


'''simple docstring'''



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_xlnet import XLNetTokenizer
else:
	__lowercase     :						Optional[int]	=     None


__lowercase     :						Any	=     logging.get_logger(__name__)

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

__lowercase     :						List[Any]	=     {
    'vocab_file': {
        'xlnet-base-cased': 'https://huggingface.co/xlnet-base-cased/resolve/main/spiece.model',
        'xlnet-large-cased': 'https://huggingface.co/xlnet-large-cased/resolve/main/spiece.model',
    },
    'tokenizer_file': {
        'xlnet-base-cased': 'https://huggingface.co/xlnet-base-cased/resolve/main/tokenizer.json',
        'xlnet-large-cased': 'https://huggingface.co/xlnet-large-cased/resolve/main/tokenizer.json',
    },
}

__lowercase     :						List[Any]	=     {
    'xlnet-base-cased': None,
    'xlnet-large-cased': None,
}

__lowercase     :						str	=     '▁'

# Segments (not really needed)
__lowercase     :						Dict	=     0
__lowercase     :						Optional[int]	=     1
__lowercase     :						Any	=     2
__lowercase     :						List[str]	=     3
__lowercase     :						int	=     4





class 							__UpperCamelCase    (		lowerCAmelCase_ ):
	A_           =   VOCAB_FILES_NAMES
	A_           =   PRETRAINED_VOCAB_FILES_MAP
	A_           =   PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
	A_           =   "left"
	A_           =   XLNetTokenizer




	def __init__(       self						,    __a=None						,    __a=None						,    __a=False						,    __a=True						,    __a=False						,    __a="<s>"						,    __a="</s>"						,    __a="<unk>"						,    __a="<sep>"						,    __a="<pad>"						,    __a="<cls>"						,    __a="<mask>"						,    __a=["<eop>", "<eod>"]						,    **__a						,    ):

						'''simple docstring'''





						__a      :	str    =  AddedToken(__a						,    lstrip=__a						,    rstrip=__a							) if isinstance(__a						,    __a							) else mask_token

						super().__init__(
						    vocab_file=__a						,    tokenizer_file=__a						,    do_lower_case=__a						,    remove_space=__a						,    keep_accents=__a						,    bos_token=__a						,    eos_token=__a						,    unk_token=__a						,    sep_token=__a						,    pad_token=__a						,    cls_token=__a						,    mask_token=__a						,    additional_special_tokens=__a						,    **__a						,    )

						__a      :	Any    =  3
						__a      :	Optional[int]    =  do_lower_case
						__a      :	Optional[int]    =  remove_space
						__a      :	Optional[Any]    =  keep_accents
						__a      :	Union[str, Any]    =  vocab_file
						__a      :	Tuple    =  False if not self.vocab_file else True




	def 				__UpperCAmelCase							(       self						,    __a						,    __a = None							):

						'''simple docstring'''





						__a      :	Dict    =  [self.sep_token_id]
						__a      :	Optional[int]    =  [self.cls_token_id]
						if token_ids_a is None:
											return token_ids_a + sep + cls
						return token_ids_a + sep + token_ids_a + sep + cls




	def 				__UpperCAmelCase							(       self						,    __a						,    __a = None							):

						'''simple docstring'''





						__a      :	List[str]    =  [self.sep_token_id]
						__a      :	Optional[Any]    =  [2]

						if token_ids_a is None:
											return len(token_ids_a + sep							) * [0] + cls_segment_id
						return len(token_ids_a + sep							) * [0] + len(token_ids_a + sep							) * [1] + cls_segment_id





	def 				__UpperCAmelCase							(       self						,    __a						,    __a = None							):

						'''simple docstring'''





						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(__a							):
											logger.error(f"""Vocabulary path ({save_directory}) should be a directory"""							)
											return
						__a      :	Union[str, Any]    =  os.path.join(
						    __a						,    (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']							)

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

						return (out_vocab_file,)







'''simple docstring'''



from __future__ import annotations

from dataclasses import dataclass





@dataclass
class 							__UpperCamelCase    :
	A_           =   42
	A_           =   None
	A_           =   None






def   lowerCamelCase							(_SCREAMING_SNAKE_CASE				:       TreeNode | None       ):

					# Validation
					def is_valid_tree(_SCREAMING_SNAKE_CASE				:       TreeNode | None       ) -> bool:
										if node is None:
															return True

										if not isinstance(_SCREAMING_SNAKE_CASE						,				_SCREAMING_SNAKE_CASE       ):
															return False

										try:
															float(node.data       )
										except (TypeError, ValueError):
															return False

										return is_valid_tree(node.left       ) and is_valid_tree(node.right       )

					if not is_valid_tree(_SCREAMING_SNAKE_CASE       ):
										raise ValueError(
										    'Each node should be type of TreeNode and data should be float.'       )

					def is_binary_search_tree_recursive_check(
					    _SCREAMING_SNAKE_CASE				:       TreeNode | None						,				_SCREAMING_SNAKE_CASE				:       float						,				_SCREAMING_SNAKE_CASE				:       float       ) -> bool:

										if node is None:
															return True

										return (
										    left_bound < node.data < right_bound
										    and is_binary_search_tree_recursive_check(node.left						,				_SCREAMING_SNAKE_CASE						,				node.data       )
										    and is_binary_search_tree_recursive_check(
										        node.right						,				node.data						,				_SCREAMING_SNAKE_CASE       )
										)

					return is_binary_search_tree_recursive_check(_SCREAMING_SNAKE_CASE						,				-float('inf'       )						,				float('inf'       )       )


if __name__ == "__main__":
	import doctest

	doctest.testmod()



