import json
import os
from typing import Optional, Tuple

import regex as re

from ...tokenization_utils import PreTrainedTokenizer
from ...utils import logging


A  :	Dict         =							logging.get_logger(__name__)

A  :	Union[str, Any]         =							{
    """vocab_file""": """vocab.json""",
    """merges_file""": """merges.txt""",
}

A  :	Tuple         =							{
    """vocab_file""": {"""ctrl""": """https://raw.githubusercontent.com/salesforce/ctrl/master/ctrl-vocab.json"""},
    """merges_file""": {"""ctrl""": """https://raw.githubusercontent.com/salesforce/ctrl/master/ctrl-merges.txt"""},
}

A  :	Optional[int]         =							{
    """ctrl""": 2_56,
}

A  :	Tuple         =							{
    """Pregnancy""": 16_86_29,
    """Christianity""": 76_75,
    """Explain""": 10_64_23,
    """Fitness""": 6_34_40,
    """Saving""": 6_31_63,
    """Ask""": 2_71_71,
    """Ass""": 9_59_85,
    """Joke""": 16_35_09,
    """Questions""": 4_56_22,
    """Thoughts""": 4_96_05,
    """Retail""": 5_23_42,
    """Feminism""": 16_43_38,
    """Writing""": 1_19_92,
    """Atheism""": 19_22_63,
    """Netflix""": 4_86_16,
    """Computing""": 3_96_39,
    """Opinion""": 4_32_13,
    """Alone""": 4_49_67,
    """Funny""": 5_89_17,
    """Gaming""": 4_03_58,
    """Human""": 40_88,
    """India""": 13_31,
    """Joker""": 7_71_38,
    """Diet""": 3_62_06,
    """Legal""": 1_18_59,
    """Norman""": 49_39,
    """Tip""": 7_26_89,
    """Weight""": 5_23_43,
    """Movies""": 4_62_73,
    """Running""": 2_34_25,
    """Science""": 20_90,
    """Horror""": 3_77_93,
    """Confession""": 6_05_72,
    """Finance""": 1_22_50,
    """Politics""": 1_63_60,
    """Scary""": 19_19_85,
    """Support""": 1_26_54,
    """Technologies""": 3_25_16,
    """Teenage""": 6_61_60,
    """Event""": 3_27_69,
    """Learned""": 6_74_60,
    """Notion""": 18_27_70,
    """Wikipedia""": 3_75_83,
    """Books""": 66_65,
    """Extract""": 7_60_50,
    """Confessions""": 10_27_01,
    """Conspiracy""": 7_59_32,
    """Links""": 6_36_74,
    """Narcissus""": 15_04_25,
    """Relationship""": 5_47_66,
    """Relationships""": 13_47_96,
    """Reviews""": 4_16_71,
    """News""": 42_56,
    """Translation""": 2_68_20,
    """multilingual""": 12_84_06,
}


def   a__			(		__UpperCamelCase					):
      SCREAMING_SNAKE_CASE_    =	set()
      SCREAMING_SNAKE_CASE_    =	word[0]
      for char in word[1:]:
            pairs.add((prev_char, char)					)
            SCREAMING_SNAKE_CASE_    =	char

      SCREAMING_SNAKE_CASE_    =	set(lowercase_					)
      return pairs





class 	lowerCamelCase       (UpperCAmelCase__       ):
  """simple docstring"""







  lowerCamelCase__  =    VOCAB_FILES_NAMES
  lowerCamelCase__  =    PRETRAINED_VOCAB_FILES_MAP
  lowerCamelCase__  =    PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
  lowerCamelCase__  =    CONTROL_CODES







  def __init__(				self			:							Optional[int]	,  __magic_name__			:							Union[str, Any]	,  __magic_name__			:							str	,  __magic_name__			:							Union[str, Any]="<unk>"	,  **__magic_name__			:							Any )	->						Dict:
        super().__init__(unk_token=UpperCAmelCase__	,  **UpperCAmelCase__ )

        with open(UpperCAmelCase__	,  encoding="utf-8" ) as vocab_handle:
              SCREAMING_SNAKE_CASE_    =	json.load(UpperCAmelCase__ )
        SCREAMING_SNAKE_CASE_    =	{v: k for k, v in self.encoder.items()}
        with open(UpperCAmelCase__	,  encoding="utf-8" ) as merges_handle:
              SCREAMING_SNAKE_CASE_    =	merges_handle.read().split("\n" )[1:-1]
        SCREAMING_SNAKE_CASE_    =	[tuple(merge.split() ) for merge in merges]
        SCREAMING_SNAKE_CASE_    =	dict(zip(UpperCAmelCase__	,  range(len(UpperCAmelCase__ ) ) ) )
        SCREAMING_SNAKE_CASE_    =	{}







