



'''simple docstring'''
from ..utils import DummyObject, requires_backends


class 	SCREAMING_SNAKE_CASE__					( metaclass=lowercase_       ):
	"""simple docstring"""


	A__     :     Optional[int]    =					['''torch''', '''torchsde''']


	def __init__(		self       , *A       , **A      )			->				Any:
				requires_backends(self       , ["""torch""", """torchsde"""]      )


	@classmethod
	def   a__			(		cls       , *A       , **A      )			->				Union[str, Any]:
				requires_backends(cls       , ["""torch""", """torchsde"""]      )





	@classmethod
	def   a__			(		cls       , *A       , **A      )			->				Optional[int]:
				requires_backends(cls       , ["""torch""", """torchsde"""]      )








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

import regex as re

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


_UpperCAmelCase						:  Tuple									=			logging.get_logger(__name__)


_UpperCAmelCase						:  Optional[int]									=			{
    """vocab_file""": """vocab.json""",
    """merges_file""": """merges.txt""",
    """tokenizer_config_file""": """tokenizer_config.json""",
}

_UpperCAmelCase						:  Union[str, 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"""
        )
    },
}

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





def    __lowerCamelCase      (					UpperCamelCase__ ):







							'''simple docstring'''






							snake_case_     							=       set()
							snake_case_     							=       word[0]
							for char in word[1:]:
														pairs.add((prev_char, char) )
														snake_case_     							=       char

							snake_case_     							=       set(UpperCamelCase__ )
							return pairs







class 					lowercase							(			lowercase_     ):
				__SCREAMING_SNAKE_CASE   :					Optional[Any]			     =     VOCAB_FILES_NAMES
				__SCREAMING_SNAKE_CASE   :					Any			     =     PRETRAINED_VOCAB_FILES_MAP
				__SCREAMING_SNAKE_CASE   :					str			     =     PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
				__SCREAMING_SNAKE_CASE   :					Optional[int]			     =     ['''input_ids''', '''attention_mask''']




				def __init__(   self ,  snake_case ,  snake_case ,  snake_case="__start__" ,  snake_case="__end__" ,  snake_case="__unk__" ,  snake_case="__null__" ,  **snake_case ,  ):
											super().__init__(unk_token=snake_case ,  bos_token=snake_case ,  eos_token=snake_case ,  pad_token=snake_case ,  **snake_case			)

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




				@property
				def        a				(   self			):
											return len(self.encoder			)




				def        a				(   self			):
											return dict(self.encoder ,  **self.added_tokens_encoder			)




				def        a				(   self ,  snake_case			):
											if token in self.cache:
																		return self.cache[token]
											snake_case_     							=       re.sub('([.,!?()])' ,  R' \1' ,  snake_case			)
											snake_case_     							=       re.sub('(\')' ,  R' \1 ' ,  snake_case			)
											snake_case_     							=       re.sub(R'\s{2,}' ,  ' ' ,  snake_case			)
											if "\n" in token:
																		snake_case_     							=       token.replace('\n' ,  ' __newln__'			)

											snake_case_     							=       token.split(' '			)
											snake_case_     							=       []
											for token in tokens:
																		if not len(snake_case			):
																									continue

																		snake_case_     							=       token.lower()
																		snake_case_     							=       tuple(snake_case			)
																		snake_case_     							=       tuple(list(word[:-1]			) + [word[-1] + '</w>']			)
																		snake_case_     							=       get_pairs(snake_case			)

																		if not pairs:
																									words.append(snake_case			)
																									continue

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

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

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

																		snake_case_     							=       word
																		words.append(snake_case			)
											return " ".join(snake_case			)




				def        a				(   self ,  snake_case			):
											snake_case_     							=       []

											snake_case_     							=       re.findall(R'\S+\n?' ,  snake_case			)

											for token in words:
																		split_tokens.extend(list(self.bpe(snake_case			).split(' '			)			)			)
											return split_tokens




				def        a				(   self ,  snake_case			):
											snake_case_     							=       token.lower()
											return self.encoder.get(snake_case ,  self.encoder.get(self.unk_token			)			)




				def        a				(   self ,  snake_case			):
											return self.decoder.get(snake_case ,  self.unk_token			)




				def        a				(   self ,  snake_case			):
											snake_case_     							=       ' '.join(snake_case			).replace('@@ ' ,  ''			).strip()
											return out_string




				def        a				(   self ,  snake_case ,  snake_case = None			):
											if not os.path.isdir(snake_case			):
																		logger.error(F'''Vocabulary path ({save_directory}) should be a directory'''			)
																		return
											snake_case_     							=       os.path.join(
											    snake_case ,  (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']			)
											snake_case_     							=       os.path.join(
											    snake_case ,  (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['merges_file']			)

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

											snake_case_     							=       0
											with open(snake_case ,  '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 snake_case			: 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!'			)
																																snake_case_     							=       token_index
																									writer.write(' '.join(snake_case			) + '\n'			)
																									index += 1

											return vocab_file, merge_file




