






'''simple docstring'''


import heapq
import sys

import numpy as np

lowerCamelCase_				: List[str]    	=							tuple[int, int]
class    _SCREAMING_SNAKE_CASE							:


   '''simple docstring'''





   def __init__(   self							:						Optional[int]			)							->    Dict:

         '''simple docstring'''







         UpperCamelCase__         = []
         UpperCamelCase__         = set()






   def 				A      (   self							:						int			)							->    List[Any]:

         '''simple docstring'''







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






   def 				A      (   self							:						Dict			)							->    Optional[Any]:

         '''simple docstring'''







         return len(self.elements			) == 0






   def 				A      (   self							:						str ,      lowercase							:						Union[str, Any] ,      lowercase							:						Optional[Any]			)							->    Dict:

         '''simple docstring'''







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






   def 				A      (   self							:						List[str] ,      lowercase							:						Optional[Any]			)							->    Dict:

         '''simple docstring'''







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






   def 				A      (   self							:						Any			)							->    List[Any]:

         '''simple docstring'''







         return self.elements[0][1]







   def 				A      (   self							:						Optional[int]			)							->    List[Any]:

         '''simple docstring'''







         ((UpperCamelCase__)    ,   (UpperCamelCase__))         = heapq.heappop(self.elements			)
         self.set.remove(_lowerCAmelCase			)
         return (priority, item)







def 	__magic_name__( _A						,      _A					):
      '''simple docstring'''





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







def 	__magic_name__( _A						,      _A					):
      '''simple docstring'''





      return consistent_heuristic(_A						,      _A					) // t







def 	__magic_name__( _A						,      _A					):
      '''simple docstring'''





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







def 	__magic_name__( _A						,      _A						,      _A						,      _A					):
      '''simple docstring'''





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







def 	__magic_name__( _A						,      _A						,      _A					):
      '''simple docstring'''





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

      for i in range(_A					):
            for j in range(_A					):
                  if (j, (n - 1) - i) in blocks:
                        UpperCamelCase__         = """#"""

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

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







def 	__magic_name__( _A					):
      '''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 	__magic_name__( _A						,      _A						,      _A						,      _A						,      _A						,      _A						,      _A						,      _A						,      ):
      '''simple docstring'''





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

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







def 	__magic_name__( ):
      '''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


lowerCamelCase_				: Optional[int]    	=							{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[Any]    	=							make_common_ground()


lowerCamelCase_				: Dict    	=							blocks_blk
# hyper parameters
lowerCamelCase_				: Union[str, Any]    	=							1
lowerCamelCase_				: Union[str, Any]    	=							1
lowerCamelCase_				: Optional[int]    	=							20
lowerCamelCase_				: List[str]    	=							3  # one consistent and two other inconsistent

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

lowerCamelCase_				: Optional[Any]    	=							1







def 	__magic_name__( _A						,      _A						,      _A					):
      '''simple docstring'''





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

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

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


from collections import Counter
from pathlib import Path
from typing import Optional, Tuple

import yaml
class    _SCREAMING_SNAKE_CASE							(		yaml.SafeLoader	):


			'''simple docstring'''





			def 				A      (   self							:						List[str] ,      lowercase							:						List[Any]			)							->    int:

									'''simple docstring'''







									UpperCamelCase__         = [self.constructed_objects[key_node] for key_node, _ in node.value]
									UpperCamelCase__         = [tuple(lowercase			) if isinstance(lowercase ,      lowercase			) else key for key in keys]
									UpperCamelCase__         = Counter(lowercase			)
									UpperCamelCase__         = [key for key in counter if counter[key] > 1]
									if duplicate_keys:
															raise TypeError(f"Got duplicate yaml keys: {duplicate_keys}"			)







			def 				A      (   self							:						List[str] ,      lowercase							:						int ,      lowercase							:						str=False			)							->    Any:

									'''simple docstring'''







									UpperCamelCase__         = super().construct_mapping(lowercase ,      deep=lowercase			)
									self._check_no_duplicates_on_constructed_node(lowercase			)
									return mapping







def 	__magic_name__( _A					):
						'''simple docstring'''





						UpperCamelCase__         = list(readme_content.splitlines()					)
						if full_content and full_content[0] == "---" and "---" in full_content[1:]:
												UpperCamelCase__         = full_content[1:].index("""---"""					) + 1
												UpperCamelCase__         = """\n""".join(full_content[1:sep_idx]					)
												return yamlblock, "\n".join(full_content[sep_idx + 1 :]					)

						return None, "\n".join(_A					)
class    _SCREAMING_SNAKE_CASE							(		SCREAMING_SNAKE_CASE	):


