






from __future__ import annotations

from queue import Queue



def 							_lowerCamelCase(				__snake_case						,						__snake_case	)  ->   tuple[int, int]:
		a ^= b
		b ^= a
		a ^= b
		return a, b



def 							_lowerCamelCase(				__snake_case						,						__snake_case	)  ->   list[list[int]]:
		__snake_case		       =     1
		while (1 << j) < max_node:
				for i in range(1						,						max_node + 1	):
						__snake_case		       =     parent[j - 1][parent[j - 1][i]]
				j += 1
		return parent



def 							_lowerCamelCase(				__snake_case						,						__snake_case						,						__snake_case						,						__snake_case	)  ->   int:
		# u must be deeper in the tree than v
		if level[u] < level[v]:
				__snake_case		       =     swap(snake_case__						,						snake_case__	)
		# making depth of u same as depth of v
		for i in range(18						,						-1						,						-1	):
				if level[u] - (1 << i) >= level[v]:
						__snake_case		       =     parent[i][u]
    # at the same depth if u==v that mean lca is found
		if u == v:
				return u
		# moving both nodes upwards till lca in found
		for i in range(18						,						-1						,						-1	):
				if parent[i][u] not in [0, parent[i][v]]:
						__snake_case		       =     parent[i][u], parent[i][v]
    # returning longest common ancestor of u,v
		return parent[0][u]



def 							_lowerCamelCase(				__snake_case						,						__snake_case						,						__snake_case						,						__snake_case						,						__snake_case = 1						,						)  ->   tuple[list[int], list[list[int]]]:
		__snake_case		       =     0
		__snake_case		       =     Queue(maxsize=snake_case__	)
		q.put(snake_case__	)
		while q.qsize() != 0:
				__snake_case		       =     q.get()
				for v in graph[u]:
						if level[v] == -1:
								__snake_case		       =     level[u] + 1
								q.put(snake_case__	)
								__snake_case		       =     u
		return level, parent



def 							_lowerCamelCase(				)  ->   None:
		__snake_case		       =     13
		# initializing with 0
		__snake_case		       =     [[0 for _ in range(max_node + 10	)] for _ in range(20	)]
		# initializing with -1 which means every node is unvisited
		__snake_case		       =     [-1 for _ in range(max_node + 10	)]
		__snake_case		       =     {
		    1: [2, 3, 4],
		    2: [5],
		    3: [6, 7],
		    4: [8],
		    5: [9, 10],
		    6: [11],
		    7: [],
		    8: [12, 13],
		    9: [],
		    10: [],
		    11: [],
		    12: [],
		    13: [],
		}
		__snake_case		       =     breadth_first_search(snake_case__						,						snake_case__						,						snake_case__						,						snake_case__						,						1	)
		__snake_case		       =     create_sparse(snake_case__						,						snake_case__	)
		print("LCA of node 1 and 3 is: "						,						lowest_common_ancestor(1						,						3						,						snake_case__						,						snake_case__	)	)
		print("LCA of node 5 and 6 is: "						,						lowest_common_ancestor(5						,						6						,						snake_case__						,						snake_case__	)	)
		print("LCA of node 7 and 11 is: "						,						lowest_common_ancestor(7						,						11						,						snake_case__						,						snake_case__	)	)
		print("LCA of node 6 and 7 is: "						,						lowest_common_ancestor(6						,						7						,						snake_case__						,						snake_case__	)	)
		print("LCA of node 4 and 12 is: "						,						lowest_common_ancestor(4						,						12						,						snake_case__						,						snake_case__	)	)
		print("LCA of node 8 and 8 is: "						,						lowest_common_ancestor(8						,						8						,						snake_case__						,						snake_case__	)	)


if __name__ == "__main__":
		main()






import os
from shutil import copyfile
from typing import Optional, Tuple

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import is_sentencepiece_available, logging


if is_sentencepiece_available():
		from .tokenization_reformer import ReformerTokenizer
else:
		lowerCamelCase__           =				None


lowerCamelCase__           =				logging.get_logger(__name__)


lowerCamelCase__           =				'▁'

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

lowerCamelCase__           =				{
    'vocab_file': {
        'google/reformer-crime-and-punishment': (
            'https://huggingface.co/google/reformer-crime-and-punishment/resolve/main/spiece.model'
        )
    },
    'tokenizer_file': {
        'google/reformer-crime-and-punishment': (
            'https://huggingface.co/google/reformer-crime-and-punishment/resolve/main/tokenizer.json'
        )
    },
}

lowerCamelCase__           =				{
    'google/reformer-crime-and-punishment': 52_42_88,
}




class 					UpperCamelCase	(     snake_case__      ):
					__UpperCamelCase						=   VOCAB_FILES_NAMES
					__UpperCamelCase						=   PRETRAINED_VOCAB_FILES_MAP
					__UpperCamelCase						=   PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
					__UpperCamelCase						=   ["""input_ids""", """attention_mask"""]
					__UpperCamelCase						=   ReformerTokenizer




					def __init__( self :					Tuple      ,_lowerCAmelCase :					Dict=None      ,_lowerCAmelCase :					Union[str, Any]=None      ,_lowerCAmelCase :					int="</s>"      ,_lowerCAmelCase :					Dict="<unk>"      ,_lowerCAmelCase :					Dict=[]      ,**_lowerCAmelCase :					Optional[Any]      ,):


							"""simple docstring"""




							super().__init__(
							    _lowerCAmelCase      ,tokenizer_file=_lowerCAmelCase      ,eos_token=_lowerCAmelCase      ,unk_token=_lowerCAmelCase      ,additional_special_tokens=_lowerCAmelCase      ,**_lowerCAmelCase      ,)

							__snake_case		       =     vocab_file
							__snake_case		       =     False if not self.vocab_file else True







					def 							UpperCamelCase_						( self :					Dict      ,_lowerCAmelCase :					str      ,_lowerCAmelCase :					Optional[str] = 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(_lowerCAmelCase						):
									logger.error(F"""Vocabulary path ({save_directory}) should be a directory"""						)
									return
							__snake_case		       =     os.path.join(
							    _lowerCAmelCase      ,(filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"]						)

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

							return (out_vocab_file,)





