sa, keya, temp)
    _UpperCamelCase		:  List[Any]						=		apply_table(temp, IP_inv)
    print('Plain text after decypting is:', PT)


