






def     snake_case   (UpperCAmelCase__    )			->							Union[str, Any]:
  UpperCamelCase_:   Optional[Any]        =							[]
  UpperCamelCase_:   Optional[int]        =							set({'(', '[', '{'}    )
  UpperCamelCase_:   Optional[int]        =							set({')', ']', '}'}    )
  UpperCamelCase_:   List[Any]        =							{"{": "}", "[": "]", "(": ")"}

  for i in range(len(lowerCamelCase_    )    ):
    if s[i] in open_brackets:
      stack.append(s[i]    )

    elif s[i] in closed_brackets and (
        len(lowerCamelCase_    ) == 0 or (len(lowerCamelCase_    ) > 0 and open_to_closed[stack.pop()] != s[i])
    ):
      return False

  return len(lowerCamelCase_    ) == 0

def     snake_case   ()			->							Optional[Any]:
  UpperCamelCase_:   List[Any]        =							input('Enter sequence of brackets: '    )
  if is_balanced(lowerCamelCase_    ):
    print(lowerCamelCase_      ,       'is balanced'    )
  else:
    print(lowerCamelCase_      ,       'is not balanced'    )


if __name__ == "__main__":
   main()

'''simple docstring'''

import unittest

from transformers import AlbertTokenizer, AlbertTokenizerFast
from transformers.testing_utils import get_tests_dir, require_sentencepiece, require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin


snake_case									=    get_tests_dir("""fixtures/spiece.model""")




@require_sentencepiece
@require_tokenizers
class    lowerCAmelCase       (     UpperCamelCase_    ,  unittest.TestCase  ):
 A_				:				List[str]	=			AlbertTokenizer
 A_				:				List[Any]	=			AlbertTokenizerFast
 A_				:				List[str]	=			True
 A_				:				Any	=			True
 A_				:				List[Any]	=			True


 def    _A	(    self  : Optional[int]    ):
  '''simple docstring'''

  super().setUp()

  # We have a SentencePiece fixture for testing
  lowerCAmelCase__     :   int     		=	AlbertTokenizer(a__    )
  tokenizer.save_pretrained(self.tmpdirname    )


 def    _A	(    self  : Tuple			,							a__  : Optional[Any]    ):
  '''simple docstring'''

  lowerCAmelCase__     :   Union[str, Any]     		=	"this is a test"
  lowerCAmelCase__     :   Optional[Any]     		=	"this is a test"
  return input_text, output_text


 def    _A	(    self  : Optional[int]    ):
  '''simple docstring'''

  lowerCAmelCase__     :   Union[str, Any]     		=	"<pad>"
  lowerCAmelCase__     :   Dict     		=	0

  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  : Tuple    ):
  '''simple docstring'''

  lowerCAmelCase__     :   int     		=	list(self.get_tokenizer().get_vocab().keys()    )

  self.assertEqual(vocab_keys[0]			,							"<pad>"    )
  self.assertEqual(vocab_keys[1]			,							"<unk>"    )
  self.assertEqual(vocab_keys[-1]			,							"▁eloquent"    )
  self.assertEqual(len(a__    )			,							3_0000    )


 def    _A	(    self  : Optional[int]    ):
  '''simple docstring'''

  self.assertEqual(self.get_tokenizer().vocab_size			,							3_0000    )


 def    _A	(    self  : int    ):
  '''simple docstring'''

  if not self.test_rust_tokenizer:
   return

  lowerCAmelCase__     :   List[Any]     		=	self.get_tokenizer()
  lowerCAmelCase__     :   Optional[int]     		=	self.get_rust_tokenizer()

  lowerCAmelCase__     :   List[str]     		=	"I was born in 92000, and this is falsé."

  lowerCAmelCase__     :   Dict     		=	tokenizer.tokenize(a__    )
  lowerCAmelCase__     :   str     		=	rust_tokenizer.tokenize(a__    )
  self.assertListEqual(a__			,							a__    )

  lowerCAmelCase__     :   List[Any]     		=	tokenizer.encode(a__			,							add_special_tokens=a__    )
  lowerCAmelCase__     :   Tuple     		=	rust_tokenizer.encode(a__			,							add_special_tokens=a__    )
  self.assertListEqual(a__			,							a__    )

