
import numpy as np


class     __SCREAMING_SNAKE_CASE					:






						def __init__(	self   ):






												"""simple docstring"""
												lowerCAmelCase__    						=						(0, 0)
												lowerCAmelCase__    						=						None
												lowerCAmelCase__    						=						0
												lowerCAmelCase__    						=						0
												lowerCAmelCase__    						=						0






						def __eq__(	self     ,						_UpperCamelCase   ):






												"""simple docstring"""
												return self.position == cell.position







						def       UpperCamelCase__      (	self   ):






												"""simple docstring"""
												print(self.position   )




class     __SCREAMING_SNAKE_CASE					:






						def __init__(	self     ,						_UpperCamelCase=(5, 5)   ):






												"""simple docstring"""
												lowerCAmelCase__    						=						np.zeros(_UpperCamelCase   )
												lowerCAmelCase__    						=						world_size[0]
												lowerCAmelCase__    						=						world_size[1]






						def       UpperCamelCase__      (	self   ):






												"""simple docstring"""
												print(self.w   )







						def       UpperCamelCase__      (	self     ,						_UpperCamelCase   ):






												"""simple docstring"""
												lowerCAmelCase__    						=						[
												    (-1, -1),
												    (-1, 0),
												    (-1, 1),
												    (0, -1),
												    (0, 1),
												    (1, -1),
												    (1, 0),
												    (1, 1),
												]
												lowerCAmelCase__    						=						cell.position[0]
												lowerCAmelCase__    						=						cell.position[1]
												lowerCAmelCase__    						=						[]
												for n in neughbour_cord:
																		lowerCAmelCase__    						=						current_x + n[0]
																		lowerCAmelCase__    						=						current_y + n[1]
																		if 0 <= x < self.world_x_limit and 0 <= y < self.world_y_limit:
																								lowerCAmelCase__    						=						Cell()
																								lowerCAmelCase__    						=						(x, y)
																								lowerCAmelCase__    						=						cell
																								neighbours.append(_UpperCamelCase   )
												return neighbours







def 	_UpperCamelCase   (    UpperCamelCase_       :					Any    ,       UpperCamelCase_       :					Any    ,       UpperCamelCase_       :					Any		)  ->   str:

						"""simple docstring"""



						lowerCAmelCase__    						=						[]
						lowerCAmelCase__    						=						[]
						_open.append(lowerCamelCase__		)

						while _open:
												lowerCAmelCase__    						=						np.argmin([n.f for n in _open]		)
												lowerCAmelCase__    						=						_open[min_f]
												_closed.append(_open.pop(lowerCamelCase__		)		)
												if current == goal:
																		break
												for n in world.get_neigbours(lowerCamelCase__		):
																		for c in _closed:
																								if c == n:
																														continue
																		lowerCAmelCase__    						=						current.g + 1
																		lowerCAmelCase__						,       lowerCAmelCase__    						=						n.position
																		lowerCAmelCase__						,       lowerCAmelCase__    						=						goal.position
																		lowerCAmelCase__    						=						(ya - ya) ** 2 + (xa - xa) ** 2
																		lowerCAmelCase__    						=						n.h + n.g

																		for c in _open:
																								if c == n and c.f < n.f:
																														continue
																		_open.append(lowerCamelCase__		)
						lowerCAmelCase__    						=						[]
						while current.parent is not None:
												path.append(current.position		)
												lowerCAmelCase__    						=						current.parent
						path.append(current.position		)
						return path[::-1]


if __name__ == "__main__":
					__snake_case    :    Dict         =     Gridworld()
					# Start position and goal
					__snake_case    :    Tuple         =     Cell()
					__snake_case    :    int         =     (0, 0)
					__snake_case    :    List[Any]         =     Cell()
					__snake_case    :    Dict         =     (4, 4)
					print(f'path from {start.position} to {goal.position}')
					__snake_case    :    List[Any]         =     astar(world, start, goal)
					#   Just for visual reasons.
					for i in s:
										__snake_case    :    Dict         =     1
					print(world.w)













from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_flax_available, is_torch_available


__snake_case    :    Dict         =     {"""configuration_speech_encoder_decoder""": ["""SpeechEncoderDecoderConfig"""]}

try:
					if not is_torch_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					__snake_case    :    Union[str, Any]         =     ["""SpeechEncoderDecoderModel"""]

try:
					if not is_flax_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					__snake_case    :    str         =     ["""FlaxSpeechEncoderDecoderModel"""]

if TYPE_CHECKING:
					from .configuration_speech_encoder_decoder import SpeechEncoderDecoderConfig

					try:
										if not is_torch_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .modeling_speech_encoder_decoder import SpeechEncoderDecoderModel

					try:
										if not is_flax_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .modeling_flax_speech_encoder_decoder import FlaxSpeechEncoderDecoderModel

else:
					import sys

					__snake_case    :    Tuple         =     _LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)





