



from typing import Dict, List, Optional, Tuple

from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...utils import logging


_lowercase:					int      =						logging.get_logger(__name__)



class       _lowercase				(  lowerCAmelCase      ):





	"""simple docstring"""
	__A		      =				["input_ids", "attention_mask"]




	def __init__(self						,			lowerCamelCase_="[PAD]"						,			lowerCamelCase_="[BOS]"						,			lowerCamelCase_="[EOS]"						,			lowerCamelCase_="[MASK]"						,			lowerCamelCase_="[CLS]"						,			lowerCamelCase_="[SEP]"						,			lowerCamelCase_=2048						,			**lowerCamelCase_						,			):
						"""simple docstring"""

						a   	=  AddedToken(lowerCamelCase_						,			lstrip=lowerCamelCase_						,			rstrip=lowerCamelCase_						) if isinstance(lowerCamelCase_						,			lowerCamelCase_						) else pad_token
						a   	=  AddedToken(lowerCamelCase_						,			lstrip=lowerCamelCase_						,			rstrip=lowerCamelCase_						) if isinstance(lowerCamelCase_						,			lowerCamelCase_						) else bos_token
						a   	=  AddedToken(lowerCamelCase_						,			lstrip=lowerCamelCase_						,			rstrip=lowerCamelCase_						) if isinstance(lowerCamelCase_						,			lowerCamelCase_						) else eos_token
						a   	=  AddedToken(lowerCamelCase_						,			lstrip=lowerCamelCase_						,			rstrip=lowerCamelCase_						) if isinstance(lowerCamelCase_						,			lowerCamelCase_						) else mask_token
						a   	=  AddedToken(lowerCamelCase_						,			lstrip=lowerCamelCase_						,			rstrip=lowerCamelCase_						) if isinstance(lowerCamelCase_						,			lowerCamelCase_						) else cls_token
						a   	=  AddedToken(lowerCamelCase_						,			lstrip=lowerCamelCase_						,			rstrip=lowerCamelCase_						) if isinstance(lowerCamelCase_						,			lowerCamelCase_						) else sep_token

						super().__init__(
						    pad_token=lowerCamelCase_						,			bos_token=lowerCamelCase_						,			eos_token=lowerCamelCase_						,			mask_token=lowerCamelCase_						,			cls_token=lowerCamelCase_						,			sep_token=lowerCamelCase_						,			model_max_length=lowerCamelCase_						,			**lowerCamelCase_						,			)

						a   	=  2**8  # utf is 8 bits

						# define special tokens dict
						a   	=  {
						    self.pad_token: 0,
						    self.bos_token: 1,
						    self.eos_token: 2,
						    self.mask_token: 3,
						    self.cls_token: 4,
						    self.sep_token: 5,
						}
						a   	=  len(self.special_tokens_encoder						)
						a   	=  {v: k for k, v in self.special_tokens_encoder.items()}




	def 	UpperCamelCase_			(self						):
						"""simple docstring"""

						a   	=  self.special_tokens_encoder.copy()
						vocab.update(self.added_tokens_encoder						)
						for i in range(self._utf_vocab_size						):
											a   	=  chr(lowerCamelCase_						)
											a   	=  i + len(self.special_tokens_encoder						)
						return vocab




	@property
	def 	UpperCamelCase_			(self						):
						"""simple docstring"""

						return self._utf_vocab_size + self._num_special_tokens




	def 	UpperCamelCase_			(self						,			lowerCamelCase_						,			lowerCamelCase_ = None						,			lowerCamelCase_ = False						):
						"""simple docstring"""

						if already_has_special_tokens:
											return super().get_special_tokens_mask(
											    token_ids_a=lowerCamelCase_						,			token_ids_a=lowerCamelCase_						,			already_has_special_tokens=lowerCamelCase_						)

