code: 
  
  
  '''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 (		lowercase__	,  unittest.TestCase							):
  
  
  
  		'''simple docstring'''
  
  
  
  
  
  
  
  		A_			:    Union[str, Any]   					=       SpeechaTextaTokenizer
  		A_			:    Optional[Any]   					=       False
  
  
  
  
  
  
  
  		def      __lowerCAmelCase	(      self	:		Tuple    )						->				List[Any]:
  			super().setUp()
  
  			__magic_name__ :					str  			=  '<s> <pad> </s> <unk> here@@ a couple of@@ words for the he@@ re@@ vocab'.split(' '    )
  			__magic_name__ :					Any  			=  ['he re</w> 123', 'here a 1456']
  			__magic_name__ :					Tuple  			=  dict(zip(_A						,  range(len(_A    )    )    )    )
  
  			__magic_name__ :					str  			=  {'pad_token': '<pad>', 'unk_token': '<unk>', 'bos_token': '<s>', 'eos_token': '</s>'}
  
  			__magic_name__ :					Optional[Any]  			=  tempfile.mkdtemp()
  			__magic_name__ :					Optional[int]  			=  os.path.join(self.tmpdirname						,  VOCAB_FILES_NAMES['vocab_file']    )
  			__magic_name__ :					List[str]  			=  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(_A    ) + '\n'    )
  
  			with open(self.merges_file						,  'w'    ) as fp:
  				fp.write('\n'.join(_A    )    )
  
  
  
  
  
  
  
  		def      __lowerCAmelCase	(      self	:		Any    )						->				Optional[int]:
  			__magic_name__ :					Union[str, Any]  			=  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(_A    )						,  14    )
  
  
  
  
  
  
  
  		def      __lowerCAmelCase	(      self	:		List[Any]    )						->				List[str]:
  			self.assertEqual(self.get_tokenizer().vocab_size						,  14    )
  
  
  
  
  
  
  
  		def      __lowerCAmelCase	(      self	:		Optional[int]    )						->				Tuple:
  			__magic_name__ :					Any  			=  SpeechaTextaTokenizer.from_pretrained(self.tmpdirname    )
  
  			# make sure @@ is correctly concatenated
  			__magic_name__ :					List[Any]  			=  [4, 6, 8, 7, 10]  # ["here@@", "couple", "words", "of@@", "the"]
  			__magic_name__ :					Any  			=  tokenizer.decode(_A    )
  
  			self.assertTrue(output_string == 'herecouple words ofthe'    )
  
  
  
  
  
  
  
  		def      __lowerCAmelCase	(      self	:		List[str]    )						->				str:
  			__magic_name__ :					int  			=  SpeechaTextaTokenizer.from_pretrained(self.tmpdirname    )
  
  			with tempfile.TemporaryDirectory() as tmp_dirname:
  				tokenizer.save_pretrained(_A    )
  				os.remove(os.path.join(_A						,  'merges.txt'    )    )
  
  				# load tokenizer without merges file should not throw an error
  				__magic_name__ :					str  			=  SpeechaTextaTokenizer.from_pretrained(_A    )
  
  			with tempfile.TemporaryDirectory() as tmp_dirname:
  				# save tokenizer and load again
  				tokenizer.save_pretrained(_A    )
  				__magic_name__ :					Optional[int]  			=  SpeechaTextaTokenizer.from_pretrained(_A    )
  
  			self.assertIsNotNone(_A    )
  
  
  
  
  
  
  
  		def      __lowerCAmelCase	(      self	:		Dict    )						->				Union[str, Any]:
  			if not self.test_slow_tokenizer:
  				return
  
  			__magic_name__ :					Optional[Any]  			=  inspect.signature(self.tokenizer_class.__init__    )
  			__magic_name__ :					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(_A						,  tokenizer.init_kwargs    )
style_context: 
  
  
  '''simple docstring'''
  
  from __future__ import annotations
  
  
  
  
  
  def lowerCamelCase    (    lowerCAmelCase       :			list[int | float]	,	lowerCAmelCase       :			int	,	lowerCAmelCase       :			int	):
  
  
  
  
  
  	"""simple docstring"""
  
  
  
  
  
  
  
  	if len(lowerCAmelCase	) == 0:
  		raise ValueError('find_min() arg is an empty sequence'	)
  	if (
  	    left >= len(lowerCAmelCase	)
  	    or left < -len(lowerCAmelCase	)
  	    or right >= len(lowerCAmelCase	)
  	    or right < -len(lowerCAmelCase	)
  	):
  		raise IndexError('list index out of range'	)
  	if left == right:
  		return nums[left]
  	__magic_name__ :					Tuple  			=  (left + right) >> 1  # the middle
  	__magic_name__ :					str  			=  find_min(lowerCAmelCase	,	lowerCAmelCase	,	lowerCAmelCase	)  # find min in range[left, mid]
  	__magic_name__ :					Optional[Any]  			=  find_min(lowerCAmelCase	,	mid + 1	,	lowerCAmelCase	)  # find min in range[mid + 1, right]
  
  	return left_min if left_min <= right_min else right_min
  
  
  if __name__ == "__main__":
  							import doctest
  
  							doctest.testmod(verbose=True)