



"""simple docstring"""
from __future__ import annotations

__SCREAMING_SNAKE_CASE  :						str    							=      [
    [-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]]]:
				_lowerCamelCase        =				[
				    [0 for col in range(len(grid[0]							)							)] for row in range(len(lowercase_							)							)
				]  # the reference grid
				_lowerCamelCase        =				1
				_lowerCamelCase        =				[
				    [0 for col in range(len(grid[0]							)							)] for row in range(len(lowercase_							)							)
				]  # 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(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()
												_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(lowercase_							)							):  # to try out different valid actions
																				_lowerCamelCase        =				x + DIRECTIONS[i][0]
																				_lowerCamelCase        =				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:
																												_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(lowercase_							)							):
								path.append(invpath[len(lowercase_							) - 1 - i]							)
				return path, action


if __name__ == "__main__":
			__SCREAMING_SNAKE_CASE  :						Tuple    							=      [
			    [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],
			]

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

			# the cost map which pushes the path closer to the goal
			__SCREAMING_SNAKE_CASE  :						Union[str, Any]    							=      [[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])):
									__SCREAMING_SNAKE_CASE  :						Union[str, Any]    							=      abs(i - goal[0]) + abs(j - goal[1])
									if grid[i][j] == 1:
												# added extra penalty in the heuristic map
												__SCREAMING_SNAKE_CASE  :						Union[str, Any]    							=      9_9

			__SCREAMING_SNAKE_CASE							,					__SCREAMING_SNAKE_CASE  :						List[str]    							=      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"""
# tests directory-specific settings - this file is run automatically
# by pytest before any tests are run

import sys
import warnings
from os.path import abspath, dirname, join


# allow having multiple repository checkouts and not needing to remember to rerun
# 'pip install -e .[dev]' when switching between checkouts and running tests.
__SCREAMING_SNAKE_CASE  :						Optional[Any]    							=      abspath(join(dirname(dirname(__file__)), '''src'''))
sys.path.insert(1, git_repo_path)

# silence FutureWarning warnings in tests since often we can't act on them until
# they become normal warnings - i.e. the tests still need to test the current functionality
warnings.simplefilter(action='''ignore''', category=FutureWarning)



def        lowerCAmelCase_(   lowercase_     :							List[Any]							)	->       Optional[Any]:
				from diffusers.utils.testing_utils import pytest_addoption_shared

				pytest_addoption_shared(lowercase_							)




def        lowerCAmelCase_(   lowercase_     :							List[str]							)	->       List[str]:
				from diffusers.utils.testing_utils import pytest_terminal_summary_main

				_lowerCamelCase        =				terminalreporter.config.getoption('''--make-reports'''							)
				if make_reports:
								pytest_terminal_summary_main(lowercase_						,   id=lowercase_							)
