



'''simple docstring'''

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						      =       {
    '''facebook/deit-base-distilled-patch16-224''': (
        '''https://huggingface.co/facebook/deit-base-patch16-224/resolve/main/config.json'''
    ),
    # See all DeiT models at https://huggingface.co/models?filter=deit
}

class      __magic_name__						(   _UpperCamelCase       ):
							lowerCAmelCase	:   List[str]           = 'deit'







							def __init__(							self :	Optional[Any]     ,_UpperCAmelCase :	Tuple=768     ,_UpperCAmelCase :	Dict=12     ,_UpperCAmelCase :	Optional[Any]=12     ,_UpperCAmelCase :	int=3072     ,_UpperCAmelCase :	int="gelu"     ,_UpperCAmelCase :	Optional[Any]=0.0     ,_UpperCAmelCase :	Tuple=0.0     ,_UpperCAmelCase :	Any=0.02     ,_UpperCAmelCase :	Optional[int]=1E-12     ,_UpperCAmelCase :	Optional[int]=224     ,_UpperCAmelCase :	int=16     ,_UpperCAmelCase :	Dict=3     ,_UpperCAmelCase :	str=True     ,_UpperCAmelCase :	Tuple=16     ,**_UpperCAmelCase :	int     ,):
									super().__init__(**_UpperCAmelCase		)

									_a					:				Union[str, Any]				=							hidden_size
									_a					:				List[str]				=							num_hidden_layers
									_a					:				Dict				=							num_attention_heads
									_a					:				List[Any]				=							intermediate_size
									_a					:				Any				=							hidden_act
									_a					:				Union[str, Any]				=							hidden_dropout_prob
									_a					:				int				=							attention_probs_dropout_prob
									_a					:				Optional[int]				=							initializer_range
									_a					:				Tuple				=							layer_norm_eps
									_a					:				List[str]				=							image_size
									_a					:				List[str]				=							patch_size
									_a					:				List[Any]				=							num_channels
									_a					:				int				=							qkv_bias
									_a					:				int				=							encoder_stride

class      __magic_name__						(   _UpperCamelCase       ):
							lowerCAmelCase	:   Tuple           = version.parse('1.11'       )







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







							@property
							def 							__lowercase      (							self :	Tuple		):
									return 1E-4









'''simple docstring'''

def 					__lowerCamelCase					(				lowerCAmelCase_  )      ->				list:
		if any(not isinstance(lowerCAmelCase_						,      lowerCAmelCase_  ) or x < 0 for x in sequence  ):
				raise TypeError('Sequence must be list of non-negative integers'  )
		for _ in range(len(lowerCAmelCase_  )  ):
				for i, (rod_upper, rod_lower) in enumerate(zip(lowerCAmelCase_						,      sequence[1:]  )  ):
						if rod_upper > rod_lower:
								sequence[i] -= rod_upper - rod_lower
								sequence[i + 1] += rod_upper - rod_lower
		return sequence


if __name__ == "__main__":
							assert bead_sort([5, 4, 3, 2, 1]) == [1, 2, 3, 4, 5]
							assert bead_sort([7, 9, 4, 3, 5]) == [3, 4, 5, 7, 9]




