

"""simple docstring"""



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     a  (				unittest.TestCase,		_UpperCAmelCase ):



    """simple docstring"""



    def  UpperCamelCase		(   self:       Optional[Any]				):






         """simple docstring"""


         A__								=     load_tool("""text-to-speech"""				)
         self.tool.setup()

    def  UpperCamelCase		(   self:       List[Any]				):






         """simple docstring"""


         torch.manual_seed(0				)
         A__								=     self.tool("""hey"""				)
         A__								=     result.to_raw()
         self.assertTrue(
             torch.allclose(
                 resulting_tensor[:3]			,  torch.tensor([-0.0_005_966_668_832_115_829, -0.0_003_657_640_190_795_064, -0.00_013_439_502_799_883_485]				)			,  )				)





    def  UpperCamelCase		(   self:       List[Any]				):






         """simple docstring"""


         torch.manual_seed(0				)
         A__								=     self.tool("""hey"""				)
         A__								=     result.to_raw()
         self.assertTrue(
             torch.allclose(
                 resulting_tensor[:3]			,  torch.tensor([-0.0_005_966_668_832_115_829, -0.0_003_657_640_190_795_064, -0.00_013_439_502_799_883_485]				)			,  )				)







'''simple docstring'''




from urllib.parse import quote

import pytest

from datasets.utils.hub import hf_hub_url




@pytest.mark.parametrize("""repo_id"""      ,      ["""canonical_dataset_name""", """org-name/dataset-name"""] )
@pytest.mark.parametrize("""path"""      ,      ["""filename.csv""", """filename with blanks.csv"""] )
@pytest.mark.parametrize("""revision"""      ,      [None, """v2"""] )
def 							lowerCamelCase	(      UpperCAmelCase__       :					int      ,      UpperCAmelCase__       :					Optional[int]      ,      UpperCAmelCase__       :					Optional[int] )			->      Optional[int]:
							lowercase_					:			Union[str, Any]										=       hf_hub_url(repo_id=UpperCAmelCase__      ,      path=UpperCAmelCase__      ,      revision=UpperCAmelCase__ )
							assert url == F'''https://huggingface.co/datasets/{repo_id}/resolve/{revision or 'main'}/{quote(UpperCAmelCase__ )}'''





