





'''simple docstring'''







import copy
from dataclasses import dataclass, field
from typing import ClassVar, Dict

from ..features import Audio, Features, Value
from .base import TaskTemplate
@dataclass(frozen=__a					)
class 			_lowercase						(       __a					):
     _UpperCAmelCase										=					field(default='''automatic-speech-recognition'''				,		metadata={'''include_in_asdict_even_if_is_default''': True}					)
     _UpperCAmelCase										=					Features({'''audio''': Audio()}					)
     _UpperCAmelCase										=					Features({'''transcription''': Value('''string'''					)}					)
     _UpperCAmelCase										=					"audio"
     _UpperCAmelCase										=					"transcription"







     def     UpperCamelCase			( self    ,   A__    ) ->	List[Any]:
      if self.audio_column not in features:
       raise ValueError(F"""Column {self.audio_column} is not present in features."""    )
      if not isinstance(features[self.audio_column]    ,   A__    ):
       raise ValueError(F"""Column {self.audio_column} is not an Audio type."""    )
      snake_case				=			copy.deepcopy(self    )
      snake_case				=			self.input_schema.copy()
      snake_case				=			features[self.audio_column]
      snake_case				=			input_schema
      return task_template







     @property
     def     UpperCamelCase			( self    ) ->	Dict[str, str]:
      return {self.audio_column: "audio", self.transcription_column: "transcription"}








'''simple docstring'''







_lowercase       						=			{
    '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',
}

