



from __future__ import annotations

import time
from math import sqrt

# 1 for manhattan, 0 for euclidean
UpperCAmelCase_							:      str      =  0

UpperCAmelCase_							:      Tuple      =  [
    [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],
]

UpperCAmelCase_							:      List[Any]      =  [[-1, 0], [0, -1], [1, 0], [0, 1]]  # up, left, down, right

UpperCAmelCase_							:      Tuple      =  tuple[int, int]
class      UpperCamelCase    :



	def __init__(       self			,	UpperCAmelCase__			,	UpperCAmelCase__			,	UpperCAmelCase__			,	UpperCAmelCase__			,	UpperCAmelCase__			,	UpperCAmelCase__			,	):
							A__							=       pos_x
							A__							=       pos_y
							A__							=       (pos_y, pos_x)
							A__							=       goal_x
							A__							=       goal_y
							A__							=       g_cost
							A__							=       parent
							A__							=       self.calculate_heuristic()
							A__							=       self.g_cost + self.h_cost



	def 			__A							(       self		):
							A__							=       self.pos_x - self.goal_x
							A__							=       self.pos_y - self.goal_y
							if HEURISTIC == 1:
													return abs(UpperCAmelCase__		) + abs(UpperCAmelCase__		)
							else:
													return sqrt(dy**2 + dx**2		)



	def __lt__(       self			,	UpperCAmelCase__		):
							return self.f_cost < other.f_cost





class      UpperCamelCase    :



	def __init__(       self			,	UpperCAmelCase__			,	UpperCAmelCase__		):
							A__							=       Node(start[1]			,	start[0]			,	goal[1]			,	goal[0]			,	0			,	UpperCAmelCase__		)
							A__							=       Node(goal[1]			,	goal[0]			,	goal[1]			,	goal[0]			,	99_999			,	UpperCAmelCase__		)

							A__							=       [self.start]
							A__							=       []

							A__							=       False



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

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

													self.closed_nodes.append(UpperCAmelCase__		)
													A__							=       self.get_successors(UpperCAmelCase__		)

													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(UpperCAmelCase__		)
																			else:
																									# retrieve the best current path
																									A__							=       self.open_nodes.pop(self.open_nodes.index(UpperCAmelCase__		)		)

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

							return [self.start.pos]



	def 			__A							(       self			,	UpperCAmelCase__		):
							A__							=       []
							for action in delta:
													A__							=       parent.pos_x + action[1]
													A__							=       parent.pos_y + action[0]
													if not (0 <= pos_x <= len(grid[0]		) - 1 and 0 <= pos_y <= len(UpperCAmelCase__		) - 1):
																			continue

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

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



	def 			__A							(       self			,	UpperCAmelCase__		):
							A__							=       node
							A__							=       []
							while current_node is not None:
													path.append((current_node.pos_y, current_node.pos_x)		)
													A__							=       current_node.parent
							path.reverse()
							return path





class      UpperCamelCase    :



	def __init__(       self			,	UpperCAmelCase__			,	UpperCAmelCase__		):
							A__							=       AStar(UpperCAmelCase__			,	UpperCAmelCase__		)
							A__							=       AStar(UpperCAmelCase__			,	UpperCAmelCase__		)
							A__							=       False



	def 			__A							(       self		):
							while self.fwd_astar.open_nodes or self.bwd_astar.open_nodes:
													self.fwd_astar.open_nodes.sort()
													self.bwd_astar.open_nodes.sort()
													A__							=       self.fwd_astar.open_nodes.pop(0		)
													A__							=       self.bwd_astar.open_nodes.pop(0		)

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

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

													A__							=       current_bwd_node
													A__							=       current_fwd_node

													A__							=       {
													    self.fwd_astar: self.fwd_astar.get_successors(UpperCAmelCase__		),
													    self.bwd_astar: self.bwd_astar.get_successors(UpperCAmelCase__		),
													}

