





"""simple docstring"""
from __future__ import annotations

lowerCamelCase_       =		list[tuple[int, int]]

lowerCamelCase_       =		[
    [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_       =		([-1, 0], [0, -1], [1, 0], [0, 1])  # up, left, down, right






class  _SCREAMING_SNAKE_CASE:




							def __init__(						self		,SCREAMING_SNAKE_CASE__		,SCREAMING_SNAKE_CASE__		,SCREAMING_SNAKE_CASE__		,SCREAMING_SNAKE_CASE__		,SCREAMING_SNAKE_CASE__		,SCREAMING_SNAKE_CASE__		,)      ->				Any:





													"""simple docstring"""






													__SCREAMING_SNAKE_CASE       :Optional[int]		    =  pos_x
													__SCREAMING_SNAKE_CASE       :str		    =  pos_y
													__SCREAMING_SNAKE_CASE       :List[Any]		    =  (pos_y, pos_x)
													__SCREAMING_SNAKE_CASE       :Optional[int]		    =  goal_x
													__SCREAMING_SNAKE_CASE       :Dict		    =  goal_y
													__SCREAMING_SNAKE_CASE       :Dict		    =  g_cost
													__SCREAMING_SNAKE_CASE       :List[str]		    =  parent
													__SCREAMING_SNAKE_CASE       :List[Any]		    =  self.calculate_heuristic()




							def    _UpperCamelCase					(						self							)      ->				float:





													"""simple docstring"""






													__SCREAMING_SNAKE_CASE       :List[Any]		    =  abs(self.pos_x - self.goal_x							)
													__SCREAMING_SNAKE_CASE       :Any		    =  abs(self.pos_y - self.goal_y							)
													return dx + dy




							def __lt__(						self		,SCREAMING_SNAKE_CASE__							)      ->				bool:





													"""simple docstring"""






													return self.f_cost < other.f_cost






class  _SCREAMING_SNAKE_CASE:




							def __init__(						self		,SCREAMING_SNAKE_CASE__		,SCREAMING_SNAKE_CASE__							)      ->				int:





													"""simple docstring"""






													__SCREAMING_SNAKE_CASE       :List[str]		    =  Node(start[1]		,start[0]		,goal[1]		,goal[0]		,0		,SCREAMING_SNAKE_CASE__							)
													__SCREAMING_SNAKE_CASE       :Tuple		    =  Node(goal[1]		,goal[0]		,goal[1]		,goal[0]		,9_99_99		,SCREAMING_SNAKE_CASE__							)

													__SCREAMING_SNAKE_CASE       :str		    =  [self.start]
													__SCREAMING_SNAKE_CASE       :list[Node]		    =  []

													__SCREAMING_SNAKE_CASE       :Any		    =  False




							def    _UpperCamelCase					(						self							)      ->				Path | None:





													"""simple docstring"""






													while self.open_nodes:
																			# Open Nodes are sorted using __lt__
																			self.open_nodes.sort()
																			__SCREAMING_SNAKE_CASE       :List[Any]		    =  self.open_nodes.pop(0							)

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

																			self.closed_nodes.append(SCREAMING_SNAKE_CASE__							)
																			__SCREAMING_SNAKE_CASE       :int		    =  self.get_successors(SCREAMING_SNAKE_CASE__							)

																			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(SCREAMING_SNAKE_CASE__							)
																									else:
																															# retrieve the best current path
																															__SCREAMING_SNAKE_CASE       :Union[str, Any]		    =  self.open_nodes.pop(self.open_nodes.index(SCREAMING_SNAKE_CASE__							)							)

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

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




							def    _UpperCamelCase					(						self		,SCREAMING_SNAKE_CASE__							)      ->				list[Node]:





													"""simple docstring"""






													__SCREAMING_SNAKE_CASE       :List[str]		    =  []
													for action in delta:
																			__SCREAMING_SNAKE_CASE       :Dict		    =  parent.pos_x + action[1]
																			__SCREAMING_SNAKE_CASE       :Optional[Any]		    =  parent.pos_y + action[0]

																			if not (0 <= pos_x <= len(grid[0]							) - 1 and 0 <= pos_y <= len(SCREAMING_SNAKE_CASE__							) - 1):
																									continue

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

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




							def    _UpperCamelCase					(						self		,SCREAMING_SNAKE_CASE__							)      ->				Path:





													"""simple docstring"""






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


if __name__ == "__main__":
		lowerCamelCase_       =		(0, 0)
		lowerCamelCase_       =		(len(grid) - 1, len(grid[0]) - 1)
		for elem in grid:
				print(elem)

		print("------")

		lowerCamelCase_       =		GreedyBestFirst(init, goal)
		lowerCamelCase_       =		greedy_bf.search()
		if path:
				for pos_x, pos_y in path:
						lowerCamelCase_       =		2

				for elem in grid:
						print(elem)






