



import heapq
import sys

import numpy as np

UpperCAmelCase_									=							tuple[int, int]





class 		UpperCAmelCase						:





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





   def 	__lowerCAmelCase							(	self       ,     _lowerCAmelCase			):
         if item in self.set:
               self.set.remove(_lowerCAmelCase			)
               _lowerCAmelCase 			=  []
               ((_lowerCAmelCase)			,   (_lowerCAmelCase)) 			=  heapq.heappop(self.elements			)
               while x != item:
                     temp.append((pro, x)			)
                     ((_lowerCAmelCase)			,   (_lowerCAmelCase)) 			=  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			):
         ((_lowerCAmelCase)			,   (_lowerCAmelCase)) 			=  heapq.heappop(self.elements			)
         self.set.remove(_lowerCAmelCase			)
         return (priority, item)






def 							UpperCAmelCase__		(				_SCREAMING_SNAKE_CASE   :	TPos     ,				_SCREAMING_SNAKE_CASE   :	TPos				)->List[str]:
      # euclidean distance
      _lowerCAmelCase 			=  np.array(_SCREAMING_SNAKE_CASE				)
      _lowerCAmelCase 			=  np.array(_SCREAMING_SNAKE_CASE				)
      return np.linalg.norm(a - b				)
def 							UpperCAmelCase__		(				_SCREAMING_SNAKE_CASE   :	TPos     ,				_SCREAMING_SNAKE_CASE   :	TPos				)->List[str]:
      # integer division by time variable
      return consistent_heuristic(_SCREAMING_SNAKE_CASE     ,				_SCREAMING_SNAKE_CASE				) // t
def 							UpperCAmelCase__		(				_SCREAMING_SNAKE_CASE   :	TPos     ,				_SCREAMING_SNAKE_CASE   :	TPos				)->List[Any]:
      # manhattan distance
      return abs(p[0] - goal[0]				) + abs(p[1] - goal[1]				)
def 							UpperCAmelCase__		(				_SCREAMING_SNAKE_CASE   :	TPos     ,				_SCREAMING_SNAKE_CASE   :	int     ,				_SCREAMING_SNAKE_CASE   :	TPos     ,				_SCREAMING_SNAKE_CASE   :	dict[TPos, float]				)->List[Any]:
      _lowerCAmelCase 			=  g_function[start] + Wa * heuristics[i](_SCREAMING_SNAKE_CASE     ,				_SCREAMING_SNAKE_CASE				)
      return ans
def 							UpperCAmelCase__		(				_SCREAMING_SNAKE_CASE   :	Union[str, Any]     ,				_SCREAMING_SNAKE_CASE   :	Tuple     ,				_SCREAMING_SNAKE_CASE   :	str				)->List[Any]:
      _lowerCAmelCase 			=  np.chararray((n, n)				)
      for i in range(_SCREAMING_SNAKE_CASE				):
            for j in range(_SCREAMING_SNAKE_CASE				):
                  _lowerCAmelCase 			=  '''*'''

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

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

      for i in range(_SCREAMING_SNAKE_CASE				):
            for j in range(_SCREAMING_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:-'''				)
      _lowerCAmelCase 			=  back_pointer[goal]
      while x != start:
            print(_SCREAMING_SNAKE_CASE     ,				end=''' '''				)
            _lowerCAmelCase 			=  back_pointer[x]
      print(_SCREAMING_SNAKE_CASE				)
      sys.exit()
def 							UpperCAmelCase__		(				_SCREAMING_SNAKE_CASE   :	TPos				)->Optional[int]:
      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__		(				_SCREAMING_SNAKE_CASE   :	Dict     ,				_SCREAMING_SNAKE_CASE   :	Tuple     ,				_SCREAMING_SNAKE_CASE   :	Optional[int]     ,				_SCREAMING_SNAKE_CASE   :	Optional[int]     ,				_SCREAMING_SNAKE_CASE   :	int     ,				_SCREAMING_SNAKE_CASE   :	Union[str, Any]     ,				_SCREAMING_SNAKE_CASE   :	int     ,				_SCREAMING_SNAKE_CASE   :	str     ,				)->str:
      for itera in range(_SCREAMING_SNAKE_CASE				):
            open_list[itera].remove_element(_SCREAMING_SNAKE_CASE				)
      # print("s", s)
      # print("j", j)
      ((_lowerCAmelCase)			,   (_lowerCAmelCase)) 			=  s
      _lowerCAmelCase 			=  (x - 1, y)
      _lowerCAmelCase 			=  (x + 1, y)
      _lowerCAmelCase 			=  (x, y + 1)
      _lowerCAmelCase 			=  (x, y - 1)