  @property
  def  __A  (				self			:							str )	->						Tuple:
        return len(self.encoder )







  def  __A  (				self			:							str )	->						Tuple:
        return dict(self.encoder	,  **self.added_tokens_encoder )







  def  __A  (				self			:							Dict	,  __magic_name__			:							str )	->						Any:

        if token in self.cache:
              return self.cache[token]
        SCREAMING_SNAKE_CASE_    =	tuple(UpperCAmelCase__ )
        SCREAMING_SNAKE_CASE_    =	tuple(list(word[:-1] ) + [word[-1] + "</w>"] )
        SCREAMING_SNAKE_CASE_    =	get_pairs(UpperCAmelCase__ )

        if not pairs:
              return token

        while True:
              SCREAMING_SNAKE_CASE_    =	min(UpperCAmelCase__	,  key=lambda __magic_name__ : self.bpe_ranks.get(UpperCAmelCase__	,  float("inf" ) ) )
              if bigram not in self.bpe_ranks:
                    break
              SCREAMING_SNAKE_CASE_  ,			SCREAMING_SNAKE_CASE_    =	bigram
              SCREAMING_SNAKE_CASE_    =	[]
              SCREAMING_SNAKE_CASE_    =	0
              while i < len(UpperCAmelCase__ ):
                    try:
                          SCREAMING_SNAKE_CASE_    =	word.index(UpperCAmelCase__	,  UpperCAmelCase__ )
                    except ValueError:
                          new_word.extend(word[i:] )
                          break
                    else:
                          new_word.extend(word[i:j] )
                          SCREAMING_SNAKE_CASE_    =	j

                    if word[i] == first and i < len(UpperCAmelCase__ ) - 1 and word[i + 1] == second:
                          new_word.append(first + second )
                          i += 2
                    else:
                          new_word.append(word[i] )
                          i += 1
              SCREAMING_SNAKE_CASE_    =	tuple(UpperCAmelCase__ )
              SCREAMING_SNAKE_CASE_    =	new_word
              if len(UpperCAmelCase__ ) == 1:
                    break
              else:
                    SCREAMING_SNAKE_CASE_    =	get_pairs(UpperCAmelCase__ )
        SCREAMING_SNAKE_CASE_    =	"@@ ".join(UpperCAmelCase__ )
        SCREAMING_SNAKE_CASE_    =	word[:-4]
        SCREAMING_SNAKE_CASE_    =	word
        return word







  def  __A  (				self			:							str	,  __magic_name__			:							Optional[Any] )	->						Any:
        SCREAMING_SNAKE_CASE_    =	[]

        SCREAMING_SNAKE_CASE_    =	re.findall(r"\S+\n?"	,  UpperCAmelCase__ )

        for token in words:
              split_tokens.extend(list(self.bpe(UpperCAmelCase__ ).split(" " ) ) )
        return split_tokens







  def  __A  (				self			:							Optional[int]	,  __magic_name__			:							Tuple )	->						Dict:
        return self.encoder.get(UpperCAmelCase__	,  self.encoder.get(self.unk_token ) )







  def  __A  (				self			:							Any	,  __magic_name__			:							Optional[int] )	->						str:
        return self.decoder.get(UpperCAmelCase__	,  self.unk_token )







  def  __A  (				self			:							Tuple	,  __magic_name__			:							Optional[Any] )	->						Optional[int]:
        SCREAMING_SNAKE_CASE_    =	" ".join(UpperCAmelCase__ ).replace("@@ "	,  "" ).strip()
        return out_string







  def  __A  (				self			:							Tuple	,  __magic_name__			:							str	,  __magic_name__			:							Optional[str] = None )	->						Tuple[str]:

        if not os.path.isdir(UpperCAmelCase__ ):
              logger.error(F'''Vocabulary path ({save_directory}) should be a directory''' )
              return
        SCREAMING_SNAKE_CASE_    =	os.path.join(
            UpperCAmelCase__	,  (filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"] )
        SCREAMING_SNAKE_CASE_    =	os.path.join(
            UpperCAmelCase__	,  (filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["merges_file"] )

        with open(UpperCAmelCase__	,  "w"	,  encoding="utf-8" ) as f:
              f.write(json.dumps(self.encoder	,  indent=2	,  sort_keys=UpperCAmelCase__	,  ensure_ascii=UpperCAmelCase__ ) + "\n" )

        SCREAMING_SNAKE_CASE_    =	0
        with open(UpperCAmelCase__	,  "w"	,  encoding="utf-8" ) as writer:
              writer.write("#version: 0.2\n" )
              for bpe_tokens, token_index in sorted(self.bpe_ranks.items()	,  key=lambda __magic_name__ : kv[1] ):
                    if index != token_index:
                          logger.warning(
                              F'''Saving vocabulary to {merge_file}: BPE merge indices are not consecutive.'''
                              " Please check that the tokenizer is not corrupted!" )
                          SCREAMING_SNAKE_CASE_    =	token_index
                    writer.write(" ".join(UpperCAmelCase__ ) + "\n" )
                    index += 1

        return vocab_file, merge_file

  # def decode(self, token_ids, skip_special_tokens=False, clean_up_tokenization_spaces=True):
  #     filtered_tokens = ' '.join(self.convert_ids_to_tokens(token_ids, skip_special_tokens=skip_special_tokens))
  #     tokens_generated_so_far = re.sub('(@@ )', '', string=filtered_tokens)
  #     tokens_generated_so_far = re.sub('(@@ ?$)', '', string=tokens_generated_so_far)
  #     return ''.join(tokens_generated_so_far)








import heapq
import sys

import numpy as np

_lowerCamelCase      :						Any							=  tuple[int, int]


class 							UpperCamelCase_       :

