





import heapq
import sys

import numpy as np

__A							:			Tuple         =			tuple[int, int]







class      lowerCamelCase:
     '''simple docstring'''


     def __init__(    self							):
         _A     =							[]
         _A     =							set()




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




     def        lowerCAmelCase__		(    self							):
         return len(self.elements							) == 0




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




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




     def        lowerCAmelCase__		(    self							):
         return self.elements[0][1]




     def        lowerCAmelCase__		(    self							):
         (_A)     =							heapq.heappop(self.elements							)
         self.set.remove(_a							)
         return (priority, item)





def 				__lowerCAmelCase(       _SCREAMING_SNAKE_CASE							,     _SCREAMING_SNAKE_CASE				)							-> Optional[Any]:




    """simple docstring"""




    _A     =							np.array(__a				)
    _A     =							np.array(__a				)
    return np.linalg.norm(a - b				)





def 				__lowerCAmelCase(       _SCREAMING_SNAKE_CASE							,     _SCREAMING_SNAKE_CASE				)							-> List[Any]:




    """simple docstring"""




    return consistent_heuristic(__a							,     __a				) // t





def 				__lowerCAmelCase(       _SCREAMING_SNAKE_CASE							,     _SCREAMING_SNAKE_CASE				)							-> str:




    """simple docstring"""




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





def 				__lowerCAmelCase(       _SCREAMING_SNAKE_CASE							,     _SCREAMING_SNAKE_CASE							,     _SCREAMING_SNAKE_CASE							,     _SCREAMING_SNAKE_CASE				)							-> Optional[int]:




    """simple docstring"""




    _A     =							g_function[start] + Wa * heuristics[i](__a							,     __a				)
    return ans





def 				__lowerCAmelCase(       _SCREAMING_SNAKE_CASE							,     _SCREAMING_SNAKE_CASE							,     _SCREAMING_SNAKE_CASE				)							-> Optional[Any]:




    """simple docstring"""




    _A     =							np.chararray((n, n)				)
    for i in range(__a				):
        for j in range(__a				):
            _A     =							'''*'''

    for i in range(__a				):
        for j in range(__a				):
            if (j, (n - 1) - i) in blocks:
                _A     =							'''#'''

    _A     =							'''-'''
    _A     =							back_pointer[goal]
    while x != start:
        (_A)     =							x
        # print(x)
        _A     =							'''-'''
        _A     =							back_pointer[x]
    _A     =							'''-'''

    for i in range(__a				):
        for j in range(__a				):
            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:-'				)
    _A     =							back_pointer[goal]
    while x != start:
        print(__a							,     end=' '				)
        _A     =							back_pointer[x]
    print(__a				)
    sys.exit()





def 				__lowerCAmelCase(       _SCREAMING_SNAKE_CASE				)							-> List[str]:




    """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 				__lowerCAmelCase(       _SCREAMING_SNAKE_CASE							,     _SCREAMING_SNAKE_CASE							,     _SCREAMING_SNAKE_CASE							,     _SCREAMING_SNAKE_CASE							,     _SCREAMING_SNAKE_CASE							,     _SCREAMING_SNAKE_CASE							,     _SCREAMING_SNAKE_CASE							,     _SCREAMING_SNAKE_CASE							,     )							-> Optional[Any]:




    """simple docstring"""




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

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

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





def 				__lowerCAmelCase(       )							-> List[str]:




    """simple docstring"""




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

    for x in range(15							,     20				):
        some_list.append((x, 17)				)

    for x in range(10							,     19				):
        for y in range(1							,     15				):
            some_list.append((x, y)				)

    # L block
    for x in range(1							,     4				):
        for y in range(12							,     19				):
            some_list.append((x, y)				)
    for x in range(3							,     13				):
        for y in range(16							,     19				):
            some_list.append((x, y)				)
    return some_list


__A							:			List[str]         =			{0: consistent_heuristic, 1: heuristic_a, 2: heuristic_a}

__A							:			Optional[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),
]
__A							:			Tuple         =			make_common_ground()


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

# start and end destination
__A							:			Dict         =			(0, 0)
__A							:			Tuple         =			(n - 1, n - 1)

__A							:			Union[str, Any]         =			1





def 				__lowerCAmelCase(       _SCREAMING_SNAKE_CASE							,     _SCREAMING_SNAKE_CASE							,     _SCREAMING_SNAKE_CASE				)							-> List[Any]:




    """simple docstring"""




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

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

    _A     =							[]
    _A     =							[]
    while open_list[0].minkey() < float('inf'				):
        for i in range(1							,     __a				):
            # 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(__a							,     __a							,     __a				)
                else:
                    _A     =							open_list[i].top_show()
                    visited.add(__a				)
                    expand_state(
                        __a							,     __a							,     __a							,     __a							,     __a							,     __a							,     __a							,     __a							,     )
                    close_list_inad.append(__a				)
            else:
                if g_function[goal] <= open_list[0].minkey():
                    if g_function[goal] < float('inf'				):
                        do_something(__a							,     __a							,     __a				)
                else:
                    _A     =							open_list[0].top_show()
                    visited.add(__a				)
                    expand_state(
                        __a							,     0							,     __a							,     __a							,     __a							,     __a							,     __a							,     __a							,     )
                    close_list_anchor.append(__a				)
    print('No path found to goal'				)
    print()
    for i in range(n - 1							,     -1							,     -1				):
        for j in range(__a				):
            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


a__												=						logging.get_logger(__name__)

a__												=						{
    '''google/mobilenet_v1_1.0_224''': '''https://huggingface.co/google/mobilenet_v1_1.0_224/resolve/main/config.json''',
    '''google/mobilenet_v1_0.75_192''': '''https://huggingface.co/google/mobilenet_v1_0.75_192/resolve/main/config.json''',
    # See all MobileNetV1 models at https://huggingface.co/models?filter=mobilenet_v1
}

class 							UpperCAmelCase_						(     __lowercase  ):
							"""simple docstring"""







							UpperCAmelCase__			:		int             =       "mobilenet_v1"


							def __init__(     self			,				_a=3			,				_a=2_2_4			,				_a=1.0			,				_a=8			,				_a="relu6"			,				_a=True			,				_a=0.999			,				_a=0.02			,				_a=0.001			,				**_a			,				)       ->       List[Any]:
												super().__init__(**_a			)

												if depth_multiplier <= 0:
																	raise ValueError('''depth_multiplier must be greater than zero.'''			)

												_a      :       Tuple   =						num_channels
												_a      :       str   =						image_size
												_a      :       Tuple   =						depth_multiplier
												_a      :       Any   =						min_depth
												_a      :       int   =						hidden_act
												_a      :       Optional[Any]   =						tf_padding
												_a      :       str   =						classifier_dropout_prob
												_a      :       Optional[int]   =						initializer_range
												_a      :       Any   =						layer_norm_eps



class 							UpperCAmelCase_						(     __lowercase  ):
							"""simple docstring"""







							UpperCAmelCase__			:		str             =       version.parse("1.11"  )


							@property
							def 							__lowercase							(     self			)       ->       Mapping[str, Mapping[int, str]]:
												return OrderedDict([('''pixel_values''', {0: '''batch'''})]			)


							@property
							def 							__lowercase							(     self			)       ->       Mapping[str, Mapping[int, str]]:
												if self.task == "image-classification":
																	return OrderedDict([('''logits''', {0: '''batch'''})]			)
												else:
																	return OrderedDict([('''last_hidden_state''', {0: '''batch'''}), ('''pooler_output''', {0: '''batch'''})]			)




							@property
							def 							__lowercase							(     self			)       ->       float:
												return 1e-4



