'''simple docstring'''







import os
import textwrap

import pyarrow as pa
import pytest

from datasets import ClassLabel, Features, Image
from datasets.packaged_modules.csv.csv import Csv

from ..utils import require_pil


@pytest.fixture
def    lowerCamelCase       (			UpperCAmelCase__				:  Optional[Any]		)			->	int:


							'''simple docstring'''






							SCREAMING_SNAKE_CASE__     :int						    = tmp_path / 'file.csv'
							SCREAMING_SNAKE_CASE__     :Dict						    = textwrap.dedent(
							    '\\n        header1,header2\n        1,2\n        10,20\n        '		)
							with open(UpperCAmelCase__				,						'w'		) as f:
														f.write(UpperCAmelCase__		)
							return str(UpperCAmelCase__		)


@pytest.fixture
def    lowerCamelCase       (			UpperCAmelCase__				:  Optional[Any]		)			->	Optional[int]:


							'''simple docstring'''






							SCREAMING_SNAKE_CASE__     :Tuple						    = tmp_path / 'malformed_file.csv'
							SCREAMING_SNAKE_CASE__     :List[Any]						    = textwrap.dedent(
							    '\\n        header1,header2\n        1,2\n        10,20,\n        '		)
							with open(UpperCAmelCase__				,						'w'		) as f:
														f.write(UpperCAmelCase__		)
							return str(UpperCAmelCase__		)


@pytest.fixture
def    lowerCamelCase       (			UpperCAmelCase__				:  Dict				,						UpperCAmelCase__				:  Any		)			->	List[Any]:


							'''simple docstring'''






							SCREAMING_SNAKE_CASE__     :List[str]						    = tmp_path / 'csv_with_image.csv'
							SCREAMING_SNAKE_CASE__     :str						    = textwrap.dedent(
							    F'''\
        image
        {image_file}
        '''		)
							with open(UpperCAmelCase__				,						'w'		) as f:
														f.write(UpperCAmelCase__		)
							return str(UpperCAmelCase__		)


@pytest.fixture
def    lowerCamelCase       (			UpperCAmelCase__				:  Optional[Any]		)			->	Optional[Any]:


							'''simple docstring'''






							SCREAMING_SNAKE_CASE__     :Optional[Any]						    = tmp_path / 'csv_with_label.csv'
							SCREAMING_SNAKE_CASE__     :List[str]						    = textwrap.dedent(
							    '\\n        label\n        good\n        bad\n        good\n        '		)
							with open(UpperCAmelCase__				,						'w'		) as f:
														f.write(UpperCAmelCase__		)
							return str(UpperCAmelCase__		)


@pytest.fixture
def    lowerCamelCase       (			UpperCAmelCase__				:  int		)			->	Dict:


							'''simple docstring'''






							SCREAMING_SNAKE_CASE__     :Dict						    = tmp_path / 'csv_with_int_list.csv'
							SCREAMING_SNAKE_CASE__     :str						    = textwrap.dedent(
							    '\\n        int_list\n        1 2 3\n        4 5 6\n        7 8 9\n        '		)
							with open(UpperCAmelCase__				,						'w'		) as f:
														f.write(UpperCAmelCase__		)
							return str(UpperCAmelCase__		)


def    lowerCamelCase       (			UpperCAmelCase__				:  Dict				,						UpperCAmelCase__				:  Tuple				,						UpperCAmelCase__				:  Dict		)			->	Optional[int]:


							'''simple docstring'''






							SCREAMING_SNAKE_CASE__     :int						    = Csv()
							SCREAMING_SNAKE_CASE__     :Tuple						    = csv._generate_tables([[csv_file, malformed_csv_file]]		)
							with pytest.raises(UpperCAmelCase__				,						match='Error tokenizing data'		):
														for _ in generator:
																					pass
							assert any(
							    record.levelname == 'ERROR'
							    and 'Failed to read file' in record.message
							    and os.path.basename(UpperCAmelCase__		) in record.message
							    for record in caplog.records		)


