



"""simple docstring"""





import heapq
import sys

import numpy as np

lowercase					=       tuple[int, int]




class       lowercase__      :
							'''simple docstring'''







							def __init__(	self    )      ->				Union[str, Any]:
									_UpperCAmelCase							=		[]
									_UpperCAmelCase							=		set()






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



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






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






							def 							lowerCamelCase_ (	self						,							snake_case						,							snake_case    )      ->				int:



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






							def 							lowerCamelCase_ (	self						,							snake_case    )      ->				str:



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






							def 							lowerCamelCase_ (	self    )      ->				Union[str, Any]:
									return self.elements[0][1]






							def 							lowerCamelCase_ (	self    )      ->				List[str]:
									(_UpperCAmelCase)							=		heapq.heappop(self.elements    )
									self.set.remove(_lowerCamelCase    )
									return (priority, item)







def 						UpperCAmelCase  (		A						:    str  ,					A						:    Any							):

		'''simple docstring'''


		_UpperCAmelCase							=		np.array(__lowercase							)
		_UpperCAmelCase							=		np.array(__lowercase							)
		return np.linalg.norm(a - b							)




def 						UpperCAmelCase  (		A						:    List[Any]  ,					A						:    Optional[Any]							):

		'''simple docstring'''


		return consistent_heuristic(__lowercase  ,					__lowercase							) // t




def 						UpperCAmelCase  (		A						:    List[str]  ,					A						:    int							):

		'''simple docstring'''


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




def 						UpperCAmelCase  (		A						:    Union[str, Any]  ,					A						:    List[str]  ,					A						:    Dict  ,					A						:    List[Any]							):

		'''simple docstring'''


		_UpperCAmelCase							=		g_function[start] + Wa * heuristics[i](__lowercase  ,					__lowercase							)
		return ans




def 						UpperCAmelCase  (		A						:    Union[str, Any]  ,					A						:    List[str]  ,					A						:    List[Any]							):

		'''simple docstring'''


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

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

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

		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							=		back_pointer[goal]
		while x != start:
				print(__lowercase  ,					end=' '							)
				_UpperCAmelCase							=		back_pointer[x]
		print(__lowercase							)
		sys.exit()




def 						UpperCAmelCase  (		A						:    List[Any]							):

		'''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 						UpperCAmelCase  (		A						:    List[Any]  ,					A						:    Tuple  ,					A						:    Dict  ,					A						:    Union[str, Any]  ,					A						:    Optional[Any]  ,					A						:    Tuple  ,					A						:    Any  ,					A						:    str  ,					):

		'''simple docstring'''


		for itera in range(__lowercase							):
				open_list[itera].remove_element(__lowercase							)
		# print("s", s)
		# print("j", j)
		(_UpperCAmelCase)							=		s
		_UpperCAmelCase							=		(x - 1, y)
		_UpperCAmelCase							=		(x + 1, y)
		_UpperCAmelCase							=		(x, y + 1)
		_UpperCAmelCase							=		(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							=		-1
								_UpperCAmelCase							=		float('inf'							)

						if valid(__lowercase							) and g_function[neighbours] > g_function[s] + 1:
								_UpperCAmelCase							=		g_function[s] + 1
								_UpperCAmelCase							=		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 						UpperCAmelCase  (		):

		'''simple docstring'''


		_UpperCAmelCase							=		[]
		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					=       {0: consistent_heuristic, 1: heuristic_a, 2: heuristic_a}

lowercase					=       [
    (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),
]
lowercase					=       make_common_ground()


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

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

lowercase					=       1




def 						UpperCAmelCase  (		A						:    List[str]  ,					A						:    Any  ,					A						:    List[Any]							):

		'''simple docstring'''


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

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

		_UpperCAmelCase							=		[]
		_UpperCAmelCase							=		[]
		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							=		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							=		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 json
from typing import List, Optional, Tuple

from tokenizers import normalizers
from tokenizers.pre_tokenizers import BertPreTokenizer, PreTokenizer

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_roformer import RoFormerTokenizer
from .tokenization_utils import JiebaPreTokenizer


__SCREAMING_SNAKE_CASE							=     logging.get_logger(__name__)

__SCREAMING_SNAKE_CASE							=     {'vocab_file': 'vocab.txt', 'tokenizer_file': 'tokenizer.json'}

__SCREAMING_SNAKE_CASE							=     {
    'vocab_file': {
        'junnyu/roformer_chinese_small': 'https://huggingface.co/junnyu/roformer_chinese_small/resolve/main/vocab.txt',
        'junnyu/roformer_chinese_base': 'https://huggingface.co/junnyu/roformer_chinese_base/resolve/main/vocab.txt',
        'junnyu/roformer_chinese_char_small': (
            'https://huggingface.co/junnyu/roformer_chinese_char_small/resolve/main/vocab.txt'
        ),
        'junnyu/roformer_chinese_char_base': (
            'https://huggingface.co/junnyu/roformer_chinese_char_base/resolve/main/vocab.txt'
        ),
        'junnyu/roformer_small_discriminator': (
            'https://huggingface.co/junnyu/roformer_small_discriminator/resolve/main/vocab.txt'
        ),
        'junnyu/roformer_small_generator': (
            'https://huggingface.co/junnyu/roformer_small_generator/resolve/main/vocab.txt'
        ),
    }
}

