
"""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


a       :						Optional[Any]       		=		logging.get_logger(__name__)

a       :						Any       		=		{
    '''google/vit-base-patch16-224''': '''https://huggingface.co/vit-base-patch16-224/resolve/main/config.json''',
    # See all ViT models at https://huggingface.co/models?filter=vit
}




class 		a_    (			__A						):
    a   :					str			     =					'vit'







    def __init__(      self      :							int  ,       __UpperCamelCase      :							Any=7_68  ,       __UpperCamelCase      :							str=12  ,       __UpperCamelCase      :							Optional[int]=12  ,       __UpperCamelCase      :							List[str]=30_72  ,       __UpperCamelCase      :							Optional[int]="gelu"  ,       __UpperCamelCase      :							List[str]=0.0  ,       __UpperCamelCase      :							Dict=0.0  ,       __UpperCamelCase      :							Optional[int]=0.0_2  ,       __UpperCamelCase      :							Optional[Any]=1e-12  ,       __UpperCamelCase      :							Any=2_24  ,       __UpperCamelCase      :							str=16  ,       __UpperCamelCase      :							Dict=3  ,       __UpperCamelCase      :							str=True  ,       __UpperCamelCase      :							List[str]=16  ,       **__UpperCamelCase      :							Union[str, Any]  ,       )		->Dict:






        '''simple docstring'''






        super().__init__(**lowerCAmelCase_  )

        _UpperCAmelCase        = hidden_size
        _UpperCAmelCase        = num_hidden_layers
        _UpperCAmelCase        = num_attention_heads
        _UpperCAmelCase        = intermediate_size
        _UpperCAmelCase        = hidden_act
        _UpperCAmelCase        = hidden_dropout_prob
        _UpperCAmelCase        = attention_probs_dropout_prob
        _UpperCAmelCase        = initializer_range
        _UpperCAmelCase        = layer_norm_eps
        _UpperCAmelCase        = image_size
        _UpperCAmelCase        = patch_size
        _UpperCAmelCase        = num_channels
        _UpperCAmelCase        = qkv_bias
        _UpperCAmelCase        = encoder_stride







class 		a_    (			__A						):
    a   :					Dict			     =					version.parse('1.11'						)







    @property
    def   _snake_case       (      self      :							Union[str, Any]  )		->Mapping[str, Mapping[int, str]]:






        '''simple docstring'''






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







    @property
    def   _snake_case       (      self      :							str  )		->float:






        '''simple docstring'''






        return 1e-4







"""simple docstring"""
def 							snake_case (  A__		):
			UpperCAmelCase_	:					int     	=   [0 for i in range(len(A__		)		)]

			# initialize interval's left pointer and right pointer
			UpperCAmelCase_	,      UpperCAmelCase_	:					Optional[int]     	=   0, 0

			for i in range(1      ,len(A__		)		):
						# case when current index is inside the interval
						if i <= right_pointer:
									UpperCAmelCase_	:					Any     	=   min(right_pointer - i + 1      ,z_result[i - left_pointer]		)
									UpperCAmelCase_	:					Union[str, Any]     	=   min_edge

						while go_next(A__      ,A__      ,A__		):
									z_result[i] += 1

						# if new index's result gives us more right interval,
						# we've to update left_pointer and right_pointer
						if i + z_result[i] - 1 > right_pointer:
									UpperCAmelCase_	,      UpperCAmelCase_	:					Union[str, Any]     	=   i, i + z_result[i] - 1

			return z_result

def 							snake_case (  A__      ,A__      ,A__		):
			return i + z_result[i] < len(A__		) and s[z_result[i]] == s[i + z_result[i]]

def 							snake_case (  A__      ,A__		):
			UpperCAmelCase_	:					Optional[int]     	=   0
			# concatenate 'pattern' and 'input_str' and call z_function
			# with concatenated string
			UpperCAmelCase_	:					Tuple     	=   z_function(pattern + input_str		)

			for val in z_result:
						# if value is greater then length of the pattern string
						# that means this index is starting position of substring
						# which is equal to pattern string
						if val >= len(A__		):
									answer += 1

			return answer


if __name__ == "__main__":
			import doctest

			doctest.testmod()



