



from typing import List, Optional, TypeVar

from .arrow_dataset import Dataset, _concatenate_map_style_datasets, _interleave_map_style_datasets
from .dataset_dict import DatasetDict, IterableDatasetDict
from .info import DatasetInfo
from .iterable_dataset import IterableDataset, _concatenate_iterable_datasets, _interleave_iterable_datasets
from .splits import NamedSplit
from .utils import logging
from .utils.py_utils import Literal


lowerCAmelCase__					  =  logging.get_logger(__name__)


lowerCAmelCase__					  =  TypeVar('''DatasetType''', Dataset, IterableDataset)


def  __lowerCamelCase (       lowerCamelCase__					,			lowerCamelCase__ = None					,			lowerCamelCase__ = None					,			lowerCamelCase__ = None					,			lowerCamelCase__ = None					,			lowerCamelCase__ = "first_exhausted"					,			):

				"""simple docstring"""


				from .arrow_dataset import Dataset
				from .iterable_dataset import IterableDataset

				if not datasets:
								raise ValueError("Unable to interleave an empty list of datasets."						)
				for i, dataset in enumerate(lowerCamelCase__						):
								if not isinstance(lowerCamelCase__					,			(Dataset, IterableDataset)						):
												if isinstance(lowerCamelCase__					,			(DatasetDict, IterableDatasetDict)						):
																if not dataset:
																				raise ValueError(
																				    F"""Expected a list of Dataset objects or a list of IterableDataset objects, but element at position {i} """
																				    "is an empty dataset dictionary."						)
																raise ValueError(
																    F"""Dataset at position {i} has at least one split: {list(lowerCamelCase__						)}\n"""
																    F"""Please pick one to interleave with the other datasets, for example: dataset['{next(iter(lowerCamelCase__						)						)}']"""						)
												raise ValueError(
												    F"""Expected a list of Dataset objects or a list of IterableDataset objects, but element at position {i} is a {type(lowerCamelCase__						).__name__}."""						)
								if i == 0:
												lowercase__							,							lowercase__					:   Any													=					(
												    (Dataset, IterableDataset) if isinstance(lowerCamelCase__					,			lowerCamelCase__						) else (IterableDataset, Dataset)
												)
								elif not isinstance(lowerCamelCase__					,			lowerCamelCase__						):
												raise ValueError(
												    F"""Unable to interleave a {dataset_type.__name__} (at position 0) with a {other_type.__name__} (at position {i}). Expected a list of Dataset objects or a list of IterableDataset objects."""						)
				if stopping_strategy not in ["first_exhausted", "all_exhausted"]:
								raise ValueError(F"""{stopping_strategy} is not supported. Please enter a valid stopping_strategy."""						)
				if dataset_type is Dataset:
								return _interleave_map_style_datasets(
								    lowerCamelCase__					,			lowerCamelCase__					,			lowerCamelCase__					,			info=lowerCamelCase__					,			split=lowerCamelCase__					,			stopping_strategy=lowerCamelCase__						)
				else:
								return _interleave_iterable_datasets(
								    lowerCamelCase__					,			lowerCamelCase__					,			lowerCamelCase__					,			info=lowerCamelCase__					,			split=lowerCamelCase__					,			stopping_strategy=lowerCamelCase__						)


def  __lowerCamelCase (       lowerCamelCase__					,			lowerCamelCase__ = None					,			lowerCamelCase__ = None					,			lowerCamelCase__ = 0					,			):

				"""simple docstring"""


				if not dsets:
								raise ValueError("Unable to concatenate an empty list of datasets."						)
				for i, dataset in enumerate(lowerCamelCase__						):
								if not isinstance(lowerCamelCase__					,			(Dataset, IterableDataset)						):
												if isinstance(lowerCamelCase__					,			(DatasetDict, IterableDatasetDict)						):
																if not dataset:
																				raise ValueError(
																				    F"""Expected a list of Dataset objects or a list of IterableDataset objects, but element at position {i} """
																				    "is an empty dataset dictionary."						)
																raise ValueError(
																    F"""Dataset at position {i} has at least one split: {list(lowerCamelCase__						)}\n"""
																    F"""Please pick one to interleave with the other datasets, for example: dataset['{next(iter(lowerCamelCase__						)						)}']"""						)
												raise ValueError(
												    F"""Expected a list of Dataset objects or a list of IterableDataset objects, but element at position {i} is a {type(lowerCamelCase__						).__name__}."""						)
								if i == 0:
												lowercase__							,							lowercase__					:   Optional[Any]													=					(
												    (Dataset, IterableDataset) if isinstance(lowerCamelCase__					,			lowerCamelCase__						) else (IterableDataset, Dataset)
												)
								elif not isinstance(lowerCamelCase__					,			lowerCamelCase__						):
												raise ValueError(
												    F"""Unable to interleave a {dataset_type.__name__} (at position 0) with a {other_type.__name__} (at position {i}). Expected a list of Dataset objects or a list of IterableDataset objects."""						)
				if dataset_type is Dataset:
								return _concatenate_map_style_datasets(lowerCamelCase__					,			info=lowerCamelCase__					,			split=lowerCamelCase__					,			axis=lowerCamelCase__						)
				else:
								return _concatenate_iterable_datasets(lowerCamelCase__					,			info=lowerCamelCase__					,			split=lowerCamelCase__					,			axis=lowerCamelCase__						)









from __future__ import annotations

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


def  __lowerCamelCase (       lowerCamelCase__					,			lowerCamelCase__					,			lowerCamelCase__					,			lowerCamelCase__					,			lowerCamelCase__					,			):

				"""simple docstring"""


				lowercase__					:   Optional[int]													=					[
				    [0 for col in range(len(grid[0]						)						)] for row in range(len(lowerCamelCase__						)						)
				]  # the reference grid
				lowercase__					:   List[Any]													=					1
				lowercase__					:   Tuple													=					[
				    [0 for col in range(len(grid[0]						)						)] for row in range(len(lowerCamelCase__						)						)
				]  # the action grid

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

				lowercase__					:   Union[str, Any]													=					False  # flag that is set when search is complete
				lowercase__					:   Any													=					False  # flag set if we can't find expand

				while not found and not resign:
								if len(lowerCamelCase__						) == 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()
												lowercase__					:   Tuple													=					cell.pop()
												lowercase__					:   Optional[Any]													=					next_cell[2]
												lowercase__					:   int													=					next_cell[3]
												lowercase__					:   Union[str, Any]													=					next_cell[1]

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

				lowercase__					:   List[str]													=					[]
				for i in range(len(lowerCamelCase__						)						):
								path.append(invpath[len(lowerCamelCase__						) - 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__					  =  9_9

				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])




