
"""simple docstring"""






import heapq
import sys

import numpy as np

__SCREAMING_SNAKE_CASE							=     tuple[int, int]





class 				a__					:



     def __init__(							self :Optional[Any]   ):







      '''simple docstring'''



      UpperCamelCase_     :					Any   	=[]
      UpperCamelCase_     :					Optional[int]   	=set()



     def  lowerCamelCase_						(							self :Optional[Any]   ):







      '''simple docstring'''



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



     def  lowerCamelCase_						(							self :Any   ):







      '''simple docstring'''



      return len(self.elements   ) == 0



     def  lowerCamelCase_						(							self :Optional[int]      ,  _lowerCamelCase :Dict      ,  _lowerCamelCase :str   ):







      '''simple docstring'''



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



     def  lowerCamelCase_						(							self :Union[str, Any]      ,  _lowerCamelCase :List[str]   ):







      '''simple docstring'''



      if item in self.set:
       self.set.remove(_lowerCamelCase   )
       UpperCamelCase_     :					int   	=[]
       ((UpperCamelCase_)	,     (UpperCamelCase_))     :					str   	=heapq.heappop(self.elements   )
       while x != item:
        temp.append((pro, x)   )
        ((UpperCamelCase_)	,     (UpperCamelCase_))     :					Union[str, Any]   	=heapq.heappop(self.elements   )
       for prito, yyy in temp:
        heapq.heappush(self.elements      ,  (prito, yyy)   )



     def  lowerCamelCase_						(							self :int   ):







      '''simple docstring'''



      return self.elements[0][1]




     def  lowerCamelCase_						(							self :Any   ):







      '''simple docstring'''



      ((UpperCamelCase_)	,     (UpperCamelCase_))     :					Dict   	=heapq.heappop(self.elements   )
      self.set.remove(_lowerCamelCase   )
      return (priority, item)




def       A_  (				__lowercase						,	__lowercase	):
 # euclidean distance
 UpperCamelCase_     :					Dict   	=np.array(__lowercase	)
 UpperCamelCase_     :					Optional[Any]   	=np.array(__lowercase	)
 return np.linalg.norm(a - b	)




def       A_  (				__lowercase						,	__lowercase	):
 # integer division by time variable
 return consistent_heuristic(__lowercase						,	__lowercase	) // t




def       A_  (				__lowercase						,	__lowercase	):
 # manhattan distance
 return abs(p[0] - goal[0]	) + abs(p[1] - goal[1]	)




def       A_  (				__lowercase						,	__lowercase						,	__lowercase						,	__lowercase	):
 UpperCamelCase_     :					List[Any]   	=g_function[start] + Wa * heuristics[i](__lowercase						,	__lowercase	)
 return ans




def       A_  (				__lowercase						,	__lowercase						,	__lowercase	):
 UpperCamelCase_     :					Tuple   	=np.chararray((n, n)	)
 for i in range(__lowercase	):
  for j in range(__lowercase	):
   UpperCamelCase_     :					Optional[int]   	='*'

 for i in range(__lowercase	):
  for j in range(__lowercase	):
   if (j, (n - 1) - i) in blocks:
    UpperCamelCase_     :					List[str]   	='#'

 UpperCamelCase_     :					str   	='-'
 UpperCamelCase_     :					str   	=back_pointer[goal]
 while x != start:
  ((UpperCamelCase_)	,     (UpperCamelCase_))     :					List[Any]   	=x
  # print(x)
  UpperCamelCase_     :					List[str]   	='-'
  UpperCamelCase_     :					Optional[int]   	=back_pointer[x]
 UpperCamelCase_     :					int   	='-'

 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:-'	)
 UpperCamelCase_     :					Dict   	=back_pointer[goal]
 while x != start:
  print(__lowercase						,	end=' '	)
  UpperCamelCase_     :					List[str]   	=back_pointer[x]
 print(__lowercase	)
 sys.exit()




def       A_  (				__lowercase	):
 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						,	__lowercase						,	__lowercase						,	__lowercase						,	__lowercase						,	__lowercase						,	__lowercase						,	__lowercase						,	):
 for itera in range(__lowercase	):
  open_list[itera].remove_element(__lowercase	)
 # print("s", s)
 # print("j", j)
 ((UpperCamelCase_)	,     (UpperCamelCase_))     :					Union[str, Any]   	=s
 UpperCamelCase_     :					int   	=(x - 1, y)
 UpperCamelCase_     :					Tuple   	=(x + 1, y)
 UpperCamelCase_     :					Union[str, Any]   	=(x, y + 1)
 UpperCamelCase_     :					Dict   	=(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	)
    UpperCamelCase_     :					Any   	=-1
    UpperCamelCase_     :					List[Any]   	=float('inf'	)

   if valid(__lowercase	) and g_function[neighbours] > g_function[s] + 1:
    UpperCamelCase_     :					Optional[Any]   	=g_function[s] + 1
    UpperCamelCase_     :					Any   	=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_  (				):
 UpperCamelCase_     :					Optional[Any]   	=[]
 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


