


'''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_     		= None


lowercase_     		= logging.get_logger(__name__)

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

lowercase_     		= {
    "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_     		= {
    "xlnet-base-cased": None,
    "xlnet-large-cased": None,
}

lowercase_     		= "▁"

# Segments (not really needed)
lowercase_     		= 0
lowercase_     		= 1
lowercase_     		= 2
lowercase_     		= 3
lowercase_     		= 4
class   SCREAMING_SNAKE_CASE			(						UpperCamelCase_):







		"""simple docstring"""
		lowercase   :      Tuple       =							VOCAB_FILES_NAMES
		lowercase   :      Union[str, Any]       =							PRETRAINED_VOCAB_FILES_MAP
		lowercase   :      Tuple       =							PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
		lowercase   :      str       =							"""left"""
		lowercase   :      Optional[Any]       =							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		,						) ->     Any:
								_lowerCAmelCase										=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		,						)

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






		def 		UpperCamelCase__       (   self		,						__A		,						__A = None				) ->     List[int]:
								_lowerCAmelCase										=[self.sep_token_id]
								_lowerCAmelCase										=[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				) ->     List[int]:
								_lowerCAmelCase										=[self.sep_token_id]
								_lowerCAmelCase										=[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				) ->     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(_a				):
														logger.error(F'''Vocabulary path ({save_directory}) should be a directory'''				)
														return
								_lowerCAmelCase										=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'''

def 							UpperCamelCase__			(			a__      ):


						'''simple docstring'''






						_lowerCAmelCase										=set()
						# To detect a back edge, keep track of vertices currently in the recursion stack
						_lowerCAmelCase										=set()
						return any(
						    node not in visited and depth_first_search(a__			,      a__			,      a__			,      a__      )
						    for node in graph      )



def 							UpperCamelCase__			(			a__			,      a__			,      a__			,      a__      ):


						'''simple docstring'''






						visited.add(a__      )
						rec_stk.add(a__      )

						for node in graph[vertex]:
												if node not in visited:
																		if depth_first_search(a__			,      a__			,      a__			,      a__      ):
																								return True
												elif node in rec_stk:
																		return True

    # The node needs to be removed from recursion stack before function ends
						rec_stk.remove(a__      )
						return False


if __name__ == "__main__":
							from doctest import testmod

							testmod()





