import heapq
import sys

import numpy as np

_lowercase							:      str      							=tuple[int, int]



class  SCREAMING_SNAKE_CASE_ :
  '''simple docstring'''


  def __init__(				self    :					List[str]     )    ->				int:
         A						:     int         =[]
         A						:     Optional[Any]         =set()







  def 		SCREAMING_SNAKE_CASE_		(				self    :					List[Any]     )    ->				str:
         if not self.empty():
                return self.elements[0][0]
         else:
                return float('inf'     )







  def 		SCREAMING_SNAKE_CASE_		(				self    :					int     )    ->				str:
         return len(self.elements     ) == 0







  def 		SCREAMING_SNAKE_CASE_		(				self    :					List[Any]      ,	SCREAMING_SNAKE_CASE__    :					Dict      ,	SCREAMING_SNAKE_CASE__    :					int     )    ->				List[str]:
         if item not in self.set:
                heapq.heappush(self.elements      ,	(priority, item)     )
                self.set.add(SCREAMING_SNAKE_CASE__     )
         else:
                # update
                # print("update", item)
                A						:     str         =[]
                (A)						:     Dict         =heapq.heappop(self.elements     )
                while x != item:
                       temp.append((pri, x)     )
                       (A)						:     int         =heapq.heappop(self.elements     )
                temp.append((priority, item)     )
                for pro, xxx in temp:
                       heapq.heappush(self.elements      ,	(pro, xxx)     )







  def 		SCREAMING_SNAKE_CASE_		(				self    :					Union[str, Any]      ,	SCREAMING_SNAKE_CASE__    :					Tuple     )    ->				str:
         if item in self.set:
                self.set.remove(SCREAMING_SNAKE_CASE__     )
                A						:     str         =[]
                (A)						:     List[str]         =heapq.heappop(self.elements     )
                while x != item:
                       temp.append((pro, x)     )
                       (A)						:     List[Any]         =heapq.heappop(self.elements     )
                for prito, yyy in temp:
                       heapq.heappush(self.elements      ,	(prito, yyy)     )







  def 		SCREAMING_SNAKE_CASE_		(				self    :					Any     )    ->				Optional[Any]:
         return self.elements[0][1]







  def 		SCREAMING_SNAKE_CASE_		(				self    :					List[str]     )    ->				List[str]:
         (A)						:     Any         =heapq.heappop(self.elements     )
         self.set.remove(SCREAMING_SNAKE_CASE__     )
         return (priority, item)







def A__  (			lowercase:     TPos,		lowercase:     TPos					)				->		Union[str, Any]:
       # euclidean distance
       A						:     Union[str, Any]         =np.array(lowercase					)
       A						:     Tuple         =np.array(lowercase					)
       return np.linalg.norm(a - b					)



def A__  (			lowercase:     TPos,		lowercase:     TPos					)				->		str:
       # integer division by time variable
       return consistent_heuristic(lowercase,		lowercase					) // t



def A__  (			lowercase:     TPos,		lowercase:     TPos					)				->		int:
       # manhattan distance
       return abs(p[0] - goal[0]					) + abs(p[1] - goal[1]					)



def A__  (			lowercase:     TPos,		lowercase:     int,		lowercase:     TPos,		lowercase:     dict[TPos, float]					)				->		List[str]:
       A						:     int         =g_function[start] + Wa * heuristics[i](lowercase,		lowercase					)
       return ans



def A__  (			lowercase:     List[Any],		lowercase:     str,		lowercase:     Optional[int]					)				->		Tuple:
       A						:     Any         =np.chararray((n, n)					)
       for i in range(lowercase					):
              for j in range(lowercase					):
                     A						:     Optional[int]         ='*'

       for i in range(lowercase					):
              for j in range(lowercase					):
                     if (j, (n - 1) - i) in blocks:
                            A						:     Any         ='#'

       A						:     Union[str, Any]         ='-'
       A						:     str         =back_pointer[goal]
       while x != start:
              (A)						:     List[str]         =x
              # print(x)
              A						:     str         ='-'
              A						:     Dict         =back_pointer[x]
       A						:     Any         ='-'

       for i in range(lowercase					):
              for j in range(lowercase					):
                     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						:     Union[str, Any]         =back_pointer[goal]
       while x != start:
              print(lowercase,		end=' '					)
              A						:     str         =back_pointer[x]
       print(lowercase					)
       sys.exit()



def A__  (			lowercase:     TPos					)				->		str:
       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 A__  (			lowercase:     Union[str, Any],		lowercase:     Union[str, Any],		lowercase:     Tuple,		lowercase:     Dict,		lowercase:     List[Any],		lowercase:     List[Any],		lowercase:     str,		lowercase:     str,		)				->		Optional[int]:
       for itera in range(lowercase					):
              open_list[itera].remove_element(lowercase					)
       # print("s", s)
       # print("j", j)
       (A)						:     Dict         =s
       A						:     Dict         =(x - 1, y)
       A						:     Union[str, Any]         =(x + 1, y)
       A						:     List[str]         =(x, y + 1)
       A						:     int         =(x, y - 1)

