
'''simple docstring'''



from __future__ import annotations

import time
from math import sqrt

# 1 for manhattan, 0 for euclidean
_lowercase          =						0

_lowercase          =						[
    [0, 0, 0, 0, 0, 0, 0],
    [0, 1, 0, 0, 0, 0, 0],  # 0 are free path whereas 1's are obstacles
    [0, 0, 0, 0, 0, 0, 0],
    [0, 0, 1, 0, 0, 0, 0],
    [1, 0, 1, 0, 0, 0, 0],
    [0, 0, 0, 0, 0, 0, 0],
    [0, 0, 0, 0, 1, 0, 0],
]

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

_lowercase          =						tuple[int, int]




class     UpperCAmelCase_	:






						'''simple docstring'''






						def __init__(   self       ,  _lowercase       ,  _lowercase       ,  _lowercase       ,  _lowercase       ,  _lowercase       ,  _lowercase       ,  ):

												"""simple docstring"""



												_lowerCAmelCase    		=					pos_x
												_lowerCAmelCase    		=					pos_y
												_lowerCAmelCase    		=					(pos_y, pos_x)
												_lowerCAmelCase    		=					goal_x
												_lowerCAmelCase    		=					goal_y
												_lowerCAmelCase    		=					g_cost
												_lowerCAmelCase    		=					parent
												_lowerCAmelCase    		=					self.calculate_heuristic()
												_lowerCAmelCase    		=					self.g_cost + self.h_cost




						def    _lowercase      (   self ):

												"""simple docstring"""



												_lowerCAmelCase    		=					self.pos_x - self.goal_x
												_lowerCAmelCase    		=					self.pos_y - self.goal_y
												if HEURISTIC == 1:
																		return abs(_lowercase ) + abs(_lowercase )
												else:
																		return sqrt(dy**2 + dx**2 )




						def __lt__(   self       ,  _lowercase ):

												"""simple docstring"""



												return self.f_cost < other.f_cost






class     UpperCAmelCase_	:






						'''simple docstring'''






						def __init__(   self       ,  _lowercase       ,  _lowercase ):

												"""simple docstring"""



												_lowerCAmelCase    		=					Node(start[1]       ,  start[0]       ,  goal[1]       ,  goal[0]       ,  0       ,  _lowercase )
												_lowerCAmelCase    		=					Node(goal[1]       ,  goal[0]       ,  goal[1]       ,  goal[0]       ,  99_999       ,  _lowercase )

												_lowerCAmelCase    		=					[self.start]
												_lowerCAmelCase    		=					[]

												_lowerCAmelCase    		=					False




						def    _lowercase      (   self ):

												"""simple docstring"""



												while self.open_nodes:
																		# Open Nodes are sorted using __lt__
																		self.open_nodes.sort()
																		_lowerCAmelCase    		=					self.open_nodes.pop(0 )

																		if current_node.pos == self.target.pos:
																								return self.retrace_path(_lowercase )

																		self.closed_nodes.append(_lowercase )
																		_lowerCAmelCase    		=					self.get_successors(_lowercase )

																		for child_node in successors:
																								if child_node in self.closed_nodes:
																														continue

																								if child_node not in self.open_nodes:
																														self.open_nodes.append(_lowercase )
																								else:
																														# retrieve the best current path
																														_lowerCAmelCase    		=					self.open_nodes.pop(self.open_nodes.index(_lowercase ) )

																														if child_node.g_cost < better_node.g_cost:
																																				self.open_nodes.append(_lowercase )
																														else:
																																				self.open_nodes.append(_lowercase )

												return [self.start.pos]




						def    _lowercase      (   self       ,  _lowercase ):

												"""simple docstring"""



												_lowerCAmelCase    		=					[]
												for action in delta:
																		_lowerCAmelCase    		=					parent.pos_x + action[1]
																		_lowerCAmelCase    		=					parent.pos_y + action[0]
																		if not (0 <= pos_x <= len(grid[0] ) - 1 and 0 <= pos_y <= len(_lowercase ) - 1):
																								continue

																		if grid[pos_y][pos_x] != 0:
																								continue

																		successors.append(
																		    Node(
																		        _lowercase       ,  _lowercase       ,  self.target.pos_y       ,  self.target.pos_x       ,  parent.g_cost + 1       ,  _lowercase       ,  ) )
												return successors




						def    _lowercase      (   self       ,  _lowercase ):

												"""simple docstring"""



												_lowerCAmelCase    		=					node
												_lowerCAmelCase    		=					[]
												while current_node is not None:
																		path.append((current_node.pos_y, current_node.pos_x) )
																		_lowerCAmelCase    		=					current_node.parent
												path.reverse()
												return path






class     UpperCAmelCase_	:






						'''simple docstring'''






						def __init__(   self       ,  _lowercase       ,  _lowercase ):

												"""simple docstring"""



												_lowerCAmelCase    		=					AStar(_lowercase       ,  _lowercase )
												_lowerCAmelCase    		=					AStar(_lowercase       ,  _lowercase )
												_lowerCAmelCase    		=					False




						def    _lowercase      (   self ):

