





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:
		_lowercase		:  List[str]			       =None


_lowercase		:  Tuple			       =logging.get_logger(__name__)


_lowercase		:  Tuple			       ="""▁"""

_lowercase		:  Union[str, Any]			       ={"""vocab_file""": """spiece.model""", """tokenizer_file""": """tokenizer.json"""}

_lowercase		:  Dict			       ={
    """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"""
    },
}

_lowercase		:  str			       ={
    """google/pegasus-xsum""": 512,
}






class 						UpperCamelCase_  (  snake_case__							):
					_a      :						List[Any]						    =					VOCAB_FILES_NAMES
					_a      :						int						    =					PRETRAINED_VOCAB_FILES_MAP
					_a      :						Any						    =					PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
					_a      :						Any						    =					PegasusTokenizer
					_a      :						Tuple						    =					['input_ids', 'attention_mask']



					def __init__(		self     :     List[str]       ,      lowerCamelCase     :     List[Any]=None       ,      lowerCamelCase     :     Optional[Any]=None       ,      lowerCamelCase     :     Any="<pad>"       ,      lowerCamelCase     :     List[Any]="</s>"       ,      lowerCamelCase     :     Optional[Any]="<unk>"       ,      lowerCamelCase     :     Any="<mask_2>"       ,      lowerCamelCase     :     Any="<mask_1>"       ,      lowerCamelCase     :     Any=None       ,      lowerCamelCase     :     Any=1_03       ,      **lowerCamelCase     :     int       ,      ):
							lowerCamelCase_	:     Dict 						=      offset

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

									lowerCamelCase_	:     Optional[int] 						=      (
									    ([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(lowerCamelCase						)       ,      self.offset - 1						)
									]

									if len(set(lowerCamelCase						)						) != len(lowerCamelCase						):
											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}."						)
									lowerCamelCase_	:     Tuple 						=      additional_special_tokens_extended
							else:
									lowerCamelCase_	:     Union[str, Any] 						=      [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__(
							    lowerCamelCase       ,      tokenizer_file=lowerCamelCase       ,      pad_token=lowerCamelCase       ,      eos_token=lowerCamelCase       ,      unk_token=lowerCamelCase       ,      mask_token=lowerCamelCase       ,      mask_token_sent=lowerCamelCase       ,      offset=lowerCamelCase       ,      additional_special_tokens=lowerCamelCase       ,      **lowerCamelCase       ,      )
							lowerCamelCase_	:     str 						=      vocab_file
							lowerCamelCase_	:     str 						=      False if not self.vocab_file else True



					def   __a     (		self     :     List[str]       ,      lowerCamelCase     :     Union[str, Any]						):
							lowerCamelCase_	:     Any 						=      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   __a     (		self     :     Dict       ,      lowerCamelCase     :     List       ,      lowerCamelCase     :     Optional[List] = None       ,      lowerCamelCase     :     bool = False						):
							if already_has_special_tokens:
									return self._special_token_mask(lowerCamelCase						)
							elif token_ids_a is None:
									return self._special_token_mask(lowerCamelCase						) + [1]
							else:
									return self._special_token_mask(token_ids_a + token_ids_a						) + [1]



					def   __a     (		self     :     Optional[int]       ,      lowerCamelCase     :     List[Any]       ,      lowerCamelCase     :     Optional[Any]=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   __a     (		self     :     int       ,      lowerCamelCase     :     str       ,      lowerCamelCase     :     Optional[str] = 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
							lowerCamelCase_	:     Dict 						=      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,)







def 		_SCREAMING_SNAKE_CASE     ( lowerCAmelCase__							,lowerCAmelCase__						):
		if number < 0 or shift_amount < 0:
				raise ValueError('both inputs must be positive integers'						)

		lowerCamelCase_	:     int 						=      str(bin(lowerCAmelCase__						)						)
		binary_number += "0" * shift_amount
		return binary_number


def 		_SCREAMING_SNAKE_CASE     ( lowerCAmelCase__							,lowerCAmelCase__						):
		if number < 0 or shift_amount < 0:
				raise ValueError('both inputs must be positive integers'						)

		lowerCamelCase_	:     Union[str, Any] 						=      str(bin(lowerCAmelCase__						)						)[2:]
		if shift_amount >= len(lowerCAmelCase__						):
				return "0b0"
		lowerCamelCase_	:     List[str] 						=      binary_number[: len(lowerCAmelCase__						) - shift_amount]
		return "0b" + shifted_binary_number


def 		_SCREAMING_SNAKE_CASE     ( lowerCAmelCase__							,lowerCAmelCase__						):
		if number >= 0:  # Get binary representation of positive number
				lowerCamelCase_	:     List[Any] 						=      '0' + str(bin(lowerCAmelCase__						)						).strip('-'						)[2:]
		else:  # Get binary (2's complement) representation of negative number
				lowerCamelCase_	:     Any 						=      len(bin(lowerCAmelCase__						)[3:]						)  # Find 2's complement of number
				lowerCamelCase_	:     List[str] 						=      bin(abs(lowerCAmelCase__						) - (1 << binary_number_length)						)[3:]
				lowerCamelCase_	:     List[str] 						=      (
				    '1' + '0' * (binary_number_length - len(lowerCAmelCase__						)) + binary_number
				)

		if shift_amount >= len(lowerCAmelCase__						):
				return "0b" + binary_number[0] * len(lowerCAmelCase__						)
		return (
		    "0b"
		    + binary_number[0] * shift_amount
		    + binary_number[: len(lowerCAmelCase__						) - shift_amount]
		)


if __name__ == "__main__":
		import doctest

		doctest.testmod()
