






import os
import unittest

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

from ...test_tokenization_common import TokenizerTesterMixin





class     SCREAMING_SNAKE_CASE					(			a_	,						unittest.TestCase       ):





							"""simple docstring"""

							A_    	=       PhobertTokenizer
							A_    	=       False

							def    __A			(	self: str )     ->					Tuple:
												super().setUp()

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

												_A										=			os.path.join(self.tmpdirname		,  VOCAB_FILES_NAMES['''vocab_file'''] )
												_A										=			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(lowercase_ ) )

							def    __A			(	self: Optional[Any]		,  **__A: str )     ->					List[Any]:
												kwargs.update(self.special_tokens_map )
												return PhobertTokenizer.from_pretrained(self.tmpdirname		,  **lowercase_ )

							def    __A			(	self: int		,  __A: Dict )     ->					Optional[int]:
												_A										=			'''Tôi là VinAI Research'''
												_A										=			'''T<unk> i <unk> <unk> <unk> <unk> <unk> <unk> I Re<unk> e<unk> <unk> <unk> <unk>'''
												return input_text, output_text



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

												_A										=			tokens + [tokenizer.unk_token]

												_A										=			[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(lowercase_ )		,  lowercase_ )






"""simple docstring"""





def     __SCREAMING_SNAKE_CASE    ( A_					):
	lowerCAmelCase__      :		Any    							=      int(A_					)
	if decimal in (0, 1):  # Exit cases for the recursion
		return str(A_					)
	lowerCAmelCase__							,lowerCAmelCase__      :		Any    							=      divmod(A_		,	2					)
	return binary_recursive(A_					) + str(A_					)

def     __SCREAMING_SNAKE_CASE    ( A_					):
	lowerCAmelCase__      :		Union[str, Any]    							=      str(A_					).strip()
	if not number:
		raise ValueError('''No input value was provided'''					)
	lowerCAmelCase__      :		Any    							=      '''-''' if number.startswith('''-'''					) else ''''''
	lowerCAmelCase__      :		Dict    							=      number.lstrip('''-'''					)
	if not number.isnumeric():
		raise ValueError('''Input value is not an integer'''					)
	return f'{negative}0b{binary_recursive(int(A_					)					)}'


if __name__ == "__main__":
							from doctest import testmod

							testmod()




