





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


_SCREAMING_SNAKE_CASE   =      logging.get_logger(__name__)

_SCREAMING_SNAKE_CASE   =      {
    '''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 							__lowercase    ( lowerCAmelCase__  ):







	'''simple docstring'''

	a      :			Optional[Any]     =    "beit"


	def __init__(self       ,_lowerCamelCase=8192       ,_lowerCamelCase=768       ,_lowerCamelCase=12       ,_lowerCamelCase=12       ,_lowerCamelCase=3072       ,_lowerCamelCase="gelu"       ,_lowerCamelCase=0.0       ,_lowerCamelCase=0.0       ,_lowerCamelCase=0.0_2       ,_lowerCamelCase=1E-1_2       ,_lowerCamelCase=224       ,_lowerCamelCase=16       ,_lowerCamelCase=3       ,_lowerCamelCase=False       ,_lowerCamelCase=False       ,_lowerCamelCase=False       ,_lowerCamelCase=False       ,_lowerCamelCase=0.1       ,_lowerCamelCase=0.1       ,_lowerCamelCase=True       ,_lowerCamelCase=[3, 5, 7, 11]       ,_lowerCamelCase=[1, 2, 3, 6]       ,_lowerCamelCase=True       ,_lowerCamelCase=0.4       ,_lowerCamelCase=256       ,_lowerCamelCase=1       ,_lowerCamelCase=False       ,_lowerCamelCase=255       ,**_lowerCamelCase       ,)							->							Any:







				'''simple docstring'''





				super().__init__(**_lowerCamelCase	)

				__lowercase			  =							vocab_size
				__lowercase			  =							hidden_size
				__lowercase			  =							num_hidden_layers
				__lowercase			  =							num_attention_heads
				__lowercase			  =							intermediate_size
				__lowercase			  =							hidden_act
				__lowercase			  =							hidden_dropout_prob
				__lowercase			  =							attention_probs_dropout_prob
				__lowercase			  =							initializer_range
				__lowercase			  =							layer_norm_eps

				__lowercase			  =							image_size
				__lowercase			  =							patch_size
				__lowercase			  =							num_channels
				__lowercase			  =							use_mask_token
				__lowercase			  =							use_absolute_position_embeddings
				__lowercase			  =							use_relative_position_bias
				__lowercase			  =							use_shared_relative_position_bias
				__lowercase			  =							layer_scale_init_value
				__lowercase			  =							drop_path_rate
				__lowercase			  =							use_mean_pooling
				# decode head attributes (semantic segmentation)
				__lowercase			  =							out_indices
				__lowercase			  =							pool_scales
				# auxiliary head attributes (semantic segmentation)
				__lowercase			  =							use_auxiliary_head
				__lowercase			  =							auxiliary_loss_weight
				__lowercase			  =							auxiliary_channels
				__lowercase			  =							auxiliary_num_convs
				__lowercase			  =							auxiliary_concat_input
				__lowercase			  =							semantic_loss_ignore_index






class 							__lowercase    ( lowerCAmelCase__  ):







	'''simple docstring'''

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


	@property
	def   _UpperCAmelCase       (self	)							->							Mapping[str, Mapping[int, str]]:







				'''simple docstring'''





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


	@property
	def   _UpperCAmelCase       (self	)							->							float:







				'''simple docstring'''





				return 1E-4












'''simple docstring'''



def 				_lowerCAmelCase  (			lowerCamelCase_     :					int = 6_0_0_8_5_1_4_7_5_1_4_3			):

			try:
						__lowercase			  =							int(lowerCamelCase_			)
			except (TypeError, ValueError):
						raise TypeError('''Parameter n must be int or castable to int.'''			)
			if n <= 0:
						raise ValueError('''Parameter n must be greater than or equal to one.'''			)
			__lowercase			  =							1
			__lowercase			  =							2
			while i * i <= n:
						while n % i == 0:
									__lowercase			  =							i
									n //= i
						i += 1
			if n > 1:
						__lowercase			  =							n
			return int(lowerCamelCase_			)


if __name__ == "__main__":
	print(f'''{solution() = }''')





