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

from ..features import Audio, ClassLabel, Features
from .base import TaskTemplate



@dataclass(frozen=_lowerCamelCase			)
class  SCREAMING_SNAKE_CASE_ (					_lowerCamelCase			):
  '''simple docstring'''


  lowercase		:     str            =				field(default="audio-classification"   ,						metadata={"include_in_asdict_even_if_is_default": True}			)
  lowercase		:     str            =				Features({"audio": Audio()}			)
  lowercase		:     List[str]            =				Features({"labels": ClassLabel}			)
  lowercase		:     List[str]            =				"audio"
  lowercase		:     int            =				"labels"







  def 		SCREAMING_SNAKE_CASE_		(				self    :					List[str]      ,	SCREAMING_SNAKE_CASE__    :					Any     )    ->				int:
         if self.label_column not in features:
                raise ValueError(f'Column {self.label_column} is not present in features.'     )
         if not isinstance(features[self.label_column]      ,	A__     ):
                raise ValueError(f'Column {self.label_column} is not a ClassLabel.'     )
         A						:     Union[str, Any]         =copy.deepcopy(self     )
         A						:     int         =self.label_schema.copy()
         A						:     Optional[Any]         =features[self.label_column]
         A						:     Optional[int]         =label_schema
         return task_template







  @property
  def 		SCREAMING_SNAKE_CASE_		(				self    :					Any     )    ->				Dict[str, str]:
         return {
             self.audio_column: "audio",
             self.label_column: "labels",
         }







_lowercase							:      Dict      							='''0.21.0'''

from .accelerator import Accelerator
from .big_modeling import (
    cpu_offload,
    cpu_offload_with_hook,
    disk_offload,
    dispatch_model,
    init_empty_weights,
    init_on_device,
    load_checkpoint_and_dispatch,
)
from .data_loader import skip_first_batches
from .launchers import debug_launcher, notebook_launcher
from .state import PartialState
from .utils import (
    DeepSpeedPlugin,
    DistributedDataParallelKwargs,
    DistributedType,
    FullyShardedDataParallelPlugin,
    GradScalerKwargs,
    InitProcessGroupKwargs,
    find_executable_batch_size,
    infer_auto_device_map,
    is_rich_available,
    load_checkpoint_in_model,
    synchronize_rng_states,
)


if is_rich_available():
    from .utils import rich