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

__SCREAMING_SNAKE_CASE							=     [
    (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							=     make_common_ground()


__SCREAMING_SNAKE_CASE							=     blocks_blk
# hyper parameters
__SCREAMING_SNAKE_CASE							=     1
__SCREAMING_SNAKE_CASE							=     1
__SCREAMING_SNAKE_CASE							=     20
__SCREAMING_SNAKE_CASE							=     3  # one consistent and two other inconsistent

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

__SCREAMING_SNAKE_CASE							=     1




def       A_  (				__lowercase						,	__lowercase						,	__lowercase	):
 UpperCamelCase_     :					Tuple   	={start: 0, goal: float('inf'	)}
 UpperCamelCase_     :					List[Any]   	={start: -1, goal: -1}
 UpperCamelCase_     :					str   	=[]
 UpperCamelCase_     :					List[Any]   	=set()

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

 UpperCamelCase_     :					list[int]   	=[]
 UpperCamelCase_     :					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:
     UpperCamelCase_	,     UpperCamelCase_     :					int   	=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:
     UpperCamelCase_     :					List[Any]   	=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)


"""simple docstring"""






import os
import unicodedata
from shutil import copyfile
from typing import Any, Dict, List, Optional, Tuple

import sentencepiece as spm

from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...utils import logging


__SCREAMING_SNAKE_CASE							=     logging.get_logger(__name__)
__SCREAMING_SNAKE_CASE							=     {'vocab_file': 'spiece.model'}

__SCREAMING_SNAKE_CASE							=     {
    'vocab_file': {
        'albert-base-v1': 'https://huggingface.co/albert-base-v1/resolve/main/spiece.model',
        'albert-large-v1': 'https://huggingface.co/albert-large-v1/resolve/main/spiece.model',
        'albert-xlarge-v1': 'https://huggingface.co/albert-xlarge-v1/resolve/main/spiece.model',
        'albert-xxlarge-v1': 'https://huggingface.co/albert-xxlarge-v1/resolve/main/spiece.model',
        'albert-base-v2': 'https://huggingface.co/albert-base-v2/resolve/main/spiece.model',
        'albert-large-v2': 'https://huggingface.co/albert-large-v2/resolve/main/spiece.model',
        'albert-xlarge-v2': 'https://huggingface.co/albert-xlarge-v2/resolve/main/spiece.model',
        'albert-xxlarge-v2': 'https://huggingface.co/albert-xxlarge-v2/resolve/main/spiece.model',
    }
}

__SCREAMING_SNAKE_CASE							=     {
    'albert-base-v1': 512,
    'albert-large-v1': 512,
    'albert-xlarge-v1': 512,
    'albert-xxlarge-v1': 512,
    'albert-base-v2': 512,
    'albert-large-v2': 512,
    'albert-xlarge-v2': 512,
    'albert-xxlarge-v2': 512,
}

__SCREAMING_SNAKE_CASE							=     '▁'





class 				a__					(						A__       ):
     UpperCAmelCase__         =      VOCAB_FILES_NAMES
     UpperCAmelCase__         =      PRETRAINED_VOCAB_FILES_MAP
     UpperCAmelCase__         =      PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES



     def __init__(							self :Optional[Any]      ,  _lowerCamelCase :int      ,  _lowerCamelCase :List[Any]=True      ,  _lowerCamelCase :int=True      ,  _lowerCamelCase :Tuple=False      ,  _lowerCamelCase :Optional[Any]="[CLS]"      ,  _lowerCamelCase :List[Any]="[SEP]"      ,  _lowerCamelCase :Dict="<unk>"      ,  _lowerCamelCase :int="[SEP]"      ,  _lowerCamelCase :int="<pad>"      ,  _lowerCamelCase :Optional[Any]="[CLS]"      ,  _lowerCamelCase :str="[MASK]"      ,  _lowerCamelCase :Optional[Dict[str, Any]] = None      ,  **_lowerCamelCase :Union[str, Any]      ,  ):







