

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


_UpperCAmelCase		:       str						    =	{
    """vocab_file""": """vocab.json""",
    """merges_file""": """merges.txt""",
    """tokenizer_config_file""": """tokenizer_config.json""",
}

_UpperCAmelCase		:       int						    =	{
    """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		:       Optional[int]						    =	{"""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[int]	      =      VOCAB_FILES_NAMES
				__SCREAMING_SNAKE_CASE :			Dict	      =      PRETRAINED_VOCAB_FILES_MAP
				__SCREAMING_SNAKE_CASE :			Dict	      =      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







def  __lowerCamelCase     (			UpperCamelCase__				):







							'''simple docstring'''






							snake_case_          =   len(UpperCamelCase__				)
							for _ in range(UpperCamelCase__				):
														for i in range(_ % 2       ,							arr_size - 1       ,							2				):
																					if arr[i + 1] < arr[i]:
																												snake_case_    ,   snake_case_          =   arr[i + 1], arr[i]

							return arr


if __name__ == "__main__":
					_UpperCAmelCase		:       Dict						    =	list(range(10, 0, -1))
					print(F'''Original: {arr}. Sorted: {odd_even_transposition(arr)}''')




