





'''simple docstring'''






import inspect
import json
import os
import tempfile
import unittest

from transformers.models.speech_to_text_a import SpeechaTextaTokenizer
from transformers.models.speech_to_text_a.tokenization_speech_to_text_a import VOCAB_FILES_NAMES

from ...test_tokenization_common import TokenizerTesterMixin



class  lowerCamelCase__				(						lowerCAmelCase_  ,							unittest.TestCase						):


	"""simple docstring"""





	__magic_name__							   =		SpeechaTextaTokenizer
	__magic_name__							   =		False




	def 				_lowerCamelCase				(					self			)       ->				List[Any]:
					super().setUp()

					_A :				int				=  '''<s> <pad> </s> <unk> here@@ a couple of@@ words for the he@@ re@@ vocab'''.split(''' '''			)
					_A :				Dict				=  ['''he re</w> 123''', '''here a 1456''']
					_A :				Optional[int]				=  dict(zip(lowerCamelCase__   ,     range(len(lowerCamelCase__			)			)			)			)

					_A :				Tuple				=  {'''pad_token''': '''<pad>''', '''unk_token''': '''<unk>''', '''bos_token''': '''<s>''', '''eos_token''': '''</s>'''}

					_A :				Optional[Any]				=  tempfile.mkdtemp()
					_A :				List[str]				=  os.path.join(self.tmpdirname   ,     VOCAB_FILES_NAMES['''vocab_file''']			)
					_A :				Tuple				=  os.path.join(self.tmpdirname   ,     VOCAB_FILES_NAMES['''merges_file''']			)

					with open(self.vocab_file   ,     '''w'''   ,     encoding='''utf-8'''			) as fp:
									fp.write(json.dumps(lowerCamelCase__			) + '''\n'''			)

					with open(self.merges_file   ,     '''w'''			) as fp:
									fp.write('''\n'''.join(lowerCamelCase__			)			)




	def 				_lowerCamelCase				(					self			)       ->				Optional[Any]:
					_A :				Optional[int]				=  list(self.get_tokenizer().get_vocab().keys()			)

					self.assertEqual(vocab_keys[0]   ,     '''<s>'''			)
					self.assertEqual(vocab_keys[1]   ,     '''<pad>'''			)
					self.assertEqual(vocab_keys[-1]   ,     '''vocab'''			)
					self.assertEqual(len(lowerCamelCase__			)   ,     1_4			)




	def 				_lowerCamelCase				(					self			)       ->				Any:
					self.assertEqual(self.get_tokenizer().vocab_size   ,     1_4			)




	def 				_lowerCamelCase				(					self			)       ->				Tuple:
					_A :				Dict				=  SpeechaTextaTokenizer.from_pretrained(self.tmpdirname			)

					# make sure @@ is correctly concatenated
					_A :				Optional[int]				=  [4, 6, 8, 7, 1_0]  # ["here@@", "couple", "words", "of@@", "the"]
					_A :				Union[str, Any]				=  tokenizer.decode(lowerCamelCase__			)

					self.assertTrue(output_string == '''herecouple words ofthe'''			)




	def 				_lowerCamelCase				(					self			)       ->				str:
					_A :				Dict				=  SpeechaTextaTokenizer.from_pretrained(self.tmpdirname			)

					with tempfile.TemporaryDirectory() as tmp_dirname:
									tokenizer.save_pretrained(lowerCamelCase__			)
									os.remove(os.path.join(lowerCamelCase__   ,     '''merges.txt'''			)			)

									# load tokenizer without merges file should not throw an error
									_A :				Any				=  SpeechaTextaTokenizer.from_pretrained(lowerCamelCase__			)

					with tempfile.TemporaryDirectory() as tmp_dirname:
									# save tokenizer and load again
									tokenizer.save_pretrained(lowerCamelCase__			)
									_A :				Union[str, Any]				=  SpeechaTextaTokenizer.from_pretrained(lowerCamelCase__			)

					self.assertIsNotNone(lowerCamelCase__			)




	def 				_lowerCamelCase				(					self			)       ->				List[Any]:


					if not self.test_slow_tokenizer:
									return

					_A :				List[str]				=  inspect.signature(self.tokenizer_class.__init__			)
					_A :				Optional[Any]				=  self.get_tokenizer()

					for parameter_name, parameter in signature.parameters.items():
									if parameter.default != inspect.Parameter.empty and parameter_name != "merges_file":
													self.assertIn(lowerCamelCase__   ,     tokenizer.init_kwargs			)







import os



def   __lowercase  ( )					->  int:


      '''simple docstring'''


      SCREAMING_SNAKE_CASE						=		os.path.dirname(os.path.realpath(_SCREAMING_SNAKE_CASE      )      )
      SCREAMING_SNAKE_CASE						=		os.path.join(_SCREAMING_SNAKE_CASE					,		"""triangle.txt"""      )

      with open(_SCREAMING_SNAKE_CASE      ) as in_file:
            SCREAMING_SNAKE_CASE						=		[[int(_SCREAMING_SNAKE_CASE      ) for i in line.split()] for line in in_file]

      while len(_SCREAMING_SNAKE_CASE      ) != 1:
            SCREAMING_SNAKE_CASE						=		triangle.pop()
            SCREAMING_SNAKE_CASE						=		triangle[-1]
            for j in range(len(_SCREAMING_SNAKE_CASE      ) - 1      ):
                  curr_row[j] += max(last_row[j]					,		last_row[j + 1]      )
      return triangle[0][0]


if __name__ == "__main__":
      print(solution())


