
from __future__ import annotations

from queue import Queue


def       a			(   a		,	a  )    ->tuple[int, int]:




			'''simple docstring'''


			a ^= b
			b ^= a
			a ^= b
			return a, b


def       a			(   a		,	a  )    ->list[list[int]]:




			'''simple docstring'''


			SCREAMING_SNAKE_CASE    	=   1
			while (1 << j) < max_node:
						for i in range(1		,	max_node + 1  ):
									SCREAMING_SNAKE_CASE    	=   parent[j - 1][parent[j - 1][i]]
						j += 1
			return parent


def       a			(   a		,	a		,	a		,	a  )    ->int:




			'''simple docstring'''


			if level[u] < level[v]:
						SCREAMING_SNAKE_CASE	,       SCREAMING_SNAKE_CASE    	=   swap(a		,	a  )
			# making depth of u same as depth of v
			for i in range(18		,	-1		,	-1  ):
						if level[u] - (1 << i) >= level[v]:
									SCREAMING_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]]:
									SCREAMING_SNAKE_CASE	,       SCREAMING_SNAKE_CASE    	=   parent[i][u], parent[i][v]
    # returning longest common ancestor of u,v
			return parent[0][u]


def       a			(   a		,	a		,	a		,	a		,	a = 1		,	)    ->tuple[list[int], list[list[int]]]:




			'''simple docstring'''


			SCREAMING_SNAKE_CASE    	=   0
			SCREAMING_SNAKE_CASE    	=   Queue(maxsize=a  )
			q.put(a  )
			while q.qsize() != 0:
						SCREAMING_SNAKE_CASE    	=   q.get()
						for v in graph[u]:
									if level[v] == -1:
												SCREAMING_SNAKE_CASE    	=   level[u] + 1
												q.put(a  )
												SCREAMING_SNAKE_CASE    	=   u
			return level, parent


def       a			(   )    ->None:




			'''simple docstring'''


			SCREAMING_SNAKE_CASE    	=   13
			# initializing with 0
			SCREAMING_SNAKE_CASE    	=   [[0 for _ in range(max_node + 10  )] for _ in range(20  )]
			# initializing with -1 which means every node is unvisited
			SCREAMING_SNAKE_CASE    	=   [-1 for _ in range(max_node + 10  )]
			SCREAMING_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: [],
			}
			SCREAMING_SNAKE_CASE	,       SCREAMING_SNAKE_CASE    	=   breadth_first_search(a		,	a		,	a		,	a		,	1  )
			SCREAMING_SNAKE_CASE    	=   create_sparse(a		,	a  )
			print('''LCA of node 1 and 3 is: '''		,	lowest_common_ancestor(1		,	3		,	a		,	a  )  )
			print('''LCA of node 5 and 6 is: '''		,	lowest_common_ancestor(5		,	6		,	a		,	a  )  )
			print('''LCA of node 7 and 11 is: '''		,	lowest_common_ancestor(7		,	11		,	a		,	a  )  )
			print('''LCA of node 6 and 7 is: '''		,	lowest_common_ancestor(6		,	7		,	a		,	a  )  )
			print('''LCA of node 4 and 12 is: '''		,	lowest_common_ancestor(4		,	12		,	a		,	a  )  )
			print('''LCA of node 8 and 8 is: '''		,	lowest_common_ancestor(8		,	8		,	a		,	a  )  )


if __name__ == "__main__":
							main()

import json
import os
import unittest

from transformers.models.gpt_neox_japanese.tokenization_gpt_neox_japanese import (
    VOCAB_FILES_NAMES,
    GPTNeoXJapaneseTokenizer,
)
from transformers.testing_utils import require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin





@require_tokenizers
class 						lowerCamelCase			(					__lowerCamelCase   ,		unittest.TestCase				):
	UpperCamelCase_     :				List[str]								=  GPTNeoXJapaneseTokenizer
	UpperCamelCase_     :				List[Any]								=  False
	UpperCamelCase_     :				int								=  {'do_clean_text': False, 'add_prefix_space': False}







	def    snake_case__    (    self			:Optional[int] )		->			Union[str, Any]:







				"""simple docstring"""






				super().setUp()

				SCREAMING_SNAKE_CASE    	=   [
				    '''こん''',
				    '''こんに''',
				    '''にちは''',
				    '''ばんは''',
				    '''世界,㔺界''',
				    '''、''',
				    '''。''',
				    '''<BR>''',
				    '''<SP>''',
				    '''<TAB>''',
				    '''<URL>''',
				    '''<EMAIL>''',
				    '''<TEL>''',
				    '''<DATE>''',
				    '''<PRICE>''',
				    '''<BLOCK>''',
				    '''<KIGOU>''',
				    '''<U2000U2BFF>''',
				    '''<|emoji1|>''',
				    '''<unk>''',
				    '''<|startoftext|>''',
				    '''<|endoftext|>''',
				]
				SCREAMING_SNAKE_CASE    	=   {'''emoji''': {'''\ud83d\ude00''': '''<|emoji1|>'''}, '''emoji_inv''': {'''<|emoji1|>''': '''\ud83d\ude00'''}}  # 😀
				SCREAMING_SNAKE_CASE    	=   {'''unk_token''': '''<unk>'''}