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

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



def A__  (			)				->		Dict:
       A						:     Dict         =[]
       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


_lowercase							:      str      							={0: consistent_heuristic, 1: heuristic_a, 2: heuristic_a}

_lowercase							:      Dict      							=[
    (0, 1),
    (1, 1),
    (2, 1),
    (3, 1),
    (4, 1),
    (5, 1),
    (6, 1),
    (7, 1),
    (8, 1),
    (9, 1),
    (1_0, 1),
    (1_1, 1),
    (1_2, 1),
    (1_3, 1),
    (1_4, 1),
    (1_5, 1),
    (1_6, 1),
    (1_7, 1),
    (1_8, 1),
    (1_9, 1),
]
_lowercase							:      int      							=make_common_ground()


_lowercase							:      List[str]      							=blocks_blk
# hyper parameters
_lowercase							:      Union[str, Any]      							=1
_lowercase							:      Any      							=1
_lowercase							:      str      							=2_0
_lowercase							:      Dict      							=3  # one consistent and two other inconsistent

# start and end destination
_lowercase							:      Dict      							=(0, 0)
_lowercase							:      str      							=(n - 1, n - 1)

_lowercase							:      Tuple      							=1



def A__  (			lowercase:     TPos,		lowercase:     TPos,		lowercase:     int					)				->		Union[str, Any]:
       A						:     int         ={start: 0, goal: float('inf'					)}
       A						:     str         ={start: -1, goal: -1}
       A						:     Union[str, Any]         =[]
       A						:     List[str]         =set()

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

       A						:     list[int]         =[]
       A						:     list[int]         =[]
       while open_list[0].minkey() < float('inf'					):
              for i in range(1,		lowercase					):
                     # 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(lowercase,		lowercase,		lowercase					)
                            else:
                                   A						:     str         =open_list[i].top_show()
                                   visited.add(lowercase					)
                                   expand_state(
                                       lowercase,		lowercase,		lowercase,		lowercase,		lowercase,		lowercase,		lowercase,		lowercase,		)
                                   close_list_inad.append(lowercase					)
                     else:
                            if g_function[goal] <= open_list[0].minkey():
                                   if g_function[goal] < float('inf'					):
                                          do_something(lowercase,		lowercase,		lowercase					)
                            else:
                                   A						:     str         =open_list[0].top_show()
                                   visited.add(lowercase					)
                                   expand_state(
                                       lowercase,		0,		lowercase,		lowercase,		lowercase,		lowercase,		lowercase,		lowercase,		)
                                   close_list_anchor.append(lowercase					)
       print('No path found to goal'					)
       print()
       for i in range(n - 1,		-1,		-1					):
              for j in range(lowercase					):
                     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 TYPE_CHECKING, Any, Mapping, Optional, Union

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


if TYPE_CHECKING:
    from ... import FeatureExtractionMixin, PreTrainedTokenizerBase, TensorType


_lowercase							:      Optional[int]      							=logging.get_logger(__name__)

_lowercase							:      List[str]      							={
    '''microsoft/deberta-v2-xlarge''': '''https://huggingface.co/microsoft/deberta-v2-xlarge/resolve/main/config.json''',
    '''microsoft/deberta-v2-xxlarge''': '''https://huggingface.co/microsoft/deberta-v2-xxlarge/resolve/main/config.json''',
    '''microsoft/deberta-v2-xlarge-mnli''': (
        '''https://huggingface.co/microsoft/deberta-v2-xlarge-mnli/resolve/main/config.json'''
    ),
    '''microsoft/deberta-v2-xxlarge-mnli''': (
        '''https://huggingface.co/microsoft/deberta-v2-xxlarge-mnli/resolve/main/config.json'''
    ),
}



class  SCREAMING_SNAKE_CASE_ (					lowerCAmelCase_			):
  '''simple docstring'''


  lowercase		:     int            =				"deberta-v2"







