



'''simple docstring'''


import json
import os
from typing import Dict, List, Optional, Tuple

import regex as re

from ...tokenization_utils import PreTrainedTokenizer
from ...utils import logging


lowercase_      :				Tuple   					=    logging.get_logger(__name__)


lowercase_      :				Dict   					=    {
    '''vocab_file''': '''vocab.json''',
    '''merges_file''': '''merges.txt''',
    '''tokenizer_config_file''': '''tokenizer_config.json''',
}

lowercase_      :				Optional[Any]   					=    {
    '''vocab_file''': {
        '''facebook/blenderbot_small-90M''': '''https://huggingface.co/facebook/blenderbot_small-90M/resolve/main/vocab.json'''
    },
    '''merges_file''': {
        '''facebook/blenderbot_small-90M''': '''https://huggingface.co/facebook/blenderbot_small-90M/resolve/main/merges.txt'''
    },
    '''tokenizer_config_file''': {
        '''facebook/blenderbot_small-90M''': (
            '''https://huggingface.co/facebook/blenderbot_small-90M/resolve/main/tokenizer_config.json'''
        )
    },
}

lowercase_      :				Union[str, Any]   					=    {'''facebook/blenderbot_small-90M''': 512}







def      SCREAMING_SNAKE_CASE				(				lowercase_    :      Optional[Any]						):
						lowercase        =							set()
						lowercase        =							word[0]
						for char in word[1:]:
												pairs.add((prev_char, char)						)
												lowercase        =							char

						lowercase        =							set(lowercase_						)
						return pairs




class      __UpperCamelCase       (_UpperCAmelCase			):
	__A			  =					VOCAB_FILES_NAMES
	__A			  =					PRETRAINED_VOCAB_FILES_MAP
	__A			  =					PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
	__A			  =					['''input_ids''', '''attention_mask''']







	def __init__(    self ,				_lowerCAmelCase ,				_lowerCAmelCase ,				_lowerCAmelCase="__start__" ,				_lowerCAmelCase="__end__" ,				_lowerCAmelCase="__unk__" ,				_lowerCAmelCase="__null__" ,				**_lowerCAmelCase ,				)    ->    Optional[int]:
							'''simple docstring'''






							super().__init__(unk_token=_lowerCAmelCase ,				bos_token=_lowerCAmelCase ,				eos_token=_lowerCAmelCase ,				pad_token=_lowerCAmelCase ,				**_lowerCAmelCase						)

							with open(_lowerCAmelCase ,				encoding="""utf-8"""						) as vocab_handle:
													lowercase        =							json.load(_lowerCAmelCase						)
							lowercase        =							{v: k for k, v in self.encoder.items()}
							with open(_lowerCAmelCase ,				encoding="""utf-8"""						) as merges_handle:
													lowercase        =							merges_handle.read().split("""\n"""						)[1:-1]
							lowercase        =							[tuple(merge.split()						) for merge in merges]
							lowercase        =							dict(zip(_lowerCAmelCase ,				range(len(_lowerCAmelCase						)						)						)						)
							lowercase        =							{}







	@property
	def   _a   (    self						)    ->    int:
							'''simple docstring'''






							return len(self.encoder						)







	def   _a   (    self						)    ->    Dict:
							'''simple docstring'''






							return dict(self.encoder ,				**self.added_tokens_encoder						)







	def   _a   (    self ,				_lowerCAmelCase						)    ->    str:
							'''simple docstring'''






							if token in self.cache:
													return self.cache[token]
							lowercase        =							re.sub("""([.,!?()])""" ,				r""" \1""" ,				_lowerCAmelCase						)
							lowercase        =							re.sub("""(')""" ,				r""" \1 """ ,				_lowerCAmelCase						)
							lowercase        =							re.sub(r"""\s{2,}""" ,				""" """ ,				_lowerCAmelCase						)
							if "\n" in token:
													lowercase        =							token.replace("""\n""" ,				""" __newln__"""						)

							lowercase        =							token.split(""" """						)
							lowercase        =							[]
							for token in tokens:
													if not len(_lowerCAmelCase						):
																			continue

													lowercase        =							token.lower()
													lowercase        =							tuple(_lowerCAmelCase						)
													lowercase        =							tuple(list(word[:-1]						) + [word[-1] + """</w>"""]						)
													lowercase        =							get_pairs(_lowerCAmelCase						)

