
"""simple docstring"""

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 __lowerCAmelCase		(				__SCREAMING_SNAKE_CASE      ):





     def __init__(     self     ,					__UpperCAmelCase = "▁"     ,					__UpperCAmelCase = True     ,					__UpperCAmelCase = "<unk>"     ,					__UpperCAmelCase = "</s>"     ,					__UpperCAmelCase = "<pad>"     ,					):

      '''simple docstring'''




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

      __UpperCamelCase      =	[None] * len(self.special_tokens				)
      for token_dict in self.special_tokens.values():
       __UpperCamelCase      =	token_dict['token']

      __UpperCamelCase      =	Tokenizer(Unigram()				)

      __UpperCamelCase      =	normalizers.Sequence(
          [
              normalizers.Nmt(),
              normalizers.NFKC(),
              normalizers.Replace(Regex(' {2,}'				)     ,					' '				),
              normalizers.Lowercase(),
          ]				)
      __UpperCamelCase      =	pre_tokenizers.Sequence(
          [
              pre_tokenizers.Metaspace(replacement=__UpperCAmelCase     ,					add_prefix_space=__UpperCAmelCase				),
              pre_tokenizers.Digits(individual_digits=__UpperCAmelCase				),
              pre_tokenizers.Punctuation(),
          ]				)
      __UpperCamelCase      =	decoders.Metaspace(replacement=__UpperCAmelCase     ,					add_prefix_space=__UpperCAmelCase				)

      __UpperCamelCase      =	TemplateProcessing(
          single=F'$A {self.special_tokens["eos"]["token"]}'     ,					special_tokens=[(self.special_tokens['eos']['token'], self.special_tokens['eos']['id'])]     ,					)

      __UpperCamelCase      =	{
          'model': 'SentencePieceUnigram',
          'replacement': replacement,
          'add_prefix_space': add_prefix_space,
      }

      super().__init__(__UpperCAmelCase     ,					__UpperCAmelCase				)





     def 						UpperCAmelCase (     self     ,					__UpperCAmelCase     ,					__UpperCAmelCase = 8000     ,					__UpperCAmelCase = True     ,					):

      '''simple docstring'''




      __UpperCamelCase      =	trainers.UnigramTrainer(
          vocab_size=__UpperCAmelCase     ,					special_tokens=self.special_tokens_list     ,					show_progress=__UpperCAmelCase     ,					)

      if isinstance(__UpperCAmelCase     ,					__UpperCAmelCase				):
       __UpperCamelCase      =	[files]
      self._tokenizer.train(__UpperCAmelCase     ,					trainer=__UpperCAmelCase				)

      self.add_unk_id()





     def 						UpperCAmelCase (     self     ,					__UpperCAmelCase     ,					__UpperCAmelCase = 8000     ,					__UpperCAmelCase = True     ,					):

      '''simple docstring'''




      __UpperCamelCase      =	trainers.UnigramTrainer(
          vocab_size=__UpperCAmelCase     ,					special_tokens=self.special_tokens_list     ,					show_progress=__UpperCAmelCase     ,					)

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

      self.add_unk_id()







     def 						UpperCAmelCase (     self				):

      '''simple docstring'''




      __UpperCamelCase      =	json.loads(self._tokenizer.to_str()				)

      __UpperCamelCase      =	self.special_tokens['unk']['id']

      __UpperCamelCase      =	Tokenizer.from_str(json.dumps(__UpperCAmelCase				)				)







"""simple docstring"""

def 							A						(    snake_case				:list[list[int]]    , snake_case				:int    , snake_case				:int    , snake_case				:list[int]		)				->     bool:

 # 1. Validate that path exists between current and next vertices
 if graph[path[curr_ind - 1]][next_ver] == 0:
  return False

 # 2. Validate that next vertex is not already in path
 return not any(vertex == next_ver for vertex in path		)






def 							A						(    snake_case				:list[list[int]]    , snake_case				:list[int]    , snake_case				:int		)				->     bool:

 # Base Case
 if curr_ind == len(snake_case		):
  # return whether path exists between current and starting vertices
  return graph[path[curr_ind - 1]][path[0]] == 1

 # Recursive Step
 for next_ver in range(0    , len(snake_case		)		):
  if valid_connection(snake_case    , snake_case    , snake_case    , snake_case		):
   # Insert current vertex  into path as next transition
   __UpperCamelCase      =	next_ver
   # Validate created path
   if util_hamilton_cycle(snake_case    , snake_case    , curr_ind + 1		):
    return True
   # Backtrack
   __UpperCamelCase      =	-1
 return False






def 							A						(    snake_case				:list[list[int]]    , snake_case				:int = 0		)				->     list[int]:
 __UpperCamelCase      =	[-1] * (len(snake_case		) + 1)
 # initialize start and end of path with starting index
 __UpperCamelCase      =	__UpperCamelCase      =	start_index
 # evaluate and if we find answer return path either return empty array
 return path if util_hamilton_cycle(snake_case    , snake_case    , 1		) else []



