code: from typing import Dict, List, Optional, Tuple
  
  from ...tokenization_utils import AddedToken, PreTrainedTokenizer
  from ...utils import logging
  
  
  lowercase__    :       Optional[int]						=			logging.get_logger(__name__)
  
  
  
  
  class      lowercase_						(						UpperCamelCase_		):
  
  
  
  	"""simple docstring"""
  
  
  
  
  
  	UpperCAmelCase_						:      List[Any]     =       ["""input_ids""", """attention_mask"""]
  
  
  	def __init__(							self	,    __SCREAMING_SNAKE_CASE="[PAD]"	,    __SCREAMING_SNAKE_CASE="[BOS]"	,    __SCREAMING_SNAKE_CASE="[EOS]"	,    __SCREAMING_SNAKE_CASE="[MASK]"	,    __SCREAMING_SNAKE_CASE="[CLS]"	,    __SCREAMING_SNAKE_CASE="[SEP]"	,    __SCREAMING_SNAKE_CASE=2048	,    **__SCREAMING_SNAKE_CASE	,    )		->None:
  								lowerCAmelCase				=	AddedToken(__SCREAMING_SNAKE_CASE	,    lstrip=__SCREAMING_SNAKE_CASE	,    rstrip=__SCREAMING_SNAKE_CASE       ) if isinstance(__SCREAMING_SNAKE_CASE	,    __SCREAMING_SNAKE_CASE       ) else pad_token
  								lowerCAmelCase				=	AddedToken(__SCREAMING_SNAKE_CASE	,    lstrip=__SCREAMING_SNAKE_CASE	,    rstrip=__SCREAMING_SNAKE_CASE       ) if isinstance(__SCREAMING_SNAKE_CASE	,    __SCREAMING_SNAKE_CASE       ) else bos_token
  								lowerCAmelCase				=	AddedToken(__SCREAMING_SNAKE_CASE	,    lstrip=__SCREAMING_SNAKE_CASE	,    rstrip=__SCREAMING_SNAKE_CASE       ) if isinstance(__SCREAMING_SNAKE_CASE	,    __SCREAMING_SNAKE_CASE       ) else eos_token
  								lowerCAmelCase				=	AddedToken(__SCREAMING_SNAKE_CASE	,    lstrip=__SCREAMING_SNAKE_CASE	,    rstrip=__SCREAMING_SNAKE_CASE       ) if isinstance(__SCREAMING_SNAKE_CASE	,    __SCREAMING_SNAKE_CASE       ) else mask_token
  								lowerCAmelCase				=	AddedToken(__SCREAMING_SNAKE_CASE	,    lstrip=__SCREAMING_SNAKE_CASE	,    rstrip=__SCREAMING_SNAKE_CASE       ) if isinstance(__SCREAMING_SNAKE_CASE	,    __SCREAMING_SNAKE_CASE       ) else cls_token
  								lowerCAmelCase				=	AddedToken(__SCREAMING_SNAKE_CASE	,    lstrip=__SCREAMING_SNAKE_CASE	,    rstrip=__SCREAMING_SNAKE_CASE       ) if isinstance(__SCREAMING_SNAKE_CASE	,    __SCREAMING_SNAKE_CASE       ) else sep_token
  
  								super().__init__(
  								    pad_token=__SCREAMING_SNAKE_CASE	,    bos_token=__SCREAMING_SNAKE_CASE	,    eos_token=__SCREAMING_SNAKE_CASE	,    mask_token=__SCREAMING_SNAKE_CASE	,    cls_token=__SCREAMING_SNAKE_CASE	,    sep_token=__SCREAMING_SNAKE_CASE	,    model_max_length=__SCREAMING_SNAKE_CASE	,    **__SCREAMING_SNAKE_CASE	,    )
  
  								lowerCAmelCase				=	2**8  # utf is 8 bits
  
  								# define special tokens dict
  								lowerCAmelCase				=	{
  								    self.pad_token: 0,
  								    self.bos_token: 1,
  								    self.eos_token: 2,
  								    self.mask_token: 3,
  								    self.cls_token: 4,
  								    self.sep_token: 5,
  								}
  								lowerCAmelCase				=	len(self.special_tokens_encoder       )
  								lowerCAmelCase				=	{v: k for k, v in self.special_tokens_encoder.items()}
  
  
  	def     SCREAMING_SNAKE_CASE_       (							self       )		->Dict[str, int]:
  								lowerCAmelCase				=	self.special_tokens_encoder.copy()
  								vocab.update(self.added_tokens_encoder       )
  								for i in range(self._utf_vocab_size       ):
  															lowerCAmelCase				=	chr(__SCREAMING_SNAKE_CASE       )
  															lowerCAmelCase				=	i + len(self.special_tokens_encoder       )
  								return vocab
  
  
  	@property
  	def     SCREAMING_SNAKE_CASE_       (							self       )		->Any:
  								return self._utf_vocab_size + self._num_special_tokens
  
  
  	def     SCREAMING_SNAKE_CASE_       (							self	,    __SCREAMING_SNAKE_CASE	,    __SCREAMING_SNAKE_CASE = None	,    __SCREAMING_SNAKE_CASE = False       )		->List[int]:
  								if already_has_special_tokens:
  															return super().get_special_tokens_mask(
  															    token_ids_a=__SCREAMING_SNAKE_CASE	,    token_ids_a=__SCREAMING_SNAKE_CASE	,    already_has_special_tokens=__SCREAMING_SNAKE_CASE       )
  