													if not pairs:
																			words.append(_lowerCAmelCase						)
																			continue

													while True:
																			lowercase        =							min(_lowerCAmelCase ,				key=lambda _lowerCAmelCase						: self.bpe_ranks.get(_lowerCAmelCase ,				float("""inf"""						)						)						)
																			if bigram not in self.bpe_ranks:
																									break
																			lowercase     ,   lowercase        =							bigram
																			lowercase        =							[]
																			lowercase        =							0

																			while i < len(_lowerCAmelCase						):
																									try:
																															lowercase        =							word.index(_lowerCAmelCase ,				_lowerCAmelCase						)
																															new_word.extend(word[i:j]						)
																															lowercase        =							j
																									except ValueError:
																															new_word.extend(word[i:]						)
																															break

																									if word[i] == first and i < len(_lowerCAmelCase						) - 1 and word[i + 1] == second:
																															new_word.append(first + second						)
																															i += 2
																									else:
																															new_word.append(word[i]						)
																															i += 1
																			lowercase        =							tuple(_lowerCAmelCase						)
																			lowercase        =							new_word
																			if len(_lowerCAmelCase						) == 1:
																									break
																			else:
																									lowercase        =							get_pairs(_lowerCAmelCase						)
													lowercase        =							"""@@ """.join(_lowerCAmelCase						)
													lowercase        =							word[:-4]

													lowercase        =							word
													words.append(_lowerCAmelCase						)
							return " ".join(_lowerCAmelCase						)







	def   _a   (    self ,				_lowerCAmelCase						)    ->    List[str]:
							'''simple docstring'''






							lowercase        =							[]

							lowercase        =							re.findall(r"""\S+\n?""" ,				_lowerCAmelCase						)

							for token in words:
													split_tokens.extend(list(self.bpe(_lowerCAmelCase						).split(""" """						)						)						)
							return split_tokens







	def   _a   (    self ,				_lowerCAmelCase						)    ->    int:
							'''simple docstring'''






							lowercase        =							token.lower()
							return self.encoder.get(_lowerCAmelCase ,				self.encoder.get(self.unk_token						)						)







	def   _a   (    self ,				_lowerCAmelCase						)    ->    str:
							'''simple docstring'''






							return self.decoder.get(_lowerCAmelCase ,				self.unk_token						)







	def   _a   (    self ,				_lowerCAmelCase						)    ->    str:
							'''simple docstring'''






							lowercase        =							""" """.join(_lowerCAmelCase						).replace("""@@ """ ,				""""""						).strip()
							return out_string







	def   _a   (    self ,				_lowerCAmelCase ,				_lowerCAmelCase = None						)    ->    Tuple[str]:
							'''simple docstring'''






							if not os.path.isdir(_lowerCAmelCase						):
													logger.error(F"""Vocabulary path ({save_directory}) should be a directory"""						)
													return
							lowercase        =							os.path.join(
							    _lowerCAmelCase ,				(filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""]						)
							lowercase        =							os.path.join(
							    _lowerCAmelCase ,				(filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""merges_file"""]						)

							with open(_lowerCAmelCase ,				"""w""" ,				encoding="""utf-8"""						) as f:
													f.write(json.dumps(self.encoder ,				indent=2 ,				sort_keys=_lowerCAmelCase ,				ensure_ascii=_lowerCAmelCase						) + """\n"""						)

							lowercase        =							0
							with open(_lowerCAmelCase ,				"""w""" ,				encoding="""utf-8"""						) as writer:
													writer.write("""#version: 0.2\n"""						)
													for bpe_tokens, token_index in sorted(self.bpe_ranks.items() ,				key=lambda _lowerCAmelCase						: kv[1]						):
																			if index != token_index:
																									logger.warning(
																									    F"""Saving vocabulary to {merge_file}: BPE merge indices are not consecutive."""
																									    """ Please check that the tokenizer is not corrupted!"""						)
																									lowercase        =							token_index
																			writer.write(""" """.join(_lowerCAmelCase						) + """\n"""						)
																			index += 1

							return vocab_file, merge_file







'''simple docstring'''


import os







def      SCREAMING_SNAKE_CASE				(				):
						lowercase        =							os.path.join(os.path.dirname(lowercase_						) ,  """num.txt"""						)
						with open(lowercase_						) as file_hand:
												return str(sum(int(lowercase_						) for line in file_hand						)						)[:10]


if __name__ == "__main__":
						print(solution())


