


"""simple docstring"""


import time
from contextlib import contextmanager
from pathlib import Path

import pytest
import requests
from huggingface_hub.hf_api import HfApi, HfFolder


_snake_case          =							"__DUMMY_TRANSFORMERS_USER__"
_snake_case          =							"Dummy User"
_snake_case          =							"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"

_snake_case          =							"https://hub-ci.huggingface.co"
_snake_case          =							CI_HUB_ENDPOINT + "/datasets/{repo_id}/resolve/{revision}/{path}"
_snake_case          =							CI_HUB_ENDPOINT + "/{repo_id}/resolve/{revision}/{filename}"
_snake_case          =							Path("~/.huggingface/hub_ci_token").expanduser()



@pytest.fixture
def   snake_case						(				_a:     Union[str, Any]							)->		Tuple:
      '''simple docstring'''


      monkeypatch.setattr(
          'huggingface_hub.file_download.HUGGINGFACE_CO_URL_TEMPLATE'		,   _a							)



@pytest.fixture
def   snake_case						(				_a:     List[Any]							)->		Any:
      '''simple docstring'''


      monkeypatch.setattr('datasets.config.HF_ENDPOINT'		,   _a							)
      monkeypatch.setattr('datasets.config.HUB_DATASETS_URL'		,   _a							)



@pytest.fixture
def   snake_case						(				_a:     Optional[Any]							)->		List[Any]:
      '''simple docstring'''


      monkeypatch.setattr('huggingface_hub.hf_api.HfFolder.path_token'		,   _a							)



@pytest.fixture
def   snake_case						(				_a:     List[Any]		,   _a:     List[Any]							)->		List[Any]:
      '''simple docstring'''


      HfFolder.save_token(_a							)
      yield
      HfFolder.delete_token()



@pytest.fixture(scope='session'							)
def   snake_case						(				)->		List[Any]:
      '''simple docstring'''


      return HfApi(endpoint=_a							)



@pytest.fixture(scope='session'							)
def   snake_case						(				_a:     HfApi							)->		Dict:
      '''simple docstring'''


      lowerCamelCase__           =		HfFolder.get_token()
      HfFolder.save_token(_a							)
      yield CI_HUB_USER_TOKEN
      if previous_token is not None:
            HfFolder.save_token(_a							)



@pytest.fixture
def   snake_case						(				_a:     int							)->		Optional[Any]:
      '''simple docstring'''


      def _cleanup_repo(_a:     int							):
            hf_api.delete_repo(_a		,   token=_a		,   repo_type='dataset'							)

      return _cleanup_repo



@pytest.fixture
def   snake_case						(				_a:     Tuple							)->		str:
      '''simple docstring'''


      @contextmanager
      def _temporary_repo(_a:     Any							):
            try:
                  yield repo_id
            finally:
                  cleanup_repo(_a							)

      return _temporary_repo



@pytest.fixture(scope='session'							)
def   snake_case						(				_a:     HfApi		,   _a:     Dict		,   _a:     Optional[int]							)->		Dict:
      '''simple docstring'''


      lowerCamelCase__           =		F'repo_txt_data-{int(time.time() * 10E3							)}'
      lowerCamelCase__           =		F'{CI_HUB_USER}/{repo_name}'
      hf_api.create_repo(_a		,   token=_a		,   repo_type='dataset'		,   private=_a							)
      hf_api.upload_file(
          token=_a		,   path_or_fileobj=str(_a							)		,   path_in_repo='data/text_data.txt'		,   repo_id=_a		,   repo_type='dataset'		,   )
      yield repo_id
      try:
            hf_api.delete_repo(_a		,   token=_a		,   repo_type='dataset'							)
      except (requests.exceptions.HTTPError, ValueError):  # catch http error and token invalid error
            pass



