
from collections import OrderedDict
from typing import Mapping

from packaging import version

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


lowerCamelCase__          =		logging.get_logger(__name__)

lowerCamelCase__          =		{
    """microsoft/beit-base-patch16-224-pt22k""": (
        """https://huggingface.co/microsoft/beit-base-patch16-224-pt22k/resolve/main/config.json"""
    ),
    # See all BEiT models at https://huggingface.co/models?filter=beit
}







class      A__							(     __magic_name__	):
				lowercase			    =  'beit'






				def __init__(						self					:      Optional[Any]    ,     a					:      Optional[Any]=8_192    ,     a					:      Optional[Any]=768    ,     a					:      Dict=12    ,     a					:      List[str]=12    ,     a					:      Optional[int]=3_072    ,     a					:      int="gelu"    ,     a					:      List[Any]=0.0    ,     a					:      Any=0.0    ,     a					:      Optional[Any]=0.0_2    ,     a					:      Optional[int]=1E-12    ,     a					:      List[Any]=224    ,     a					:      Union[str, Any]=16    ,     a					:      Optional[Any]=3    ,     a					:      List[str]=False    ,     a					:      Optional[Any]=False    ,     a					:      Any=False    ,     a					:      Tuple=False    ,     a					:      Optional[Any]=0.1    ,     a					:      Optional[Any]=0.1    ,     a					:      Optional[Any]=True    ,     a					:      Dict=[3, 5, 7, 11]    ,     a					:      str=[1, 2, 3, 6]    ,     a					:      Optional[int]=True    ,     a					:      List[str]=0.4    ,     a					:      int=256    ,     a					:      Any=1    ,     a					:      Optional[int]=False    ,     a					:      Optional[Any]=255    ,     **a					:      List[str]    ,     ):






							'''simple docstring'''







							super().__init__(**a   )

							lowerCAmelCase__      :      Union[str, Any]         =		vocab_size
							lowerCAmelCase__      :      Optional[Any]         =		hidden_size
							lowerCAmelCase__      :      List[Any]         =		num_hidden_layers
							lowerCAmelCase__      :      str         =		num_attention_heads
							lowerCAmelCase__      :      List[str]         =		intermediate_size
							lowerCAmelCase__      :      Tuple         =		hidden_act
							lowerCAmelCase__      :      int         =		hidden_dropout_prob
							lowerCAmelCase__      :      str         =		attention_probs_dropout_prob
							lowerCAmelCase__      :      Optional[Any]         =		initializer_range
							lowerCAmelCase__      :      List[Any]         =		layer_norm_eps

							lowerCAmelCase__      :      int         =		image_size
							lowerCAmelCase__      :      Dict         =		patch_size
							lowerCAmelCase__      :      Union[str, Any]         =		num_channels
							lowerCAmelCase__      :      Optional[int]         =		use_mask_token
							lowerCAmelCase__      :      Any         =		use_absolute_position_embeddings
							lowerCAmelCase__      :      List[str]         =		use_relative_position_bias
							lowerCAmelCase__      :      Any         =		use_shared_relative_position_bias
							lowerCAmelCase__      :      int         =		layer_scale_init_value
							lowerCAmelCase__      :      Optional[int]         =		drop_path_rate
							lowerCAmelCase__      :      Any         =		use_mean_pooling
							# decode head attributes (semantic segmentation)
							lowerCAmelCase__      :      Any         =		out_indices
							lowerCAmelCase__      :      List[str]         =		pool_scales
							# auxiliary head attributes (semantic segmentation)
							lowerCAmelCase__      :      Optional[int]         =		use_auxiliary_head
							lowerCAmelCase__      :      str         =		auxiliary_loss_weight
							lowerCAmelCase__      :      int         =		auxiliary_channels
							lowerCAmelCase__      :      Any         =		auxiliary_num_convs
							lowerCAmelCase__      :      Tuple         =		auxiliary_concat_input
							lowerCAmelCase__      :      List[str]         =		semantic_loss_ignore_index







class      A__							(     __magic_name__	):
				lowercase			    =  version.parse('1.11'	)






				@property
				def 							_lowerCamelCase		(						self					:      Any   ):






							'''simple docstring'''







							return OrderedDict(
							    [
							        ('pixel_values', {0: 'batch', 1: 'num_channels', 2: 'height', 3: 'width'}),
							    ]   )






				@property
				def 							_lowerCamelCase		(						self					:      Optional[Any]   ):






							'''simple docstring'''







							return 1E-4

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

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







@dataclass(frozen=__magic_name__	)
class      A__							(     __magic_name__	):
				lowercase			    =  field(default='audio-classification'						,   metadata={'include_in_asdict_even_if_is_default': True}	)
				lowercase			    =  Features({'audio': Audio()}	)
				lowercase			    =  Features({'labels': ClassLabel}	)
				lowercase			    =  "audio"
				lowercase			    =  "labels"






				def 							_lowerCamelCase		(						self					:      Dict    ,     a					:      Tuple   ):






							'''simple docstring'''







							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.'''   )
							lowerCAmelCase__      :      Tuple         =		copy.deepcopy(self   )
							lowerCAmelCase__      :      List[Any]         =		self.label_schema.copy()
							lowerCAmelCase__      :      List[Any]         =		features[self.label_column]
							lowerCAmelCase__      :      Optional[int]         =		label_schema
							return task_template






				@property
				def 							_lowerCamelCase		(						self					:      List[str]   ):






							'''simple docstring'''







							return {
							    self.audio_column: "audio",
							    self.label_column: "labels",
							}