@require_pil
def    lowerCamelCase       (			UpperCAmelCase__				:  Union[str, Any]		)			->	Tuple:


							'''simple docstring'''






							with open(UpperCAmelCase__				,						encoding='utf-8'		) as f:
														SCREAMING_SNAKE_CASE__     :str						    = f.read().splitlines()[1]
							SCREAMING_SNAKE_CASE__     :Dict						    = Csv(encoding='utf-8'				,						features=Features({'image': Image()}		)		)
							SCREAMING_SNAKE_CASE__     :Tuple						    = csv._generate_tables([[csv_file_with_image]]		)
							SCREAMING_SNAKE_CASE__     :int						    = pa.concat_tables([table for _, table in generator]		)
							assert pa_table.schema.field('image'		).type == Image()()
							SCREAMING_SNAKE_CASE__     :Tuple						    = pa_table.to_pydict()['image']
							assert generated_content == [{"path": image_file, "bytes": None}]


def    lowerCamelCase       (			UpperCAmelCase__				:  Tuple		)			->	int:


							'''simple docstring'''






							with open(UpperCAmelCase__				,						encoding='utf-8'		) as f:
														SCREAMING_SNAKE_CASE__     :Any						    = f.read().splitlines()[1:]
							SCREAMING_SNAKE_CASE__     :List[str]						    = Csv(encoding='utf-8'				,						features=Features({'label': ClassLabel(names=['good', 'bad']		)}		)		)
							SCREAMING_SNAKE_CASE__     :List[Any]						    = csv._generate_tables([[csv_file_with_label]]		)
							SCREAMING_SNAKE_CASE__     :int						    = pa.concat_tables([table for _, table in generator]		)
							assert pa_table.schema.field('label'		).type == ClassLabel(names=['good', 'bad']		)()
							SCREAMING_SNAKE_CASE__     :Dict						    = pa_table.to_pydict()['label']
							assert generated_content == [ClassLabel(names=['good', 'bad']		).straint(UpperCAmelCase__		) for label in labels]





def    lowerCamelCase       (			UpperCAmelCase__				:  Optional[Any]		)			->	Union[str, Any]:


							'''simple docstring'''






							SCREAMING_SNAKE_CASE__     :int						    = Csv(encoding='utf-8'				,						sep=','				,						converters={'int_list': lambda UpperCAmelCase__		: [int(UpperCAmelCase__		) for i in x.split()]}		)
							SCREAMING_SNAKE_CASE__     :List[str]						    = csv._generate_tables([[csv_file_with_int_list]]		)
							SCREAMING_SNAKE_CASE__     :Union[str, Any]						    = pa.concat_tables([table for _, table in generator]		)
							assert pa.types.is_list(pa_table.schema.field('int_list'		).type		)
							SCREAMING_SNAKE_CASE__     :Optional[int]						    = pa_table.to_pydict()['int_list']
							assert generated_content == [[1, 2, 3], [4, 5, 6], [7, 8, 9]]







'''simple docstring'''







from __future__ import annotations

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


def    lowerCamelCase       (			UpperCAmelCase__				:  list[list[int]]				,						UpperCAmelCase__				:  list[int]				,						UpperCAmelCase__				:  list[int]				,						UpperCAmelCase__				:  int				,						UpperCAmelCase__				:  list[list[int]]				,						)			->	tuple[list[list[int]], list[list[int]]]:


							'''simple docstring'''






							SCREAMING_SNAKE_CASE__     :str						    = [
							    [0 for col in range(len(grid[0]		)		)] for row in range(len(UpperCAmelCase__		)		)
							]  # the reference grid
							SCREAMING_SNAKE_CASE__     :Any						    = 1
							SCREAMING_SNAKE_CASE__     :Dict						    = [
							    [0 for col in range(len(grid[0]		)		)] for row in range(len(UpperCAmelCase__		)		)
							]  # the action grid

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

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

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

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

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


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

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

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

		UpperCamelCase_	,			UpperCamelCase_      	=	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])






