
import os
from shutil import copyfile
from typing import List, Optional, Tuple

from ...tokenization_utils import AddedToken
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import is_sentencepiece_available, logging


if is_sentencepiece_available():
						from .tokenization_big_bird import BigBirdTokenizer
else:
						__a  			=					None

__a  			=					logging.get_logger(__name__)
__a  			=					{"vocab_file": "spiece.model", "tokenizer_file": "tokenizer.json"}

__a  			=					{
    "vocab_file": {
        "google/bigbird-roberta-base": "https://huggingface.co/google/bigbird-roberta-base/resolve/main/spiece.model",
        "google/bigbird-roberta-large": (
            "https://huggingface.co/google/bigbird-roberta-large/resolve/main/spiece.model"
        ),
        "google/bigbird-base-trivia-itc": (
            "https://huggingface.co/google/bigbird-base-trivia-itc/resolve/main/spiece.model"
        ),
    },
    "tokenizer_file": {
        "google/bigbird-roberta-base": (
            "https://huggingface.co/google/bigbird-roberta-base/resolve/main/tokenizer.json"
        ),
        "google/bigbird-roberta-large": (
            "https://huggingface.co/google/bigbird-roberta-large/resolve/main/tokenizer.json"
        ),
        "google/bigbird-base-trivia-itc": (
            "https://huggingface.co/google/bigbird-base-trivia-itc/resolve/main/tokenizer.json"
        ),
    },
}

__a  			=					{
    "google/bigbird-roberta-base": 4_0_9_6,
    "google/bigbird-roberta-large": 4_0_9_6,
    "google/bigbird-base-trivia-itc": 4_0_9_6,
}


__a  			=					"▁"
class  lowercase__(				_SCREAMING_SNAKE_CASE							):



	"""simple docstring"""




	a			:List[Any]         =	VOCAB_FILES_NAMES
	a			:Union[str, Any]         =	PRETRAINED_VOCAB_FILES_MAP
	a			:Any         =	PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
	a			:List[str]         =	BigBirdTokenizer
	a			:Optional[Any]         =	['input_ids', 'attention_mask']
	a			:Any         =	[]
	def __init__(       self  :			Dict       ,							SCREAMING_SNAKE_CASE_  :			List[str]=None       ,							SCREAMING_SNAKE_CASE_  :			List[str]=None       ,							SCREAMING_SNAKE_CASE_  :			str="<unk>"       ,							SCREAMING_SNAKE_CASE_  :			int="<s>"       ,							SCREAMING_SNAKE_CASE_  :			Union[str, Any]="</s>"       ,							SCREAMING_SNAKE_CASE_  :			str="<pad>"       ,							SCREAMING_SNAKE_CASE_  :			int="[SEP]"       ,							SCREAMING_SNAKE_CASE_  :			Union[str, Any]="[MASK]"       ,							SCREAMING_SNAKE_CASE_  :			Optional[int]="[CLS]"       ,							**SCREAMING_SNAKE_CASE_  :			Optional[int]       ,							)       ->     int:
					lowercase_       =					AddedToken(SCREAMING_SNAKE_CASE_       ,							lstrip=SCREAMING_SNAKE_CASE_       ,							rstrip=SCREAMING_SNAKE_CASE_       ) if isinstance(SCREAMING_SNAKE_CASE_       ,							SCREAMING_SNAKE_CASE_       ) else bos_token
					lowercase_       =					AddedToken(SCREAMING_SNAKE_CASE_       ,							lstrip=SCREAMING_SNAKE_CASE_       ,							rstrip=SCREAMING_SNAKE_CASE_       ) if isinstance(SCREAMING_SNAKE_CASE_       ,							SCREAMING_SNAKE_CASE_       ) else eos_token
					lowercase_       =					AddedToken(SCREAMING_SNAKE_CASE_       ,							lstrip=SCREAMING_SNAKE_CASE_       ,							rstrip=SCREAMING_SNAKE_CASE_       ) if isinstance(SCREAMING_SNAKE_CASE_       ,							SCREAMING_SNAKE_CASE_       ) else unk_token
					lowercase_       =					AddedToken(SCREAMING_SNAKE_CASE_       ,							lstrip=SCREAMING_SNAKE_CASE_       ,							rstrip=SCREAMING_SNAKE_CASE_       ) if isinstance(SCREAMING_SNAKE_CASE_       ,							SCREAMING_SNAKE_CASE_       ) else pad_token
					lowercase_       =					AddedToken(SCREAMING_SNAKE_CASE_       ,							lstrip=SCREAMING_SNAKE_CASE_       ,							rstrip=SCREAMING_SNAKE_CASE_       ) if isinstance(SCREAMING_SNAKE_CASE_       ,							SCREAMING_SNAKE_CASE_       ) else cls_token
					lowercase_       =					AddedToken(SCREAMING_SNAKE_CASE_       ,							lstrip=SCREAMING_SNAKE_CASE_       ,							rstrip=SCREAMING_SNAKE_CASE_       ) if isinstance(SCREAMING_SNAKE_CASE_       ,							SCREAMING_SNAKE_CASE_       ) else sep_token

