



"""simple docstring"""
import json
from typing import List, Optional, Tuple

from tokenizers import normalizers

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_splinter import SplinterTokenizer


__SCREAMING_SNAKE_CASE     :  List[str]										=					logging.get_logger(__name__)

__SCREAMING_SNAKE_CASE     :  str										=					{'''vocab_file''': '''vocab.txt'''}

__SCREAMING_SNAKE_CASE     :  Optional[int]										=					{
    '''vocab_file''': {
        '''tau/splinter-base''': '''https://huggingface.co/tau/splinter-base/resolve/main/vocab.txt''',
        '''tau/splinter-base-qass''': '''https://huggingface.co/tau/splinter-base-qass/resolve/main/vocab.txt''',
        '''tau/splinter-large''': '''https://huggingface.co/tau/splinter-large/resolve/main/vocab.txt''',
        '''tau/splinter-large-qass''': '''https://huggingface.co/tau/splinter-large-qass/resolve/main/vocab.txt''',
    }
}

__SCREAMING_SNAKE_CASE     :  List[str]										=					{
    '''tau/splinter-base''': 5_1_2,
    '''tau/splinter-base-qass''': 5_1_2,
    '''tau/splinter-large''': 5_1_2,
    '''tau/splinter-large-qass''': 5_1_2,
}

__SCREAMING_SNAKE_CASE     :  Any										=					{
    '''tau/splinter-base''': {'''do_lower_case''': False},
    '''tau/splinter-base-qass''': {'''do_lower_case''': False},
    '''tau/splinter-large''': {'''do_lower_case''': False},
    '''tau/splinter-large-qass''': {'''do_lower_case''': False},
}


class 							lowerCamelCase_(      A__			):





					'''simple docstring'''



					lowercase__      :				List[str]        =       VOCAB_FILES_NAMES
					lowercase__      :				Any        =       PRETRAINED_VOCAB_FILES_MAP
					lowercase__      :				int        =       PRETRAINED_INIT_CONFIGURATION
					lowercase__      :				Tuple        =       PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
					lowercase__      :				int        =       SplinterTokenizer

					def __init__(			self ,				lowerCamelCase__=None ,				lowerCamelCase__=None ,				lowerCamelCase__=True ,				lowerCamelCase__="[UNK]" ,				lowerCamelCase__="[SEP]" ,				lowerCamelCase__="[PAD]" ,				lowerCamelCase__="[CLS]" ,				lowerCamelCase__="[MASK]" ,				lowerCamelCase__="[QUESTION]" ,				lowerCamelCase__=True ,				lowerCamelCase__=None ,				**lowerCamelCase__ ,				):
									super().__init__(
									    lowerCamelCase__ ,				tokenizer_file=lowerCamelCase__ ,				do_lower_case=lowerCamelCase__ ,				unk_token=lowerCamelCase__ ,				sep_token=lowerCamelCase__ ,				pad_token=lowerCamelCase__ ,				cls_token=lowerCamelCase__ ,				mask_token=lowerCamelCase__ ,				tokenize_chinese_chars=lowerCamelCase__ ,				strip_accents=lowerCamelCase__ ,				additional_special_tokens=(question_token,) ,				**lowerCamelCase__ ,				)

									_lowerCamelCase					     = json.loads(self.backend_tokenizer.normalizer.__getstate__()      )
									if (
									    pre_tok_state.get('''lowercase''' ,				lowerCamelCase__      ) != do_lower_case
									    or pre_tok_state.get('''strip_accents''' ,				lowerCamelCase__      ) != strip_accents
									):
													_lowerCamelCase					     = getattr(lowerCamelCase__ ,				pre_tok_state.pop('''type'''      )      )
													_lowerCamelCase					     = do_lower_case
													_lowerCamelCase					     = strip_accents
													_lowerCamelCase					     = pre_tok_class(**lowerCamelCase__      )

									_lowerCamelCase					     = do_lower_case

					@property
					def 	snake_case__					(			self      ):
									return self.convert_tokens_to_ids(self.question_token      )

					def 	snake_case__					(			self ,				lowerCamelCase__ ,				lowerCamelCase__ = None      ):
									if token_ids_a is None:
													return [self.cls_token_id] + token_ids_a + [self.sep_token_id]

									_lowerCamelCase					     = [self.cls_token_id]
									_lowerCamelCase					     = [self.sep_token_id]
									_lowerCamelCase					     = [self.question_token_id] + [self.convert_tokens_to_ids('''.'''      )]
									if self.padding_side == "right":
													# Input is question-then-context
													return cls + token_ids_a + question_suffix + sep + token_ids_a + sep
									else:
													# Input is context-then-question
													return cls + token_ids_a + sep + token_ids_a + question_suffix + sep

					def 	snake_case__					(			self ,				lowerCamelCase__ ,				lowerCamelCase__ = None      ):
									_lowerCamelCase					     = [self.sep_token_id]
									_lowerCamelCase					     = [self.cls_token_id]
									_lowerCamelCase					     = [self.question_token_id] + [self.convert_tokens_to_ids('''.'''      )]
									if token_ids_a is None:
													return len(cls + token_ids_a + sep      ) * [0]

									if self.padding_side == "right":
													# Input is question-then-context
													return len(cls + token_ids_a + question_suffix + sep      ) * [0] + len(token_ids_a + sep      ) * [1]
									else:
													# Input is context-then-question
													return len(cls + token_ids_a + sep      ) * [0] + len(token_ids_a + question_suffix + sep      ) * [1]





					def 	snake_case__					(			self ,				lowerCamelCase__ ,				lowerCamelCase__ = None      ):
									_lowerCamelCase					     = self._tokenizer.model.save(lowerCamelCase__ ,				name=lowerCamelCase__      )
									return tuple(lowerCamelCase__      )





"""simple docstring"""
def 				lowerCAmelCase_(      lowercase_   :							str  ,      lowercase_   :							str							)		->				int:
				# The longer word should come first
				if len(lowercase_							) < len(lowercase_							):
								return levenshtein_distance(lowercase_  ,      lowercase_							)

				if len(lowercase_							) == 0:
								return len(lowercase_							)

				_lowerCamelCase					     = list(range(len(lowercase_							) + 1							)							)

				for i, ca in enumerate(lowercase_							):
								_lowerCamelCase					     = [i + 1]

								for j, ca in enumerate(lowercase_							):
												# Calculate insertions, deletions and substitutions
												_lowerCamelCase					     = previous_row[j + 1] + 1
												_lowerCamelCase					     = current_row[j] + 1
												_lowerCamelCase					     = previous_row[j] + (ca != ca)

												# Get the minimum to append to the current row
												current_row.append(min(lowercase_  ,      lowercase_  ,      lowercase_							)							)

								# Store the previous row
								_lowerCamelCase					     = current_row

				# Returns the last element (distance)
				return previous_row[-1]


if __name__ == "__main__":
			__SCREAMING_SNAKE_CASE     :  int										=					input('''Enter the first word:\n''').strip()
			__SCREAMING_SNAKE_CASE     :  Optional[Any]										=					input('''Enter the second word:\n''').strip()

			__SCREAMING_SNAKE_CASE     :  Optional[Any]										=					levenshtein_distance(first_word, second_word)
			print(F"""Levenshtein distance between {first_word} and {second_word} is {result}""")
