





import unittest

from transformers import load_tool
from transformers.utils import is_torch_available


if is_torch_available():
     import torch

from transformers.testing_utils import require_torch

from .test_tools_common import ToolTesterMixin



@require_torch
class   _SCREAMING_SNAKE_CASE		(      unittest.TestCase       ,				__SCREAMING_SNAKE_CASE       ):







 '''simple docstring'''

 def 				SCREAMING_SNAKE_CASE_   (self							:  int)			->Optional[Any]:



   '''simple docstring'''



   lowerCamelCase__: Any         =load_tool("text-to-speech")
   self.tool.setup()

 def 				SCREAMING_SNAKE_CASE_   (self							:  Tuple)			->int:



   '''simple docstring'''



   torch.manual_seed(0)
   lowerCamelCase__: Optional[Any]         =self.tool("hey")
   lowerCamelCase__: Any         =result.to_raw()
   self.assertTrue(
       torch.allclose(
           resulting_tensor[:3]			,					torch.tensor([-0.000_5966_6688_3211_5829, -0.000_3657_6401_9079_5064, -0.0001_3439_5027_9988_3485])			,					))







 def 				SCREAMING_SNAKE_CASE_   (self							:  int)			->Union[str, Any]:



   '''simple docstring'''



   torch.manual_seed(0)
   lowerCamelCase__: Tuple         =self.tool("hey")
   lowerCamelCase__: int         =result.to_raw()
   self.assertTrue(
       torch.allclose(
           resulting_tensor[:3]			,					torch.tensor([-0.000_5966_6688_3211_5829, -0.000_3657_6401_9079_5064, -0.0001_3439_5027_9988_3485])			,					))








"""simple docstring"""



def 						__lowercase	(  snake_case_    :    list		)  ->float:



    '''simple docstring'''







    __A       :		Tuple							=	0
    while len(snake_case_		) > 1:
        __A       :		List[Any]							=	0
        # Consider two files with minimum cost to be merged
        for _ in range(2		):
            __A       :		Dict							=	files.index(min(snake_case_		)		)
            temp += files[min_index]
            files.pop(snake_case_		)
        files.append(snake_case_		)
        optimal_merge_cost += temp
    return optimal_merge_cost


if __name__ == "__main__":
       import doctest

       doctest.testmod()




