


from __future__ import annotations

lowerCamelCase											=       [
    [-1, 0],  # left
    [0, -1],  # down
    [1, 0],  # right
    [0, 1],  # up
]




def 	a_      (    SCREAMING_SNAKE_CASE__					:      list[list[int]]		,			SCREAMING_SNAKE_CASE__					:      list[int]		,			SCREAMING_SNAKE_CASE__					:      list[int]		,			SCREAMING_SNAKE_CASE__					:      int		,			SCREAMING_SNAKE_CASE__					:      list[list[int]]		,			):
       '''simple docstring'''





       _lowerCamelCase       :		Optional[int]		=[
           [0 for col in range(len(grid[0]     )     )] for row in range(len(SCREAMING_SNAKE_CASE__     )     )
       ]  # the reference grid
       _lowerCamelCase       :		Any		=1
       _lowerCamelCase       :		List[str]		=[
           [0 for col in range(len(grid[0]     )     )] for row in range(len(SCREAMING_SNAKE_CASE__     )     )
       ]  # the action grid

       _lowerCamelCase       :		Optional[Any]		=init[0]
       _lowerCamelCase       :		List[Any]		=init[1]
       _lowerCamelCase       :		str		=0
       _lowerCamelCase       :		str		=g + heuristic[x][y]  # cost from starting cell to destination cell
       _lowerCamelCase       :		Tuple		=[[f, g, x, y]]

       _lowerCamelCase       :		Union[str, Any]		=False  # flag that is set when search is complete
       _lowerCamelCase       :		Optional[Any]		=False  # flag set if we can't find expand

       while not found and not resign:
              if len(SCREAMING_SNAKE_CASE__     ) == 0:
                     raise ValueError('Algorithm is unable to find solution'     )
              else:  # to choose the least costliest action so as to move closer to the goal
                     cell.sort()
                     cell.reverse()
                     _lowerCamelCase       :		int		=cell.pop()
                     _lowerCamelCase       :		str		=next_cell[2]
                     _lowerCamelCase       :		Optional[Any]		=next_cell[3]
                     _lowerCamelCase       :		Dict		=next_cell[1]

                     if x == goal[0] and y == goal[1]:
                            _lowerCamelCase       :		List[str]		=True
                     else:
                            for i in range(len(SCREAMING_SNAKE_CASE__     )     ):  # to try out different valid actions
                                   _lowerCamelCase       :		List[str]		=x + DIRECTIONS[i][0]
                                   _lowerCamelCase       :		Union[str, Any]		=y + DIRECTIONS[i][1]
                                   if xa >= 0 and xa < len(SCREAMING_SNAKE_CASE__     ) and ya >= 0 and ya < len(grid[0]     ):
                                          if closed[xa][ya] == 0 and grid[xa][ya] == 0:
                                                 _lowerCamelCase       :		str		=g + cost
                                                 _lowerCamelCase       :		str		=ga + heuristic[xa][ya]
                                                 cell.append([fa, ga, xa, ya]     )
                                                 _lowerCamelCase       :		Dict		=1
                                                 _lowerCamelCase       :		Union[str, Any]		=i
       _lowerCamelCase       :		Optional[Any]		=[]
       _lowerCamelCase       :		Union[str, Any]		=goal[0]
       _lowerCamelCase       :		List[Any]		=goal[1]
       invpath.append([x, y]     )  # we get the reverse path from here
       while x != init[0] or y != init[1]:
              _lowerCamelCase       :		Dict		=x - DIRECTIONS[action[x][y]][0]
              _lowerCamelCase       :		List[str]		=y - DIRECTIONS[action[x][y]][1]
              _lowerCamelCase       :		str		=xa
              _lowerCamelCase       :		str		=ya
              invpath.append([x, y]     )

       _lowerCamelCase       :		List[Any]		=[]
       for i in range(len(SCREAMING_SNAKE_CASE__     )     ):
              path.append(invpath[len(SCREAMING_SNAKE_CASE__     ) - 1 - i]     )
       return path, action


if __name__ == "__main__":
 lowerCamelCase											=       [
     [0, 1, 0, 0, 0, 0],
     [0, 1, 0, 0, 0, 0],  # 0 are free path whereas 1's are obstacles
     [0, 1, 0, 0, 0, 0],
     [0, 1, 0, 0, 1, 0],
     [0, 0, 0, 0, 1, 0],
 ]

 lowerCamelCase											=       [0, 0]
 # all coordinates are given in format [y,x]
 lowerCamelCase											=       [len(grid) - 1, len(grid[0]) - 1]
 lowerCamelCase											=       1