													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(UpperCAmelCase__		)
																									else:
																															# retrieve the best current path
																															A__							=       astar.open_nodes.pop(
																															    astar.open_nodes.index(UpperCAmelCase__		)		)

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

							return [self.fwd_astar.start.pos]



	def 			__A							(       self			,	UpperCAmelCase__			,	UpperCAmelCase__		):
							A__							=       self.fwd_astar.retrace_path(UpperCAmelCase__		)
							A__							=       self.bwd_astar.retrace_path(UpperCAmelCase__		)
							bwd_path.pop()
							bwd_path.reverse()
							A__							=       fwd_path + bwd_path
							return path


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

						UpperCAmelCase_							:      Optional[Any]      =  time.time()
						UpperCAmelCase_							:      Tuple      =  AStar(init, goal)
						UpperCAmelCase_							:      str      =  a_star.search()
						UpperCAmelCase_							:      str      =  time.time() - start_time
						print(F'''AStar execution time = {end_time:f} seconds''')

						UpperCAmelCase_							:      Any      =  time.time()
						UpperCAmelCase_							:      Any      =  BidirectionalAStar(init, goal)
						UpperCAmelCase_							:      Optional[int]      =  time.time() - bd_start_time
						print(F'''BidirectionalAStar execution time = {bd_end_time:f} seconds''')










import os
import zipfile

import requests
from get_ci_error_statistics import download_artifact, get_artifacts_links
def  UpperCamelCase						(       _A			:				List[Any]			,							_A			:				List[str]=7    )->       Optional[Any]:





						"""simple docstring"""





						A__							=       None
						if token is not None:
												A__							=       {"Accept": "application/vnd.github+json", "Authorization": f"""Bearer {token}"""}

						# The id of a workflow (not of a workflow run)
						A__							=       "636036"

						A__							=       f"""https://api.github.com/repos/huggingface/transformers/actions/workflows/{workflow_id}/runs"""
						# On `main` branch + event being `schedule` + not returning PRs + only `num_runs` results
						url += f"""?branch=main&event=schedule&exclude_pull_requests=true&per_page={num_runs}"""

						A__							=       requests.get(_A			,							headers=_A    ).json()

						return result["workflow_runs"]
def  UpperCamelCase						(       _A			:				str    )->       Dict:





						"""simple docstring"""





						A__							=       get_daily_ci_runs(_A    )
						A__							=       None
						for workflow_run in workflow_runs:
												if workflow_run["status"] == "completed":
																		A__							=       workflow_run["id"]
																		break

						return workflow_run_id
def  UpperCamelCase						(       _A			:				int			,							_A			:				List[str]			,							_A			:				str    )->       Any:





						"""simple docstring"""





						A__							=       get_last_daily_ci_runs(_A    )
						if workflow_run_id is not None:
												A__							=       get_artifacts_links(worflow_run_id=_A			,							token=_A    )
												for artifact_name in artifact_names:
																		if artifact_name in artifacts_links:
																								A__							=       artifacts_links[artifact_name]
																								download_artifact(
																								    artifact_name=_A			,							artifact_url=_A			,							output_dir=_A			,							token=_A    )
def  UpperCamelCase						(       _A			:				Optional[Any]			,							_A			:				Any			,							_A			:				List[Any]    )->       Optional[int]:





						"""simple docstring"""





						get_last_daily_ci_artifacts(_A			,							_A			,							_A    )

						A__							=       {}
						for artifact_name in artifact_names:
												A__							=       os.path.join(_A			,							f"""{artifact_name}.zip"""    )
												if os.path.isfile(_A    ):
																		A__							=       {}
																		with zipfile.ZipFile(_A    ) as z:
																								for filename in z.namelist():
																														if not os.path.isdir(_A    ):
																																				# read the file
																																				with z.open(_A    ) as f:
																																										A__							=       f.read().decode("UTF-8"    )

						return results





