code: 
  '''simple docstring'''
  import json
  from typing import List, Optional, Tuple
  
  from tokenizers import pre_tokenizers, processors
  
  from ...tokenization_utils_base import AddedToken, BatchEncoding
  from ...tokenization_utils_fast import PreTrainedTokenizerFast
  from ...utils import logging
  from .tokenization_longformer import LongformerTokenizer
  
  
  lowercase__						=			logging.get_logger(__name__)
  
  lowercase__						=			{"vocab_file": "vocab.json", "merges_file": "merges.txt", "tokenizer_file": "tokenizer.json"}
  
  lowercase__						=			{
      "vocab_file": {
          "allenai/longformer-base-4096": "https://huggingface.co/allenai/longformer-base-4096/resolve/main/vocab.json",
          "allenai/longformer-large-4096": (
              "https://huggingface.co/allenai/longformer-large-4096/resolve/main/vocab.json"
          ),
          "allenai/longformer-large-4096-finetuned-triviaqa": (
              "https://huggingface.co/allenai/longformer-large-4096-finetuned-triviaqa/resolve/main/vocab.json"
          ),
          "allenai/longformer-base-4096-extra.pos.embd.only": (
              "https://huggingface.co/allenai/longformer-base-4096-extra.pos.embd.only/resolve/main/vocab.json"
          ),
          "allenai/longformer-large-4096-extra.pos.embd.only": (
              "https://huggingface.co/allenai/longformer-large-4096-extra.pos.embd.only/resolve/main/vocab.json"
          ),
      },
      "merges_file": {
          "allenai/longformer-base-4096": "https://huggingface.co/allenai/longformer-base-4096/resolve/main/merges.txt",
          "allenai/longformer-large-4096": (
              "https://huggingface.co/allenai/longformer-large-4096/resolve/main/merges.txt"
          ),
          "allenai/longformer-large-4096-finetuned-triviaqa": (
              "https://huggingface.co/allenai/longformer-large-4096-finetuned-triviaqa/resolve/main/merges.txt"
          ),
          "allenai/longformer-base-4096-extra.pos.embd.only": (
              "https://huggingface.co/allenai/longformer-base-4096-extra.pos.embd.only/resolve/main/merges.txt"
          ),
          "allenai/longformer-large-4096-extra.pos.embd.only": (
              "https://huggingface.co/allenai/longformer-large-4096-extra.pos.embd.only/resolve/main/merges.txt"
          ),
      },
      "tokenizer_file": {
          "allenai/longformer-base-4096": (
              "https://huggingface.co/allenai/longformer-base-4096/resolve/main/tokenizer.json"
          ),
          "allenai/longformer-large-4096": (
              "https://huggingface.co/allenai/longformer-large-4096/resolve/main/tokenizer.json"
          ),
          "allenai/longformer-large-4096-finetuned-triviaqa": (
              "https://huggingface.co/allenai/longformer-large-4096-finetuned-triviaqa/resolve/main/tokenizer.json"
          ),
          "allenai/longformer-base-4096-extra.pos.embd.only": (
              "https://huggingface.co/allenai/longformer-base-4096-extra.pos.embd.only/resolve/main/tokenizer.json"
          ),
          "allenai/longformer-large-4096-extra.pos.embd.only": (
              "https://huggingface.co/allenai/longformer-large-4096-extra.pos.embd.only/resolve/main/tokenizer.json"
          ),
      },
  }
  
  lowercase__						=			{
      "allenai/longformer-base-4096": 4_0_9_6,
      "allenai/longformer-large-4096": 4_0_9_6,
      "allenai/longformer-large-4096-finetuned-triviaqa": 4_0_9_6,
      "allenai/longformer-base-4096-extra.pos.embd.only": 4_0_9_6,
      "allenai/longformer-large-4096-extra.pos.embd.only": 4_0_9_6,
  }
  
  
  
  
  
  
  class   snake_case__					(			__SCREAMING_SNAKE_CASE				):
  
  
  
  
  
  
  
  		"""simple docstring"""
  
  		lowerCamelCase           =	VOCAB_FILES_NAMES
  		lowerCamelCase           =	PRETRAINED_VOCAB_FILES_MAP
  		lowerCamelCase           =	PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
  		lowerCamelCase           =	["""input_ids""", """attention_mask"""]
  		lowerCamelCase           =	LongformerTokenizer
  
