


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:
	a			:			Union[str, Any]												=					None


a			:			Optional[Any]												=					logging.get_logger(__name__)

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

a			:			Dict												=					{
    '''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''',
    },
}

a			:			Optional[int]												=					{
    '''xlnet-base-cased''': None,
    '''xlnet-large-cased''': None,
}

a			:			Tuple												=					'''▁'''

# Segments (not really needed)
a			:			Optional[Any]												=					0
a			:			Optional[Any]												=					1
a			:			Optional[Any]												=					2
a			:			Tuple												=					3
a			:			List[str]												=					4
class 						lowerCamelCase_							(					lowerCAmelCase__					):



					'''simple docstring'''







					__UpperCAmelCase							  =					VOCAB_FILES_NAMES
					__UpperCAmelCase							  =					PRETRAINED_VOCAB_FILES_MAP
					__UpperCAmelCase							  =					PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
					__UpperCAmelCase							  =					"left"
					__UpperCAmelCase							  =					XLNetTokenizer






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







								'''simple docstring'''

								__lowercase			       = AddedToken(snake_case_			,							lstrip=snake_case_			,							rstrip=snake_case_    ) if isinstance(snake_case_			,							snake_case_    ) else mask_token

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

								__lowercase			       = 3
								__lowercase			       = do_lower_case
								__lowercase			       = remove_space
								__lowercase			       = keep_accents
								__lowercase			       = vocab_file
								__lowercase			       = False if not self.vocab_file else True






					def A   (					self			,							snake_case_			,							snake_case_ = None    ) ->      List[int]:







								'''simple docstring'''

								__lowercase			       = [self.sep_token_id]
								__lowercase			       = [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 A   (					self			,							snake_case_			,							snake_case_ = None    ) ->      List[int]:







								'''simple docstring'''

								__lowercase			       = [self.sep_token_id]
								__lowercase			       = [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 A   (					self			,							snake_case_			,							snake_case_ = None    ) ->      Tuple[str]:







								'''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(snake_case_    ):
											logger.error(F'Vocabulary path ({save_directory}) should be a directory'    )
											return
								__lowercase			       = os.path.join(
								    snake_case_			,							(filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']    )

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

								return (out_vocab_file,)






import copy
from dataclasses import dataclass
from pathlib import Path
from typing import Dict, Optional, Union
@dataclass
class 						lowerCamelCase_							:



					'''simple docstring'''







					__UpperCAmelCase							  =					None
					__UpperCAmelCase							  =					False
					__UpperCAmelCase							  =					False
					__UpperCAmelCase							  =					False
					__UpperCAmelCase							  =					None
					__UpperCAmelCase							  =					None
					__UpperCAmelCase							  =					False
					__UpperCAmelCase							  =					False
					__UpperCAmelCase							  =					False
					__UpperCAmelCase							  =					True
					__UpperCAmelCase							  =					None
					__UpperCAmelCase							  =					1
					__UpperCAmelCase							  =					None
					__UpperCAmelCase							  =					False
					__UpperCAmelCase							  =					None
					__UpperCAmelCase							  =					None






					def A   (					self    ) ->      "DownloadConfig":







								'''simple docstring'''

								return self.__class__(**{k: copy.deepcopy(snake_case_    ) for k, v in self.__dict__.items()}    )


