




'''simple docstring'''



from random import randint, random




def   lowercase__(			__UpperCamelCase:					int      ,__UpperCamelCase:					int      ,__UpperCamelCase:					int      ,__UpperCamelCase:					bool = False      ,__UpperCamelCase:					bool = False      ,__UpperCamelCase:					int = 5      ,):

      """simple docstring"""






      SCREAMING_SNAKE_CASE   :      Optional[int]    					=						[[-1] * number_of_cells]  # Create a highway without any car
      SCREAMING_SNAKE_CASE   :      int    					=						0
      SCREAMING_SNAKE_CASE   :      Dict    					=						max(__UpperCamelCase      ,0    )
      while i < number_of_cells:
            SCREAMING_SNAKE_CASE   :      int    					=						(
                randint(0      ,__UpperCamelCase    ) if random_speed else initial_speed
            )  # Place the cars
            i += (
                randint(1      ,max_speed * 2    ) if random_frequency else frequency
            )  # Arbitrary number, may need tuning
      return highway




def   lowercase__(			__UpperCamelCase:					list      ,__UpperCamelCase:					int    ):

      """simple docstring"""






      SCREAMING_SNAKE_CASE   :      Any    					=						0
      SCREAMING_SNAKE_CASE   :      List[Any]    					=						highway_now[car_index + 1 :]
      for cell in range(len(__UpperCamelCase    )    ):  # May need a better name for this
            if cells[cell] != -1:  # If the cell is not empty then
                  return distance  # we have the distance we wanted
            distance += 1
      # Here if the car is near the end of the highway
      return distance + get_distance(__UpperCamelCase      ,-1    )




def   lowercase__(			__UpperCamelCase:					list      ,__UpperCamelCase:					float      ,__UpperCamelCase:					int    ):

      """simple docstring"""






      SCREAMING_SNAKE_CASE   :      int    					=						len(__UpperCamelCase    )
      # Beforce calculations, the highway is empty
      SCREAMING_SNAKE_CASE   :      int    					=						[-1] * number_of_cells

      for car_index in range(__UpperCamelCase    ):
            if highway_now[car_index] != -1:
                  # Add 1 to the current speed of the car and cap the speed
                  SCREAMING_SNAKE_CASE   :      List[Any]    					=						min(highway_now[car_index] + 1      ,__UpperCamelCase    )
                  # Number of empty cell before the next car
                  SCREAMING_SNAKE_CASE   :      Dict    					=						get_distance(__UpperCamelCase      ,__UpperCamelCase    ) - 1
                  # We can't have the car causing an accident
                  SCREAMING_SNAKE_CASE   :      Dict    					=						min(next_highway[car_index]      ,__UpperCamelCase    )
                  if random() < probability:
                        # Randomly, a driver will slow down
                        SCREAMING_SNAKE_CASE   :      List[str]    					=						max(next_highway[car_index] - 1      ,0    )
      return next_highway




def   lowercase__(			__UpperCamelCase:					list      ,__UpperCamelCase:					int      ,__UpperCamelCase:					float      ,__UpperCamelCase:					int    ):

      """simple docstring"""






      SCREAMING_SNAKE_CASE   :      List[Any]    					=						len(highway[0]    )

      for i in range(__UpperCamelCase    ):
            SCREAMING_SNAKE_CASE   :      Optional[Any]    					=						update(highway[i]      ,__UpperCamelCase      ,__UpperCamelCase    )
            SCREAMING_SNAKE_CASE   :      Tuple    					=						[-1] * number_of_cells

            for car_index in range(__UpperCamelCase    ):
                  SCREAMING_SNAKE_CASE   :      int    					=						next_speeds_calculated[car_index]
                  if speed != -1:
                        # Change the position based on the speed (with % to create the loop)
                        SCREAMING_SNAKE_CASE   :      Union[str, Any]    					=						(car_index + speed) % number_of_cells
                        # Commit the change of position
                        SCREAMING_SNAKE_CASE   :      List[Any]    					=						speed
            highway.append(__UpperCamelCase    )

      return highway


if __name__ == "__main__":
      import doctest

      doctest.testmod()









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:
					UpperCamelCase__           =			None

