




'''simple docstring'''





import heapq
import sys

import numpy as np

_SCREAMING_SNAKE_CASE							:   Optional[int]      		= tuple[int, int]




class  _snake_case		:




			def __init__(					self							)				->				List[Any]:

										'''simple docstring'''




										snake_case_						=      []
										snake_case_						=      set()




			def    lowerCAmelCase__				(					self							)				->				Optional[int]:

										'''simple docstring'''




										if not self.empty():
																	return self.elements[0][0]
										else:
																	return float("inf"							)




			def    lowerCAmelCase__				(					self							)				->				List[str]:

										'''simple docstring'''




										return len(self.elements							) == 0




			def    lowerCAmelCase__				(					self				,							a__				,							a__							)				->				List[str]:

										'''simple docstring'''




										if item not in self.set:
																	heapq.heappush(self.elements				,							(priority, item)							)
																	self.set.add(a__							)
										else:
																	# update
																	# print("update", item)
																	snake_case_						=      []
																	((snake_case_)					,      (snake_case_))						=      heapq.heappop(self.elements							)
																	while x != item:
																								temp.append((pri, x)							)
																								((snake_case_)					,      (snake_case_))						=      heapq.heappop(self.elements							)
																	temp.append((priority, item)							)
																	for pro, xxx in temp:
																								heapq.heappush(self.elements				,							(pro, xxx)							)




			def    lowerCAmelCase__				(					self				,							a__							)				->				int:

										'''simple docstring'''




										if item in self.set:
																	self.set.remove(a__							)
																	snake_case_						=      []
																	((snake_case_)					,      (snake_case_))						=      heapq.heappop(self.elements							)
																	while x != item:
																								temp.append((pro, x)							)
																								((snake_case_)					,      (snake_case_))						=      heapq.heappop(self.elements							)
																	for prito, yyy in temp:
																								heapq.heappush(self.elements				,							(prito, yyy)							)




			def    lowerCAmelCase__				(					self							)				->				List[str]:

										'''simple docstring'''




										return self.elements[0][1]




			def    lowerCAmelCase__				(					self							)				->				Optional[int]:

										'''simple docstring'''




										((snake_case_)					,      (snake_case_))						=      heapq.heappop(self.elements							)
										self.set.remove(a__							)
										return (priority, item)


def      UpperCamelCase_(	snake_case							:       TPos							,				snake_case							:       TPos     ):

							'''simple docstring'''






							snake_case_						=      np.array(snake_case     )
							snake_case_						=      np.array(snake_case     )
							return np.linalg.norm(a - b     )


def      UpperCamelCase_(	snake_case							:       TPos							,				snake_case							:       TPos     ):

							'''simple docstring'''






							return consistent_heuristic(snake_case							,				snake_case     ) // t


def      UpperCamelCase_(	snake_case							:       TPos							,				snake_case							:       TPos     ):

							'''simple docstring'''






							return abs(p[0] - goal[0]     ) + abs(p[1] - goal[1]     )


def      UpperCamelCase_(	snake_case							:       TPos							,				snake_case							:       int							,				snake_case							:       TPos							,				snake_case							:       dict[TPos, float]     ):

							'''simple docstring'''






							snake_case_						=      g_function[start] + Wa * heuristics[i](snake_case							,				snake_case     )
							return ans


def      UpperCamelCase_(	snake_case							:       List[Any]							,				snake_case							:       List[Any]							,				snake_case							:       int     ):

							'''simple docstring'''






							snake_case_						=      np.chararray((n, n)     )
							for i in range(snake_case     ):
														for j in range(snake_case     ):
																					snake_case_						=      "*"

							for i in range(snake_case     ):
														for j in range(snake_case     ):
																					if (j, (n - 1) - i) in blocks:
																												snake_case_						=      "#"

							snake_case_						=      "-"
							snake_case_						=      back_pointer[goal]
							while x != start:
														((snake_case_)					,      (snake_case_))						=      x
														# print(x)
														snake_case_						=      "-"
														snake_case_						=      back_pointer[x]
							snake_case_						=      "-"

							for i in range(snake_case     ):
														for j in range(snake_case     ):
																					if (i, j) == (0, n - 1):
																												print(grid[i][j]							,				end=" "     )
																												print("<-- End position"							,				end=" "     )
																					else:
																												print(grid[i][j]							,				end=" "     )
														print()
							print("^"     )
							print("Start position"     )
							print()
							print("# is an obstacle"     )
							print("- is the path taken by algorithm"     )
							print("PATH TAKEN BY THE ALGORITHM IS:-"     )
							snake_case_						=      back_pointer[goal]
							while x != start:
														print(snake_case							,				end=" "     )
														snake_case_						=      back_pointer[x]
							print(snake_case     )
							sys.exit()


def      UpperCamelCase_(	snake_case							:       TPos     ):

