






from __future__ import annotations

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






def 	UpperCamelCase	(							snake_case__  : list[list[int]]						,snake_case__  : list[int]						,snake_case__  : list[int]						,snake_case__  : int						,snake_case__  : list[list[int]]						,):




     '''simple docstring'''






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

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

     __snake_case      :List[Any] 							=    False  # flag that is set when search is complete
     __snake_case      :Optional[int] 							=    False  # flag set if we can't find expand

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

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

     __snake_case      :Union[str, Any] 							=    []
     for i in range(len(snake_case__	)	):
          path.append(invpath[len(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 importlib
import os

import fsspec
import pytest
from fsspec import register_implementation
from fsspec.registry import _registry as _fsspec_registry

from datasets.filesystems import COMPRESSION_FILESYSTEMS, HfFileSystem, extract_path_from_uri, is_remote_filesystem

from .utils import require_lza, require_zstandard






def 	UpperCamelCase	(							snake_case__  : int	):




     '''simple docstring'''






     assert "mock" in _fsspec_registry
     assert "bz2" in _fsspec_registry






def 	UpperCamelCase	(							):




     '''simple docstring'''






     assert "mock" not in _fsspec_registry
     assert "bz2" in _fsspec_registry






def 	UpperCamelCase	(							):




     '''simple docstring'''






     __snake_case      :Tuple 							=    """mock-s3-bucket"""
     __snake_case      :Optional[Any] 							=    f'''s3://{mock_bucket}'''
     __snake_case      :Optional[int] 							=    extract_path_from_uri(snake_case__	)
     assert dataset_path.startswith("""s3://"""	) is False

     __snake_case      :Union[str, Any] 							=    """./local/path"""
     __snake_case      :List[str] 							=    extract_path_from_uri(snake_case__	)
     assert dataset_path == new_dataset_path






def 	UpperCamelCase	(							snake_case__  : str	):




     '''simple docstring'''






     __snake_case      :List[str] 							=    is_remote_filesystem(snake_case__	)
     assert is_remote is True

     __snake_case      :Any 							=    fsspec.filesystem("""file"""	)

     __snake_case      :Optional[Any] 							=    is_remote_filesystem(snake_case__	)
     assert is_remote is False






@pytest.mark.parametrize("""compression_fs_class"""						,snake_case__	)
def 	UpperCamelCase	(							snake_case__  : Optional[Any]						,snake_case__  : List[str]						,snake_case__  : int						,snake_case__  : List[Any]						,snake_case__  : Tuple						,snake_case__  : str						,snake_case__  : Optional[Any]	):




     '''simple docstring'''






     __snake_case      :Optional[int] 							=    {"""gzip""": gz_file, """xz""": xz_file, """zstd""": zstd_file, """bz2""": bza_file, """lz4""": lza_file}
     __snake_case      :Optional[Any] 							=    input_paths[compression_fs_class.protocol]
     if input_path is None:
          __snake_case      :Optional[int] 							=    f'''for \'{compression_fs_class.protocol}\' compression protocol, '''
          if compression_fs_class.protocol == "lz4":
               reason += require_lza.kwargs["reason"]
          elif compression_fs_class.protocol == "zstd":
               reason += require_zstandard.kwargs["reason"]
          pytest.skip(snake_case__	)
     __snake_case      :Optional[Any] 							=    fsspec.filesystem(compression_fs_class.protocol						,fo=snake_case__	)
     assert isinstance(snake_case__						,snake_case__	)
     __snake_case      :Dict 							=    os.path.basename(snake_case__	)
     __snake_case      :Dict 							=    expected_filename[: expected_filename.rindex("""."""	)]
     assert fs.glob("""*"""	) == [expected_filename]
     with fs.open(snake_case__						,"""r"""						,encoding="""utf-8"""	) as f, open(snake_case__						,encoding="""utf-8"""	) as expected_file:
          assert f.read() == expected_file.read()






@pytest.mark.parametrize("""protocol"""						,["""zip""", """gzip"""]	)
def 	UpperCamelCase	(							snake_case__  : List[Any]						,snake_case__  : List[Any]						,snake_case__  : Dict	):




     '''simple docstring'''






     __snake_case      :Optional[int] 							=    {"""zip""": zip_jsonl_path, """gzip""": jsonl_gz_path}
     __snake_case      :List[str] 							=    compressed_file_paths[protocol]
     __snake_case      :Optional[int] 							=    """dataset.jsonl"""
     __snake_case      :Optional[int] 							=    f'''{protocol}://{member_file_path}::{compressed_file_path}'''
     __snake_case							,			*__snake_case      :Optional[Any] 							=    fsspec.get_fs_token_paths(snake_case__	)
     assert fs.isfile(snake_case__	)
     assert not fs.isfile("""non_existing_""" + member_file_path	)






@pytest.mark.integration
def 	UpperCamelCase	(							snake_case__  : Optional[int]						,snake_case__  : Dict						,snake_case__  : List[str]						,snake_case__  : Dict	):




     '''simple docstring'''






     __snake_case      :List[Any] 							=    hf_api.dataset_info(snake_case__						,token=snake_case__	)
     __snake_case      :List[str] 							=    HfFileSystem(repo_info=snake_case__						,token=snake_case__	)
     assert sorted(hffs.glob("""*"""	)	) == [".gitattributes", "data"]
     assert hffs.isdir("""data"""	)
     assert hffs.isfile(""".gitattributes"""	) and hffs.isfile("""data/text_data.txt"""	)
     with open(snake_case__	) as f:
          assert hffs.open("""data/text_data.txt"""						,"""r"""	).read() == f.read()






def 	UpperCamelCase	(							):




     '''simple docstring'''






     __snake_case      :str 							=    """bz2"""

     # Import module
     import datasets.filesystems

     # Overwrite protocol and reload
     register_implementation(snake_case__						,snake_case__						,clobber=snake_case__	)
     with pytest.warns(snake_case__	) as warning_info:
          importlib.reload(datasets.filesystems	)

     assert len(snake_case__	) == 1
     assert (
         str(warning_info[0].message	)
         == f'''A filesystem protocol was already set for {protocol} and will be overwritten.'''
     )


