



from typing import Dict, List, Optional, Tuple

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


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


class  _lowercase				(a_ ):
				'''simple docstring'''







				lowercase__				  =  ["""input_ids""", """attention_mask"""]

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

									'''simple docstring'''


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

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

									UpperCamelCase_											=				2**8  # utf is 8 bits

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

				def  _lowerCamelCase   (	self      ):

									'''simple docstring'''


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

				@property
				def  _lowerCamelCase   (	self      ):

									'''simple docstring'''


									return self._utf_vocab_size + self._num_special_tokens

				def  _lowerCamelCase   (	self       ,	snake_case__       ,	snake_case__ = None       ,	snake_case__ = False      ):

									'''simple docstring'''


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

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

				def  _lowerCamelCase   (	self       ,	snake_case__       ,	snake_case__ = 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  _lowerCamelCase   (	self       ,	snake_case__      ):

									'''simple docstring'''


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

				def  _lowerCamelCase   (	self       ,	snake_case__      ):

									'''simple docstring'''


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

				def  _lowerCamelCase   (	self       ,	snake_case__      ):

									'''simple docstring'''


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

				def  _lowerCamelCase   (	self       ,	snake_case__      ):

									'''simple docstring'''


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

				def  _lowerCamelCase   (	self       ,	snake_case__       ,	snake_case__ = None      ):

									'''simple docstring'''


									return ()





from transformers import HfArgumentParser, PyTorchBenchmark, PyTorchBenchmarkArguments



def 				_lowerCAmelCase      ():
					UpperCamelCase_											=				HfArgumentParser(_lowerCAmelCase)
					try:
										UpperCamelCase_											=				parser.parse_args_into_dataclasses()[0]
					except ValueError as e:
										UpperCamelCase_											=				"Arg --no_{0} is no longer used, please use --no-{0} instead."
										UpperCamelCase_											=				" ".join(str(_lowerCAmelCase).split(" ")[:-1])
										UpperCamelCase_											=				""
										UpperCamelCase_											=				eval(str(_lowerCAmelCase).split(" ")[-1])
										UpperCamelCase_											=				[]
										for arg in depreciated_args:
															# arg[2:] removes '--'
															if arg[2:] in PyTorchBenchmarkArguments.deprecated_args:
																				# arg[5:] removes '--no_'
																				full_error_msg += arg_error_msg.format(arg[5:])
															else:
																				wrong_args.append(_lowerCAmelCase)
										if len(_lowerCAmelCase) > 0:
															UpperCamelCase_											=				full_error_msg + begin_error_msg + str(_lowerCAmelCase)
										raise ValueError(_lowerCAmelCase)

					UpperCamelCase_											=				PyTorchBenchmark(args=_lowerCAmelCase)
					benchmark.run()


if __name__ == "__main__":
	main()