												"""simple docstring"""



												while self.fwd_astar.open_nodes or self.bwd_astar.open_nodes:
																		self.fwd_astar.open_nodes.sort()
																		self.bwd_astar.open_nodes.sort()
																		_lowerCAmelCase    		=					self.fwd_astar.open_nodes.pop(0 )
																		_lowerCAmelCase    		=					self.bwd_astar.open_nodes.pop(0 )

																		if current_bwd_node.pos == current_fwd_node.pos:
																								return self.retrace_bidirectional_path(
																								    _lowercase       ,  _lowercase )

																		self.fwd_astar.closed_nodes.append(_lowercase )
																		self.bwd_astar.closed_nodes.append(_lowercase )

																		_lowerCAmelCase    		=					current_bwd_node
																		_lowerCAmelCase    		=					current_fwd_node

																		_lowerCAmelCase    		=					{
																		    self.fwd_astar: self.fwd_astar.get_successors(_lowercase ),
																		    self.bwd_astar: self.bwd_astar.get_successors(_lowercase ),
																		}

																		for astar in [self.fwd_astar, self.bwd_astar]:
																								for child_node in successors[astar]:
																														if child_node in astar.closed_nodes:
																																				continue

																														if child_node not in astar.open_nodes:
																																				astar.open_nodes.append(_lowercase )
																														else:
																																				# retrieve the best current path
																																				_lowerCAmelCase    		=					astar.open_nodes.pop(
																																				    astar.open_nodes.index(_lowercase ) )

																																				if child_node.g_cost < better_node.g_cost:
																																										astar.open_nodes.append(_lowercase )
																																				else:
																																										astar.open_nodes.append(_lowercase )

												return [self.fwd_astar.start.pos]




						def    _lowercase      (   self       ,  _lowercase       ,  _lowercase ):

												"""simple docstring"""



												_lowerCAmelCase    		=					self.fwd_astar.retrace_path(_lowercase )
												_lowerCAmelCase    		=					self.bwd_astar.retrace_path(_lowercase )
												bwd_path.pop()
												bwd_path.reverse()
												_lowerCAmelCase    		=					fwd_path + bwd_path
												return path


if __name__ == "__main__":
						# all coordinates are given in format [y,x]
						_lowercase          =						(0, 0)
						_lowercase          =						(len(grid) - 1, len(grid[0]) - 1)
						for elem in grid:
												print(elem)

						_lowercase          =						time.time()
						_lowercase          =						AStar(init, goal)
						_lowercase          =						a_star.search()
						_lowercase          =						time.time() - start_time
						print(F"""AStar execution time = {end_time:f} seconds""")

						_lowercase          =						time.time()
						_lowercase          =						BidirectionalAStar(init, goal)
						_lowercase          =						time.time() - bd_start_time
						print(F"""BidirectionalAStar execution time = {bd_end_time:f} seconds""")







import pytest


_UpperCAmelCase							:			Optional[int]        =							"""__dummy_dataset1__"""

_UpperCAmelCase							:			Dict        =							"""
import json
import os

import datasets


REPO_URL = \"https://huggingface.co/datasets/albertvillanova/tests-raw-jsonl/resolve/main/\"
URLS = {\"train\": REPO_URL + \"wikiann-bn-train.jsonl\", \"validation\": REPO_URL + \"wikiann-bn-validation.jsonl\"}


class __DummyDataset1__(datasets.GeneratorBasedBuilder):

    def _info(self):
        features = datasets.Features(
            {
                \"tokens\": datasets.Sequence(datasets.Value(\"string\")),
                \"ner_tags\": datasets.Sequence(
                    datasets.features.ClassLabel(
                        names=[
                            \"O\",
                            \"B-PER\",
                            \"I-PER\",
                            \"B-ORG\",
                            \"I-ORG\",
                            \"B-LOC\",
                            \"I-LOC\",
                        ]
                    )
                ),
                \"langs\": datasets.Sequence(datasets.Value(\"string\")),
                \"spans\": datasets.Sequence(datasets.Value(\"string\")),
            }
        )
        return datasets.DatasetInfo(features=features)

    def _split_generators(self, dl_manager):
        dl_path = dl_manager.download(URLS)
        return [
            datasets.SplitGenerator(datasets.Split.TRAIN, gen_kwargs={\"filepath\": dl_path[\"train\"]}),
            datasets.SplitGenerator(datasets.Split.VALIDATION, gen_kwargs={\"filepath\": dl_path[\"validation\"]}),
        ]

    def _generate_examples(self, filepath):
        with open(filepath, \"r\", encoding=\"utf-8\") as f:
            for i, line in enumerate(f):
                yield i, json.loads(line)
"""


@pytest.fixture
def 			SCREAMING_SNAKE_CASE (			)     ->	Dict:
    return DATASET_LOADING_SCRIPT_NAME


@pytest.fixture
def 			SCREAMING_SNAKE_CASE (			)     ->	List[Any]:
    return DATASET_LOADING_SCRIPT_CODE


@pytest.fixture
def 			SCREAMING_SNAKE_CASE (			_UpperCAmelCase		,      _UpperCAmelCase		,      _UpperCAmelCase					)     ->	List[Any]:
    lowerCamelCase__       : int   					=						dataset_loading_script_name
    lowerCamelCase__       : Any   					=						tmp_path / 'datasets' / script_name
    script_dir.mkdir(parents=_UpperCAmelCase					)
    lowerCamelCase__       : str   					=						script_dir / F"""{script_name}.py"""
    with open(_UpperCAmelCase		,      'w'					) as f:
        f.write(_UpperCAmelCase					)
    return str(_UpperCAmelCase					)





