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

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


if is_sentencepiece_available():
    from .tokenization_pegasus import PegasusTokenizer
else:
    lowerCamelCase_							=     None


lowerCamelCase_							=     logging.get_logger(__name__)


lowerCamelCase_							=     '''▁'''

lowerCamelCase_							=     {'''vocab_file''': '''spiece.model''', '''tokenizer_file''': '''tokenizer.json'''}

lowerCamelCase_							=     {
    '''vocab_file''': {'''google/pegasus-xsum''': '''https://huggingface.co/google/pegasus-xsum/resolve/main/spiece.model'''},
    '''tokenizer_file''': {
        '''google/pegasus-xsum''': '''https://huggingface.co/google/pegasus-xsum/resolve/main/tokenizer.json'''
    },
}

lowerCamelCase_							=     {
    '''google/pegasus-xsum''': 5_12,
}




class 	__A(				snake_case_ ):

  """simple docstring"""
  SCREAMING_SNAKE_CASE__			    =			VOCAB_FILES_NAMES
  SCREAMING_SNAKE_CASE__			    =			PRETRAINED_VOCAB_FILES_MAP
  SCREAMING_SNAKE_CASE__			    =			PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
  SCREAMING_SNAKE_CASE__			    =			PegasusTokenizer
  SCREAMING_SNAKE_CASE__			    =			['''input_ids''', '''attention_mask''']







  def __init__(self       ,			SCREAMING_SNAKE_CASE_=None       ,			SCREAMING_SNAKE_CASE_=None       ,			SCREAMING_SNAKE_CASE_="<pad>"       ,			SCREAMING_SNAKE_CASE_="</s>"       ,			SCREAMING_SNAKE_CASE_="<unk>"       ,			SCREAMING_SNAKE_CASE_="<mask_2>"       ,			SCREAMING_SNAKE_CASE_="<mask_1>"       ,			SCREAMING_SNAKE_CASE_=None       ,			SCREAMING_SNAKE_CASE_=1_03       ,			**SCREAMING_SNAKE_CASE_       ,			):
       UpperCamelCase__				=				offset

       if additional_special_tokens is not None:
            if not isinstance(UpperCamelCase__       ,			UpperCamelCase__						):
                 raise TypeError(
                     F"additional_special_tokens should be of type {type(UpperCamelCase__						)}, but is"
                     F" {type(UpperCamelCase__						)}"						)

            UpperCamelCase__				=				(
                ([mask_token_sent] + additional_special_tokens)
                if mask_token_sent not in additional_special_tokens and mask_token_sent is not None
                else additional_special_tokens
            )
            # fill additional tokens with ..., <unk_token_102> in case not all additional tokens are already taken
            additional_special_tokens_extended += [
                F"<unk_{i}>" for i in range(len(UpperCamelCase__						)       ,			self.offset - 1						)
            ]

            if len(set(UpperCamelCase__						)						) != len(UpperCamelCase__						):
                 raise ValueError(
                     """Please make sure that the provided additional_special_tokens do not contain an incorrectly"""
                     F" shifted list of <unk_x> tokens. Found {additional_special_tokens_extended}."						)
            UpperCamelCase__				=				additional_special_tokens_extended
       else:
            UpperCamelCase__				=				[mask_token_sent] if mask_token_sent is not None else []
            additional_special_tokens += [F"<unk_{i}>" for i in range(2       ,			self.offset						)]

       super().__init__(
           UpperCamelCase__       ,			tokenizer_file=UpperCamelCase__       ,			pad_token=UpperCamelCase__       ,			eos_token=UpperCamelCase__       ,			unk_token=UpperCamelCase__       ,			mask_token=UpperCamelCase__       ,			mask_token_sent=UpperCamelCase__       ,			offset=UpperCamelCase__       ,			additional_special_tokens=UpperCamelCase__       ,			**UpperCamelCase__       ,			)
       UpperCamelCase__				=				vocab_file
       UpperCamelCase__				=				False if not self.vocab_file else True







  def        UpperCAmelCase_					(self       ,			SCREAMING_SNAKE_CASE_						):
       UpperCamelCase__				=				set(self.all_special_ids						)  # call it once instead of inside list comp
       all_special_ids.remove(self.unk_token_id						)  # <unk> is only sometimes special

       if all_special_ids != set(range(len(self.additional_special_tokens						) + 3						)						):
            raise ValueError(
                """There should be 3 special tokens: mask_token, pad_token, and eos_token +"""
                F" {len(self.additional_special_tokens						)} additional_special_tokens, but got {all_special_ids}"						)

       return [1 if x in all_special_ids else 0 for x in seq]







  def        UpperCAmelCase_					(self       ,			SCREAMING_SNAKE_CASE_       ,			SCREAMING_SNAKE_CASE_ = None       ,			SCREAMING_SNAKE_CASE_ = False						):




       if already_has_special_tokens:
            return self._special_token_mask(UpperCamelCase__						)
       elif token_ids_a is None:
            return self._special_token_mask(UpperCamelCase__						) + [1]
       else:
            return self._special_token_mask(token_ids_a + token_ids_a						) + [1]







  def        UpperCAmelCase_					(self       ,			SCREAMING_SNAKE_CASE_       ,			SCREAMING_SNAKE_CASE_=None						):




       if token_ids_a is None:
            return token_ids_a + [self.eos_token_id]
       # We don't expect to process pairs, but leave the pair logic for API consistency
       return token_ids_a + token_ids_a + [self.eos_token_id]







  def        UpperCAmelCase_					(self       ,			SCREAMING_SNAKE_CASE_       ,			SCREAMING_SNAKE_CASE_ = 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(UpperCamelCase__						):
            logger.error(F"Vocabulary path ({save_directory}) should be a directory"						)
            return
       UpperCamelCase__				=				os.path.join(
           UpperCamelCase__       ,			(filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""]						)

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

       return (out_vocab_file,)









"""simple docstring"""



def   __lowerCAmelCase						(						)	->						Union[str, Any]:


    """simple docstring"""





    snake_case    :      Dict      					=    []
    snake_case    :      List[Any]      					=    1

    while len(lowercase ) < 1e6:
        constant.append(str(lowercase ) )
        i += 1

    snake_case    :      Tuple      					=    "".join(lowercase )

    return (
        int(constant[0] )
        * int(constant[9] )
        * int(constant[99] )
        * int(constant[999] )
        * int(constant[9999] )
        * int(constant[9_9999] )
        * int(constant[99_9999] )
    )


if __name__ == "__main__":
  print(solution())





