




import unittest

from transformers import is_torch_available, load_tool

from .test_tools_common import ToolTesterMixin


if is_torch_available():
   import torch

class   UpperCAmelCase    (      unittest.TestCase ,       a__ ):






   def 			_a    (						self :							int  )->      Union[str, Any]:
     _lowercase:			Tuple      =     load_tool('speech-to-text'  )
     self.tool.setup()






   def 			_a    (						self :							Optional[int]  )->      Optional[int]:
     _lowercase:			List[Any]      =     self.tool(torch.ones(30_00  )  )
     self.assertEqual(lowercase__    ,       ' you'  )






   def 			_a    (						self :							Dict  )->      Union[str, Any]:
     _lowercase:			Dict      =     self.tool(audio=torch.ones(30_00  )  )
     self.assertEqual(lowercase__    ,       ' you'  )






import math






def 				UpperCAmelCase__  (							_A			):






  """simple docstring"""


  a_		    =  math.log(2      ,      10			) * number
  a_		    =  round((log_number - int(_A			))      ,      15			)

  return difference






def 				UpperCAmelCase__  (							_A = 678_910			):






  """simple docstring"""


  a_		    =  90
  a_		    =  0

  a_		    =  math.log(1.23      ,      10			)
  a_		    =  math.log(1.24      ,      10			)
  a_		    =  0

  while position < number:
    a_		    =  log_difference(_A			)

    if difference >= upper_limit:
      power_iterator += 93

    elif difference < lower_limit:
      power_iterator += 196

    else:
      a_		    =  power_iterator
      power_iterator += 196
      position += 1

  return previous_power


if __name__ == "__main__":
  import doctest

  doctest.testmod()

  print(F"""{solution() = }""")