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

UpperCamelCase__           =			{
    "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"
        ),
    },
}

UpperCamelCase__           =			{
    "google/bigbird-roberta-base": 4_096,
    "google/bigbird-roberta-large": 4_096,
    "google/bigbird-base-trivia-itc": 4_096,
}


UpperCamelCase__           =			"▁"

class 							__SCREAMING_SNAKE_CASE       (  _a							):
							snake_case  :   Optional[Any]      =							VOCAB_FILES_NAMES
							snake_case  :   List[str]      =							PRETRAINED_VOCAB_FILES_MAP
							snake_case  :   List[str]      =							PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
							snake_case  :   int      =							BigBirdTokenizer
							snake_case  :   List[Any]      =							["""input_ids""", """attention_mask"""]
							snake_case  :   List[int]      =							[]






							def __init__(    self	,			__lowerCAmelCase=None	,			__lowerCAmelCase=None	,			__lowerCAmelCase="<unk>"	,			__lowerCAmelCase="<s>"	,			__lowerCAmelCase="</s>"	,			__lowerCAmelCase="<pad>"	,			__lowerCAmelCase="[SEP]"	,			__lowerCAmelCase="[MASK]"	,			__lowerCAmelCase="[CLS]"	,			**__lowerCAmelCase	,			):
														UpperCamelCase__					  =      AddedToken(__lowerCAmelCase	,			lstrip=__lowerCAmelCase	,			rstrip=__lowerCAmelCase	) if isinstance(__lowerCAmelCase	,			__lowerCAmelCase	) else bos_token
														UpperCamelCase__					  =      AddedToken(__lowerCAmelCase	,			lstrip=__lowerCAmelCase	,			rstrip=__lowerCAmelCase	) if isinstance(__lowerCAmelCase	,			__lowerCAmelCase	) else eos_token
														UpperCamelCase__					  =      AddedToken(__lowerCAmelCase	,			lstrip=__lowerCAmelCase	,			rstrip=__lowerCAmelCase	) if isinstance(__lowerCAmelCase	,			__lowerCAmelCase	) else unk_token
														UpperCamelCase__					  =      AddedToken(__lowerCAmelCase	,			lstrip=__lowerCAmelCase	,			rstrip=__lowerCAmelCase	) if isinstance(__lowerCAmelCase	,			__lowerCAmelCase	) else pad_token
														UpperCamelCase__					  =      AddedToken(__lowerCAmelCase	,			lstrip=__lowerCAmelCase	,			rstrip=__lowerCAmelCase	) if isinstance(__lowerCAmelCase	,			__lowerCAmelCase	) else cls_token
														UpperCamelCase__					  =      AddedToken(__lowerCAmelCase	,			lstrip=__lowerCAmelCase	,			rstrip=__lowerCAmelCase	) if isinstance(__lowerCAmelCase	,			__lowerCAmelCase	) else sep_token

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

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

														UpperCamelCase__					  =      vocab_file
														UpperCamelCase__					  =      False if not self.vocab_file else True






							def 					_lowerCamelCase		(    self	,			__lowerCAmelCase	,			__lowerCAmelCase = None	):
														UpperCamelCase__					  =      [self.sep_token_id]
														UpperCamelCase__					  =      [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 					_lowerCamelCase		(    self	,			__lowerCAmelCase	,			__lowerCAmelCase = None	,			__lowerCAmelCase = False	):

														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(__lowerCAmelCase	)) + [1]
														return [1] + ([0] * len(__lowerCAmelCase	)) + [1] + ([0] * len(__lowerCAmelCase	)) + [1]






							def 					_lowerCamelCase		(    self	,			__lowerCAmelCase	,			__lowerCAmelCase = None	):
														UpperCamelCase__					  =      [self.sep_token_id]
														UpperCamelCase__					  =      [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 					_lowerCamelCase		(    self	,			__lowerCAmelCase	,			__lowerCAmelCase = None	):
														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(__lowerCAmelCase	):
																					logger.error(f"""Vocabulary path ({save_directory}) should be a directory"""	)
																					return
														UpperCamelCase__					  =      os.path.join(
														    __lowerCAmelCase	,			(filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""]	)

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

														return (out_vocab_file,)