"""simple docstring"""
import baseaa
import io
import json
import os
from copy import deepcopy

from ..optimizer import AcceleratedOptimizer
from ..scheduler import AcceleratedScheduler






class  _SCREAMING_SNAKE_CASE:




       def __init__(						self		,SCREAMING_SNAKE_CASE__							)      ->				int:





             """simple docstring"""






             if isinstance(SCREAMING_SNAKE_CASE__		,SCREAMING_SNAKE_CASE__							):
                   # Don't modify user's data should they want to reuse it (e.g. in tests), because once we
                   # modified it, it will not be accepted here again, since `auto` values would have been overridden
                   __SCREAMING_SNAKE_CASE       :Optional[int]		    =  deepcopy(SCREAMING_SNAKE_CASE__							)
             elif os.path.exists(SCREAMING_SNAKE_CASE__							):
                   with io.open(SCREAMING_SNAKE_CASE__		,'''r'''		,encoding='''utf-8'''							) as f:
                         __SCREAMING_SNAKE_CASE       :Dict		    =  json.load(SCREAMING_SNAKE_CASE__							)
             else:
                   try:
                         __SCREAMING_SNAKE_CASE       :str		    =  baseaa.urlsafe_baadecode(SCREAMING_SNAKE_CASE__							).decode('''utf-8'''							)
                         __SCREAMING_SNAKE_CASE       :Union[str, Any]		    =  json.loads(SCREAMING_SNAKE_CASE__							)
                   except (UnicodeDecodeError, AttributeError, ValueError):
                         raise ValueError(
                             f'''Expected a string path to an existing deepspeed config, or a dictionary, or a base64 encoded string. Received: {config_file_or_dict}'''							)

             __SCREAMING_SNAKE_CASE       :Optional[int]		    =  config

             self.set_stage_and_offload()




       def    _UpperCamelCase					(						self							)      ->				Any:





             """simple docstring"""






             __SCREAMING_SNAKE_CASE       :Union[str, Any]		    =  self.get_value('''zero_optimization.stage'''		,-1							)

             # offload
             __SCREAMING_SNAKE_CASE       :Any		    =  False
             if self.is_zeroa() or self.is_zeroa():
                   __SCREAMING_SNAKE_CASE       :Optional[Any]		    =  set(['''cpu''', '''nvme''']							)
                   __SCREAMING_SNAKE_CASE       :Optional[Any]		    =  set(
                       [
                           self.get_value('''zero_optimization.offload_optimizer.device'''							),
                           self.get_value('''zero_optimization.offload_param.device'''							),
                       ]							)
                   if len(offload_devices & offload_devices_valid							) > 0:
                         __SCREAMING_SNAKE_CASE       :int		    =  True




       def    _UpperCamelCase					(						self		,SCREAMING_SNAKE_CASE__							)      ->				Tuple:





             """simple docstring"""






             __SCREAMING_SNAKE_CASE       :Any		    =  self.config

             # find the config node of interest if it exists
             __SCREAMING_SNAKE_CASE       :Union[str, Any]		    =  ds_key_long.split('''.'''							)
             __SCREAMING_SNAKE_CASE       :List[str]		    =  nodes.pop()
             for node in nodes:
                   __SCREAMING_SNAKE_CASE       :Dict		    =  config.get(SCREAMING_SNAKE_CASE__							)
                   if config is None:
                         return None, ds_key

             return config, ds_key




       def    _UpperCamelCase					(						self		,SCREAMING_SNAKE_CASE__		,SCREAMING_SNAKE_CASE__=None							)      ->				Tuple:





             """simple docstring"""






             __SCREAMING_SNAKE_CASE    ,__SCREAMING_SNAKE_CASE       :Optional[Any]		    =  self.find_config_node(SCREAMING_SNAKE_CASE__							)
             if config is None:
                   return default
             return config.get(SCREAMING_SNAKE_CASE__		,SCREAMING_SNAKE_CASE__							)




       def    _UpperCamelCase					(						self		,SCREAMING_SNAKE_CASE__		,SCREAMING_SNAKE_CASE__=False							)      ->				int:





             """simple docstring"""






             __SCREAMING_SNAKE_CASE       :Dict		    =  self.config

             # find the config node of interest if it exists
             __SCREAMING_SNAKE_CASE       :str		    =  ds_key_long.split('''.'''							)
             for node in nodes:
                   __SCREAMING_SNAKE_CASE       :Any		    =  config
                   __SCREAMING_SNAKE_CASE       :int		    =  config.get(SCREAMING_SNAKE_CASE__							)
                   if config is None:
                         if must_exist:
                               raise ValueError(f'''Can\'t find {ds_key_long} entry in the config: {self.config}'''							)
                         else:
                               return

        # if found remove it
             if parent_config is not None:
                   parent_config.pop(SCREAMING_SNAKE_CASE__							)




       def    _UpperCamelCase					(						self		,SCREAMING_SNAKE_CASE__							)      ->				Optional[int]:





             """simple docstring"""