 # the cost map which pushes the path closer to the goal
 lowerCamelCase											=       [[0 for row in range(len(grid[0]))] for col in range(len(grid))]
 for i in range(len(grid)):
  for j in range(len(grid[0])):
   lowerCamelCase											=       abs(i - goal[0]) + abs(j - goal[1])
   if grid[i][j] == 1:
    # added extra penalty in the heuristic map
    lowerCamelCase											=       99

 lowerCamelCase					,				lowerCamelCase											=       search(grid, init, goal, cost, heuristic)

 print('ACTION MAP')
 for i in range(len(action)):
  print(action[i])

 for i in range(len(path)):
  print(path[i])






import doctest
import logging
import os
import unittest
from pathlib import Path
from typing import List, Union

import transformers
from transformers.testing_utils import require_tf, require_torch, slow


lowerCamelCase											=       logging.getLogger()




@unittest.skip('Temporarily disable the doc tests.'     )
@require_torch
@require_tf
@slow
class A  (   unittest.TestCase     ):






      def        lowerCamelCase       (					self						:     Dict			,   lowercase_						:     Path			,   lowercase_						:     Union[str, None] = None			,   lowercase_						:     Union[List[str], None] = None			,   lowercase_						:     Union[str, List[str], None] = None			,   lowercase_						:     bool = True			,   )					->						Optional[int]:
             """simple docstring"""




             _lowerCamelCase       :		Optional[Any]		=[file for file in os.listdir(lowercase_ ) if os.path.isfile(os.path.join(lowercase_			,   lowercase_ ) )]

             if identifier is not None:
                    _lowerCamelCase       :		Any		=[file for file in files if identifier in file]

             if n_identifier is not None:
                    if isinstance(lowercase_			,   lowercase_ ):
                           for n_ in n_identifier:
                                  _lowerCamelCase       :		Any		=[file for file in files if n_ not in file]
                    else:
                           _lowerCamelCase       :		List[Any]		=[file for file in files if n_identifier not in file]

             _lowerCamelCase       :		List[Any]		=ignore_files or []
             ignore_files.append('__init__.py' )
             _lowerCamelCase       :		List[Any]		=[file for file in files if file not in ignore_files]

             for file in files:
                    # Open all files
                    print('Testing'			,   lowercase_ )

                    if only_modules:
                           _lowerCamelCase       :		Optional[int]		=file.split('.' )[0]
                           try:
                                  _lowerCamelCase       :		Any		=getattr(lowercase_			,   lowercase_ )
                                  _lowerCamelCase       :		Optional[int]		=doctest.DocTestSuite(lowercase_ )
                                  _lowerCamelCase       :		List[Any]		=unittest.TextTestRunner().run(lowercase_ )
                                  self.assertIs(len(result.failures )			,   0 )
                           except AttributeError:
                                  logger.info(F'''{module_identifier} is not a module.''' )
                    else:
                           _lowerCamelCase       :		int		=doctest.testfile(str('..' / directory / file )			,   optionflags=doctest.ELLIPSIS )
                           self.assertIs(result.failed			,   0 )






      def        lowerCamelCase       (					self						:     Any )					->						Tuple:
             """simple docstring"""




             _lowerCamelCase       :		int		=Path('src/transformers' )
             _lowerCamelCase       :		Optional[Any]		='modeling'
             _lowerCamelCase       :		List[str]		=[
                 'modeling_ctrl.py',
                 'modeling_tf_ctrl.py',
             ]
             self.analyze_directory(lowercase_			,   identifier=lowercase_			,   ignore_files=lowercase_ )






      def        lowerCamelCase       (					self						:     List[str] )					->						Tuple:
             """simple docstring"""




             _lowerCamelCase       :		Optional[int]		=Path('src/transformers' )
             _lowerCamelCase       :		Union[str, Any]		='tokenization'
             self.analyze_directory(lowercase_			,   identifier=lowercase_ )






      def        lowerCamelCase       (					self						:     Optional[int] )					->						Dict:
             """simple docstring"""




             _lowerCamelCase       :		str		=Path('src/transformers' )
             _lowerCamelCase       :		Any		='configuration'
             self.analyze_directory(lowercase_			,   identifier=lowercase_ )






      def        lowerCamelCase       (					self						:     List[str] )					->						Dict:
             """simple docstring"""




             _lowerCamelCase       :		Union[str, Any]		=Path('src/transformers' )
             _lowerCamelCase       :		int		=['configuration', 'modeling', 'tokenization']
             self.analyze_directory(lowercase_			,   n_identifier=lowercase_ )






      def        lowerCamelCase       (					self						:     Optional[Any] )					->						int:
             """simple docstring"""




             _lowerCamelCase       :		str		=Path('docs/source' )
             _lowerCamelCase       :		Dict		=['favicon.ico']
             self.analyze_directory(lowercase_			,   ignore_files=lowercase_			,   only_modules=lowercase_ )