      '''simple docstring'''



      UpperCamelCase_     :					Union[str, Any]   	=(
          AddedToken(_lowerCamelCase      ,  lstrip=_lowerCamelCase      ,  rstrip=_lowerCamelCase      ,  normalized=_lowerCamelCase   )
          if isinstance(_lowerCamelCase      ,  _lowerCamelCase   )
          else mask_token
      )

      UpperCamelCase_     :					Any   	={} if sp_model_kwargs is None else sp_model_kwargs

      super().__init__(
          do_lower_case=_lowerCamelCase      ,  remove_space=_lowerCamelCase      ,  keep_accents=_lowerCamelCase      ,  bos_token=_lowerCamelCase      ,  eos_token=_lowerCamelCase      ,  unk_token=_lowerCamelCase      ,  sep_token=_lowerCamelCase      ,  pad_token=_lowerCamelCase      ,  cls_token=_lowerCamelCase      ,  mask_token=_lowerCamelCase      ,  sp_model_kwargs=self.sp_model_kwargs      ,  **_lowerCamelCase      ,  )

      UpperCamelCase_     :					str   	=do_lower_case
      UpperCamelCase_     :					Any   	=remove_space
      UpperCamelCase_     :					List[Any]   	=keep_accents
      UpperCamelCase_     :					Optional[Any]   	=vocab_file

      UpperCamelCase_     :					List[str]   	=spm.SentencePieceProcessor(**self.sp_model_kwargs   )
      self.sp_model.Load(_lowerCamelCase   )



     @property
     def  lowerCamelCase_						(							self :List[str]   ):







      '''simple docstring'''



      return len(self.sp_model   )



     def  lowerCamelCase_						(							self :Optional[Any]   ):







      '''simple docstring'''



      UpperCamelCase_     :					Optional[int]   	={self.convert_ids_to_tokens(_lowerCamelCase   ): i for i in range(self.vocab_size   )}
      vocab.update(self.added_tokens_encoder   )
      return vocab



     def __getstate__(							self :Optional[int]   ):







      '''simple docstring'''



      UpperCamelCase_     :					Optional[Any]   	=self.__dict__.copy()
      UpperCamelCase_     :					Optional[Any]   	=None
      return state



     def __setstate__(							self :List[Any]      ,  _lowerCamelCase :Any   ):







      '''simple docstring'''



      UpperCamelCase_     :					Union[str, Any]   	=d

      # for backward compatibility
      if not hasattr(self      ,  'sp_model_kwargs'   ):
       UpperCamelCase_     :					Tuple   	={}

      UpperCamelCase_     :					List[Any]   	=spm.SentencePieceProcessor(**self.sp_model_kwargs   )
      self.sp_model.Load(self.vocab_file   )



     def  lowerCamelCase_						(							self :Union[str, Any]      ,  _lowerCamelCase :Tuple   ):







      '''simple docstring'''



      if self.remove_space:
       UpperCamelCase_     :					Union[str, Any]   	=' '.join(inputs.strip().split()   )
      else:
       UpperCamelCase_     :					List[Any]   	=inputs
      UpperCamelCase_     :					Optional[int]   	=outputs.replace('``'      ,  '"'   ).replace('\'\''      ,  '"'   )

      if not self.keep_accents:
       UpperCamelCase_     :					Optional[Any]   	=unicodedata.normalize('NFKD'      ,  _lowerCamelCase   )
       UpperCamelCase_     :					Tuple   	=''.join([c for c in outputs if not unicodedata.combining(_lowerCamelCase   )]   )
      if self.do_lower_case:
       UpperCamelCase_     :					Optional[Any]   	=outputs.lower()

      return outputs



     def  lowerCamelCase_						(							self :Dict      ,  _lowerCamelCase :str   ):







      '''simple docstring'''



      UpperCamelCase_     :					str   	=self.preprocess_text(_lowerCamelCase   )
      UpperCamelCase_     :					Any   	=self.sp_model.encode(_lowerCamelCase      ,  out_type=_lowerCamelCase   )
      UpperCamelCase_     :					int   	=[]
      for piece in pieces:
       if len(_lowerCamelCase   ) > 1 and piece[-1] == str(','   ) and piece[-2].isdigit():
        UpperCamelCase_     :					Union[str, Any]   	=self.sp_model.EncodeAsPieces(piece[:-1].replace(_lowerCamelCase      ,  ''   )   )
        if piece[0] != SPIECE_UNDERLINE and cur_pieces[0][0] == SPIECE_UNDERLINE:
         if len(cur_pieces[0]   ) == 1:
          UpperCamelCase_     :					Any   	=cur_pieces[1:]
         else:
          UpperCamelCase_     :					List[str]   	=cur_pieces[0][1:]
        cur_pieces.append(piece[-1]   )
        new_pieces.extend(_lowerCamelCase   )
       else:
        new_pieces.append(_lowerCamelCase   )

      return new_pieces



     def  lowerCamelCase_						(							self :Dict      ,  _lowerCamelCase :List[str]   ):







