




import os
import unittest

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

from ...test_tokenization_common import TokenizerTesterMixin
class        __snake_case  (_a						,	unittest.TestCase		):
				lowerCAmelCase__				=     PhobertTokenizer
				lowerCAmelCase__				=     False



				def       SCREAMING_SNAKE_CASE       (      self      :		str      )  ->    Tuple:





								'''simple docstring'''




								super().setUp()

								# Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
								_lowerCAmelCase    :    Union[str, Any]										=      ["""T@@""", """i""", """I""", """R@@""", """r""", """e@@"""]
								_lowerCAmelCase    :    Union[str, Any]										=      dict(zip(_UpperCAmelCase		,	range(len(_UpperCAmelCase      )      )      )      )
								_lowerCAmelCase    :    Tuple										=      ["""#version: 0.2""", """l à</w>"""]
								_lowerCAmelCase    :    Any										=      {"""unk_token""": """<unk>"""}

								_lowerCAmelCase    :    Tuple										=      os.path.join(self.tmpdirname		,	VOCAB_FILES_NAMES["""vocab_file"""]      )
								_lowerCAmelCase    :    str										=      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       SCREAMING_SNAKE_CASE       (      self      :		List[str]		,	**_UpperCAmelCase      :		int      )  ->    List[str]:





								'''simple docstring'''




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



				def       SCREAMING_SNAKE_CASE       (      self      :		List[Any]		,	_UpperCAmelCase      :		Union[str, Any]      )  ->    int:





								'''simple docstring'''




								_lowerCAmelCase    :    Optional[Any]										=      """Tôi là VinAI Research"""
								_lowerCAmelCase    :    Optional[Any]										=      """T<unk> i <unk> <unk> <unk> <unk> <unk> <unk> I Re<unk> e<unk> <unk> <unk> <unk>"""
								return input_text, output_text



				def       SCREAMING_SNAKE_CASE       (      self      :		Union[str, Any]      )  ->    List[Any]:





								'''simple docstring'''




								_lowerCAmelCase    :    Optional[int]										=      PhobertTokenizer(self.vocab_file		,	self.merges_file		,	**self.special_tokens_map      )
								_lowerCAmelCase    :    Optional[int]										=      """Tôi là VinAI Research"""
								_lowerCAmelCase    :    Tuple										=      """T@@ ô@@ i l@@ à V@@ i@@ n@@ A@@ I R@@ e@@ s@@ e@@ a@@ r@@ c@@ h""".split()
								_lowerCAmelCase    :    Union[str, Any]										=      tokenizer.tokenize(_UpperCAmelCase      )
								print(_UpperCAmelCase      )
								self.assertListEqual(_UpperCAmelCase		,	_UpperCAmelCase      )

								_lowerCAmelCase    :    List[str]										=      tokens + [tokenizer.unk_token]

								_lowerCAmelCase    :    Dict										=      [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      )







def 							_UpperCAmelCase  (UpperCamelCase_ : str       ):
				'''simple docstring'''
				_lowerCAmelCase    :    List[str]										=      [int(UpperCamelCase_       ) for i in ip_va_address.split("""."""       ) if i.isdigit()]
				return len(UpperCamelCase_       ) == 4 and all(0 <= int(UpperCamelCase_       ) <= 254 for octet in octets       )


if __name__ == "__main__":
	_lowerCamelCase      :  List[str]      						=						input().strip()
	_lowerCamelCase      :  int      						=						"valid" if is_ip_va_address_valid(ip) else "invalid"
	print(F'''{ip} is a {valid_or_invalid} IP v4 address.''')