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

                  if valid(_SCREAMING_SNAKE_CASE				) and g_function[neighbours] > g_function[s] + 1:
                        _lowerCAmelCase 			=  g_function[s] + 1
                        _lowerCAmelCase 			=  s
                        if neighbours not in close_list_anchor:
                              open_list[0].put(_SCREAMING_SNAKE_CASE     ,				key(_SCREAMING_SNAKE_CASE     ,				0     ,				_SCREAMING_SNAKE_CASE     ,				_SCREAMING_SNAKE_CASE				)				)
                              if neighbours not in close_list_inad:
                                    for var in range(1     ,				_SCREAMING_SNAKE_CASE				):
                                          if key(_SCREAMING_SNAKE_CASE     ,				_SCREAMING_SNAKE_CASE     ,				_SCREAMING_SNAKE_CASE     ,				_SCREAMING_SNAKE_CASE				) <= Wa * key(
                                              _SCREAMING_SNAKE_CASE     ,				0     ,				_SCREAMING_SNAKE_CASE     ,				_SCREAMING_SNAKE_CASE				):
                                                open_list[j].put(
                                                    _SCREAMING_SNAKE_CASE     ,				key(_SCREAMING_SNAKE_CASE     ,				_SCREAMING_SNAKE_CASE     ,				_SCREAMING_SNAKE_CASE     ,				_SCREAMING_SNAKE_CASE				)				)
def 							UpperCAmelCase__		(				)->Optional[Any]:
      _lowerCAmelCase 			=  []
      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


UpperCAmelCase_									=							{0: consistent_heuristic, 1: heuristic_a, 2: heuristic_a}

UpperCAmelCase_									=							[
    (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),
]
UpperCAmelCase_									=							make_common_ground()


UpperCAmelCase_									=							blocks_blk
# hyper parameters
UpperCAmelCase_									=							1
UpperCAmelCase_									=							1
UpperCAmelCase_									=							2_0
UpperCAmelCase_									=							3  # one consistent and two other inconsistent

# start and end destination
UpperCAmelCase_									=							(0, 0)
UpperCAmelCase_									=							(n - 1, n - 1)

UpperCAmelCase_									=							1
def 							UpperCAmelCase__		(				_SCREAMING_SNAKE_CASE   :	TPos     ,				_SCREAMING_SNAKE_CASE   :	TPos     ,				_SCREAMING_SNAKE_CASE   :	int				)->List[Any]:
      _lowerCAmelCase 			=  {start: 0, goal: float('''inf'''				)}
      _lowerCAmelCase 			=  {start: -1, goal: -1}
      _lowerCAmelCase 			=  []
      _lowerCAmelCase 			=  set()

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

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




import argparse

import torch

from ...utils import logging
from . import AlbertConfig, AlbertForPreTraining, load_tf_weights_in_albert


logging.set_verbosity_info()
def 							UpperCAmelCase__		(				_SCREAMING_SNAKE_CASE   :	Optional[Any]     ,				_SCREAMING_SNAKE_CASE   :	List[Any]     ,				_SCREAMING_SNAKE_CASE   :	List[Any]				)->Dict:
      # Initialise PyTorch model
      _lowerCAmelCase 			=  AlbertConfig.from_json_file(_SCREAMING_SNAKE_CASE				)
      print(f'''Building PyTorch model from configuration: {config}'''				)
      _lowerCAmelCase 			=  AlbertForPreTraining(_SCREAMING_SNAKE_CASE				)

      # Load weights from tf checkpoint
      load_tf_weights_in_albert(_SCREAMING_SNAKE_CASE     ,				_SCREAMING_SNAKE_CASE     ,				_SCREAMING_SNAKE_CASE				)

      # Save pytorch-model
      print(f'''Save PyTorch model to {pytorch_dump_path}'''				)
      torch.save(model.state_dict()     ,				_SCREAMING_SNAKE_CASE				)


if __name__ == "__main__":
    UpperCAmelCase_									=							argparse.ArgumentParser()
    # Required parameters
    parser.add_argument(
        "--tf_checkpoint_path", default=None, type=str, required=True, help="Path to the TensorFlow checkpoint path."
    )
    parser.add_argument(
        "--albert_config_file",
        default=None,
        type=str,
        required=True,
        help=(
            "The config json file corresponding to the pre-trained ALBERT model. \n"
            "This specifies the model architecture."
        ),
    )
    parser.add_argument(
        "--pytorch_dump_path", default=None, type=str, required=True, help="Path to the output PyTorch model."
    )
    UpperCAmelCase_									=							parser.parse_args()
    convert_tf_checkpoint_to_pytorch(args.tf_checkpoint_path, args.albert_config_file, args.pytorch_dump_path)