      '''simple docstring'''



      return self.sp_model.PieceToId(_lowerCamelCase   )



     def  lowerCamelCase_						(							self :Optional[Any]      ,  _lowerCamelCase :Union[str, Any]   ):







      '''simple docstring'''



      return self.sp_model.IdToPiece(_lowerCamelCase   )



     def  lowerCamelCase_						(							self :Union[str, Any]      ,  _lowerCamelCase :Optional[int]   ):







      '''simple docstring'''



      UpperCamelCase_     :					int   	=[]
      UpperCamelCase_     :					int   	=''
      UpperCamelCase_     :					int   	=False
      for token in tokens:
       # make sure that special tokens are not decoded using sentencepiece model
       if token in self.all_special_tokens:
        if not prev_is_special:
         out_string += " "
        out_string += self.sp_model.decode(_lowerCamelCase   ) + token
        UpperCamelCase_     :					List[Any]   	=True
        UpperCamelCase_     :					str   	=[]
       else:
        current_sub_tokens.append(_lowerCamelCase   )
        UpperCamelCase_     :					List[Any]   	=False
      out_string += self.sp_model.decode(_lowerCamelCase   )
      return out_string.strip()



     def  lowerCamelCase_						(							self :Optional[int]      ,  _lowerCamelCase :List[int]      ,  _lowerCamelCase :Optional[List[int]] = None   ):







      '''simple docstring'''



      UpperCamelCase_     :					Tuple   	=[self.sep_token_id]
      UpperCamelCase_     :					Tuple   	=[self.cls_token_id]
      if token_ids_a is None:
       return cls + token_ids_a + sep
      return cls + token_ids_a + sep + token_ids_a + sep



     def  lowerCamelCase_						(							self :Union[str, Any]      ,  _lowerCamelCase :List[int]      ,  _lowerCamelCase :Optional[List[int]] = None      ,  _lowerCamelCase :bool = False   ):







      '''simple docstring'''



      if already_has_special_tokens:
       return super().get_special_tokens_mask(
           token_ids_a=_lowerCamelCase      ,  token_ids_a=_lowerCamelCase      ,  already_has_special_tokens=_lowerCamelCase   )

      if token_ids_a is not None:
       return [1] + ([0] * len(_lowerCamelCase   )) + [1] + ([0] * len(_lowerCamelCase   )) + [1]
      return [1] + ([0] * len(_lowerCamelCase   )) + [1]



     def  lowerCamelCase_						(							self :List[Any]      ,  _lowerCamelCase :List[int]      ,  _lowerCamelCase :Optional[List[int]] = None   ):







      '''simple docstring'''



      UpperCamelCase_     :					Tuple   	=[self.sep_token_id]
      UpperCamelCase_     :					List[str]   	=[self.cls_token_id]

      if token_ids_a is None:
       return len(cls + token_ids_a + sep   ) * [0]
      return len(cls + token_ids_a + sep   ) * [0] + len(token_ids_a + sep   ) * [1]




     def  lowerCamelCase_						(							self :Tuple      ,  _lowerCamelCase :str      ,  _lowerCamelCase :Optional[str] = None   ):







      '''simple docstring'''



      if not os.path.isdir(_lowerCamelCase   ):
       logger.error(f'''Vocabulary path ({save_directory}) should be a directory'''   )
       return
      UpperCamelCase_     :					int   	=os.path.join(
          _lowerCamelCase      ,  (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']   )

      if os.path.abspath(self.vocab_file   ) != os.path.abspath(_lowerCamelCase   ) and os.path.isfile(self.vocab_file   ):
       copyfile(self.vocab_file      ,  _lowerCamelCase   )
      elif not os.path.isfile(self.vocab_file   ):
       with open(_lowerCamelCase      ,  'wb'   ) as fi:
        UpperCamelCase_     :					Dict   	=self.sp_model.serialized_model_proto()
        fi.write(_lowerCamelCase   )

      return (out_vocab_file,)
