




import unittest

from transformers import SPIECE_UNDERLINE, ReformerTokenizer, ReformerTokenizerFast
from transformers.testing_utils import get_tests_dir, require_sentencepiece, require_tokenizers, require_torch, slow
from transformers.utils import cached_property

from ...test_tokenization_common import TokenizerTesterMixin


lowerCAmelCase_						 =					get_tests_dir('fixtures/test_sentencepiece.model')
@require_sentencepiece
@require_tokenizers
class 		_A   (    __snake_case     ,  unittest.TestCase ):
  _UpperCamelCase  :     Any					=     ReformerTokenizer
  _UpperCamelCase  :     Union[str, Any]					=     ReformerTokenizerFast
  _UpperCamelCase  :     str					=     True
  _UpperCamelCase  :     Any					=     False
  _UpperCamelCase  :     List[Any]					=     True






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






       """simple docstring"""







       super().setUp()

       lowercase   :  int        =					ReformerTokenizer(_A ,		keep_accents=_A )
       tokenizer.save_pretrained(self.tmpdirname )






  def    __a     (    self						:      str )						->       str:






       """simple docstring"""







       lowercase   :  str        =					"<s>"
       lowercase   :  str        =					1

       self.assertEqual(self.get_tokenizer()._convert_token_to_id(_A ) ,		_A )
       self.assertEqual(self.get_tokenizer()._convert_id_to_token(_A ) ,		_A )






  def    __a     (    self						:      str )						->       Any:






       """simple docstring"""







       lowercase   :  Union[str, Any]        =					list(self.get_tokenizer().get_vocab().keys() )

       self.assertEqual(vocab_keys[0] ,		'''<unk>''' )
       self.assertEqual(vocab_keys[1] ,		'''<s>''' )
       self.assertEqual(vocab_keys[-1] ,		'''j''' )
       self.assertEqual(len(_A ) ,		1_000 )






  def    __a     (    self						:      Tuple )						->       List[Any]:






       """simple docstring"""







       self.assertEqual(self.get_tokenizer().vocab_size ,		1_000 )






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






       """simple docstring"""







       if not self.test_rust_tokenizer:
            return

       lowercase   :  Union[str, Any]        =					self.get_tokenizer()
       lowercase   :  Union[str, Any]        =					self.get_rust_tokenizer()

       lowercase   :  int        =					"I was born in 92000, and this is falsé."

       lowercase   :  Optional[int]        =					tokenizer.tokenize(_A )
       lowercase   :  str        =					rust_tokenizer.tokenize(_A )
       self.assertListEqual(_A ,		_A )

       lowercase   :  Optional[Any]        =					tokenizer.encode(_A ,		add_special_tokens=_A )
       lowercase   :  Optional[Any]        =					rust_tokenizer.encode(_A ,		add_special_tokens=_A )
       self.assertListEqual(_A ,		_A )

       lowercase   :  Dict        =					self.get_rust_tokenizer()
       lowercase   :  Tuple        =					tokenizer.encode(_A )
       lowercase   :  Optional[int]        =					rust_tokenizer.encode(_A )
       self.assertListEqual(_A ,		_A )






  def    __a     (    self						:      Any ,		_A						:      List[Any]=15 )						->       int:






       """simple docstring"""







       for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
            with self.subTest(f"""{tokenizer.__class__.__name__} ({pretrained_name})""" ):
                 lowercase   :  Union[str, Any]        =					self.rust_tokenizer_class.from_pretrained(_A ,		**_A )

                 # Simple input
                 lowercase   :  Optional[int]        =					"This is a simple input"
                 lowercase   :  Union[str, Any]        =					["This is a simple input 1", "This is a simple input 2"]
                 lowercase   :  Dict        =					("This is a simple input", "This is a pair")
                 lowercase   :  Any        =					[
                     ("This is a simple input 1", "This is a simple input 2"),
                     ("This is a simple pair 1", "This is a simple pair 2"),
                 ]

                 # Simple input tests
                 self.assertRaises(_A ,		tokenizer_r.encode ,		_A ,		max_length=_A ,		padding='''max_length''' )

