





import numpy as np


class   A			:
			'''simple docstring'''




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







					"""simple docstring"""






					A__        =   (0, 0)
					A__        =   None
					A__        =   0
					A__        =   0
					A__        =   0






			def __eq__(			self   :    Any							,	__lowerCAmelCase   :    str   )	->	Optional[int]:







					"""simple docstring"""






					return self.position == cell.position







			def    a_       (			self   :    List[str]   )	->	Optional[Any]:







					"""simple docstring"""






					print(self.position   )


class   A			:
			'''simple docstring'''




			def __init__(			self   :    str							,	__lowerCAmelCase   :    Optional[Any]=(5, 5)   )	->	Optional[Any]:







					"""simple docstring"""






					A__        =   np.zeros(__lowerCAmelCase   )
					A__        =   world_size[0]
					A__        =   world_size[1]






			def    a_       (			self   :    Tuple   )	->	Optional[int]:







					"""simple docstring"""






					print(self.w   )







			def    a_       (			self   :    Any							,	__lowerCAmelCase   :    List[Any]   )	->	Dict:







					"""simple docstring"""






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







def    __lowerCamelCase					(							__a   :Union[str, Any]    ,     __a   :str    ,     __a   :int    )		->				Dict:






		"""simple docstring"""

		A__        =   []
		A__        =   []
		_open.append(__a    )

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

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


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










import unittest

from transformers.utils.backbone_utils import (
    BackboneMixin,
    get_aligned_output_features_output_indices,
    verify_out_features_out_indices,
)


class   A			(unittest.TestCase    ):
			'''simple docstring'''




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







					"""simple docstring"""






					A__        =   ["""a""", """b""", """c"""]

					# Defaults to last layer if both are None
					A__      ,			A__        =   get_aligned_output_features_output_indices(__lowerCAmelCase							,	__lowerCAmelCase							,	__lowerCAmelCase   )
					self.assertEqual(__lowerCAmelCase							,	["""c"""]   )
					self.assertEqual(__lowerCAmelCase							,	[2]   )

					# Out indices set to match out features
					A__      ,			A__        =   get_aligned_output_features_output_indices(["""a""", """c"""]							,	__lowerCAmelCase							,	__lowerCAmelCase   )
					self.assertEqual(__lowerCAmelCase							,	["""a""", """c"""]   )
					self.assertEqual(__lowerCAmelCase							,	[0, 2]   )

					# Out features set to match out indices
					A__      ,			A__        =   get_aligned_output_features_output_indices(__lowerCAmelCase							,	[0, 2]							,	__lowerCAmelCase   )
					self.assertEqual(__lowerCAmelCase							,	["""a""", """c"""]   )
					self.assertEqual(__lowerCAmelCase							,	[0, 2]   )

					# Out features selected from negative indices
					A__      ,			A__        =   get_aligned_output_features_output_indices(__lowerCAmelCase							,	[-3, -1]							,	__lowerCAmelCase   )
					self.assertEqual(__lowerCAmelCase							,	["""a""", """c"""]   )
					self.assertEqual(__lowerCAmelCase							,	[-3, -1]   )






			def    a_       (			self   :    Optional[Any]   )	->	Optional[Any]:







					"""simple docstring"""






					with self.assertRaises(__lowerCAmelCase   ):
							verify_out_features_out_indices(["""a""", """b"""]							,	(0, 1)							,	__lowerCAmelCase   )

					# Out features must be a list
					with self.assertRaises(__lowerCAmelCase   ):
							verify_out_features_out_indices(("""a""", """b""")							,	(0, 1)							,	["""a""", """b"""]   )

					# Out features must be a subset of stage names
					with self.assertRaises(__lowerCAmelCase   ):
							verify_out_features_out_indices(["""a""", """b"""]							,	(0, 1)							,	["""a"""]   )

					# Out indices must be a list or tuple
					with self.assertRaises(__lowerCAmelCase   ):
							verify_out_features_out_indices(__lowerCAmelCase							,	0							,	["""a""", """b"""]   )

					# Out indices must be a subset of stage names
					with self.assertRaises(__lowerCAmelCase   ):
							verify_out_features_out_indices(__lowerCAmelCase							,	(0, 1)							,	["""a"""]   )

					# Out features and out indices must be the same length
					with self.assertRaises(__lowerCAmelCase   ):
							verify_out_features_out_indices(["""a""", """b"""]							,	(0,)							,	["""a""", """b""", """c"""]   )

					# Out features should match out indices
					with self.assertRaises(__lowerCAmelCase   ):
							verify_out_features_out_indices(["""a""", """b"""]							,	(0, 2)							,	["""a""", """b""", """c"""]   )

					# Out features and out indices should be in order
					with self.assertRaises(__lowerCAmelCase   ):
							verify_out_features_out_indices(["""b""", """a"""]							,	(0, 1)							,	["""a""", """b"""]   )

					# Check passes with valid inputs
					verify_out_features_out_indices(["""a""", """b""", """d"""]							,	(0, 1, -1)							,	["""a""", """b""", """c""", """d"""]   )







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







					"""simple docstring"""






					A__        =   BackboneMixin()

					A__        =   ["""a""", """b""", """c"""]
					A__        =   ["""a""", """c"""]
					A__        =   [0, 2]

					# Check that the output features and indices are set correctly
					self.assertEqual(backbone.out_features							,	["""a""", """c"""]   )
					self.assertEqual(backbone.out_indices							,	[0, 2]   )

					# Check out features and indices are updated correctly
					A__        =   ["""a""", """b"""]
					self.assertEqual(backbone.out_features							,	["""a""", """b"""]   )
					self.assertEqual(backbone.out_indices							,	[0, 1]   )

					A__        =   [-3, -1]
					self.assertEqual(backbone.out_features							,	["""a""", """c"""]   )
					self.assertEqual(backbone.out_indices							,	[-3, -1]   )



