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						:   Dict         =			logging.get_logger(__name__)

__SCREAMING_SNAKE_CASE						:   Union[str, Any]         =			{
    'sail/poolformer_s12': 'https://huggingface.co/sail/poolformer_s12/resolve/main/config.json',
    # See all PoolFormer models at https://huggingface.co/models?filter=poolformer
}



class        lowercase_   (					__lowerCamelCase		):
							_lowerCamelCase						=		"""poolformer"""



							def __init__(						self				,    lowercase_=3				,    lowercase_=16				,    lowercase_=16				,    lowercase_=3				,    lowercase_=4.0				,    lowercase_=[2, 2, 6, 2]				,    lowercase_=[64, 128, 320, 512]				,    lowercase_=[7, 3, 3, 3]				,    lowercase_=[4, 2, 2, 2]				,    lowercase_=[2, 1, 1, 1]				,    lowercase_=4				,    lowercase_=0.0				,    lowercase_="gelu"				,    lowercase_=True				,    lowercase_=1e-5				,    lowercase_=0.02				,    **lowercase_				,    ):
													_snake_case						:					Any    =   num_channels
													_snake_case						:					Union[str, Any]    =   patch_size
													_snake_case						:					Union[str, Any]    =   stride
													_snake_case						:					Dict    =   padding
													_snake_case						:					int    =   pool_size
													_snake_case						:					Tuple    =   hidden_sizes
													_snake_case						:					Tuple    =   mlp_ratio
													_snake_case						:					Union[str, Any]    =   depths
													_snake_case						:					List[str]    =   patch_sizes
													_snake_case						:					Any    =   strides
													_snake_case						:					Optional[Any]    =   num_encoder_blocks
													_snake_case						:					Tuple    =   drop_path_rate
													_snake_case						:					str    =   hidden_act
													_snake_case						:					List[Any]    =   use_layer_scale
													_snake_case						:					Tuple    =   layer_scale_init_value
													_snake_case						:					List[Any]    =   initializer_range
													super().__init__(**__lowercase    )




class        lowercase_   (					__lowerCamelCase		):
							_lowerCamelCase						=		version.parse('1.11'		)



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



							@property
							def 	UpperCamelCase	(						self    ):
													return 2e-3
from __future__ import annotations

from collections import deque
from collections.abc import Iterator
from dataclasses import dataclass



@dataclass
class        lowercase_   :
							_lowerCamelCase						=		42
							_lowerCamelCase						=		42




class        lowercase_   :



							def __init__(						self				,    lowercase_    ):
													_snake_case						:					list[list[Edge]]    =   [[] for _ in range(lowercase_    )]
													_snake_case						:					Union[str, Any]    =   size



							def __getitem__(						self				,    lowercase_    ):
													return iter(self._graph[vertex]    )



							@property
							def 	UpperCamelCase	(						self    ):
													return self._size



							def 	UpperCamelCase	(						self				,    lowercase_				,    lowercase_				,    lowercase_    ):
													if weight not in (0, 1):
																			raise ValueError("Edge weight must be either 0 or 1."    )

													if to_vertex < 0 or to_vertex >= self.size:
																			raise ValueError("Vertex indexes must be in [0; size)."    )

													self._graph[from_vertex].append(Edge(lowercase_				,    lowercase_    )    )



							def 	UpperCamelCase	(						self				,    lowercase_				,    lowercase_    ):
													_snake_case						:					Optional[int]    =   deque([start_vertex]    )
													_snake_case						:					list[int | None]    =   [None] * self.size
													_snake_case						:					Tuple    =   0

													while queue:
																			_snake_case						:					List[Any]    =   queue.popleft()
																			_snake_case						:					Tuple    =   distances[current_vertex]
																			if current_distance is None:
																									continue

																			for edge in self[current_vertex]:
																									_snake_case						:					Dict    =   current_distance + edge.weight
																									_snake_case						:					str    =   distances[edge.destination_vertex]
																									if (
																									    isinstance(lowercase_				,    lowercase_    )
																									    and new_distance >= dest_vertex_distance
																									):
																															continue
																									_snake_case						:					List[Any]    =   new_distance
																									if edge.weight == 0:
																															queue.appendleft(edge.destination_vertex    )
																									else:
																															queue.append(edge.destination_vertex    )

													if distances[finish_vertex] is None:
																			raise ValueError("No path from start_vertex to finish_vertex."    )

													return distances[finish_vertex]


if __name__ == "__main__":
				import doctest

				doctest.testmod()