    '''simple docstring'''






    def __init__(     self :      Any)		->str:





           '''simple docstring'''

           A__ 					=       []
           A__ 					=       set()


    def 			SCREAMING_SNAKE_CASE				(     self :      Optional[int])		->List[str]:





           '''simple docstring'''

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


    def 			SCREAMING_SNAKE_CASE				(     self :      Tuple)		->str:





           '''simple docstring'''

           return len(self.elements) == 0


    def 			SCREAMING_SNAKE_CASE				(     self :      Dict   ,					UpperCAmelCase__ :      Tuple   ,					UpperCAmelCase__ :      Optional[Any])		->List[str]:





           '''simple docstring'''

           if item not in self.set:
                  heapq.heappush(self.elements   ,					(priority, item))
                  self.set.add(UpperCAmelCase__)
           else:
                  # update
                  # print("update", item)
                  A__ 					=       []
                  ((A__)					,				(A__)) 					=       heapq.heappop(self.elements)
                  while x != item:
                         temp.append((pri, x))
                         ((A__)					,				(A__)) 					=       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]   ,					UpperCAmelCase__ :      List[Any])		->Union[str, Any]:





           '''simple docstring'''

           if item in self.set:
                  self.set.remove(UpperCAmelCase__)
                  A__ 					=       []
                  ((A__)					,				(A__)) 					=       heapq.heappop(self.elements)
                  while x != item:
                         temp.append((pro, x))
                         ((A__)					,				(A__)) 					=       heapq.heappop(self.elements)
                  for prito, yyy in temp:
                         heapq.heappush(self.elements   ,					(prito, yyy))


    def 			SCREAMING_SNAKE_CASE				(     self :      List[str])		->List[str]:





           '''simple docstring'''

           return self.elements[0][1]





    def 			SCREAMING_SNAKE_CASE				(     self :      Optional[int])		->int:





           '''simple docstring'''

           ((A__)					,				(A__)) 					=       heapq.heappop(self.elements)
           self.set.remove(UpperCAmelCase__)
           return (priority, item)







def SCREAMING_SNAKE_CASE							(			lowercase_					,							lowercase_		)  ->			str:



       """simple docstring"""

       A__ 					=       np.array(lowercase_		)
       A__ 					=       np.array(lowercase_		)
       return np.linalg.norm(a - b		)







def SCREAMING_SNAKE_CASE							(			lowercase_					,							lowercase_		)  ->			str:



       """simple docstring"""

       return consistent_heuristic(lowercase_					,							lowercase_		) // t







def SCREAMING_SNAKE_CASE							(			lowercase_					,							lowercase_		)  ->			Union[str, Any]:



       """simple docstring"""

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







def SCREAMING_SNAKE_CASE							(			lowercase_					,							lowercase_					,							lowercase_					,							lowercase_		)  ->			Optional[int]:



       """simple docstring"""

       A__ 					=       g_function[start] + Wa * heuristics[i](lowercase_					,							lowercase_		)
       return ans







def SCREAMING_SNAKE_CASE							(			lowercase_					,							lowercase_					,							lowercase_		)  ->			str:



       """simple docstring"""

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

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

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

       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__ 					=       back_pointer[goal]
       while x != start:
              print(lowercase_					,							end=''' '''		)
              A__ 					=       back_pointer[x]
       print(lowercase_		)
       sys.exit()







def SCREAMING_SNAKE_CASE							(			lowercase_		)  ->			Dict:



       """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 SCREAMING_SNAKE_CASE							(			lowercase_					,							lowercase_					,							lowercase_					,							lowercase_					,							lowercase_					,							lowercase_					,							lowercase_					,							lowercase_					,							)  ->			Union[str, Any]:



       """simple docstring"""

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

                     if valid(lowercase_		) 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(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 SCREAMING_SNAKE_CASE							(			)  ->			Optional[int]:



       """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


_lowerCamelCase      :						Dict							=  {0: consistent_heuristic, 1: heuristic_a, 2: heuristic_a}

_lowerCamelCase      :						Optional[Any]							=  [
    (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),
]
_lowerCamelCase      :						Optional[int]							=  make_common_ground()


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

# start and end destination
_lowerCamelCase      :						str							=  (0, 0)
_lowerCamelCase      :						Tuple							=  (n - 1, n - 1)

_lowerCamelCase      :						int							=  1







def SCREAMING_SNAKE_CASE							(			lowercase_					,							lowercase_					,							lowercase_		)  ->			str:



       """simple docstring"""

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

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

       A__ 					=       []
       A__ 					=       []
       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__					,				A__ 					=       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__ 					=       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)


