

import heapq
import sys

import numpy as np

_UpperCAmelCase	:     str		       = tuple[int, int]







class 				lowercase       :




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




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




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




    def 					a							(      self   ,     snake_case   ,     snake_case ):
           if item not in self.set:
                  heapq.heappush(self.elements   ,     (priority, item) )
                  self.set.add(snake_case )
           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 					a							(      self   ,     snake_case ):
           if item in self.set:
                  self.set.remove(snake_case )
                  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 					a							(      self ):
           return self.elements[0][1]




    def 					a							(      self ):
           ((snake_case_)       ,					(snake_case_))           =					heapq.heappop(self.elements )
           self.set.remove(snake_case )
           return (priority, item)





def       __lowerCamelCase			(				UpperCamelCase__     ,							UpperCamelCase__   ):







       '''simple docstring'''






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





def       __lowerCamelCase			(				UpperCamelCase__     ,							UpperCamelCase__   ):







       '''simple docstring'''






       return consistent_heuristic(UpperCamelCase__     ,							UpperCamelCase__   ) // t





def       __lowerCamelCase			(				UpperCamelCase__     ,							UpperCamelCase__   ):







       '''simple docstring'''






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





def       __lowerCamelCase			(				UpperCamelCase__     ,							UpperCamelCase__     ,							UpperCamelCase__     ,							UpperCamelCase__   ):







       '''simple docstring'''






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





def       __lowerCamelCase			(				UpperCamelCase__     ,							UpperCamelCase__     ,							UpperCamelCase__   ):







       '''simple docstring'''






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

       for i in range(UpperCamelCase__   ):
              for j in range(UpperCamelCase__   ):
                     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(UpperCamelCase__   ):
              for j in range(UpperCamelCase__   ):
                     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(UpperCamelCase__     ,							end=' '   )
              snake_case_           =					back_pointer[x]
       print(UpperCamelCase__   )
       sys.exit()





def       __lowerCamelCase			(				UpperCamelCase__   ):







       '''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			(				UpperCamelCase__     ,							UpperCamelCase__     ,							UpperCamelCase__     ,							UpperCamelCase__     ,							UpperCamelCase__     ,							UpperCamelCase__     ,							UpperCamelCase__     ,							UpperCamelCase__     ,							):







       '''simple docstring'''






       for itera in range(UpperCamelCase__   ):
              open_list[itera].remove_element(UpperCamelCase__   )
       # 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(UpperCamelCase__   ) and neighbours not in visited:
                            # print("neighbour", neighbours)
                            visited.add(UpperCamelCase__   )
                            snake_case_           =					-1
                            snake_case_           =					float('inf'   )

                     if valid(UpperCamelCase__   ) 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(UpperCamelCase__     ,							key(UpperCamelCase__     ,							0     ,							UpperCamelCase__     ,							UpperCamelCase__   )   )
                                   if neighbours not in close_list_inad:
                                          for var in range(1     ,							UpperCamelCase__   ):
                                                 if key(UpperCamelCase__     ,							UpperCamelCase__     ,							UpperCamelCase__     ,							UpperCamelCase__   ) <= Wa * key(
                                                     UpperCamelCase__     ,							0     ,							UpperCamelCase__     ,							UpperCamelCase__   ):
                                                        open_list[j].put(
                                                            UpperCamelCase__     ,							key(UpperCamelCase__     ,							UpperCamelCase__     ,							UpperCamelCase__     ,							UpperCamelCase__   )   )





def       __lowerCamelCase			(				):







       '''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(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


_UpperCAmelCase	:     Tuple		       = {0: consistent_heuristic, 1: heuristic_a, 2: heuristic_a}

_UpperCAmelCase	:     List[str]		       = [
    (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),
]
_UpperCAmelCase	:     Tuple		       = make_common_ground()


_UpperCAmelCase	:     Dict		       = blocks_blk
# hyper parameters
_UpperCAmelCase	:     int		       = 1
_UpperCAmelCase	:     int		       = 1
_UpperCAmelCase	:     Tuple		       = 20
_UpperCAmelCase	:     Tuple		       = 3  # one consistent and two other inconsistent

# start and end destination
_UpperCAmelCase	:     Tuple		       = (0, 0)
_UpperCAmelCase	:     List[Any]		       = (n - 1, n - 1)

_UpperCAmelCase	:     Optional[int]		       = 1





def       __lowerCamelCase			(				UpperCamelCase__     ,							UpperCamelCase__     ,							UpperCamelCase__   ):







       '''simple docstring'''






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

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

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







import copy
import os
from typing import Union

from ...configuration_utils import PretrainedConfig
from ...models.auto.modeling_auto import MODEL_FOR_CAUSAL_LM_MAPPING_NAMES
from ...utils import logging
from ..auto import CONFIG_MAPPING


_UpperCAmelCase	:     Dict		       = logging.get_logger(__name__)

_UpperCAmelCase	:     Dict		       = {
    """salesforce/blip2-opt-2.7b""": """https://huggingface.co/salesforce/blip2-opt-2.7b/resolve/main/config.json""",
}







class 				lowercase       ( lowercase_    ):
				__SCREAMING_SNAKE_CASE      :				Optional[int]     =    '''blip_2_vision_model'''




				def __init__(      self   ,     snake_case=1408   ,     snake_case=6144   ,     snake_case=39   ,     snake_case=16   ,     snake_case=224   ,     snake_case=14   ,     snake_case="gelu"   ,     snake_case=0.0_00_01   ,     snake_case=0.0   ,     snake_case=1e-1_0   ,     snake_case=True   ,     **snake_case   ,     ):
											super().__init__(**snake_case )

											snake_case_           =					hidden_size
											snake_case_           =					intermediate_size
											snake_case_           =					num_hidden_layers
											snake_case_           =					num_attention_heads
											snake_case_           =					patch_size
											snake_case_           =					image_size
											snake_case_           =					initializer_range
											snake_case_           =					attention_dropout
											snake_case_           =					layer_norm_eps
											snake_case_           =					hidden_act
											snake_case_           =					qkv_bias




