





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:
				snake_case_							=			None


snake_case_							=			logging.get_logger(__name__)

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

snake_case_							=			{
    '''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''',
    },
}

snake_case_							=			{
    '''xlnet-base-cased''': None,
    '''xlnet-large-cased''': None,
}

snake_case_							=			'''▁'''

# Segments (not really needed)
snake_case_							=			0
snake_case_							=			1
snake_case_							=			2
snake_case_							=			3
snake_case_							=			4
class        snake_case_		(			_A):

		'''simple docstring'''





		lowerCamelCase    :Dict						=     VOCAB_FILES_NAMES
		lowerCamelCase    :Optional[int]						=     PRETRAINED_VOCAB_FILES_MAP
		lowerCamelCase    :str						=     PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
		lowerCamelCase    :Optional[int]						=     "left"
		lowerCamelCase    :Dict						=     XLNetTokenizer







		def __init__(		self			,     __lowercase=None			,     __lowercase=None			,     __lowercase=False			,     __lowercase=True			,     __lowercase=False			,     __lowercase="<s>"			,     __lowercase="</s>"			,     __lowercase="<unk>"			,     __lowercase="<sep>"			,     __lowercase="<pad>"			,     __lowercase="<cls>"			,     __lowercase="<mask>"			,     __lowercase=["<eop>", "<eod>"]			,     **__lowercase			,     )				->   Tuple:
				# Mask token behave like a normal word, i.e. include the space before it
				lowerCamelCase   : Union[str, Any]								=AddedToken(__lowercase			,     lstrip=__lowercase			,     rstrip=__lowercase   ) if isinstance(__lowercase			,     __lowercase   ) else mask_token

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

				lowerCamelCase   : Any								=3
				lowerCamelCase   : Optional[Any]								=do_lower_case
				lowerCamelCase   : Any								=remove_space
				lowerCamelCase   : int								=keep_accents
				lowerCamelCase   : List[str]								=vocab_file
				lowerCamelCase   : List[Any]								=False if not self.vocab_file else True







		def 			__lowercase   (		self			,     __lowercase			,     __lowercase = None   )				->   List[int]:
				lowerCamelCase   : str								=[self.sep_token_id]
				lowerCamelCase   : str								=[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 			__lowercase   (		self			,     __lowercase			,     __lowercase = None   )				->   List[int]:
				lowerCamelCase   : List[str]								=[self.sep_token_id]
				lowerCamelCase   : Union[str, 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 			__lowercase   (		self			,     __lowercase			,     __lowercase = 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(__lowercase   ):
						logger.error(F"Vocabulary path ({save_directory}) should be a directory"   )
						return
				lowerCamelCase   : List[str]								=os.path.join(
				    __lowercase			,     (filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']   )

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

				return (out_vocab_file,)








from abc import ABC, abstractmethod
from typing import Optional, Union

from .. import Dataset, DatasetDict, Features, IterableDataset, IterableDatasetDict, NamedSplit
from ..utils.typing import NestedDataStructureLike, PathLike
class        snake_case_		(			_A):







		def __init__(		self			,     __lowercase = None			,     __lowercase = None			,     __lowercase = None			,     __lowercase = None			,     __lowercase = False			,     __lowercase = False			,     __lowercase = None			,     **__lowercase			,     )				->   List[Any]:
				lowerCamelCase   : Dict								=path_or_paths
				lowerCamelCase   : Optional[int]								=split if split or isinstance(__lowercase			,     __lowercase   ) else '''train'''
				lowerCamelCase   : Tuple								=features
				lowerCamelCase   : Tuple								=cache_dir
				lowerCamelCase   : Optional[Any]								=keep_in_memory
				lowerCamelCase   : Any								=streaming
				lowerCamelCase   : Dict								=num_proc
				lowerCamelCase   : List[Any]								=kwargs







		@abstractmethod
		def 			__lowercase   (		self   )				->   Union[Dataset, DatasetDict, IterableDataset, IterableDatasetDict]:
				pass

class        snake_case_		(			_A):







		def __init__(		self			,     __lowercase = None			,     __lowercase = None			,     __lowercase = False			,     __lowercase = False			,     __lowercase = None			,     **__lowercase			,     )				->   List[str]:
				lowerCamelCase   : Tuple								=features
				lowerCamelCase   : Union[str, Any]								=cache_dir
				lowerCamelCase   : Optional[int]								=keep_in_memory
				lowerCamelCase   : List[str]								=streaming
				lowerCamelCase   : List[str]								=num_proc
				lowerCamelCase   : List[str]								=kwargs







		@abstractmethod
		def 			__lowercase   (		self   )				->   Union[Dataset, IterableDataset]:
				pass