			'''simple docstring'''





			__a							:							Tuple					     =					{"train_eval_index"}  # train-eval-index in the YAML metadata






			@classmethod
			def 				A      (   cls							:						int ,      lowercase							:						Path			)							->    "DatasetMetadata":

									'''simple docstring'''







									with open(lowercase ,      encoding="""utf-8"""			) as readme_file:
															UpperCamelCase__    ,   UpperCamelCase__         = _split_yaml_from_readme(readme_file.read()			)
									if yaml_string is not None:
															return cls.from_yaml_string(lowercase			)
									else:
															return cls()






			def 				A      (   self							:						int ,      lowercase							:						Path			)							->    Dict:

									'''simple docstring'''







									if path.exists():
															with open(lowercase ,      encoding="""utf-8"""			) as readme_file:
																					UpperCamelCase__         = readme_file.read()
									else:
															UpperCamelCase__         = None
									UpperCamelCase__         = self._to_readme(lowercase			)
									with open(lowercase ,      """w""" ,      encoding="""utf-8"""			) as readme_file:
															readme_file.write(lowercase			)






			def 				A      (   self							:						Any ,      lowercase							:						Optional[str] = None			)							->    str:

									'''simple docstring'''







									if readme_content is not None:
															UpperCamelCase__    ,   UpperCamelCase__         = _split_yaml_from_readme(lowercase			)
															UpperCamelCase__         = """---\n""" + self.to_yaml_string() + """---\n""" + content
									else:
															UpperCamelCase__         = """---\n""" + self.to_yaml_string() + """---\n"""
									return full_content






			@classmethod
			def 				A      (   cls							:						Tuple ,      lowercase							:						str			)							->    "DatasetMetadata":

									'''simple docstring'''







									UpperCamelCase__         = yaml.load(lowercase ,      Loader=_NoDuplicateSafeLoader			) or {}

									# Convert the YAML keys to DatasetMetadata fields
									UpperCamelCase__         = {
									    (key.replace("""-""" ,      """_"""			) if key.replace("""-""" ,      """_"""			) in cls._FIELDS_WITH_DASHES else key): value
									    for key, value in metadata_dict.items()
									}
									return cls(**lowercase			)







			def 				A      (   self							:						Dict			)							->    str:

									'''simple docstring'''







									return yaml.safe_dump(
									    {
									        (key.replace("""_""" ,      """-"""			) if key in self._FIELDS_WITH_DASHES else key): value
									        for key, value in self.items()
									    } ,      sort_keys=lowercase ,      allow_unicode=lowercase ,      encoding="""utf-8""" ,      ).decode("""utf-8"""			)
lowerCamelCase_				: str    	=							{
    '''image-classification''': [],
    '''translation''': [],
    '''image-segmentation''': [],
    '''fill-mask''': [],
    '''automatic-speech-recognition''': [],
    '''token-classification''': [],
    '''sentence-similarity''': [],
    '''audio-classification''': [],
    '''question-answering''': [],
    '''summarization''': [],
    '''zero-shot-classification''': [],
    '''table-to-text''': [],
    '''feature-extraction''': [],
    '''other''': [],
    '''multiple-choice''': [],
    '''text-classification''': [],
    '''text-to-image''': [],
    '''text2text-generation''': [],
    '''zero-shot-image-classification''': [],
    '''tabular-classification''': [],
    '''tabular-regression''': [],
    '''image-to-image''': [],
    '''tabular-to-text''': [],
    '''unconditional-image-generation''': [],
    '''text-retrieval''': [],
    '''text-to-speech''': [],
    '''object-detection''': [],
    '''audio-to-audio''': [],
    '''text-generation''': [],
    '''conversational''': [],
    '''table-question-answering''': [],
    '''visual-question-answering''': [],
    '''image-to-text''': [],
    '''reinforcement-learning''': [],
    '''voice-activity-detection''': [],
    '''time-series-forecasting''': [],
    '''document-question-answering''': [],
}


if __name__ == "__main__":
					from argparse import ArgumentParser

					lowerCamelCase_				: Tuple    	=							ArgumentParser(usage='''Validate the yaml metadata block of a README.md file.''')
					ap.add_argument('''readme_filepath''')
					lowerCamelCase_				: str    	=							ap.parse_args()

					lowerCamelCase_				: List[str]    	=							Path(args.readme_filepath)
					lowerCamelCase_				: Tuple    	=							DatasetMetadata.from_readme(readme_filepath)
					print(dataset_metadata)
					dataset_metadata.to_readme(readme_filepath)