					# Mask token behave like a normal word, i.e. include the space before it
					lowercase_       =					AddedToken(SCREAMING_SNAKE_CASE_       ,							lstrip=SCREAMING_SNAKE_CASE_       ,							rstrip=SCREAMING_SNAKE_CASE_       ) if isinstance(SCREAMING_SNAKE_CASE_       ,							SCREAMING_SNAKE_CASE_       ) else mask_token

					super().__init__(
					    SCREAMING_SNAKE_CASE_       ,							tokenizer_file=SCREAMING_SNAKE_CASE_       ,							bos_token=SCREAMING_SNAKE_CASE_       ,							eos_token=SCREAMING_SNAKE_CASE_       ,							unk_token=SCREAMING_SNAKE_CASE_       ,							sep_token=SCREAMING_SNAKE_CASE_       ,							pad_token=SCREAMING_SNAKE_CASE_       ,							cls_token=SCREAMING_SNAKE_CASE_       ,							mask_token=SCREAMING_SNAKE_CASE_       ,							**SCREAMING_SNAKE_CASE_       ,							)

					lowercase_       =					vocab_file
					lowercase_       =					False if not self.vocab_file else True
	def 						_lowercase  (       self  :			str       ,							SCREAMING_SNAKE_CASE_  :			List[int]       ,							SCREAMING_SNAKE_CASE_  :			Optional[List[int]] = None       )       ->     List[int]:
					lowercase_       =					[self.sep_token_id]
					lowercase_       =					[self.cls_token_id]
					if token_ids_a is None:
									return cls + token_ids_a + sep
					return cls + token_ids_a + sep + token_ids_a + sep
	def 						_lowercase  (       self  :			List[Any]       ,							SCREAMING_SNAKE_CASE_  :			List[int]       ,							SCREAMING_SNAKE_CASE_  :			Optional[List[int]] = None       ,							SCREAMING_SNAKE_CASE_  :			bool = False       )       ->     List[int]:

					if already_has_special_tokens:
									if token_ids_a is not None:
													raise ValueError(
													    '''You should not supply a second sequence if the provided sequence of '''
													    '''ids is already formatted with special tokens for the model.'''       )
									return [1 if x in [self.sep_token_id, self.cls_token_id] else 0 for x in token_ids_a]

					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 						_lowercase  (       self  :			Union[str, Any]       ,							SCREAMING_SNAKE_CASE_  :			List[int]       ,							SCREAMING_SNAKE_CASE_  :			Optional[List[int]] = None       )       ->     List[int]:
					lowercase_       =					[self.sep_token_id]
					lowercase_       =					[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       ) * [0] + len(token_ids_a + sep       ) * [1]




	def 						_lowercase  (       self  :			Tuple       ,							SCREAMING_SNAKE_CASE_  :			str       ,							SCREAMING_SNAKE_CASE_  :			Optional[str] = None       )       ->     Tuple[str]:
					if not self.can_save_slow_tokenizer:
									raise ValueError(
									    '''Your fast tokenizer does not have the necessary information to save the vocabulary for a slow '''
									    '''tokenizer.'''       )

					if not os.path.isdir(SCREAMING_SNAKE_CASE_       ):
									logger.error(f'''Vocabulary path ({save_directory}) should be a directory'''       )
									return
					lowercase_       =					os.path.join(
					    SCREAMING_SNAKE_CASE_       ,							(filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']       )

					if os.path.abspath(self.vocab_file       ) != os.path.abspath(SCREAMING_SNAKE_CASE_       ):
									copyfile(self.vocab_file       ,							SCREAMING_SNAKE_CASE_       )

					return (out_vocab_file,)








'''simple docstring'''






from statistics import mean, stdev







def 				UpperCamelCase_			(    A__					:   list							,    A__					:   int = 3					):
  '''simple docstring'''





  lowerCAmelCase_			:      List[str]			=   min(A__					)
  lowerCAmelCase_			:      Optional[int]			=   max(A__					)
  # normalize data
  return [round((x - x_min) / (x_max - x_min)							,    A__					) for x in data]







def 				UpperCamelCase_			(    A__					:   list							,    A__					:   int = 3					):
  '''simple docstring'''





  lowerCAmelCase_			:      str			=   mean(A__					)
  lowerCAmelCase_			:      List[Any]			=   stdev(A__					)
  # standardize data
  return [round((x - mu) / (sigma)							,    A__					) for x in data]



