


"""simple docstring"""



from __future__ import annotations

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







def   __lowerCAmelCase						(						lowercase  :  list[list[int]]						,							lowercase  :  list[int]						,							lowercase  :  list[int]						,							lowercase  :  int						,							lowercase  :  list[list[int]]						,							)	->						tuple[list[list[int]], list[list[int]]]:


    """simple docstring"""





    snake_case    :      str      					=    [
        [0 for col in range(len(grid[0] ) )] for row in range(len(lowercase ) )
    ]  # the reference grid
    snake_case    :      Tuple      					=    1
    snake_case    :      List[Any]      					=    [
        [0 for col in range(len(grid[0] ) )] for row in range(len(lowercase ) )
    ]  # the action grid

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

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

    while not found and not resign:
        if len(lowercase ) == 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()
            snake_case    :      Optional[int]      					=    cell.pop()
            snake_case    :      List[str]      					=    next_cell[2]
            snake_case    :      Tuple      					=    next_cell[3]
            snake_case    :      Any      					=    next_cell[1]

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

    snake_case    :      Union[str, Any]      					=    []
    for i in range(len(lowercase ) ):
        path.append(invpath[len(lowercase ) - 1 - i] )
    return path, action


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

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

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

  __snake_case			,		__snake_case   			=    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"""



from typing import List

import numpy as np







def   __lowerCAmelCase						(						lowercase  :  dict )	->						int:


    """simple docstring"""





    snake_case    :      Union[str, Any]      					=    {key: len(lowercase ) for key, value in gen_kwargs.items() if isinstance(lowercase						,							lowercase )}
    if len(set(lists_lengths.values() ) ) > 1:
        raise RuntimeError(
            (
                "Sharding is ambiguous for this dataset: "
                + "we found several data sources lists of different lengths, and we don't know over which list we should parallelize:\n"
                + "\n".join(F'\t- key {key} has length {length}' for key, length in lists_lengths.items() )
                + "\nTo fix this, check the 'gen_kwargs' and make sure to use lists only for data sources, "
                + "and use tuples otherwise. In the end there should only be one single list, or several lists with the same length."
            ) )
    snake_case    :      int      					=    max(lists_lengths.values()						,							default=0 )
    return max(1						,							lowercase )







def   __lowerCAmelCase						(						lowercase  :  int						,							lowercase  :  int )	->						List[range]:


    """simple docstring"""





    snake_case    :      Union[str, Any]      					=    []
    for group_idx in range(lowercase ):
        snake_case    :      Union[str, Any]      					=    num_shards // max_num_jobs + (group_idx < (num_shards % max_num_jobs))
        if num_shards_to_add == 0:
            break
        snake_case    :      int      					=    shards_indices_per_group[-1].stop if shards_indices_per_group else 0
        snake_case    :      Dict      					=    range(lowercase						,							start + num_shards_to_add )
        shards_indices_per_group.append(lowercase )
    return shards_indices_per_group







def   __lowerCAmelCase						(						lowercase  :  dict						,							lowercase  :  int )	->						List[dict]:


    """simple docstring"""





    snake_case    :      int      					=    _number_of_shards_in_gen_kwargs(lowercase )
    if num_shards == 1:
        return [dict(lowercase )]
    else:
        snake_case    :      Optional[int]      					=    _distribute_shards(num_shards=lowercase						,							max_num_jobs=lowercase )
        return [
            {
                key: [value[shard_idx] for shard_idx in shard_indices_per_group[group_idx]]
                if isinstance(lowercase						,							lowercase )
                else value
                for key, value in gen_kwargs.items()
            }
            for group_idx in range(len(lowercase ) )
        ]







def   __lowerCAmelCase						(						lowercase  :  List[dict] )	->						dict:


    """simple docstring"""





    return {
        key: [value for gen_kwargs in gen_kwargs_list for value in gen_kwargs[key]]
        if isinstance(gen_kwargs_list[0][key]						,							lowercase )
        else gen_kwargs_list[0][key]
        for key in gen_kwargs_list[0]
    }







def   __lowerCAmelCase						(						lowercase  :  np.random.Generator						,							lowercase  :  dict )	->						dict:


    """simple docstring"""





    snake_case    :      Tuple      					=    {len(lowercase ) for value in gen_kwargs.values() if isinstance(lowercase						,							lowercase )}
    snake_case    :      str      					=    {}
    for size in list_sizes:
        snake_case    :      Optional[int]      					=    list(range(lowercase ) )
        rng.shuffle(indices_per_size[size] )
    # Now let's copy the gen_kwargs and shuffle the lists based on their sizes
    snake_case    :      Dict      					=    dict(lowercase )
    for key, value in shuffled_kwargs.items():
        if isinstance(lowercase						,							lowercase ):
            snake_case    :      Dict      					=    [value[i] for i in indices_per_size[len(lowercase )]]
    return shuffled_kwargs