  
  
  		def __init__(			self							: Union[str, Any]     ,  UpperCamelCase__							: List[Any]=None     ,  UpperCamelCase__							: List[Any]=None     ,  UpperCamelCase__							: List[Any]=None     ,  UpperCamelCase__							: Union[str, Any]="replace"     ,  UpperCamelCase__							: Optional[Any]="<s>"     ,  UpperCamelCase__							: Dict="</s>"     ,  UpperCamelCase__							: Optional[Any]="</s>"     ,  UpperCamelCase__							: Optional[int]="<s>"     ,  UpperCamelCase__							: Dict="<unk>"     ,  UpperCamelCase__							: int="<pad>"     ,  UpperCamelCase__							: Optional[Any]="<mask>"     ,  UpperCamelCase__							: int=False     ,  UpperCamelCase__							: int=True     ,  **UpperCamelCase__							: List[Any]     ,  )	-> Any:
  
  
  
  
  
  
  				"""simple docstring"""
  
  
  
  
  
  
  
  				super().__init__(
  				    UpperCamelCase__     ,  UpperCamelCase__     ,  tokenizer_file=UpperCamelCase__     ,  errors=UpperCamelCase__     ,  bos_token=UpperCamelCase__     ,  eos_token=UpperCamelCase__     ,  sep_token=UpperCamelCase__     ,  cls_token=UpperCamelCase__     ,  unk_token=UpperCamelCase__     ,  pad_token=UpperCamelCase__     ,  mask_token=UpperCamelCase__     ,  add_prefix_space=UpperCamelCase__     ,  trim_offsets=UpperCamelCase__     ,  **UpperCamelCase__     ,  )
  
  				snake_case     :					Any     =	json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__()			)
  				if pre_tok_state.get('''add_prefix_space'''     ,  UpperCamelCase__			) != add_prefix_space:
  						snake_case     :					Optional[int]     =	getattr(UpperCamelCase__     ,  pre_tok_state.pop('''type'''			)			)
  						snake_case     :					List[Any]     =	add_prefix_space
  						snake_case     :					Any     =	pre_tok_class(**UpperCamelCase__			)
  
  				snake_case     :					int     =	add_prefix_space
  
  				snake_case     :					Union[str, Any]     =	'''post_processor'''
  				snake_case     :					Dict     =	getattr(self.backend_tokenizer     ,  UpperCamelCase__     ,  UpperCamelCase__			)
  				if tokenizer_component_instance:
  						snake_case     :					str     =	json.loads(tokenizer_component_instance.__getstate__()			)
  
  						# The lists 'sep' and 'cls' must be cased in tuples for the object `post_processor_class`
  						if "sep" in state:
  								snake_case     :					Dict     =	tuple(state['''sep''']			)
  						if "cls" in state:
  								snake_case     :					Optional[int]     =	tuple(state['''cls''']			)
  
  						snake_case     :					Any     =	False
  
  						if state.get('''add_prefix_space'''     ,  UpperCamelCase__			) != add_prefix_space:
  								snake_case     :					Optional[Any]     =	add_prefix_space
  								snake_case     :					Optional[int]     =	True
  
  						if state.get('''trim_offsets'''     ,  UpperCamelCase__			) != trim_offsets:
  								snake_case     :					List[Any]     =	trim_offsets
  								snake_case     :					Tuple     =	True
  
  						if changes_to_apply:
  								snake_case     :					Any     =	getattr(UpperCamelCase__     ,  state.pop('''type'''			)			)
  								snake_case     :					str     =	component_class(**UpperCamelCase__			)
  								setattr(self.backend_tokenizer     ,  UpperCamelCase__     ,  UpperCamelCase__			)
  
  
  
  		@property
  		def 			lowerCAmelCase							(			self							: int			)	-> str:
  
  
  
  
  
  
  				"""simple docstring"""
  
  
  
  
  
  
  
  				if self._mask_token is None:
  						if self.verbose:
  								logger.error('''Using mask_token, but it is not set yet.'''			)
  						return None
  				return str(self._mask_token			)
  
  
  
  		@mask_token.setter
  		def 			lowerCAmelCase							(			self							: Optional[Any]     ,  UpperCamelCase__							: Union[str, Any]			)	-> List[str]:
  
  
  
  
  
  
  				"""simple docstring"""
  
  
  
  
  
  
  
  				snake_case     :					Any     =	AddedToken(UpperCamelCase__     ,  lstrip=UpperCamelCase__     ,  rstrip=UpperCamelCase__			) if isinstance(UpperCamelCase__     ,  UpperCamelCase__			) else value
  				snake_case     :					Optional[Any]     =	value
  
  
  
  		def 			lowerCAmelCase							(			self							: Tuple     ,  *UpperCamelCase__							: Optional[Any]     ,  **UpperCamelCase__							: List[str]			)	-> BatchEncoding:
  
  
  
  
  
  
  				"""simple docstring"""
  
  
  
  
  
