



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     __lowerCAmelCase					(    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 					_lowerCamelCase (		self     :						Union[str, Any]				,	A     :						List[Any])     ->					List[str]:



						"""simple docstring"""






						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.")
						_UpperCAmelCase	 =     copy.deepcopy(self)
						_UpperCAmelCase	 =     self.input_schema.copy()
						_UpperCAmelCase	 =     features[self.audio_column]
						_UpperCAmelCase	 =     input_schema
						return task_template



			@property
			def 					_lowerCamelCase (		self     :						str)     ->					Dict[str, str]:



						"""simple docstring"""






						return {self.audio_column: "audio", self.transcription_column: "transcription"}





from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available


UpperCAmelCase__     = {"configuration_yolos": ["YOLOS_PRETRAINED_CONFIG_ARCHIVE_MAP", "YolosConfig", "YolosOnnxConfig"]}

try:
							if not is_vision_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							UpperCAmelCase__     = ["YolosFeatureExtractor"]
							UpperCAmelCase__     = ["YolosImageProcessor"]

try:
							if not is_torch_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							UpperCAmelCase__     = [
							    "YOLOS_PRETRAINED_MODEL_ARCHIVE_LIST",
							    "YolosForObjectDetection",
							    "YolosModel",
							    "YolosPreTrainedModel",
							]


if TYPE_CHECKING:
							from .configuration_yolos import YOLOS_PRETRAINED_CONFIG_ARCHIVE_MAP, YolosConfig, YolosOnnxConfig

							try:
														if not is_vision_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .feature_extraction_yolos import YolosFeatureExtractor
														from .image_processing_yolos import YolosImageProcessor

							try:
														if not is_torch_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_yolos import (
														    YOLOS_PRETRAINED_MODEL_ARCHIVE_LIST,
														    YolosForObjectDetection,
														    YolosModel,
														    YolosPreTrainedModel,
														)


else:
							import sys

							UpperCAmelCase__     = _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)
