



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        _A			(      __UpperCAmelCase ,unittest.TestCase       ):
       UpperCamelCase__    :       Dict		   =		GPTNeoXJapaneseTokenizer
       UpperCamelCase__    :       int		   =		False
       UpperCamelCase__    :       Tuple		   =		{'''do_clean_text''': False, '''add_prefix_space''': False}



       def 						_lowerCamelCase     (						self				:	Dict):


           '''simple docstring'''

           super().setUp()

           __a					=							[
               '''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|>''',
           ]
           __a					=							{'''emoji''': {'''\ud83d\ude00''': '''<|emoji1|>'''}, '''emoji_inv''': {'''<|emoji1|>''': '''\ud83d\ude00'''}}  # 😀
           __a					=							{'''unk_token''': '''<unk>'''}

           __a					=							os.path.join(self.tmpdirname	,						VOCAB_FILES_NAMES['''vocab_file'''])
           __a					=							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(__SCREAMING_SNAKE_CASE))



       def 						_lowerCamelCase     (						self				:	Optional[int]	,						**__SCREAMING_SNAKE_CASE				:	Optional[Any]):


           '''simple docstring'''

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



       def 						_lowerCamelCase     (						self				:	Optional[int]	,						__SCREAMING_SNAKE_CASE				:	List[Any]):


           '''simple docstring'''

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



       def 						_lowerCamelCase     (						self				:	Dict	,						__SCREAMING_SNAKE_CASE				:	Optional[Any]):


           '''simple docstring'''

           __a			,  __a					=							self.get_input_output_texts(__SCREAMING_SNAKE_CASE)
           __a					=							tokenizer.encode(__SCREAMING_SNAKE_CASE	,						add_special_tokens=__SCREAMING_SNAKE_CASE)
           __a					=							tokenizer.decode(__SCREAMING_SNAKE_CASE	,						clean_up_tokenization_spaces=__SCREAMING_SNAKE_CASE)
           return text, ids



       def 						_lowerCamelCase     (						self				:	Any):


           '''simple docstring'''

           pass  # TODO add if relevant



       def 						_lowerCamelCase     (						self				:	int):


           '''simple docstring'''

           pass  # TODO add if relevant



       def 						_lowerCamelCase     (						self				:	str):


           '''simple docstring'''

           pass  # TODO add if relevant



       def 						_lowerCamelCase     (						self				:	Optional[Any]):


           '''simple docstring'''

           __a					=							self.get_tokenizer()

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

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

           # Testing conversion to ids with special tokens
           __a					=							tokens + [tokenizer.unk_token]
           __a					=							[0, 2, 5, 4, 6, 8, 0, 3, 5, 4, 6, 19]
           __a					=							tokenizer.convert_tokens_to_ids(__SCREAMING_SNAKE_CASE)
           self.assertListEqual(__SCREAMING_SNAKE_CASE	,						__SCREAMING_SNAKE_CASE)



       @slow
       def 						_lowerCamelCase     (						self				:	int):


           '''simple docstring'''

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

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

           __a					=							tokenizer.build_inputs_with_special_tokens(__SCREAMING_SNAKE_CASE)
           __a					=							tokenizer.build_inputs_with_special_tokens(__SCREAMING_SNAKE_CASE	,						__SCREAMING_SNAKE_CASE)

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



       def 						_lowerCamelCase     (						self				:	Tuple):


           '''simple docstring'''

           pass





       def 						_lowerCamelCase     (						self				:	Dict):


           '''simple docstring'''

           pass










from __future__ import annotations

class        _A			:



       def __init__(						self				:	str	,						__SCREAMING_SNAKE_CASE				:	int = 0):


           '''simple docstring'''

           __a					=							value
           __a					=							None
           __a					=							None





def 	__snake_case      (     _UpperCAmelCase  ,					_UpperCAmelCase							):
    if treea is None:
        return treea
    if treea is None:
        return treea

    __a					=							treea.value + treea.value
    __a					=							merge_two_binary_trees(treea.left  ,					treea.left							)
    __a					=							merge_two_binary_trees(treea.right  ,					treea.right							)
    return treea





def 	__snake_case      (     _UpperCAmelCase							):
    if root:
        print(root.value							)
        print_preorder(root.left							)
        print_preorder(root.right							)


if __name__ == "__main__":
 __snake_case		:List[Any] 						=	Node(1)
 __snake_case		:Optional[Any] 						=	Node(2)
 __snake_case		:Dict 						=	Node(3)
 __snake_case		:int 						=	Node(4)

 __snake_case		:List[str] 						=	Node(2)
 __snake_case		:List[str] 						=	Node(4)
 __snake_case		:Tuple 						=	Node(6)
 __snake_case		:str 						=	Node(9)
 __snake_case		:List[str] 						=	Node(5)

 print('''Tree1 is: ''')
 print_preorder(treea)
 print('''Tree2 is: ''')
 print_preorder(treea)
 __snake_case		:Union[str, Any] 						=	merge_two_binary_trees(treea, treea)
 print('''Merged Tree is: ''')
 print_preorder(merged_tree)





