





"""simple docstring"""






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

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




@dataclass(frozen=_UpperCamelCase							)
class 			__lowercase     (     _UpperCamelCase							):







					'''simple docstring'''




					__lowerCAmelCase					=					field(default='''audio-classification'''				, metadata={'''include_in_asdict_even_if_is_default''': True}							)
					__lowerCAmelCase					=					Features({'''audio''': Audio()}							)
					__lowerCAmelCase					=					Features({'''labels''': ClassLabel}							)
					__lowerCAmelCase					=					"audio"
					__lowerCAmelCase					=					"labels"







					def 	_lowerCamelCase						(  self		,     _UpperCAmelCase       ):
									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]		,     _UpperCAmelCase       ):
													raise ValueError(f"""Column {self.label_column} is not a ClassLabel."""       )
									__a	:  List[str]         =					copy.deepcopy(self       )
									__a	:  Union[str, Any]         =					self.label_schema.copy()
									__a	:  Tuple         =					features[self.label_column]
									__a	:  List[str]         =					label_schema
									return task_template







					@property
					def 	_lowerCamelCase						(  self       ):
									return {
									    self.audio_column: "audio",
									    self.label_column: "labels",
									}






"""simple docstring"""






from typing import TYPE_CHECKING

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


A	     =					{
    '''configuration_mvp''': ['''MVP_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''MvpConfig''', '''MvpOnnxConfig'''],
    '''tokenization_mvp''': ['''MvpTokenizer'''],
}

try:
		if not is_tokenizers_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		A	     =					['''MvpTokenizerFast''']

try:
		if not is_torch_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		A	     =					[
		    '''MVP_PRETRAINED_MODEL_ARCHIVE_LIST''',
		    '''MvpForCausalLM''',
		    '''MvpForConditionalGeneration''',
		    '''MvpForQuestionAnswering''',
		    '''MvpForSequenceClassification''',
		    '''MvpModel''',
		    '''MvpPreTrainedModel''',
		]

if TYPE_CHECKING:
		from .configuration_mvp import MVP_PRETRAINED_CONFIG_ARCHIVE_MAP, MvpConfig, MvpOnnxConfig
		from .tokenization_mvp import MvpTokenizer

		try:
				if not is_tokenizers_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .tokenization_mvp_fast import MvpTokenizerFast

		try:
				if not is_torch_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_mvp import (
				    MVP_PRETRAINED_MODEL_ARCHIVE_LIST,
				    MvpForCausalLM,
				    MvpForConditionalGeneration,
				    MvpForQuestionAnswering,
				    MvpForSequenceClassification,
				    MvpModel,
				    MvpPreTrainedModel,
				)

else:
		import sys

		A	     =					_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)