

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				):
   '''simple docstring'''







   def 							__UpperCamelCase	(     self							:	Optional[int]		)							->    Dict:

    """simple docstring"""

    SCREAMING_SNAKE_CASE				: List[str]			       =    load_tool("speech-to-text"		)
    self.tool.setup()
   def 							__UpperCamelCase	(     self							:	List[str]		)							->    Dict:

    """simple docstring"""

    SCREAMING_SNAKE_CASE				: Optional[int]			       =    self.tool(torch.ones(3000		)		)
    self.assertEqual(a , " you"		)






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

    """simple docstring"""

    SCREAMING_SNAKE_CASE				: Optional[Any]			       =    self.tool(audio=torch.ones(3000		)		)
    self.assertEqual(a , " you"		)


from __future__ import annotations

def 	lowerCamelCase__	(   _a							,     _a							,     _a):
	if len(_a) == 0:
		raise ValueError("find_min() arg is an empty sequence")
	if (
	    left >= len(_a)
	    or left < -len(_a)
	    or right >= len(_a)
	    or right < -len(_a)
	):
		raise IndexError("list index out of range")
	if left == right:
		return nums[left]
	SCREAMING_SNAKE_CASE				: List[str]			       =    (left + right) >> 1  # the middle
	SCREAMING_SNAKE_CASE				: Tuple			       =    find_min(_a							,     _a							,     _a)  # find min in range[left, mid]
	SCREAMING_SNAKE_CASE				: Optional[Any]			       =    find_min(_a							,     mid + 1							,     _a)  # 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)