				SCREAMING_SNAKE_CASE    	=   os.path.join(self.tmpdirname      ,    VOCAB_FILES_NAMES['''vocab_file'''] )
				SCREAMING_SNAKE_CASE    	=   os.path.join(self.tmpdirname      ,    VOCAB_FILES_NAMES['''emoji_file'''] )
				with open(self.vocab_file      ,    '''w'''      ,    encoding='''utf-8''' ) as vocab_writer:
							vocab_writer.write(''''''.join([x + '''\n''' for x in vocab_tokens] ) )
				with open(self.emoji_file      ,    '''w''' ) as emoji_writer:
							emoji_writer.write(json.dumps(lowercase ) )







	def    snake_case__    (    self			:Dict      ,    **lowercase			:Optional[int] )		->			int:







				"""simple docstring"""






				kwargs.update(self.special_tokens_map )
				return GPTNeoXJapaneseTokenizer.from_pretrained(self.tmpdirname      ,    **lowercase )







	def    snake_case__    (    self			:Dict      ,    lowercase			:Union[str, Any] )		->			List[str]:







				"""simple docstring"""






				SCREAMING_SNAKE_CASE    	=   '''こんにちは、世界。 \nこんばんは、㔺界。😀'''
				SCREAMING_SNAKE_CASE    	=   '''こんにちは、世界。 \nこんばんは、世界。😀'''
				return input_text, output_text







	def    snake_case__    (    self			:Optional[int]      ,    lowercase			:Union[str, Any] )		->			List[str]:







				"""simple docstring"""






				SCREAMING_SNAKE_CASE	,       SCREAMING_SNAKE_CASE    	=   self.get_input_output_texts(lowercase )
				SCREAMING_SNAKE_CASE    	=   tokenizer.encode(lowercase      ,    add_special_tokens=lowercase )
				SCREAMING_SNAKE_CASE    	=   tokenizer.decode(lowercase      ,    clean_up_tokenization_spaces=lowercase )
				return text, ids







	def    snake_case__    (    self			:Dict )		->			int:







				"""simple docstring"""






				pass  # TODO add if relevant







	def    snake_case__    (    self			:List[str] )		->			List[str]:







				"""simple docstring"""






				pass  # TODO add if relevant







	def    snake_case__    (    self			:Optional[Any] )		->			Union[str, Any]:







				"""simple docstring"""






				pass  # TODO add if relevant







	def    snake_case__    (    self			:Optional[Any] )		->			Dict:







				"""simple docstring"""






				SCREAMING_SNAKE_CASE    	=   self.get_tokenizer()

				# Testing tokenization
				SCREAMING_SNAKE_CASE    	=   '''こんにちは、世界。　こんばんは、㔺界。'''
				SCREAMING_SNAKE_CASE    	=   ['''こん''', '''にちは''', '''、''', '''世界''', '''。''', '''<SP>''', '''こん''', '''ばんは''', '''、''', '''㔺界''', '''。''']
				SCREAMING_SNAKE_CASE    	=   tokenizer.tokenize(lowercase )
				self.assertListEqual(lowercase      ,    lowercase )

				# Testing conversion to ids without special tokens
				SCREAMING_SNAKE_CASE    	=   [0, 2, 5, 4, 6, 8, 0, 3, 5, 4, 6]
				SCREAMING_SNAKE_CASE    	=   tokenizer.convert_tokens_to_ids(lowercase )
				self.assertListEqual(lowercase      ,    lowercase )

				# Testing conversion to ids with special tokens
				SCREAMING_SNAKE_CASE    	=   tokens + [tokenizer.unk_token]
				SCREAMING_SNAKE_CASE    	=   [0, 2, 5, 4, 6, 8, 0, 3, 5, 4, 6, 1_9]
				SCREAMING_SNAKE_CASE    	=   tokenizer.convert_tokens_to_ids(lowercase )
				self.assertListEqual(lowercase      ,    lowercase )







	@slow
	def    snake_case__    (    self			:str )		->			Union[str, Any]:







				"""simple docstring"""






				SCREAMING_SNAKE_CASE    	=   self.tokenizer_class.from_pretrained('''abeja/gpt-neox-japanese-2.7b''' )

				SCREAMING_SNAKE_CASE    	=   tokenizer.encode('''ありがとう。'''      ,    add_special_tokens=lowercase )
				SCREAMING_SNAKE_CASE    	=   tokenizer.encode('''どういたしまして。'''      ,    add_special_tokens=lowercase )

				SCREAMING_SNAKE_CASE    	=   tokenizer.build_inputs_with_special_tokens(lowercase )
				SCREAMING_SNAKE_CASE    	=   tokenizer.build_inputs_with_special_tokens(lowercase      ,    lowercase )

				assert encoded_sentence == ids_a
				assert encoded_pair == ids_a + ids_a







	def    snake_case__    (    self			:List[Any] )		->			Dict:







				"""simple docstring"""






				pass







	def    snake_case__    (    self			:Any )		->			str:







				"""simple docstring"""






				pass