"""simple docstring"""







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

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


_a	:	Tuple=					logging.get_logger(__name__)

_a	:	Dict=					{
    "vocab_file": "vocab.json",
    "merges_file": "merges.txt",
}

_a	:	Optional[Any]=					{
    "vocab_file": {
        "microsoft/biogpt": "https://huggingface.co/microsoft/biogpt/resolve/main/vocab.json",
    },
    "merges_file": {"microsoft/biogpt": "https://huggingface.co/microsoft/biogpt/resolve/main/merges.txt"},
}

_a	:	Any=					{
    "microsoft/biogpt": 1_024,
}
def     __UpperCAmelCase							(       UpperCAmelCase_       :							Dict    )				->     int:

	'''simple docstring'''





	__snake_case     :				Dict 						=					set()
	__snake_case     :				Any 						=					word[0]
	for char in word[1:]:
		pairs.add((prev_char, char)    )
		__snake_case     :				Any 						=					char
	return pairs

class 						UpperCamelCase     (       lowercase		):
				UpperCAmelCase							: str       =						VOCAB_FILES_NAMES
				UpperCAmelCase							: Optional[int]       =						PRETRAINED_VOCAB_FILES_MAP
				UpperCAmelCase							: Union[str, Any]       =						PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
				UpperCAmelCase							: Union[str, Any]       =						["""input_ids""", """attention_mask"""]



				def __init__(self							: Optional[int]      ,    _A							: List[str]      ,    _A							: List[str]      ,    _A							: Union[str, Any]="<unk>"      ,    _A							: int="<s>"      ,    _A							: Any="</s>"      ,    _A							: str="</s>"      ,    _A							: Optional[int]="<pad>"      ,    **_A							: Optional[Any]      ,    )       ->      int:
					super().__init__(
					    bos_token=_A      ,    eos_token=_A      ,    sep_token=_A      ,    unk_token=_A      ,    pad_token=_A      ,    **_A      ,    )

					try:
						import sacremoses
					except ImportError:
						raise ImportError(
						    'You need to install sacremoses to use BioGptTokenizer. '
						    'See https://pypi.org/project/sacremoses/ for installation.')

					__snake_case     :				Dict 						=					'en'
					__snake_case     :				Optional[int] 						=					sacremoses
					# cache of sm.MosesTokenizer instance
					__snake_case     :				Optional[Any] 						=					{}
					__snake_case     :				Optional[int] 						=					{}
					with open(_A      ,    encoding='utf-8') as vocab_handle:
						__snake_case     :				Optional[Any] 						=					json.load(_A)
					__snake_case     :				Optional[Any] 						=					{v: k for k, v in self.encoder.items()}
					with open(_A      ,    encoding='utf-8') as merges_handle:
						__snake_case     :				str 						=					merges_handle.read().split('\n')[:-1]
					__snake_case     :				Union[str, Any] 						=					[tuple(merge.split()[:2]) for merge in merges]
					__snake_case     :				List[str] 						=					dict(zip(_A      ,    range(len(_A))))
					__snake_case     :				Any 						=					{}



				@property
				def    _lowercase	(self							: List[Any])       ->      Tuple:
					return len(self.encoder)



				def    _lowercase	(self							: Dict)       ->      int:
					return dict(self.encoder      ,    **self.added_tokens_encoder)



				def    _lowercase	(self							: Any      ,    _A							: Any      ,    _A							: List[Any])       ->      Optional[int]:
					if lang not in self.cache_moses_tokenizer:
						__snake_case     :				List[Any] 						=					self.sm.MosesTokenizer(lang=_A)
						__snake_case     :				Optional[Any] 						=					moses_tokenizer
					return self.cache_moses_tokenizer[lang].tokenize(
					    _A      ,    aggressive_dash_splits=_A      ,    return_str=_A      ,    escape=_A)



				def    _lowercase	(self							: int      ,    _A							: Optional[int]      ,    _A							: Optional[Any])       ->      Optional[Any]:
					if lang not in self.cache_moses_detokenizer:
						__snake_case     :				Union[str, Any] 						=					self.sm.MosesDetokenizer(lang=_A)
						__snake_case     :				int 						=					moses_detokenizer
					return self.cache_moses_detokenizer[lang].detokenize(_A)



				def    _lowercase	(self							: Union[str, Any]      ,    _A							: Tuple)       ->      Dict:
					__snake_case     :				List[str] 						=					tuple(token[:-1]) + (token[-1] + '</w>',)
					if token in self.cache:
						return self.cache[token]
					__snake_case     :				Optional[Any] 						=					get_pairs(_A)

					if not pairs:
						return token + "</w>"

					while True:
						__snake_case     :				Tuple 						=					min(_A      ,    key=lambda _A: self.bpe_ranks.get(_A      ,    float('inf')))
						if bigram not in self.bpe_ranks:
							break
						__snake_case						,							__snake_case     :				List[str] 						=					bigram
						__snake_case     :				List[str] 						=					[]
						__snake_case     :				Optional[Any] 						=					0
						while i < len(_A):
							try:
								__snake_case     :				Dict 						=					word.index(_A      ,    _A)
							except ValueError:
								new_word.extend(word[i:])
								break
							else:
								new_word.extend(word[i:j])
								__snake_case     :				Optional[int] 						=					j