						# normal case: some special tokens
						if token_ids_a is None:
											return [1] + [0] * len(lowerCamelCase_						) + [1]
						return [1] + ([0] * len(lowerCamelCase_						)) + [1] + ([0] * len(lowerCamelCase_						)) + [1]




	def 	UpperCamelCase_			(self						,			lowerCamelCase_						,			lowerCamelCase_ = None						):
						"""simple docstring"""

						if token_ids_a is None:
											return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
						else:
											return [self.cls_token_id] + token_ids_a + [self.sep_token_id] + token_ids_a + [self.sep_token_id]




	def 	UpperCamelCase_			(self						,			lowerCamelCase_						):
						"""simple docstring"""

						a   	=  [chr(lowerCamelCase_						) for i in text.encode("utf-8"						)]
						return tokens




	def 	UpperCamelCase_			(self						,			lowerCamelCase_						):
						"""simple docstring"""

						if token in self.special_tokens_encoder:
											a   	=  self.special_tokens_encoder[token]
						elif token in self.added_tokens_encoder:
											a   	=  self.added_tokens_encoder[token]
						elif len(lowerCamelCase_						) != 1:
											a   	=  self.unk_token_id
						else:
											a   	=  ord(lowerCamelCase_						) + self._num_special_tokens
						return token_id




	def 	UpperCamelCase_			(self						,			lowerCamelCase_						):
						"""simple docstring"""

						if index in self.special_tokens_decoder:
											a   	=  self.special_tokens_decoder[index]
						elif index in self.added_tokens_decoder:
											a   	=  self.added_tokens_decoder[index]
						else:
											a   	=  chr(index - self._num_special_tokens						)
						return token




	def 	UpperCamelCase_			(self						,			lowerCamelCase_						):
						"""simple docstring"""

						a   	=  B""
						for token in tokens:
											if token in self.special_tokens_decoder:
																a   	=  self.special_tokens_decoder[token].encode("utf-8"						)
											elif token in self.added_tokens_decoder:
																a   	=  self.special_tokens_decoder[token].encode("utf-8"						)
											elif token in self.special_tokens_encoder:
																a   	=  token.encode("utf-8"						)
											elif token in self.added_tokens_encoder:
																a   	=  token.encode("utf-8"						)
											else:
																a   	=  bytes([ord(lowerCamelCase_						)]						)
											bstring += tok_string
						a   	=  bstring.decode("utf-8"						,			errors="replace"						)
						return string




	def 	UpperCamelCase_			(self						,			lowerCamelCase_						,			lowerCamelCase_ = None						):
						"""simple docstring"""

						return ()





from typing import Optional, Tuple

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_openai import OpenAIGPTTokenizer


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

_lowercase:					str      =						{"vocab_file": "vocab.json", "merges_file": "merges.txt", "tokenizer_file": "tokenizer.json"}

_lowercase:					Union[str, Any]      =						{
    "vocab_file": {"openai-gpt": "https://huggingface.co/openai-gpt/resolve/main/vocab.json"},
    "merges_file": {"openai-gpt": "https://huggingface.co/openai-gpt/resolve/main/merges.txt"},
    "tokenizer_file": {"openai-gpt": "https://huggingface.co/openai-gpt/resolve/main/tokenizer.json"},
}

_lowercase:					int      =						{
    "openai-gpt": 512,
}



class       _lowercase				(  lowerCAmelCase      ):





	"""simple docstring"""
	__A		      =				VOCAB_FILES_NAMES
	__A		      =				PRETRAINED_VOCAB_FILES_MAP
	__A		      =				PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
	__A		      =				["input_ids", "attention_mask"]
	__A		      =				OpenAIGPTTokenizer




	def __init__(self						,			lowerCamelCase_=None						,			lowerCamelCase_=None						,			lowerCamelCase_=None						,			lowerCamelCase_="<unk>"						,			**lowerCamelCase_						):
						"""simple docstring"""

						super().__init__(lowerCamelCase_						,			lowerCamelCase_						,			tokenizer_file=lowerCamelCase_						,			unk_token=lowerCamelCase_						,			**lowerCamelCase_						)




	@property
	def 	UpperCamelCase_			(self						):
						"""simple docstring"""

						return True




	def 	UpperCamelCase_			(self						,			lowerCamelCase_						,			lowerCamelCase_ = None						):
						"""simple docstring"""

						a   	=  self._tokenizer.model.save(lowerCamelCase_						,			name=lowerCamelCase_						)
						return tuple(lowerCamelCase_						)