             __SCREAMING_SNAKE_CASE       :int		    =  self.get_value(SCREAMING_SNAKE_CASE__							)
             return False if value is None else bool(SCREAMING_SNAKE_CASE__							)




       def    _UpperCamelCase					(						self		,SCREAMING_SNAKE_CASE__							)      ->				Optional[Any]:





             """simple docstring"""






             __SCREAMING_SNAKE_CASE       :str		    =  self.get_value(SCREAMING_SNAKE_CASE__							)
             return False if value is None else not bool(SCREAMING_SNAKE_CASE__							)




       def    _UpperCamelCase					(						self							)      ->				List[str]:





             """simple docstring"""






             return self._stage == 2




       def    _UpperCamelCase					(						self							)      ->				List[Any]:





             """simple docstring"""






             return self._stage == 3




       def    _UpperCamelCase					(						self							)      ->				Union[str, Any]:





             """simple docstring"""






             return self._offload






class  _SCREAMING_SNAKE_CASE:




       def __init__(						self		,SCREAMING_SNAKE_CASE__							)      ->				Optional[Any]:





             """simple docstring"""






             __SCREAMING_SNAKE_CASE       :Optional[int]		    =  engine




       def    _UpperCamelCase					(						self		,SCREAMING_SNAKE_CASE__		,**SCREAMING_SNAKE_CASE__							)      ->				List[Any]:





             """simple docstring"""






             self.engine.backward(SCREAMING_SNAKE_CASE__		,**SCREAMING_SNAKE_CASE__							)

             # Deepspeed's `engine.step` performs the following operations:
             # - gradient accumulation check
             # - gradient clipping
             # - optimizer step
             # - zero grad
             # - checking overflow
             # - lr_scheduler step (only if engine.lr_scheduler is not None)
             self.engine.step()
             # and this plugin overrides the above calls with no-ops when Accelerate runs under
             # Deepspeed, but allows normal functionality for non-Deepspeed cases thus enabling a simple
             # training loop that works transparently under many training regimes.






class  _SCREAMING_SNAKE_CASE(       A  ):




       def __init__(						self		,SCREAMING_SNAKE_CASE__							)      ->				str:





             """simple docstring"""






             super().__init__(SCREAMING_SNAKE_CASE__		,device_placement=SCREAMING_SNAKE_CASE__		,scaler=SCREAMING_SNAKE_CASE__							)
             __SCREAMING_SNAKE_CASE       :int		    =  hasattr(self.optimizer		,'''overflow'''							)




       def    _UpperCamelCase					(						self		,SCREAMING_SNAKE_CASE__=None							)      ->				Union[str, Any]:





             """simple docstring"""






             pass  # `accelerator.backward(loss)` is doing that automatically. Therefore, its implementation is not needed




       def    _UpperCamelCase					(						self							)      ->				Union[str, Any]:





             """simple docstring"""






             pass  # `accelerator.backward(loss)` is doing that automatically. Therefore, its implementation is not needed




       @property
       def    _UpperCamelCase					(						self							)      ->				Dict:





             """simple docstring"""






             if self.__has_overflow__:
                   return self.optimizer.overflow
             return False






class  _SCREAMING_SNAKE_CASE(       A  ):




       def __init__(						self		,SCREAMING_SNAKE_CASE__		,SCREAMING_SNAKE_CASE__							)      ->				Optional[int]:





             """simple docstring"""






             super().__init__(SCREAMING_SNAKE_CASE__		,SCREAMING_SNAKE_CASE__							)




       def    _UpperCamelCase					(						self							)      ->				Optional[int]:





             """simple docstring"""






             pass  # `accelerator.backward(loss)` is doing that automatically. Therefore, its implementation is not needed






class  _SCREAMING_SNAKE_CASE:




       def __init__(						self		,SCREAMING_SNAKE_CASE__		,SCREAMING_SNAKE_CASE__=0.0_0_1		,SCREAMING_SNAKE_CASE__=0		,**SCREAMING_SNAKE_CASE__							)      ->				List[str]:





             """simple docstring"""






             __SCREAMING_SNAKE_CASE       :Optional[Any]		    =  params
             __SCREAMING_SNAKE_CASE       :str		    =  lr
             __SCREAMING_SNAKE_CASE       :str		    =  weight_decay
             __SCREAMING_SNAKE_CASE       :int		    =  kwargs






class  _SCREAMING_SNAKE_CASE:




       def __init__(						self		,SCREAMING_SNAKE_CASE__		,SCREAMING_SNAKE_CASE__=None		,SCREAMING_SNAKE_CASE__=0		,**SCREAMING_SNAKE_CASE__							)      ->				str:





             """simple docstring"""






             __SCREAMING_SNAKE_CASE       :Dict		    =  optimizer
             __SCREAMING_SNAKE_CASE       :Union[str, Any]		    =  total_num_steps
             __SCREAMING_SNAKE_CASE       :Any		    =  warmup_num_steps
             __SCREAMING_SNAKE_CASE       :int		    =  kwargs