

from collections import OrderedDict
from typing import List, Mapping

from packaging import version

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


lowerCAmelCase_       	=	logging.get_logger(__name__)

lowerCAmelCase_       	=	{
    '''google/efficientnet-b7''': '''https://huggingface.co/google/efficientnet-b7/resolve/main/config.json''',
}





class 	snake_case_   (		__A					):







			'''simple docstring'''

			SCREAMING_SNAKE_CASE     :   str									=				"efficientnet"







			def __init__(     self :				Tuple							,   _UpperCamelCase :				int = 3							,   _UpperCamelCase :				int = 6_0_0							,   _UpperCamelCase :				float = 2.0							,   _UpperCamelCase :				float = 3.1							,   _UpperCamelCase :				int = 8							,   _UpperCamelCase :				List[int] = [3, 3, 5, 3, 5, 5, 3]							,   _UpperCamelCase :				List[int] = [3_2, 1_6, 2_4, 4_0, 8_0, 1_1_2, 1_9_2]							,   _UpperCamelCase :				List[int] = [1_6, 2_4, 4_0, 8_0, 1_1_2, 1_9_2, 3_2_0]							,   _UpperCamelCase :				List[int] = []							,   _UpperCamelCase :				List[int] = [1, 2, 2, 2, 1, 2, 1]							,   _UpperCamelCase :				List[int] = [1, 2, 2, 3, 3, 4, 1]							,   _UpperCamelCase :				List[int] = [1, 6, 6, 6, 6, 6, 6]							,   _UpperCamelCase :				float = 0.25							,   _UpperCamelCase :				str = "swish"							,   _UpperCamelCase :				int = 2_5_6_0							,   _UpperCamelCase :				str = "mean"							,   _UpperCamelCase :				float = 0.02							,   _UpperCamelCase :				float = 0.001							,   _UpperCamelCase :				float = 0.99							,   _UpperCamelCase :				float = 0.5							,   _UpperCamelCase :				float = 0.2							,   **_UpperCamelCase :				Optional[Any]							,   )      ->str:
									super().__init__(**_UpperCamelCase							)

									snake_case_   =	num_channels
									snake_case_   =	image_size
									snake_case_   =	width_coefficient
									snake_case_   =	depth_coefficient
									snake_case_   =	depth_divisor
									snake_case_   =	kernel_sizes
									snake_case_   =	in_channels
									snake_case_   =	out_channels
									snake_case_   =	depthwise_padding
									snake_case_   =	strides
									snake_case_   =	num_block_repeats
									snake_case_   =	expand_ratios
									snake_case_   =	squeeze_expansion_ratio
									snake_case_   =	hidden_act
									snake_case_   =	hidden_dim
									snake_case_   =	pooling_type
									snake_case_   =	initializer_range
									snake_case_   =	batch_norm_eps
									snake_case_   =	batch_norm_momentum
									snake_case_   =	dropout_rate
									snake_case_   =	drop_connect_rate
									snake_case_   =	sum(_UpperCamelCase							) * 4






class 	snake_case_   (		__A					):







			'''simple docstring'''

			SCREAMING_SNAKE_CASE     :   Union[str, Any]									=				version.parse("1.11"					)







			@property
			def 				snake_case__(     self :				List[str]							)      ->Mapping[str, Mapping[int, str]]:
									return OrderedDict(
									    [
									        ('''pixel_values''', {0: '''batch''', 1: '''num_channels''', 2: '''height''', 3: '''width'''}),
									    ]							)







			@property
			def 				snake_case__(     self :				int							)      ->float:
									return 1e-5



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        snake_case_   (lowerCamelCase_      ):
					UpperCAmelCase__					:    str          =			field(default='''audio-classification'''	,						metadata={'''include_in_asdict_even_if_is_default''': True}      )
					UpperCAmelCase__					:    ClassVar[Features]          =			Features({'''audio''': Audio()}      )
					UpperCAmelCase__					:    ClassVar[Features]          =			Features({'''labels''': ClassLabel}      )
					UpperCAmelCase__					:    str          =			"audio"
					UpperCAmelCase__					:    str          =			"labels"
					def  lowerCamelCase__(      self   :Optional[int]			,__snake_case   :int      )					->    str:
												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]			,__snake_case      ):
																			raise ValueError(F'Column {self.label_column} is not a ClassLabel.'      )
												a__             =     copy.deepcopy(self      )
												a__             =     self.label_schema.copy()
												a__             =     features[self.label_column]
												a__             =     label_schema
												return task_template



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




