
from ...configuration_utils import PretrainedConfig
from ...utils import logging


_UpperCAmelCase      :				Any          = logging.get_logger(__name__)

_UpperCAmelCase      :				Optional[int]          = {
    "microsoft/swinv2-tiny-patch4-window8-256": (
        "https://huggingface.co/microsoft/swinv2-tiny-patch4-window8-256/resolve/main/config.json"
    ),
}


class        lowercase      (	_SCREAMING_SNAKE_CASE     ):
		__lowercase : Dict			  =       "swinv2"

		__lowercase : int			  =       {
		    "num_attention_heads": "num_heads",
		    "num_hidden_layers": "num_layers",
		}



		def __init__(				self       ,   A_=224       ,   A_=4       ,   A_=3       ,   A_=96       ,   A_=[2, 2, 6, 2]       ,   A_=[3, 6, 12, 24]       ,   A_=7       ,   A_=4.0       ,   A_=True       ,   A_=0.0       ,   A_=0.0       ,   A_=0.1       ,   A_="gelu"       ,   A_=False       ,   A_=0.02       ,   A_=1e-5       ,   A_=32       ,   **A_       ,   )						->      Union[str, Any]:
				"""simple docstring"""
				super().__init__(**A_ )

				UpperCamelCase						=  image_size
				UpperCamelCase						=  patch_size
				UpperCamelCase						=  num_channels
				UpperCamelCase						=  embed_dim
				UpperCamelCase						=  depths
				UpperCamelCase						=  len(A_ )
				UpperCamelCase						=  num_heads
				UpperCamelCase						=  window_size
				UpperCamelCase						=  mlp_ratio
				UpperCamelCase						=  qkv_bias
				UpperCamelCase						=  hidden_dropout_prob
				UpperCamelCase						=  attention_probs_dropout_prob
				UpperCamelCase						=  drop_path_rate
				UpperCamelCase						=  hidden_act
				UpperCamelCase						=  use_absolute_embeddings
				UpperCamelCase						=  layer_norm_eps
				UpperCamelCase						=  initializer_range
				UpperCamelCase						=  encoder_stride
				# we set the hidden_size attribute in order to make Swinv2 work with VisionEncoderDecoderModel
				# this indicates the channel dimension after the last stage of the model
				UpperCamelCase						=  int(embed_dim * 2 ** (len(A_ ) - 1) )
				UpperCamelCase						=  (0, 0, 0, 0)


from collections.abc import Callable


def    A (      lowercase					, lowercase					, lowercase				)     ->						float:
		'''simple docstring'''

		UpperCamelCase						=  a
		UpperCamelCase						=  b
		if function(lowercase				) == 0:  # one of the a or b is a root for the function
				return a
		elif function(lowercase				) == 0:
				return b
		elif (
		    function(lowercase				) * function(lowercase				) > 0
		):  # if none of these are root and they are both positive or negative,
				# then this algorithm can't find the root
				raise ValueError('could not find root in given interval.'				)
		else:
				UpperCamelCase						=  start + (end - start) / 2.0
				while abs(start - mid				) > 10**-7:  # until precisely equals to 10^-7
						if function(lowercase				) == 0:
								return mid
						elif function(lowercase				) * function(lowercase				) < 0:
								UpperCamelCase						=  mid
						else:
								UpperCamelCase						=  mid
						UpperCamelCase						=  start + (end - start) / 2.0
				return mid


def    A (      lowercase				)     ->						float:
		'''simple docstring'''

		return x**3 - 2 * x - 5


if __name__ == "__main__":
					print(bisection(f, 1, 1_000))

					import doctest

					doctest.testmod()
