





'''simple docstring'''






import os
import unittest

from transformers.models.phobert.tokenization_phobert import VOCAB_FILES_NAMES, PhobertTokenizer

from ...test_tokenization_common import TokenizerTesterMixin


class   _lowercase						(							a		,					unittest.TestCase				):
   _UpperCamelCase       		=   PhobertTokenizer
   _UpperCamelCase       		=   False


   def 					snake_case				( self					):
       super().setUp()

       # Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
       A       :       int							=						['''T@@''', '''i''', '''I''', '''R@@''', '''r''', '''e@@''']
       A       :       int							=						dict(zip(_UpperCAmelCase    ,   range(len(_UpperCAmelCase					)					)					)					)
       A       :       int							=						['''#version: 0.2''', '''l à</w>''']
       A       :       List[str]							=						{'''unk_token''': '''<unk>'''}

       A       :       int							=						os.path.join(self.tmpdirname    ,   VOCAB_FILES_NAMES['''vocab_file''']					)
       A       :       Any							=						os.path.join(self.tmpdirname    ,   VOCAB_FILES_NAMES['''merges_file''']					)

       with open(self.vocab_file    ,   '''w'''    ,   encoding='''utf-8'''					) as fp:
           for token in vocab_tokens:
               fp.write(f'''{token} {vocab_tokens[token]}\n'''					)
       with open(self.merges_file    ,   '''w'''    ,   encoding='''utf-8'''					) as fp:
           fp.write('''\n'''.join(_UpperCAmelCase					)					)


   def 					snake_case				( self    ,   **_UpperCAmelCase					):
       kwargs.update(self.special_tokens_map					)
       return PhobertTokenizer.from_pretrained(self.tmpdirname    ,   **_UpperCAmelCase					)


   def 					snake_case				( self    ,   _UpperCAmelCase					):
       A       :       Optional[int]							=						'''Tôi là VinAI Research'''
       A       :       Any							=						'''T<unk> i <unk> <unk> <unk> <unk> <unk> <unk> I Re<unk> e<unk> <unk> <unk> <unk>'''
       return input_text, output_text


   def 					snake_case				( self					):
       A       :       Dict							=						PhobertTokenizer(self.vocab_file    ,   self.merges_file    ,   **self.special_tokens_map					)
       A       :       Dict							=						'''Tôi là VinAI Research'''
       A       :       Union[str, Any]							=						'''T@@ ô@@ i l@@ à V@@ i@@ n@@ A@@ I R@@ e@@ s@@ e@@ a@@ r@@ c@@ h'''.split()
       A       :       int							=						tokenizer.tokenize(_UpperCAmelCase					)
       print(_UpperCAmelCase					)
       self.assertListEqual(_UpperCAmelCase    ,   _UpperCAmelCase					)

       A       :       Tuple							=						tokens + [tokenizer.unk_token]

       A       :       List[Any]							=						[4, 3, 5, 3, 3, 3, 3, 3, 3, 6, 7, 9, 3, 9, 3, 3, 3, 3, 3]
       self.assertListEqual(tokenizer.convert_tokens_to_ids(_UpperCAmelCase					)    ,   _UpperCAmelCase					)







'''simple docstring'''






from __future__ import annotations


class   _lowercase						:


   def __init__( self    ,   _UpperCAmelCase					):
       A       :       str							=						data
       A       :       Node | None							=						None
       A       :       Node | None							=						None







def 							_lowerCamelCase(  UpperCamelCase__    : Node | None		)		->  None:  # In Order traversal of the tree
    if tree:
        display(tree.left		)
        print(tree.data		)
        display(tree.right		)
def 							_lowerCamelCase(  UpperCamelCase__    : Node | None		)		->  int:
    return 1 + max(depth_of_tree(tree.left		)    ,       depth_of_tree(tree.right		)		) if tree else 0
def 							_lowerCamelCase(  UpperCamelCase__    : Node		)		->  bool:
    if not tree:
        return True
    if tree.left and tree.right:
        return is_full_binary_tree(tree.left		) and is_full_binary_tree(tree.right		)
    else:
        return not tree.left and not tree.right
def 							_lowerCamelCase(  )		->  None:  # Main function for testing.
    A       :       Optional[int]							=						Node(1		)
    A       :       Tuple							=						Node(2		)
    A       :       Dict							=						Node(3		)
    A       :       List[str]							=						Node(4		)
    A       :       Union[str, Any]							=						Node(5		)
    A       :       str							=						Node(6		)
    A       :       Any							=						Node(7		)
    A       :       str							=						Node(8		)
    A       :       Optional[int]							=						Node(9		)

    print(is_full_binary_tree(UpperCamelCase__		)		)
    print(depth_of_tree(UpperCamelCase__		)		)
    print('''Tree is: '''		)
    display(UpperCamelCase__		)


if __name__ == "__main__":
     main()