  
  
  				snake_case     :					Union[str, Any]     =	kwargs.get('''is_split_into_words'''     ,  UpperCamelCase__			)
  				assert self.add_prefix_space or not is_split_into_words, (
  				    f'You need to instantiate {self.__class__.__name__} with add_prefix_space=True '
  				    "to use it with pretokenized inputs."
  				)
  
  				return super()._batch_encode_plus(*UpperCamelCase__     ,  **UpperCamelCase__			)
  
  
  
  		def 			lowerCAmelCase							(			self							: Dict     ,  *UpperCamelCase__							: List[Any]     ,  **UpperCamelCase__							: int			)	-> BatchEncoding:
  
  
  
  
  
  
  				"""simple docstring"""
  
  
  
  
  
  
  
  				snake_case     :					Dict     =	kwargs.get('''is_split_into_words'''     ,  UpperCamelCase__			)
  
  				assert self.add_prefix_space or not is_split_into_words, (
  				    f'You need to instantiate {self.__class__.__name__} with add_prefix_space=True '
  				    "to use it with pretokenized inputs."
  				)
  
  				return super()._encode_plus(*UpperCamelCase__     ,  **UpperCamelCase__			)
  
  
  
  		def 			lowerCAmelCase							(			self							: Optional[Any]     ,  UpperCamelCase__							: str     ,  UpperCamelCase__							: Optional[str] = None			)	-> Tuple[str]:
  
  
  
  
  
  
  				"""simple docstring"""
  
  
  
  
  
  
  
  				snake_case     :					str     =	self._tokenizer.model.save(UpperCamelCase__     ,  name=UpperCamelCase__			)
  				return tuple(UpperCamelCase__			)
  
  
  
  		def 			lowerCAmelCase							(			self							: Union[str, Any]     ,  UpperCamelCase__							: int     ,  UpperCamelCase__							: List[Any]=None			)	-> str:
  
  
  
  
  
  
  				"""simple docstring"""
  
  
  
  
  
  
  
  				snake_case     :					int     =	[self.bos_token_id] + token_ids_a + [self.eos_token_id]
  				if token_ids_a is None:
  						return output
  
  				return output + [self.eos_token_id] + token_ids_a + [self.eos_token_id]
  
  
  
  		def 			lowerCAmelCase							(			self							: str     ,  UpperCamelCase__							: List[int]     ,  UpperCamelCase__							: Optional[List[int]] = None			)	-> List[int]:
  
  
  
  
  
  
  				"""simple docstring"""
  
  
  
  
  
  
  
  				snake_case     :					Union[str, Any]     =	[self.sep_token_id]
  				snake_case     :					int     =	[self.cls_token_id]
  
  				if token_ids_a is None:
  						return len(cls + token_ids_a + sep			) * [0]
  				return len(cls + token_ids_a + sep + sep + token_ids_a + sep			) * [0]
  
  
  
style_context: 
  '''simple docstring'''
  import numpy as np
  
  
  
  
  def       _UpperCamelCase	(					SCREAMING_SNAKE_CASE__ )     ->       Optional[Any]:
  
  
  		'''simple docstring'''
  
  
  		snake_case ,snake_case     :					str     =	a.shape
  		snake_case     :					Union[str, Any]     =	min(SCREAMING_SNAKE_CASE__   ,					SCREAMING_SNAKE_CASE__ )
  		snake_case     :					List[Any]     =	np.eye(SCREAMING_SNAKE_CASE__ )
  		snake_case     :					Union[str, Any]     =	a.copy()
  
  		for k in range(t - 1 ):
  				# select a column of modified matrix A':
  				snake_case     :					Union[str, Any]     =	r[k:, [k]]
  				# construct first basis vector
  				snake_case     :					str     =	np.zeros_like(SCREAMING_SNAKE_CASE__ )
  				snake_case     :					List[str]     =	1.0
  				# determine scaling factor
  				snake_case     :					int     =	np.linalg.norm(SCREAMING_SNAKE_CASE__ )
  				# construct vector v for Householder reflection
  				snake_case     :					Optional[int]     =	x + np.sign(x[0] ) * alpha * ea
  				v /= np.linalg.norm(SCREAMING_SNAKE_CASE__ )
  
  				# construct the Householder matrix
  				snake_case     :					Tuple     =	np.eye(m - k ) - 2.0 * v @ v.T
  				# pad with ones and zeros as necessary
  				snake_case     :					int     =	np.block([[np.eye(SCREAMING_SNAKE_CASE__ ), np.zeros((k, m - k) )], [np.zeros((m - k, k) ), q_k]] )
  
  				snake_case     :					int     =	q @ q_k.T
  				snake_case     :					Dict     =	q_k @ r
  
  		return q, r
  
  
  if __name__ == "__main__":
  						import doctest
  
  						doctest.testmod()
  
  
  