






import pytest


__lowerCamelCase      :    Tuple   		=   """__dummy_dataset1__"""

__lowerCamelCase      :    List[Any]   		=   """
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       (				):
	return DATASET_LOADING_SCRIPT_NAME







@pytest.fixture
def   SCREAMING_SNAKE_CASE       (				):
	return DATASET_LOADING_SCRIPT_CODE







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











from __future__ import annotations

import time

__lowerCamelCase      :    str   		=   list[tuple[int, int]]

__lowerCamelCase      :    Optional[int]   		=   [
    [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],
]

__lowerCamelCase      :    Tuple   		=   [[-1, 0], [0, -1], [1, 0], [0, 1]]  # up, left, down, right



class 							SCREAMING_SNAKE_CASE__		:





					"""simple docstring"""






					def __init__(      self  :						Union[str, Any]							,	__A  :						int							,	__A  :						int							,	__A  :						int							,	__A  :						int							,	__A  :						Node | None ):
						snake_case__				:   Optional[int]     =						pos_x
						snake_case__				:   Dict     =						pos_y
						snake_case__				:   int     =						(pos_y, pos_x)
						snake_case__				:   Optional[int]     =						goal_x
						snake_case__				:   Tuple     =						goal_y
						snake_case__				:   str     =						parent



class 							SCREAMING_SNAKE_CASE__		:





					"""simple docstring"""






					def __init__(      self  :						List[Any]							,	__A  :						tuple[int, int]							,	__A  :						tuple[int, int] ):
						snake_case__				:   Tuple     =						Node(start[1]							,	start[0]							,	goal[1]							,	goal[0]							,	__A )
						snake_case__				:   Tuple     =						Node(goal[1]							,	goal[0]							,	goal[1]							,	goal[0]							,	__A )

						snake_case__				:   int     =						[self.start]
						snake_case__				:   Union[str, Any]     =						False



					def  _lowercase  (      self  :						Dict ):
						while self.node_queue:
							snake_case__				:   Optional[Any]     =						self.node_queue.pop(0 )

							if current_node.pos == self.target.pos:
								snake_case__				:   Optional[Any]     =						True
								return self.retrace_path(__A )

							snake_case__				:   int     =						self.get_successors(__A )

							for node in successors:
								self.node_queue.append(__A )

						if not self.reached:
							return [self.start.pos]
						return None



					def  _lowercase  (      self  :						Union[str, Any]							,	__A  :						Node ):
						snake_case__				:   str     =						[]
						for action in delta:
							snake_case__				:   str     =						parent.pos_x + action[1]
							snake_case__				:   Union[str, Any]     =						parent.pos_y + action[0]
							if not (0 <= pos_x <= len(grid[0] ) - 1 and 0 <= pos_y <= len(__A ) - 1):
								continue

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

							successors.append(
							    Node(__A							,	__A							,	self.target.pos_y							,	self.target.pos_x							,	__A ) )
						return successors






					def  _lowercase  (      self  :						Optional[Any]							,	__A  :						Node | None ):
						snake_case__				:   Tuple     =						node
						snake_case__				:   Any     =						[]
						while current_node is not None:
							path.append((current_node.pos_y, current_node.pos_x) )
							snake_case__				:   Tuple     =						current_node.parent
						path.reverse()
						return path



class 							SCREAMING_SNAKE_CASE__		:





					"""simple docstring"""






					def __init__(      self  :						Dict							,	__A  :						str							,	__A  :						int ):
						snake_case__				:   str     =						BreadthFirstSearch(__A							,	__A )
						snake_case__				:   int     =						BreadthFirstSearch(__A							,	__A )
						snake_case__				:   Tuple     =						False



					def  _lowercase  (      self  :						Optional[Any] ):
						while self.fwd_bfs.node_queue or self.bwd_bfs.node_queue:
							snake_case__				:   Any     =						self.fwd_bfs.node_queue.pop(0 )
							snake_case__				:   List[str]     =						self.bwd_bfs.node_queue.pop(0 )

							if current_bwd_node.pos == current_fwd_node.pos:
								snake_case__				:   List[str]     =						True
								return self.retrace_bidirectional_path(
								    __A							,	__A )

							snake_case__				:   Union[str, Any]     =						current_bwd_node
							snake_case__				:   Dict     =						current_fwd_node

							snake_case__				:   List[Any]     =						{
							    self.fwd_bfs: self.fwd_bfs.get_successors(__A ),
							    self.bwd_bfs: self.bwd_bfs.get_successors(__A ),
							}

							for bfs in [self.fwd_bfs, self.bwd_bfs]:
								for node in successors[bfs]:
									bfs.node_queue.append(__A )

						if not self.reached:
							return [self.fwd_bfs.start.pos]
						return None






					def  _lowercase  (      self  :						Any							,	__A  :						Node							,	__A  :						Node ):
						snake_case__				:   List[str]     =						self.fwd_bfs.retrace_path(__A )
						snake_case__				:   Optional[Any]     =						self.bwd_bfs.retrace_path(__A )
						bwd_path.pop()
						bwd_path.reverse()
						snake_case__				:   List[Any]     =						fwd_path + bwd_path
						return path


if __name__ == "__main__":
	# all coordinates are given in format [y,x]
	import doctest

	doctest.testmod()
	__lowerCamelCase      :    str   		=   (0, 0)
	__lowerCamelCase      :    List[str]   		=   (len(grid) - 1, len(grid[0]) - 1)
	for elem in grid:
		print(elem)

	__lowerCamelCase      :    Any   		=   time.time()
	__lowerCamelCase      :    Optional[Any]   		=   BreadthFirstSearch(init, goal)
	__lowerCamelCase      :    str   		=   bfs.search()
	__lowerCamelCase      :    Optional[Any]   		=   time.time() - start_bfs_time

	print("""Unidirectional BFS computation time : """, bfs_time)

	__lowerCamelCase      :    Optional[Any]   		=   time.time()
	__lowerCamelCase      :    Optional[int]   		=   BidirectionalBreadthFirstSearch(init, goal)
	__lowerCamelCase      :    str   		=   bd_bfs.search()
	__lowerCamelCase      :    Optional[Any]   		=   time.time() - start_bd_bfs_time

	print("""Bidirectional BFS computation time : """, bd_bfs_time)