  lowerCAmelCase__     :   Optional[int]     		=	self.get_rust_tokenizer()
  lowerCAmelCase__     :   str     		=	tokenizer.encode(a__    )
  lowerCAmelCase__     :   Optional[int]     		=	rust_tokenizer.encode(a__    )
  self.assertListEqual(a__			,							a__    )


 def    _A	(    self  : Optional[int]    ):
  '''simple docstring'''

  lowerCAmelCase__     :   List[Any]     		=	AlbertTokenizer(a__			,							keep_accents=a__    )

  lowerCAmelCase__     :   Optional[Any]     		=	tokenizer.tokenize("This is a test"    )
  self.assertListEqual(a__			,							["▁this", "▁is", "▁a", "▁test"]    )

  self.assertListEqual(tokenizer.convert_tokens_to_ids(a__    )			,							[48, 25, 21, 1289]    )

  lowerCAmelCase__     :   Optional[int]     		=	tokenizer.tokenize("I was born in 92000, and this is falsé."    )
  self.assertListEqual(
      a__			,							["▁i", "▁was", "▁born", "▁in", "▁9", "2000", ",", "▁and", "▁this", "▁is", "▁fal", "s", "é", "."]    )
  lowerCAmelCase__     :   Tuple     		=	tokenizer.convert_tokens_to_ids(a__    )
  self.assertListEqual(a__			,							[31, 23, 386, 19, 561, 3050, 15, 17, 48, 25, 8256, 18, 1, 9]    )

  lowerCAmelCase__     :   Optional[int]     		=	tokenizer.convert_ids_to_tokens(a__    )
  self.assertListEqual(
      a__			,							["▁i", "▁was", "▁born", "▁in", "▁9", "2000", ",", "▁and", "▁this", "▁is", "▁fal", "s", "<unk>", "."]			,							)


 def    _A	(    self  : List[str]    ):
  '''simple docstring'''

  lowerCAmelCase__     :   Tuple     		=	AlbertTokenizer(a__    )

  lowerCAmelCase__     :   List[str]     		=	tokenizer.encode("sequence builders"    )
  lowerCAmelCase__     :   Optional[int]     		=	tokenizer.encode("multi-sequence build"    )

  lowerCAmelCase__     :   Tuple     		=	tokenizer.build_inputs_with_special_tokens(a__    )
  lowerCAmelCase__     :   Optional[Any]     		=	tokenizer.build_inputs_with_special_tokens(a__			,							a__    )

  assert encoded_sentence == [tokenizer.cls_token_id] + text + [tokenizer.sep_token_id]
  assert encoded_pair == [tokenizer.cls_token_id] + text + [tokenizer.sep_token_id] + text_a + [
      tokenizer.sep_token_id
  ]


 @slow
 def    _A	(    self  : List[str]    ):
  '''simple docstring'''

  lowerCAmelCase__     :   Any     		=	{"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, 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, 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, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]], "input_ids": [[2, 2_1970, 13, 5, 6092, 167, 28, 7103, 2153, 673, 8, 7028, 1_2051, 18, 17, 7103, 2153, 673, 8, 3515, 1_8684, 8, 4461, 6, 1927, 297, 8, 1_2060, 2607, 18, 13, 5, 4461, 15, 1_0538, 38, 8, 135, 15, 822, 58, 15, 993, 1_0363, 15, 1460, 8005, 4461, 15, 993, 255, 2328, 9, 9, 9, 6, 26, 1112, 816, 3260, 13, 5, 103, 2377, 6, 17, 1112, 816, 2782, 13, 5, 103, 1_0641, 6, 29, 84, 2512, 2430, 782, 1_8684, 2761, 19, 808, 2430, 2556, 17, 855, 1480, 9477, 4091, 128, 1_1712, 15, 7103, 2153, 673, 17, 2_4883, 9990, 9, 3], [2, 1_1502, 25, 1006, 20, 782, 8, 1_1809, 855, 1732, 1_9393, 1_8667, 37, 367, 2_1018, 69, 1854, 34, 1_1860, 1_9124, 27, 156, 225, 17, 193, 4141, 19, 65, 9124, 9, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [2, 14, 2231, 886, 2385, 1_7659, 84, 14, 1_6792, 1952, 9, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]], "token_type_ids": [[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]]}  # noqa: E501
  # fmt: on

  self.tokenizer_integration_test_util(
      expected_encoding=a__			,							model_name="albert-base-v2"			,							revision="6b6560eaf5ff2e250b00c50f380c5389a9c2d82e"			,							)