							'''simple docstring'''






							if p[0] < 0 or p[0] > n - 1:
														return False
							if p[1] < 0 or p[1] > n - 1:
														return False
							return True


def      UpperCamelCase_(	snake_case							:       List[Any]							,				snake_case							:       int							,				snake_case							:       Tuple							,				snake_case							:       int							,				snake_case							:       List[str]							,				snake_case							:       Tuple							,				snake_case							:       Dict							,				snake_case							:       Dict							,				):

							'''simple docstring'''






							for itera in range(snake_case     ):
														open_list[itera].remove_element(snake_case     )
							# print("s", s)
							# print("j", j)
							((snake_case_)					,      (snake_case_))						=      s
							snake_case_						=      (x - 1, y)
							snake_case_						=      (x + 1, y)
							snake_case_						=      (x, y + 1)
							snake_case_						=      (x, y - 1)

							for neighbours in [left, right, up, down]:
														if neighbours not in blocks:
																					if valid(snake_case     ) and neighbours not in visited:
																												# print("neighbour", neighbours)
																												visited.add(snake_case     )
																												snake_case_						=      -1
																												snake_case_						=      float("inf"     )

																					if valid(snake_case     ) and g_function[neighbours] > g_function[s] + 1:
																												snake_case_						=      g_function[s] + 1
																												snake_case_						=      s
																												if neighbours not in close_list_anchor:
																																			open_list[0].put(snake_case							,				key(snake_case							,				0							,				snake_case							,				snake_case     )     )
																																			if neighbours not in close_list_inad:
																																										for var in range(1							,				snake_case     ):
																																																	if key(snake_case							,				snake_case							,				snake_case							,				snake_case     ) <= Wa * key(
																																																	    snake_case							,				0							,				snake_case							,				snake_case     ):
																																																								open_list[j].put(
																																																								    snake_case							,				key(snake_case							,				snake_case							,				snake_case							,				snake_case     )     )


def      UpperCamelCase_(	):

							'''simple docstring'''






							snake_case_						=      []
							for x in range(1							,				5     ):
														for y in range(1							,				6     ):
																					some_list.append((x, y)     )

							for x in range(1_5							,				2_0     ):
														some_list.append((x, 1_7)     )

							for x in range(1_0							,				1_9     ):
														for y in range(1							,				1_5     ):
																					some_list.append((x, y)     )

    # L block
							for x in range(1							,				4     ):
														for y in range(1_2							,				1_9     ):
																					some_list.append((x, y)     )
							for x in range(3							,				1_3     ):
														for y in range(1_6							,				1_9     ):
																					some_list.append((x, y)     )
							return some_list


_SCREAMING_SNAKE_CASE							:   Optional[int]      		= {0: consistent_heuristic, 1: heuristic_a, 2: heuristic_a}

_SCREAMING_SNAKE_CASE							:   int      		= [
    (0, 1),
    (1, 1),
    (2, 1),
    (3, 1),
    (4, 1),
    (5, 1),
    (6, 1),
    (7, 1),
    (8, 1),
    (9, 1),
    (10, 1),
    (11, 1),
    (12, 1),
    (13, 1),
    (14, 1),
    (15, 1),
    (16, 1),
    (17, 1),
    (18, 1),
    (19, 1),
]
_SCREAMING_SNAKE_CASE							:   Optional[int]      		= make_common_ground()


_SCREAMING_SNAKE_CASE							:   List[str]      		= blocks_blk
# hyper parameters
_SCREAMING_SNAKE_CASE							:   Tuple      		= 1
_SCREAMING_SNAKE_CASE							:   Optional[int]      		= 1
_SCREAMING_SNAKE_CASE							:   int      		= 20
_SCREAMING_SNAKE_CASE							:   Tuple      		= 3  # one consistent and two other inconsistent

# start and end destination
_SCREAMING_SNAKE_CASE							:   List[str]      		= (0, 0)
_SCREAMING_SNAKE_CASE							:   Optional[int]      		= (n - 1, n - 1)

_SCREAMING_SNAKE_CASE							:   Tuple      		= 1


def      UpperCamelCase_(	snake_case							:       TPos							,				snake_case							:       TPos							,				snake_case							:       int     ):

