






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:
	__UpperCAmelCase							:   List[Any]							=  None


__UpperCAmelCase							:   Any							=  logging.get_logger(__name__)


__UpperCAmelCase							:   int							=  "▁"

__UpperCAmelCase							:   Any							=  {"vocab_file": "spiece.model", "tokenizer_file": "tokenizer.json"}

__UpperCAmelCase							:   List[Any]							=  {
    "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"
    },
}

__UpperCAmelCase							:   Optional[int]							=  {
    "google/pegasus-xsum": 5_1_2,
}


class 					_snake_case						(			_A ):
	_A          =   VOCAB_FILES_NAMES
	_A          =   PRETRAINED_VOCAB_FILES_MAP
	_A          =   PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
	_A          =   PegasusTokenizer
	_A          =   ['input_ids', 'attention_mask']






	def __init__(		self					,UpperCamelCase=None					,UpperCamelCase=None					,UpperCamelCase="<pad>"					,UpperCamelCase="</s>"					,UpperCamelCase="<unk>"					,UpperCamelCase="<mask_2>"					,UpperCamelCase="<mask_1>"					,UpperCamelCase=None					,UpperCamelCase=103					,**UpperCamelCase					,)						->    Optional[int]:
					snake_case__      :List[str]         =   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__       )}'       )

									snake_case__      :Any         =   (
									    ([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}.'       )
									snake_case__      :Any         =   additional_special_tokens_extended
					else:
									snake_case__      :int         =   [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__					,)
					snake_case__      :Tuple         =   vocab_file
					snake_case__      :Any         =   False if not self.vocab_file else True






	def    lowerCAmelCase_							(		self					,UpperCamelCase       )						->    Optional[Any]:
					snake_case__      :List[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    lowerCAmelCase_							(		self					,UpperCamelCase					,UpperCamelCase = None					,UpperCamelCase = False       )						->    List[int]:
					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    lowerCAmelCase_							(		self					,UpperCamelCase					,UpperCamelCase=None       )						->    List[int]:
					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    lowerCAmelCase_							(		self					,UpperCamelCase					,UpperCamelCase = 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(UpperCAmelCase__       ):
									logger.error(f'Vocabulary path ({save_directory}) should be a directory'       )
									return
					snake_case__      :Optional[int]         =   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,)







from __future__ import annotations

import math





def 					lowercase_ (    __snake_case     :							int	,	__snake_case     :							int	,	__snake_case     :							bool	,	__snake_case     :							list[int]	,	__snake_case     :							float      )     -> int:





				'''simple docstring'''


				if depth < 0:
								raise ValueError("Depth cannot be less than 0"      )

				if len(__snake_case      ) == 0:
								raise ValueError("Scores cannot be empty"      )

				if depth == height:
								return scores[node_index]

				if is_max:
								return max(
								    minimax(depth + 1	,	node_index * 2	,	__snake_case	,	__snake_case	,	__snake_case      )	,	minimax(depth + 1	,	node_index * 2 + 1	,	__snake_case	,	__snake_case	,	__snake_case      )	,	)

				return min(
				    minimax(depth + 1	,	node_index * 2	,	__snake_case	,	__snake_case	,	__snake_case      )	,	minimax(depth + 1	,	node_index * 2 + 1	,	__snake_case	,	__snake_case	,	__snake_case      )	,	)





def 					lowercase_ (    )     -> None:





				'''simple docstring'''


				snake_case__      :List[Any]         =   [90, 23, 6, 33, 21, 65, 1_23, 3_44_23]
				snake_case__      :int         =   math.log(len(__snake_case      )	,	2      )
				print("Optimal value : "	,	end=""      )
				print(minimax(0	,	0	,	__snake_case	,	__snake_case	,	__snake_case      )      )


if __name__ == "__main__":
	import doctest

	doctest.testmod()
	main()