@pytest.fixture()
def   snake_case						(				_a:     Dict		,   _a:     int		,   _a:     Any							)->		Tuple:
      '''simple docstring'''


      return hf_private_dataset_repo_txt_data_



@pytest.fixture(scope='session'							)
def   snake_case						(				_a:     HfApi		,   _a:     Dict		,   _a:     Optional[Any]							)->		str:
      '''simple docstring'''


      lowerCamelCase__           =		F'repo_zipped_txt_data-{int(time.time() * 10E3							)}'
      lowerCamelCase__           =		F'{CI_HUB_USER}/{repo_name}'
      hf_api.create_repo(_a		,   token=_a		,   repo_type='dataset'		,   private=_a							)
      hf_api.upload_file(
          token=_a		,   path_or_fileobj=str(_a							)		,   path_in_repo='data.zip'		,   repo_id=_a		,   repo_type='dataset'		,   )
      yield repo_id
      try:
            hf_api.delete_repo(_a		,   token=_a		,   repo_type='dataset'							)
      except (requests.exceptions.HTTPError, ValueError):  # catch http error and token invalid error
            pass



@pytest.fixture()
def   snake_case						(				_a:     List[Any]		,   _a:     Tuple		,   _a:     Dict							)->		Optional[Any]:
      '''simple docstring'''


      return hf_private_dataset_repo_zipped_txt_data_



@pytest.fixture(scope='session'							)
def   snake_case						(				_a:     HfApi		,   _a:     Optional[Any]		,   _a:     Tuple							)->		int:
      '''simple docstring'''


      lowerCamelCase__           =		F'repo_zipped_img_data-{int(time.time() * 10E3							)}'
      lowerCamelCase__           =		F'{CI_HUB_USER}/{repo_name}'
      hf_api.create_repo(_a		,   token=_a		,   repo_type='dataset'		,   private=_a							)
      hf_api.upload_file(
          token=_a		,   path_or_fileobj=str(_a							)		,   path_in_repo='data.zip'		,   repo_id=_a		,   repo_type='dataset'		,   )
      yield repo_id
      try:
            hf_api.delete_repo(_a		,   token=_a		,   repo_type='dataset'							)
      except (requests.exceptions.HTTPError, ValueError):  # catch http error and token invalid error
            pass






@pytest.fixture()
def   snake_case						(				_a:     Optional[Any]		,   _a:     Optional[Any]		,   _a:     List[str]							)->		str:
      '''simple docstring'''


      return hf_private_dataset_repo_zipped_img_data_






"""simple docstring"""


from __future__ import annotations

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



def   snake_case						(				_a:     list[list[int]]		,   _a:     list[int]		,   _a:     list[int]		,   _a:     int		,   _a:     list[list[int]]		,   )->		tuple[list[list[int]], list[list[int]]]:
      '''simple docstring'''


      lowerCamelCase__           =		[
          [0 for col in range(len(grid[0]							)							)] for row in range(len(_a							)							)
      ]  # the reference grid
      lowerCamelCase__           =		1
      lowerCamelCase__           =		[
          [0 for col in range(len(grid[0]							)							)] for row in range(len(_a							)							)
      ]  # the action grid

      lowerCamelCase__           =		init[0]
      lowerCamelCase__           =		init[1]
      lowerCamelCase__           =		0
      lowerCamelCase__           =		g + heuristic[x][y]  # cost from starting cell to destination cell
      lowerCamelCase__           =		[[f, g, x, y]]

      lowerCamelCase__           =		False  # flag that is set when search is complete
      lowerCamelCase__           =		False  # flag set if we can't find expand

      while not found and not resign:
            if len(_a							) == 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__           =		cell.pop()
                  lowerCamelCase__           =		next_cell[2]
                  lowerCamelCase__           =		next_cell[3]
                  lowerCamelCase__           =		next_cell[1]

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

      lowerCamelCase__           =		[]
      for i in range(len(_a							)							):
            path.append(invpath[len(_a							) - 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])