  								# normal case: some special tokens
  								if token_ids_a is None:
  															return [1] + [0] * len(__SCREAMING_SNAKE_CASE       ) + [1]
  								return [1] + ([0] * len(__SCREAMING_SNAKE_CASE       )) + [1] + ([0] * len(__SCREAMING_SNAKE_CASE       )) + [1]
  
  
  	def     SCREAMING_SNAKE_CASE_       (							self	,    __SCREAMING_SNAKE_CASE	,    __SCREAMING_SNAKE_CASE = None       )		->List[int]:
  								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     SCREAMING_SNAKE_CASE_       (							self	,    __SCREAMING_SNAKE_CASE       )		->List[str]:
  								lowerCAmelCase				=	[chr(__SCREAMING_SNAKE_CASE       ) for i in text.encode('''utf-8'''       )]
  								return tokens
  
  
  	def     SCREAMING_SNAKE_CASE_       (							self	,    __SCREAMING_SNAKE_CASE       )		->List[Any]:
  								if token in self.special_tokens_encoder:
  															lowerCAmelCase				=	self.special_tokens_encoder[token]
  								elif token in self.added_tokens_encoder:
  															lowerCAmelCase				=	self.added_tokens_encoder[token]
  								elif len(__SCREAMING_SNAKE_CASE       ) != 1:
  															lowerCAmelCase				=	self.unk_token_id
  								else:
  															lowerCAmelCase				=	ord(__SCREAMING_SNAKE_CASE       ) + self._num_special_tokens
  								return token_id
  
  
  	def     SCREAMING_SNAKE_CASE_       (							self	,    __SCREAMING_SNAKE_CASE       )		->List[str]:
  								if index in self.special_tokens_decoder:
  															lowerCAmelCase				=	self.special_tokens_decoder[index]
  								elif index in self.added_tokens_decoder:
  															lowerCAmelCase				=	self.added_tokens_decoder[index]
  								else:
  															lowerCAmelCase				=	chr(index - self._num_special_tokens       )
  								return token
  
  
  	def     SCREAMING_SNAKE_CASE_       (							self	,    __SCREAMING_SNAKE_CASE       )		->Tuple:
  								lowerCAmelCase				=	b''''''
  								for token in tokens:
  															if token in self.special_tokens_decoder:
  																						lowerCAmelCase				=	self.special_tokens_decoder[token].encode('''utf-8'''       )
  															elif token in self.added_tokens_decoder:
  																						lowerCAmelCase				=	self.special_tokens_decoder[token].encode('''utf-8'''       )
  															elif token in self.special_tokens_encoder:
  																						lowerCAmelCase				=	token.encode('''utf-8'''       )
  															elif token in self.added_tokens_encoder:
  																						lowerCAmelCase				=	token.encode('''utf-8'''       )
  															else:
  																						lowerCAmelCase				=	bytes([ord(__SCREAMING_SNAKE_CASE       )]       )
  															bstring += tok_string
  								lowerCAmelCase				=	bstring.decode('''utf-8'''	,    errors='''replace'''       )
  								return string
  
  
  
  
  	def     SCREAMING_SNAKE_CASE_       (							self	,    __SCREAMING_SNAKE_CASE	,    __SCREAMING_SNAKE_CASE = None       )		->Tuple[str]:
  								return ()
  
  
  
  
style_context: import torch
  
  from accelerate import Accelerator, DistributedType
  
  
  
  
  class      lowercase_						:
  
  
  
  	"""simple docstring"""
  
  
  
  
  
  	def __enter__(							self       )		->Dict:
  								if self.enabled:
  															lowerCAmelCase				=	self.model.no_sync()
  															self.model_sync_obj.__enter__()
  
  								return self
  
  
  	def __exit__(							self	,    __SCREAMING_SNAKE_CASE	,    __SCREAMING_SNAKE_CASE	,    __SCREAMING_SNAKE_CASE       )		->Any:
  								if self.enabled:
  															# Average all models on exit
  															self._sync_and_avg_model_params()
  															self.model_sync_obj.__exit__(__SCREAMING_SNAKE_CASE	,    __SCREAMING_SNAKE_CASE	,    __SCREAMING_SNAKE_CASE       )
  
  
  	def __init__(							self	,    __SCREAMING_SNAKE_CASE	,    __SCREAMING_SNAKE_CASE	,    __SCREAMING_SNAKE_CASE	,    __SCREAMING_SNAKE_CASE = True       )		->Tuple:
  								if accelerator.distributed_type not in [
  								    DistributedType.NO,
  								    DistributedType.MULTI_CPU,
  								    DistributedType.MULTI_GPU,
  								]:
  															raise NotImplementedError('''LocalSGD is supported only for CPUs and GPUs (no DeepSpeed or MegatronLM)'''       )
  								lowerCAmelCase				=	enabled and accelerator.distributed_type != DistributedType.NO
  								lowerCAmelCase				=	0
  								if self.enabled:
  															lowerCAmelCase				=	accelerator
  															lowerCAmelCase				=	model
  															lowerCAmelCase				=	local_sgd_steps
  
  
  	def     SCREAMING_SNAKE_CASE_       (							self       )		->List[Any]:
  								self.num_steps += 1
  								if not self.enabled:
  															return
  
  								if self.num_steps % self.local_sgd_steps == 0:
  															self._sync_and_avg_model_params()
  
  
  
  
  	def     SCREAMING_SNAKE_CASE_       (							self       )		->Optional[int]:
  								self.accelerator.wait_for_everyone()
  								with self.accelerator.autocast():
  															for param in self.model.parameters():
  																						lowerCAmelCase				=	self.accelerator.reduce(param.data	,    reduction='''mean'''       )
  
  
  
  