							'''simple docstring'''






							snake_case_						=      {start: 0, goal: float("inf"     )}
							snake_case_						=      {start: -1, goal: -1}
							snake_case_						=      []
							snake_case_						=      set()

							for i in range(snake_case     ):
														open_list.append(PriorityQueue()     )
														open_list[i].put(snake_case							,				key(snake_case							,				snake_case							,				snake_case							,				snake_case     )     )

							snake_case_						=      []
							snake_case_						=      []
							while open_list[0].minkey() < float("inf"     ):
														for i in range(1							,				snake_case     ):
																					# print(open_list[0].minkey(), open_list[i].minkey())
																					if open_list[i].minkey() <= Wa * open_list[0].minkey():
																												global t
																												t += 1
																												if g_function[goal] <= open_list[i].minkey():
																																			if g_function[goal] < float("inf"     ):
																																										do_something(snake_case							,				snake_case							,				snake_case     )
																												else:
																																			snake_case_					,      snake_case_						=      open_list[i].top_show()
																																			visited.add(snake_case     )
																																			expand_state(
																																			    snake_case							,				snake_case							,				snake_case							,				snake_case							,				snake_case							,				snake_case							,				snake_case							,				snake_case							,				)
																																			close_list_inad.append(snake_case     )
																					else:
																												if g_function[goal] <= open_list[0].minkey():
																																			if g_function[goal] < float("inf"     ):
																																										do_something(snake_case							,				snake_case							,				snake_case     )
																												else:
																																			snake_case_						=      open_list[0].top_show()
																																			visited.add(snake_case     )
																																			expand_state(
																																			    snake_case							,				0							,				snake_case							,				snake_case							,				snake_case							,				snake_case							,				snake_case							,				snake_case							,				)
																																			close_list_anchor.append(snake_case     )
							print("No path found to goal"     )
							print()
							for i in range(n - 1							,				-1							,				-1     ):
														for j in range(snake_case     ):
																					if (j, i) in blocks:
																												print("#"							,				end=" "     )
																					elif (j, i) in back_pointer:
																												if (j, i) == (n - 1, n - 1):
																																			print("*"							,				end=" "     )
																												else:
																																			print("-"							,				end=" "     )
																					else:
																												print("*"							,				end=" "     )
																					if (j, i) == (n - 1, n - 1):
																												print("<-- End position"							,				end=" "     )
														print()
							print("^"     )
							print("Start position"     )
							print()
							print("# is an obstacle"     )
							print("- is the path taken by algorithm"     )


if __name__ == "__main__":
		multi_a_star(start, goal, n_heuristic)









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
from ...utils.backbone_utils import BackboneConfigMixin, get_aligned_output_features_output_indices


_snake_case		=  logging.get_logger(__name__)

_snake_case		=  {
    "microsoft/swin-tiny-patch4-window7-224": (
        "https://huggingface.co/microsoft/swin-tiny-patch4-window7-224/resolve/main/config.json"
    ),
    # See all Swin models at https://huggingface.co/models?filter=swin
}



class   UpperCAmelCase_    (       a   ,					a):
							lowerCamelCase__   			=		'swin'

							lowerCamelCase__   			=		{
							    '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=None,			__a=None,			**__a,			):

														'''simple docstring'''

														super().__init__(**__a)

														_lowerCAmelCase     :							Any    =    image_size
														_lowerCAmelCase     :							Union[str, Any]    =    patch_size
														_lowerCAmelCase     :							Tuple    =    num_channels
														_lowerCAmelCase     :							List[Any]    =    embed_dim
														_lowerCAmelCase     :							Tuple    =    depths
														_lowerCAmelCase     :							Optional[Any]    =    len(__a)
														_lowerCAmelCase     :							int    =    num_heads
														_lowerCAmelCase     :							int    =    window_size
														_lowerCAmelCase     :							int    =    mlp_ratio
														_lowerCAmelCase     :							List[Any]    =    qkv_bias
														_lowerCAmelCase     :							str    =    hidden_dropout_prob
														_lowerCAmelCase     :							Union[str, Any]    =    attention_probs_dropout_prob
														_lowerCAmelCase     :							Any    =    drop_path_rate
														_lowerCAmelCase     :							int    =    hidden_act
														_lowerCAmelCase     :							Tuple    =    use_absolute_embeddings
														_lowerCAmelCase     :							Optional[int]    =    layer_norm_eps
														_lowerCAmelCase     :							Tuple    =    initializer_range
														_lowerCAmelCase     :							Tuple    =    encoder_stride
														# we set the hidden_size attribute in order to make Swin work with VisionEncoderDecoderModel
														# this indicates the channel dimension after the last stage of the model
														_lowerCAmelCase     :							List[str]    =    int(embed_dim * 2 ** (len(__a) - 1))
														_lowerCAmelCase     :							List[Any]    =    ["stem"] + [f"stage{idx}" for idx in range(1,			len(__a) + 1)]
														_lowerCAmelCase   ,    _lowerCAmelCase     :							Optional[int]    =    get_aligned_output_features_output_indices(
														    out_features=__a,			out_indices=__a,			stage_names=self.stage_names)



class   UpperCAmelCase_    (       a):
							lowerCamelCase__   			=		version.parse('1.11')







							@property
							def    snake_case__      (   self):

														'''simple docstring'''

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







							@property
							def    snake_case__      (   self):

														'''simple docstring'''

														return 1E-4