  def __init__(				self    :					List[str]      ,	SCREAMING_SNAKE_CASE__    :					str=12_81_00      ,	SCREAMING_SNAKE_CASE__    :					List[Any]=15_36      ,	SCREAMING_SNAKE_CASE__    :					Dict=24      ,	SCREAMING_SNAKE_CASE__    :					List[str]=24      ,	SCREAMING_SNAKE_CASE__    :					List[str]=61_44      ,	SCREAMING_SNAKE_CASE__    :					List[Any]="gelu"      ,	SCREAMING_SNAKE_CASE__    :					int=0.1      ,	SCREAMING_SNAKE_CASE__    :					Any=0.1      ,	SCREAMING_SNAKE_CASE__    :					List[str]=5_12      ,	SCREAMING_SNAKE_CASE__    :					Optional[Any]=0      ,	SCREAMING_SNAKE_CASE__    :					Tuple=0.0_2      ,	SCREAMING_SNAKE_CASE__    :					List[Any]=1e-7      ,	SCREAMING_SNAKE_CASE__    :					Optional[int]=False      ,	SCREAMING_SNAKE_CASE__    :					Tuple=-1      ,	SCREAMING_SNAKE_CASE__    :					List[Any]=0      ,	SCREAMING_SNAKE_CASE__    :					Dict=True      ,	SCREAMING_SNAKE_CASE__    :					List[str]=None      ,	SCREAMING_SNAKE_CASE__    :					List[str]=0      ,	SCREAMING_SNAKE_CASE__    :					List[str]="gelu"      ,	**SCREAMING_SNAKE_CASE__    :					Dict      ,	)    ->				Dict:
         super().__init__(**SCREAMING_SNAKE_CASE__     )

         A						:     Dict         =hidden_size
         A						:     Optional[Any]         =num_hidden_layers
         A						:     Optional[int]         =num_attention_heads
         A						:     Optional[int]         =intermediate_size
         A						:     Any         =hidden_act
         A						:     Any         =hidden_dropout_prob
         A						:     Union[str, Any]         =attention_probs_dropout_prob
         A						:     Optional[Any]         =max_position_embeddings
         A						:     Tuple         =type_vocab_size
         A						:     Tuple         =initializer_range
         A						:     int         =relative_attention
         A						:     int         =max_relative_positions
         A						:     Optional[Any]         =pad_token_id
         A						:     Union[str, Any]         =position_biased_input

         # Backwards compatibility
         if type(SCREAMING_SNAKE_CASE__     ) == str:
                A						:     Any         =[x.strip() for x in pos_att_type.lower().split('|'     )]

         A						:     Any         =pos_att_type
         A						:     Tuple         =vocab_size
         A						:     Any         =layer_norm_eps

         A						:     Optional[Any]         =kwargs.get('pooler_hidden_size'      ,	SCREAMING_SNAKE_CASE__     )
         A						:     str         =pooler_dropout
         A						:     Any         =pooler_hidden_act







class  SCREAMING_SNAKE_CASE_ (					lowerCAmelCase_			):
  '''simple docstring'''


  @property
  def 		SCREAMING_SNAKE_CASE_		(				self    :					str     )    ->				Mapping[str, Mapping[int, str]]:
         if self.task == "multiple-choice":
                A						:     List[Any]         ={0: 'batch', 1: 'choice', 2: 'sequence'}
         else:
                A						:     int         ={0: 'batch', 1: 'sequence'}
         if self._config.type_vocab_size > 0:
                return OrderedDict(
                    [('input_ids', dynamic_axis), ('attention_mask', dynamic_axis), ('token_type_ids', dynamic_axis)]     )
         else:
                return OrderedDict([('input_ids', dynamic_axis), ('attention_mask', dynamic_axis)]     )







  @property
  def 		SCREAMING_SNAKE_CASE_		(				self    :					int     )    ->				int:
         return 12







  def 		SCREAMING_SNAKE_CASE_		(				self    :					str      ,	SCREAMING_SNAKE_CASE__    :					Union["PreTrainedTokenizerBase", "FeatureExtractionMixin"]      ,	SCREAMING_SNAKE_CASE__    :					int = -1      ,	SCREAMING_SNAKE_CASE__    :					int = -1      ,	SCREAMING_SNAKE_CASE__    :					int = -1      ,	SCREAMING_SNAKE_CASE__    :					bool = False      ,	SCREAMING_SNAKE_CASE__    :					Optional["TensorType"] = None      ,	SCREAMING_SNAKE_CASE__    :					int = 3      ,	SCREAMING_SNAKE_CASE__    :					int = 40      ,	SCREAMING_SNAKE_CASE__    :					int = 40      ,	SCREAMING_SNAKE_CASE__    :					"PreTrainedTokenizerBase" = None      ,	)    ->				Mapping[str, Any]:
         A						:     str         =super().generate_dummy_inputs(preprocessor=SCREAMING_SNAKE_CASE__      ,	framework=SCREAMING_SNAKE_CASE__     )
         if self._config.type_vocab_size == 0 and "token_type_ids" in dummy_inputs:
                del dummy_inputs["token_type_ids"]
         return dummy_inputs