__SCREAMING_SNAKE_CASE							=     {
    'junnyu/roformer_chinese_small': 1_536,
    'junnyu/roformer_chinese_base': 1_536,
    'junnyu/roformer_chinese_char_small': 512,
    'junnyu/roformer_chinese_char_base': 512,
    'junnyu/roformer_small_discriminator': 128,
    'junnyu/roformer_small_generator': 128,
}


__SCREAMING_SNAKE_CASE							=     {
    'junnyu/roformer_chinese_small': {'do_lower_case': True},
    'junnyu/roformer_chinese_base': {'do_lower_case': True},
    'junnyu/roformer_chinese_char_small': {'do_lower_case': True},
    'junnyu/roformer_chinese_char_base': {'do_lower_case': True},
    'junnyu/roformer_small_discriminator': {'do_lower_case': True},
    'junnyu/roformer_small_generator': {'do_lower_case': True},
}





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



     def __init__(							self :Tuple      ,  _lowerCamelCase :Dict=None      ,  _lowerCamelCase :Dict=None      ,  _lowerCamelCase :List[Any]=True      ,  _lowerCamelCase :Dict="[UNK]"      ,  _lowerCamelCase :List[str]="[SEP]"      ,  _lowerCamelCase :str="[PAD]"      ,  _lowerCamelCase :Optional[Any]="[CLS]"      ,  _lowerCamelCase :Optional[int]="[MASK]"      ,  _lowerCamelCase :str=True      ,  _lowerCamelCase :Tuple=None      ,  **_lowerCamelCase :Any      ,  ):







      '''simple docstring'''



      super().__init__(
          _lowerCamelCase      ,  tokenizer_file=_lowerCamelCase      ,  do_lower_case=_lowerCamelCase      ,  unk_token=_lowerCamelCase      ,  sep_token=_lowerCamelCase      ,  pad_token=_lowerCamelCase      ,  cls_token=_lowerCamelCase      ,  mask_token=_lowerCamelCase      ,  tokenize_chinese_chars=_lowerCamelCase      ,  strip_accents=_lowerCamelCase      ,  **_lowerCamelCase      ,  )

      UpperCamelCase_     :					Any   	=json.loads(self.backend_tokenizer.normalizer.__getstate__()   )
      if (
          pre_tok_state.get('lowercase'      ,  _lowerCamelCase   ) != do_lower_case
          or pre_tok_state.get('strip_accents'      ,  _lowerCamelCase   ) != strip_accents
      ):
       UpperCamelCase_     :					Optional[Any]   	=getattr(_lowerCamelCase      ,  pre_tok_state.pop('type'   )   )
       UpperCamelCase_     :					Tuple   	=do_lower_case
       UpperCamelCase_     :					Union[str, Any]   	=strip_accents
       UpperCamelCase_     :					Union[str, Any]   	=pre_tok_class(**_lowerCamelCase   )

      UpperCamelCase_     :					List[str]   	=do_lower_case



     def __getstate__(							self :Any   ):







      '''simple docstring'''



      UpperCamelCase_     :					str   	=self.__dict__.copy()
      UpperCamelCase_     :					Union[str, Any]   	=BertPreTokenizer()
      return state



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







      '''simple docstring'''



      UpperCamelCase_     :					int   	=d
      UpperCamelCase_     :					Optional[int]   	=self.__dict__['_tokenizer'].get_vocab()
      UpperCamelCase_     :					Any   	=PreTokenizer.custom(JiebaPreTokenizer(_lowerCamelCase   )   )



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







      '''simple docstring'''



      UpperCamelCase_     :					int   	=[self.cls_token_id] + token_ids_a + [self.sep_token_id]

      if token_ids_a:
       output += token_ids_a + [self.sep_token_id]

      return output



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







      '''simple docstring'''



      UpperCamelCase_     :					List[Any]   	=[self.sep_token_id]
      UpperCamelCase_     :					List[Any]   	=[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 :Optional[int]      ,  _lowerCamelCase :str      ,  _lowerCamelCase :Optional[str] = None   ):







      '''simple docstring'''



      UpperCamelCase_     :					List[Any]   	=self._tokenizer.model.save(_lowerCamelCase      ,  name=_lowerCamelCase   )
      return tuple(_lowerCamelCase   )




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







      '''simple docstring'''



      UpperCamelCase_     :					str   	=BertPreTokenizer()
      return super().save_pretrained(_lowerCamelCase      ,  _lowerCamelCase      ,  _lowerCamelCase      ,  _lowerCamelCase      ,  **_lowerCamelCase   )
