import json
from typing import Iterator, List, Union

from tokenizers import AddedToken, Regex, Tokenizer, decoders, normalizers, pre_tokenizers, trainers
from tokenizers.implementations.base_tokenizer import BaseTokenizer
from tokenizers.models import Unigram
from tokenizers.processors import TemplateProcessing







class 	__snake_case      (   lowerCAmelCase__      ):
 def __init__(     self						,      snake_case__ = "▁"						,      snake_case__ = True						,      snake_case__ = "<unk>"						,      snake_case__ = "</s>"						,      snake_case__ = "<pad>"						,      )		->							Tuple:
       '''simple docstring'''





       UpperCAmelCase			:       str			     ={
           '''pad''': {'''id''': 0, '''token''': pad_token},
           '''eos''': {'''id''': 1, '''token''': eos_token},
           '''unk''': {'''id''': 2, '''token''': unk_token},
       }

       UpperCAmelCase			:       List[Any]			     =[None] * len(self.special_tokens  )
       for token_dict in self.special_tokens.values():
             UpperCAmelCase			:       str			     =token_dict['''token''']

       UpperCAmelCase			:       Any			     =Tokenizer(Unigram()  )

       UpperCAmelCase			:       Any			     =normalizers.Sequence(
           [
               normalizers.Nmt(),
               normalizers.NFKC(),
               normalizers.Replace(Regex(''' {2,}'''  )						,      ''' '''  ),
               normalizers.Lowercase(),
           ]  )
       UpperCAmelCase			:       Any			     =pre_tokenizers.Sequence(
           [
               pre_tokenizers.Metaspace(replacement=__lowerCAmelCase						,      add_prefix_space=__lowerCAmelCase  ),
               pre_tokenizers.Digits(individual_digits=__lowerCAmelCase  ),
               pre_tokenizers.Punctuation(),
           ]  )
       UpperCAmelCase			:       int			     =decoders.Metaspace(replacement=__lowerCAmelCase						,      add_prefix_space=__lowerCAmelCase  )

       UpperCAmelCase			:       Optional[int]			     =TemplateProcessing(
           single=f'''$A {self.special_tokens['eos']['token']}'''						,      special_tokens=[(self.special_tokens['''eos''']['''token'''], self.special_tokens['''eos''']['''id'''])]						,      )

       UpperCAmelCase			:       Any			     ={
           '''model''': '''SentencePieceUnigram''',
           '''replacement''': replacement,
           '''add_prefix_space''': add_prefix_space,
       }

       super().__init__(__lowerCAmelCase						,      __lowerCAmelCase  )
 def 		UpperCAmelCase__				(     self						,      snake_case__						,      snake_case__ = 8000						,      snake_case__ = True						,      )		->							int:
       '''simple docstring'''





       UpperCAmelCase			:       List[str]			     =trainers.UnigramTrainer(
           vocab_size=__lowerCAmelCase						,      special_tokens=self.special_tokens_list						,      show_progress=__lowerCAmelCase						,      )

       if isinstance(__lowerCAmelCase						,      __lowerCAmelCase  ):
             UpperCAmelCase			:       Union[str, Any]			     =[files]
       self._tokenizer.train(__lowerCAmelCase						,      trainer=__lowerCAmelCase  )

       self.add_unk_id()
 def 		UpperCAmelCase__				(     self						,      snake_case__						,      snake_case__ = 8000						,      snake_case__ = True						,      )		->							Union[str, Any]:
       '''simple docstring'''





       UpperCAmelCase			:       Tuple			     =trainers.UnigramTrainer(
           vocab_size=__lowerCAmelCase						,      special_tokens=self.special_tokens_list						,      show_progress=__lowerCAmelCase						,      )

       self._tokenizer.train_from_iterator(__lowerCAmelCase						,      trainer=__lowerCAmelCase  )

       self.add_unk_id()






 def 		UpperCAmelCase__				(     self  )		->							Optional[int]:
       '''simple docstring'''





       UpperCAmelCase			:       List[str]			     =json.loads(self._tokenizer.to_str()  )

       UpperCAmelCase			:       Tuple			     =self.special_tokens['''unk''']['''id''']

       UpperCAmelCase			:       str			     =Tokenizer.from_str(json.dumps(__lowerCAmelCase  )  )

'''simple docstring'''




def 				snake_case__							(			_A:					str )    ->	list[int]:

		'''simple docstring'''


		lowerCAmelCase   					=  [0 for i in range(len(_A ) )]

		# initialize interval's left pointer and right pointer
		lowerCAmelCase					,     lowerCAmelCase   					=  0, 0

		for i in range(1      ,   len(_A ) ):
				# case when current index is inside the interval
				if i <= right_pointer:
						lowerCAmelCase   					=  min(right_pointer - i + 1      ,   z_result[i - left_pointer] )
						lowerCAmelCase   					=  min_edge

				while go_next(_A      ,   _A      ,   _A ):
						z_result[i] += 1

				# if new index's result gives us more right interval,
				# we've to update left_pointer and right_pointer
				if i + z_result[i] - 1 > right_pointer:
						lowerCAmelCase					,     lowerCAmelCase   					=  i, i + z_result[i] - 1

		return z_result






def 				snake_case__							(			_A:					int      ,   _A:					list[int]      ,   _A:					str )    ->	bool:

		'''simple docstring'''


		return i + z_result[i] < len(_A ) and s[z_result[i]] == s[i + z_result[i]]






def 				snake_case__							(			_A:					str      ,   _A:					str )    ->	int:

		'''simple docstring'''


		lowerCAmelCase   					=  0
		# concatenate 'pattern' and 'input_str' and call z_function
		# with concatenated string
		lowerCAmelCase   					=  z_function(pattern + input_str )

		for val in z_result:
				# if value is greater then length of the pattern string
				# that means this index is starting position of substring
				# which is equal to pattern string
				if val >= len(_A ):
						answer += 1

		return answer


if __name__ == "__main__":
						import doctest

						doctest.testmod()




