


'''simple docstring'''






from __future__ import annotations

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





def lowerCamelCase__     (		__lowerCamelCase			:				list[list[int]]			,       __lowerCamelCase			:				list[int]			,       __lowerCamelCase			:				list[int]			,       __lowerCamelCase			:				int			,       __lowerCamelCase			:				list[list[int]]			,       ):







   '''simple docstring'''




   _UpperCAmelCase  :  str				       =[
       [0 for col in range(len(grid[0]				)				)] for row in range(len(__lowerCamelCase				)				)
   ]  # the reference grid
   _UpperCAmelCase  :  Optional[Any]				       =1
   _UpperCAmelCase  :  Tuple				       =[
       [0 for col in range(len(grid[0]				)				)] for row in range(len(__lowerCamelCase				)				)
   ]  # the action grid

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

   _UpperCAmelCase  :  Dict				       =False  # flag that is set when search is complete
   _UpperCAmelCase  :  Tuple				       =False  # flag set if we can't find expand

   while not found and not resign:
      if len(__lowerCamelCase				) == 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()
         _UpperCAmelCase  :  Dict				       =cell.pop()
         _UpperCAmelCase  :  List[Any]				       =next_cell[2]
         _UpperCAmelCase  :  int				       =next_cell[3]
         _UpperCAmelCase  :  str				       =next_cell[1]

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

   _UpperCAmelCase  :  int				       =[]
   for i in range(len(__lowerCamelCase				)				):
      path.append(invpath[len(__lowerCamelCase				) - 1 - i]				)
   return path, action


if __name__ == "__main__":
 lowercase				=[
     [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],
 ]

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

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

 lowercase,  lowercase				=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])





'''simple docstring'''






import inspect
import re
from hashlib import shaaaa
from typing import Dict, List

from .arrow import arrow
from .audiofolder import audiofolder
from .csv import csv
from .imagefolder import imagefolder
from .json import json
from .pandas import pandas
from .parquet import parquet
from .sql import sql  # noqa F401
from .text import text





def lowerCamelCase__     (		__lowerCamelCase			:				List[str]				):







   '''simple docstring'''




   _UpperCAmelCase  :  int				       =[]
   for line in lines:
      _UpperCAmelCase  :  Dict				       =re.sub(R'#.*'			,       ''			,       __lowerCamelCase				)  # remove comments
      if line:
         filtered_lines.append(__lowerCamelCase				)
   _UpperCAmelCase  :  str				       ='\n'.join(__lowerCamelCase				)

   # Make a hash from all this code
   _UpperCAmelCase  :  str				       =full_str.encode('utf-8'				)
   return shaaaa(__lowerCamelCase				).hexdigest()


# get importable module names and hash for caching
lowercase				={
    'csv': (csv.__name__, _hash_python_lines(inspect.getsource(csv).splitlines())),
    'json': (json.__name__, _hash_python_lines(inspect.getsource(json).splitlines())),
    'pandas': (pandas.__name__, _hash_python_lines(inspect.getsource(pandas).splitlines())),
    'parquet': (parquet.__name__, _hash_python_lines(inspect.getsource(parquet).splitlines())),
    'arrow': (arrow.__name__, _hash_python_lines(inspect.getsource(arrow).splitlines())),
    'text': (text.__name__, _hash_python_lines(inspect.getsource(text).splitlines())),
    'imagefolder': (imagefolder.__name__, _hash_python_lines(inspect.getsource(imagefolder).splitlines())),
    'audiofolder': (audiofolder.__name__, _hash_python_lines(inspect.getsource(audiofolder).splitlines())),
}

# Used to infer the module to use based on the data files extensions
lowercase				={
    '.csv': ('csv', {}),
    '.tsv': ('csv', {'sep': '\t'}),
    '.json': ('json', {}),
    '.jsonl': ('json', {}),
    '.parquet': ('parquet', {}),
    '.arrow': ('arrow', {}),
    '.txt': ('text', {}),
}
_EXTENSION_TO_MODULE.update({ext: ('imagefolder', {}) for ext in imagefolder.ImageFolder.EXTENSIONS})
_EXTENSION_TO_MODULE.update({ext.upper(): ('imagefolder', {}) for ext in imagefolder.ImageFolder.EXTENSIONS})
_EXTENSION_TO_MODULE.update({ext: ('audiofolder', {}) for ext in audiofolder.AudioFolder.EXTENSIONS})
_EXTENSION_TO_MODULE.update({ext.upper(): ('audiofolder', {}) for ext in audiofolder.AudioFolder.EXTENSIONS})
lowercase				={'imagefolder', 'audiofolder'}

# Used to filter data files based on extensions given a module name
lowercase				={}
for _ext, (_module, _) in _EXTENSION_TO_MODULE.items():
 _MODULE_TO_EXTENSIONS.setdefault(_module, []).append(_ext)

_MODULE_TO_EXTENSIONS["imagefolder"].append('.zip')




_MODULE_TO_EXTENSIONS["audiofolder"].append('.zip')