				@classmethod
				def 					a							(      cls   ,     snake_case   ,     **snake_case ):
											cls._set_token_in_kwargs(snake_case )

											snake_case_       ,					snake_case_           =					cls.get_config_dict(snake_case   ,     **snake_case )

											# get the vision config dict if we are loading from Blip2Config
											if config_dict.get('model_type' ) == "blip-2":
																		snake_case_           =					config_dict['vision_config']

											if "model_type" in config_dict and hasattr(cls   ,     'model_type' ) and config_dict["model_type"] != cls.model_type:
																		logger.warning(
																		    F'''You are using a model of type {config_dict["model_type"]} to instantiate a model of type '''
																		    F'''{cls.model_type}. This is not supported for all configurations of models and can yield errors.''' )

											return cls.from_dict(snake_case   ,     **snake_case )







class 				lowercase       ( lowercase_    ):
				__SCREAMING_SNAKE_CASE      :				Any     =    '''blip_2_qformer'''




				def __init__(      self   ,     snake_case=3_0522   ,     snake_case=768   ,     snake_case=12   ,     snake_case=12   ,     snake_case=3072   ,     snake_case="gelu"   ,     snake_case=0.1   ,     snake_case=0.1   ,     snake_case=512   ,     snake_case=0.02   ,     snake_case=1e-1_2   ,     snake_case=0   ,     snake_case="absolute"   ,     snake_case=2   ,     snake_case=1408   ,     **snake_case   ,     ):
											super().__init__(pad_token_id=snake_case   ,     **snake_case )

											snake_case_           =					vocab_size
											snake_case_           =					hidden_size
											snake_case_           =					num_hidden_layers
											snake_case_           =					num_attention_heads
											snake_case_           =					hidden_act
											snake_case_           =					intermediate_size
											snake_case_           =					hidden_dropout_prob
											snake_case_           =					attention_probs_dropout_prob
											snake_case_           =					max_position_embeddings
											snake_case_           =					initializer_range
											snake_case_           =					layer_norm_eps
											snake_case_           =					position_embedding_type
											snake_case_           =					cross_attention_frequency
											snake_case_           =					encoder_hidden_size




				@classmethod
				def 					a							(      cls   ,     snake_case   ,     **snake_case ):
											cls._set_token_in_kwargs(snake_case )

											snake_case_       ,					snake_case_           =					cls.get_config_dict(snake_case   ,     **snake_case )

											# get the qformer config dict if we are loading from Blip2Config
											if config_dict.get('model_type' ) == "blip-2":
																		snake_case_           =					config_dict['qformer_config']

											if "model_type" in config_dict and hasattr(cls   ,     'model_type' ) and config_dict["model_type"] != cls.model_type:
																		logger.warning(
																		    F'''You are using a model of type {config_dict["model_type"]} to instantiate a model of type '''
																		    F'''{cls.model_type}. This is not supported for all configurations of models and can yield errors.''' )

											return cls.from_dict(snake_case   ,     **snake_case )







class 				lowercase       ( lowercase_    ):
				__SCREAMING_SNAKE_CASE      :				Optional[int]     =    '''blip-2'''
				__SCREAMING_SNAKE_CASE      :				Dict     =    True




				def __init__(      self   ,     snake_case=None   ,     snake_case=None   ,     snake_case=None   ,     snake_case=32   ,     **snake_case ):
											super().__init__(**snake_case )

											if vision_config is None:
																		snake_case_           =					{}
																		logger.info('vision_config is None. initializing the Blip2VisionConfig with default values.' )

											if qformer_config is None:
																		snake_case_           =					{}
																		logger.info('qformer_config is None. Initializing the Blip2QFormerConfig with default values.' )

											if text_config is None:
																		snake_case_           =					{}
																		logger.info('text_config is None. Initializing the text config with default values (`OPTConfig`).' )

											snake_case_           =					BlipaVisionConfig(**snake_case )
											snake_case_           =					BlipaQFormerConfig(**snake_case )
											snake_case_           =					text_config['model_type'] if 'model_type' in text_config else 'opt'
											snake_case_           =					CONFIG_MAPPING[text_model_type](**snake_case )

											snake_case_           =					self.text_config.tie_word_embeddings
											snake_case_           =					self.text_config.is_encoder_decoder

											snake_case_           =					num_query_tokens
											snake_case_           =					self.vision_config.hidden_size
											snake_case_           =					self.text_config.model_type in MODEL_FOR_CAUSAL_LM_MAPPING_NAMES
											snake_case_           =					1.0
											snake_case_           =					0.02




				@classmethod
				def 					a							(      cls   ,     snake_case   ,     snake_case   ,     snake_case   ,     **snake_case   ,     ):
											return cls(
											    vision_config=vision_config.to_dict()   ,     qformer_config=qformer_config.to_dict()   ,     text_config=text_config.to_dict()   ,     **snake_case   ,     )




				def 					a							(      self ):
											snake_case_           =					copy.deepcopy(self.__dict__ )
											snake_case_           =					self.vision_config.to_dict()
											snake_case_           =					self.qformer_config.to_dict()
											snake_case_           =					self.text_config.to_dict()
											snake_case_           =					self.__class__.model_type
											return output