                 # Simple input
                 self.assertRaises(_A ,		tokenizer_r.encode_plus ,		_A ,		max_length=_A ,		padding='''max_length''' )

                 # Simple input
                 self.assertRaises(
                     _A ,		tokenizer_r.batch_encode_plus ,		_A ,		max_length=_A ,		padding='''max_length''' ,		)

                 # Pair input
                 self.assertRaises(_A ,		tokenizer_r.encode ,		_A ,		max_length=_A ,		padding='''max_length''' )

                 # Pair input
                 self.assertRaises(_A ,		tokenizer_r.encode_plus ,		_A ,		max_length=_A ,		padding='''max_length''' )

                 # Pair input
                 self.assertRaises(
                     _A ,		tokenizer_r.batch_encode_plus ,		_A ,		max_length=_A ,		padding='''max_length''' ,		)






  def    __a     (    self						:      Tuple )						->       List[str]:






       """simple docstring"""







       pass






  def    __a     (    self						:      List[Any] )						->       Optional[Any]:






       """simple docstring"""







       lowercase   :  Optional[int]        =					ReformerTokenizer(_A ,		keep_accents=_A )

       lowercase   :  Union[str, Any]        =					tokenizer.tokenize('''This is a test''' )
       self.assertListEqual(_A ,		['''▁This''', '''▁is''', '''▁a''', '''▁t''', '''est'''] )

       self.assertListEqual(
           tokenizer.convert_tokens_to_ids(_A ) ,		[285, 46, 10, 170, 382] ,		)

       lowercase   :  str        =					tokenizer.tokenize('''I was born in 92000, and this is falsé.''' )
       self.assertListEqual(
           _A ,		[
               SPIECE_UNDERLINE + '''I''',
               SPIECE_UNDERLINE + '''was''',
               SPIECE_UNDERLINE + '''b''',
               '''or''',
               '''n''',
               SPIECE_UNDERLINE + '''in''',
               SPIECE_UNDERLINE + '''''',
               '''9''',
               '''2''',
               '''0''',
               '''0''',
               '''0''',
               ''',''',
               SPIECE_UNDERLINE + '''and''',
               SPIECE_UNDERLINE + '''this''',
               SPIECE_UNDERLINE + '''is''',
               SPIECE_UNDERLINE + '''f''',
               '''al''',
               '''s''',
               '''é''',
               '''.''',
           ] ,		)
       lowercase   :  int        =					tokenizer.convert_tokens_to_ids(_A )
       self.assertListEqual(
           _A ,		[8, 21, 84, 55, 24, 19, 7, 0, 602, 347, 347, 347, 3, 12, 66, 46, 72, 80, 6, 0, 4] ,		)

       lowercase   :  int        =					tokenizer.convert_ids_to_tokens(_A )
       self.assertListEqual(
           _A ,		[
               SPIECE_UNDERLINE + '''I''',
               SPIECE_UNDERLINE + '''was''',
               SPIECE_UNDERLINE + '''b''',
               '''or''',
               '''n''',
               SPIECE_UNDERLINE + '''in''',
               SPIECE_UNDERLINE + '''''',
               '''<unk>''',
               '''2''',
               '''0''',
               '''0''',
               '''0''',
               ''',''',
               SPIECE_UNDERLINE + '''and''',
               SPIECE_UNDERLINE + '''this''',
               SPIECE_UNDERLINE + '''is''',
               SPIECE_UNDERLINE + '''f''',
               '''al''',
               '''s''',
               '''<unk>''',
               '''.''',
           ] ,		)






  @cached_property
  def    __a     (    self						:      Union[str, Any] )						->       List[Any]:






       """simple docstring"""







       return ReformerTokenizer.from_pretrained('''google/reformer-crime-and-punishment''' )






  @slow
  def    __a     (    self						:      int )						->       Dict:






       """simple docstring"""







       lowercase   :  str        =					"Hello World!"
       lowercase   :  List[Any]        =					[126, 32, 262, 152, 38, 72, 287]

       self.assertListEqual(_A ,		self.big_tokenizer.encode(_A ) )






  @slow
  def    __a     (    self						:      Tuple )						->       Any:






       """simple docstring"""







       lowercase   :  str        =					(
           "This is a very long text with a lot of weird characters, such as: . , ~ ? ( ) \" [ ] ! : - . Also we will"
           " add words that should not exsist and be tokenized to <unk>, such as saoneuhaoesuth"
       )
       lowercase   :  Tuple        =					[
           108,
           265,
           24,
           111,
           4,
           258,
           156,
           35,
           28,
           275,
           3,
           259,
           297,
           260,
           84,
           4,
           35,
           110,
           44,
           8,
           259,
           91,
           268,
           21,
           11,
           209,
           274,
           109,
           266,
           277,
           117,
           86,
           93,
           315,
           258,
           278,
           258,
           277,
           258,
           0,
           258,
           288,
           258,
           319,
           258,
           0,
           258,
           0,
           258,
           0,
           258,
           0,
           258,
           287,
           258,
           315,
           258,
           289,
           258,
           278,
           99,
           269,
           266,
           262,
           8,
           259,
           241,
           4,
           217,
           230,
           268,
           266,
           55,
           168,
           106,
           75,
           193,
           266,
           223,
           27,
           49,
           26,
           282,
           25,
           264,
           299,
           19,
           26,
           0,
           258,
           277,
           117,
           86,
           93,
           176,
           183,
           270,
           11,
           262,
           42,
           61,
           265,
       ]

       self.assertListEqual(_A ,		self.big_tokenizer.encode(_A ) )






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






       """simple docstring"""







       import torch

       from transformers import ReformerConfig, ReformerModel

       # Build sequence
       lowercase   :  Tuple        =					list(self.big_tokenizer.get_vocab().keys() )[:10]
       lowercase   :  List[str]        =					" ".join(_A )
       lowercase   :  Optional[Any]        =					self.big_tokenizer.encode_plus(_A ,		return_tensors='''pt''' )
       lowercase   :  List[Any]        =					self.big_tokenizer.batch_encode_plus([sequence, sequence] ,		return_tensors='''pt''' )

       lowercase   :  str        =					ReformerConfig()
       # The input gets padded during training so adjust the axial position encodings from the pretrained model value of (512, 1024)
       lowercase   :  Optional[int]        =					encoded_sequence["input_ids"].shape
       lowercase   :  List[Any]        =					ReformerModel(_A )

       # Reformer has config.vocab_size == tokenizer.vocab_size == len(tokenizer) - 1 = 320; len(tokenizer) is 321 (including a pad token with id 320)
       assert model.get_input_embeddings().weight.shape[0] >= self.big_tokenizer.vocab_size

       with torch.no_grad():
            model(**_A )
            model(**_A )






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






       """simple docstring"""







       lowercase   :  List[str]        =					{"input_ids": [[108, 265, 24, 111, 4, 258, 156, 7, 51, 279, 58, 7, 76, 25, 69, 278], [140, 243, 264, 134, 17, 267, 77, 263, 22, 262, 297, 258, 304, 177, 279, 266, 14, 89, 13, 35, 261, 299, 272, 137, 275, 278]], "attention_mask": [[1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]]}  # noqa: E501
       # fmt: on

       # This tokenizer does not know some characters like ")".
       # That is the reason why we use very simple texts here.
       # Also see https://github.com/huggingface/transformers/pull/11737#issuecomment-850769064
       lowercase   :  str        =					[
           "This is a very simple sentence.",
           "The quick brown fox jumps over the lazy dog.",
       ]

       self.tokenizer_integration_test_util(
           expected_encoding=_A ,		model_name='''google/reformer-crime-and-punishment''' ,		revision='''0e6c3decb8211d49bf881013425dc8b0448b3f5a''' ,		padding=_A ,		sequences=_A ,		)

def 		UpperCamelCase     (       _UpperCAmelCase  :   str  )   ->			bool:






						'''simple docstring'''

						_lowercase       :	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__":
							UpperCamelCase_						:     Dict	       =							input().strip()
							UpperCamelCase_						:     List[Any]	       =							"""valid""" if is_ip_va_address_valid(ip) else """invalid"""
							print(f'''{ip} is a {valid_or_invalid} IP v4 address.''')