							if word[i] == first and i < len(_A) - 1 and word[i + 1] == second:
								new_word.append(first + second)
								i += 2
							else:
								new_word.append(word[i])
								i += 1
						__snake_case     :				List[str] 						=					tuple(_A)
						__snake_case     :				Union[str, Any] 						=					new_word
						if len(_A) == 1:
							break
						else:
							__snake_case     :				Dict 						=					get_pairs(_A)
					__snake_case     :				Optional[int] 						=					' '.join(_A)
					if word == "\n  </w>":
						__snake_case     :				Any 						=					'\n</w>'
					__snake_case     :				List[str] 						=					word
					return word



				def    _lowercase	(self							: Any      ,    _A							: Tuple      ,    _A							: str=False)       ->      str:
					if bypass_tokenizer:
						__snake_case     :				Optional[int] 						=					text.split()
					else:
						__snake_case     :				Any 						=					self.moses_tokenize(_A      ,    self.lang)

					__snake_case     :				str 						=					[]
					for token in text:
						if token:
							split_tokens.extend(list(self.bpe(_A).split(' ')))

					return split_tokens



				def    _lowercase	(self							: Optional[int]      ,    _A							: List[str])       ->      Union[str, Any]:
					return self.encoder.get(_A      ,    self.encoder.get(self.unk_token))



				def    _lowercase	(self							: Tuple      ,    _A							: Union[str, Any])       ->      Optional[Any]:
					return self.decoder.get(_A      ,    self.unk_token)



				def    _lowercase	(self							: Any      ,    _A							: Tuple)       ->      Union[str, Any]:
					__snake_case     :				Dict 						=					[t.replace(' '      ,    '').replace('</w>'      ,    ' ') for t in tokens]
					__snake_case     :				Dict 						=					''.join(_A).split()
					# detokenize
					__snake_case     :				Dict 						=					self.moses_detokenize(_A      ,    self.lang)
					return text



				def    _lowercase	(self							: Optional[int]      ,    _A							: List[int]      ,    _A							: Optional[List[int]] = None)       ->      List[int]:
					if token_ids_a is None:
						return [self.sep_token_id] + token_ids_a
					__snake_case     :				List[Any] 						=					[self.sep_token_id]
					return sep + token_ids_a + sep + token_ids_a



				def    _lowercase	(self							: Tuple      ,    _A							: List[int]      ,    _A							: Optional[List[int]] = None      ,    _A							: bool = False)       ->      List[int]:
					if already_has_special_tokens:
						return super().get_special_tokens_mask(
						    token_ids_a=_A      ,    token_ids_a=_A      ,    already_has_special_tokens=_A)
					# no bos used in fairseq
					if token_ids_a is not None:
						return [1] + ([0] * len(_A)) + [1] + ([0] * len(_A))
					return [1] + ([0] * len(_A))



				def    _lowercase	(self							: List[str]      ,    _A							: List[int]      ,    _A							: Optional[List[int]] = None)       ->      List[int]:
					__snake_case     :				List[Any] 						=					[self.sep_token_id]

					# no bos used in fairseq
					if token_ids_a is None:
						return len(token_ids_a + sep) * [0]
					return len(token_ids_a + sep) * [0] + len(token_ids_a + sep) * [1]



				def    _lowercase	(self							: Tuple      ,    _A							: str      ,    _A							: Optional[str] = None)       ->      Tuple[str]:
					if not os.path.isdir(_A):
						logger.error(f"Vocabulary path ({save_directory}) should be a directory")
						return
					__snake_case     :				List[str] 						=					os.path.join(
					    _A      ,    (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file'])
					__snake_case     :				List[str] 						=					os.path.join(
					    _A      ,    (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['merges_file'])

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

					__snake_case     :				Optional[int] 						=					0
					with open(_A      ,    'w'      ,    encoding='utf-8') as writer:
						for bpe_tokens, token_index in sorted(self.bpe_ranks.items()      ,    key=lambda _A: 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     :				Tuple 						=					token_index
							writer.write(' '.join(_A) + '\n')
							index += 1

					return vocab_file, merge_file



				def __getstate__(self							: Optional[int])       ->      Optional[int]:
					__snake_case     :				List[str] 						=					self.__dict__.copy()
					__snake_case     :				Optional[int] 						=					None
					return state






				def __setstate__(self							: Optional[Any]      ,    _A							: int)       ->      Union[str, Any]:
					__snake_case     :				Optional[Any] 						=					d

					try:
						import sacremoses
					except ImportError:
						raise ImportError(
						    'You need to install sacremoses to use XLMTokenizer. '
						    'See https://pypi.org/project/sacremoses/ for installation.')

					__snake_case     :				Optional[int] 						=					sacremoses






"""simple docstring"""







def     __UpperCAmelCase							(       UpperCAmelCase_       :							str    )				->     str:

	'''simple docstring'''





	return " ".join(sorted(set(sentence.split()    )    )    )


if __name__ == "__main__":
	import doctest

	doctest.testmod()





