






"""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:
						A__	:    Any			 = None


A__	:    Dict			 = logging.get_logger(__name__)

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

A__	:    int			 = {
    '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[Any]			 = {
    'xlnet-base-cased': None,
    'xlnet-large-cased': None,
}

A__	:    Any			 = '▁'

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







class        lowercase__      (							snake_case__       ):
			_UpperCAmelCase		:Tuple             =			VOCAB_FILES_NAMES
			_UpperCAmelCase		:Optional[int]             =			PRETRAINED_VOCAB_FILES_MAP
			_UpperCAmelCase		:int             =			PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
			_UpperCAmelCase		:List[Any]             =			"left"
			_UpperCAmelCase		:List[str]             =			XLNetTokenizer


			def __init__(				self					:  int       ,	snake_case__					:  List[str]=None       ,	snake_case__					:  int=None       ,	snake_case__					:  Union[str, Any]=False       ,	snake_case__					:  Any=True       ,	snake_case__					:  str=False       ,	snake_case__					:  Optional[Any]="<s>"       ,	snake_case__					:  Union[str, Any]="</s>"       ,	snake_case__					:  List[str]="<unk>"       ,	snake_case__					:  int="<sep>"       ,	snake_case__					:  str="<pad>"       ,	snake_case__					:  Optional[int]="<cls>"       ,	snake_case__					:  Union[str, Any]="<mask>"       ,	snake_case__					:  int=["<eop>", "<eod>"]       ,	**snake_case__					:  List[Any]       ,	):
										# Mask token behave like a normal word, i.e. include the space before it
										lowerCamelCase_	:							List[Any]									=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__       ,	)

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


			def      UpperCAmelCase__						(				self					:  Optional[Any]       ,	snake_case__					:  List[int]       ,	snake_case__					:  Optional[List[int]] = None ):
										lowerCamelCase_	:							Tuple									=[self.sep_token_id]
										lowerCamelCase_	:							List[Any]									=[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					:  Dict       ,	snake_case__					:  List[int]       ,	snake_case__					:  Optional[List[int]] = None ):
										lowerCamelCase_	:							str									=[self.sep_token_id]
										lowerCamelCase_	:							Optional[int]									=[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					:  Optional[int]       ,	snake_case__					:  str       ,	snake_case__					:  Optional[str] = None ):
										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
										lowerCamelCase_	:							Any									=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,)











"""simple docstring"""



def 			_snake_case    (					lowerCamelCase__     :   list[list[int]]    ,						lowerCamelCase__     :   int    ,						lowerCamelCase__     :   int    ,						lowerCamelCase__     :   list[int]  )    ->     bool:

							# 1. Validate that path exists between current and next vertices
							if graph[path[curr_ind - 1]][next_ver] == 0:
														return False

							# 2. Validate that next vertex is not already in path
							return not any(vertex == next_ver for vertex in path  )

def 			_snake_case    (					lowerCamelCase__     :   list[list[int]]    ,						lowerCamelCase__     :   list[int]    ,						lowerCamelCase__     :   int  )    ->     bool:

							# Base Case
							if curr_ind == len(lowerCamelCase__  ):
														# return whether path exists between current and starting vertices
														return graph[path[curr_ind - 1]][path[0]] == 1

							# Recursive Step
							for next_ver in range(0    ,						len(lowerCamelCase__  )  ):
														if valid_connection(lowerCamelCase__    ,						lowerCamelCase__    ,						lowerCamelCase__    ,						lowerCamelCase__  ):
																					# Insert current vertex  into path as next transition
																					lowerCamelCase_	:							Tuple									=next_ver
																					# Validate created path
																					if util_hamilton_cycle(lowerCamelCase__    ,						lowerCamelCase__    ,						curr_ind + 1  ):
																												return True
																					# Backtrack
																					lowerCamelCase_	:							int									=-1
							return False

def 			_snake_case    (					lowerCamelCase__     :   list[list[int]]    ,						lowerCamelCase__     :   int = 0  )    ->     list[int]:
							lowerCamelCase_	:							Optional[Any]									=[-1] * (len(lowerCamelCase__  ) + 1)
							# initialize start and end of path with starting index
							lowerCamelCase_	:							Optional[int]									=start_index
							# evaluate and if we find answer return path either return empty array
							return path if util_hamilton_cycle(lowerCamelCase__    ,						lowerCamelCase__    ,						1  ) else []



