"""simple docstring"""







import json
import os
import tempfile

from transformers.testing_utils import check_json_file_has_correct_format







class  UpperCamelCase	:
   lowercase							=						None
   def     _UpperCAmelCase     (    self    )			->   Any:


        '''simple docstring'''


        lowercase_			:       Union[str, Any]									=			self.feature_extraction_class(**self.feat_extract_dict    )
        lowercase_			:       str									=			json.loads(feat_extract.to_json_string()    )
        for key, value in self.feat_extract_dict.items():
             self.assertEqual(obj[key]  ,__UpperCamelCase    )
   def     _UpperCAmelCase     (    self    )			->   Optional[Any]:


        '''simple docstring'''


        lowercase_			:       Optional[Any]									=			self.feature_extraction_class(**self.feat_extract_dict    )

        with tempfile.TemporaryDirectory() as tmpdirname:
             lowercase_			:       Union[str, Any]									=			os.path.join(__UpperCamelCase  ,'feat_extract.json'    )
             feat_extract_first.to_json_file(__UpperCamelCase    )
             lowercase_			:       List[str]									=			self.feature_extraction_class.from_json_file(__UpperCamelCase    )

        self.assertEqual(feat_extract_second.to_dict()  ,feat_extract_first.to_dict()    )
   def     _UpperCAmelCase     (    self    )			->   int:


        '''simple docstring'''


        lowercase_			:       Union[str, Any]									=			self.feature_extraction_class(**self.feat_extract_dict    )

        with tempfile.TemporaryDirectory() as tmpdirname:
             lowercase_			:       int									=			feat_extract_first.save_pretrained(__UpperCamelCase    )[0]
             check_json_file_has_correct_format(__UpperCamelCase    )
             lowercase_			:       Optional[int]									=			self.feature_extraction_class.from_pretrained(__UpperCamelCase    )

        self.assertEqual(feat_extract_second.to_dict()  ,feat_extract_first.to_dict()    )







   def     _UpperCAmelCase     (    self    )			->   List[Any]:


        '''simple docstring'''


        lowercase_			:       Dict									=			self.feature_extraction_class()
        self.assertIsNotNone(__UpperCamelCase    )


"""simple docstring"""







__SCREAMING_SNAKE_CASE								={
    "Pillow": "Pillow",
    "accelerate": "accelerate>=0.11.0",
    "compel": "compel==0.1.8",
    "black": "black~=23.1",
    "datasets": "datasets",
    "filelock": "filelock",
    "flax": "flax>=0.4.1",
    "hf-doc-builder": "hf-doc-builder>=0.3.0",
    "huggingface-hub": "huggingface-hub>=0.13.2",
    "requests-mock": "requests-mock==1.10.0",
    "importlib_metadata": "importlib_metadata",
    "invisible-watermark": "invisible-watermark",
    "isort": "isort>=5.5.4",
    "jax": "jax>=0.2.8,!=0.3.2",
    "jaxlib": "jaxlib>=0.1.65",
    "Jinja2": "Jinja2",
    "k-diffusion": "k-diffusion>=0.0.12",
    "torchsde": "torchsde",
    "note_seq": "note_seq",
    "librosa": "librosa",
    "numpy": "numpy",
    "omegaconf": "omegaconf",
    "parameterized": "parameterized",
    "protobuf": "protobuf>=3.20.3,<4",
    "pytest": "pytest",
    "pytest-timeout": "pytest-timeout",
    "pytest-xdist": "pytest-xdist",
    "ruff": "ruff>=0.0.241",
    "safetensors": "safetensors",
    "sentencepiece": "sentencepiece>=0.1.91,!=0.1.92",
    "scipy": "scipy",
    "onnx": "onnx",
    "regex": "regex!=2019.12.17",
    "requests": "requests",
    "tensorboard": "tensorboard",
    "torch": "torch>=1.4",
    "torchvision": "torchvision",
    "transformers": "transformers>=4.25.1",
    "urllib3": "urllib3<=2.0.0",
}

