


"""simple docstring"""



import numpy as np
class 					__magic_name__		:






       def __init__(   self  :    Union[str, Any]				):

              '''simple docstring'''






              lowercase		:Optional[int]       							=				(0, 0)
              lowercase		:str       							=				None
              lowercase		:int       							=				0
              lowercase		:Optional[Any]       							=				0
              lowercase		:Dict       							=				0






       def __eq__(   self  :    Any  ,     snake_case__  :    str				):

              '''simple docstring'''






              return self.position == cell.position







       def  __snake_case						(   self  :    List[Any]				):

              '''simple docstring'''






              print(self.position				)







class 					__magic_name__		:






       def __init__(   self  :    List[Any]  ,     snake_case__  :    Any=(5, 5)				):

              '''simple docstring'''






              lowercase		:Optional[Any]       							=				np.zeros(snake_case__				)
              lowercase		:List[Any]       							=				world_size[0]
              lowercase		:Optional[Any]       							=				world_size[1]






       def  __snake_case						(   self  :    Optional[Any]				):

              '''simple docstring'''






              print(self.w				)







       def  __snake_case						(   self  :    int  ,     snake_case__  :    Optional[Any]				):

              '''simple docstring'''






              lowercase		:Dict       							=				[
                  (-1, -1),
                  (-1, 0),
                  (-1, 1),
                  (0, -1),
                  (0, 1),
                  (1, -1),
                  (1, 0),
                  (1, 1),
              ]
              lowercase		:str       							=				cell.position[0]
              lowercase		:List[Any]       							=				cell.position[1]
              lowercase		:Optional[int]       							=				[]
              for n in neughbour_cord:
                     lowercase		:Any       							=				current_x + n[0]
                     lowercase		:List[Any]       							=				current_y + n[1]
                     if 0 <= x < self.world_x_limit and 0 <= y < self.world_y_limit:
                            lowercase		:Dict       							=				Cell()
                            lowercase		:int       							=				(x, y)
                            lowercase		:int       							=				cell
                            neighbours.append(snake_case__				)
              return neighbours







def       lowerCamelCase					(a_						:int				,				a_						:Tuple				,				a_						:Dict)     ->							Any:
       lowercase		:Dict       							=				[]
       lowercase		:Optional[int]       							=				[]
       _open.append(a_)

       while _open:
              lowercase		:str       							=				np.argmin([n.f for n in _open])
              lowercase		:Union[str, Any]       							=				_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
                     lowercase		:str       							=				current.g + 1
                     lowercase							,  lowercase		:Any       							=				n.position
                     lowercase							,  lowercase		:Optional[Any]       							=				goal.position
                     lowercase		:Optional[Any]       							=				(ya - ya) ** 2 + (xa - xa) ** 2
                     lowercase		:List[Any]       							=				n.h + n.g

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


if __name__ == "__main__":
 UpperCAmelCase      		=			Gridworld()
 # Start position and goal
 UpperCAmelCase      		=			Cell()
 UpperCAmelCase      		=			(0, 0)
 UpperCAmelCase      		=			Cell()
 UpperCAmelCase      		=			(4, 4)
 print(F"""path from {start.position} to {goal.position}""")
 UpperCAmelCase      		=			astar(world, start, goal)
 #   Just for visual reasons.
 for i in s:
  UpperCAmelCase      		=			1
 print(world.w)





"""simple docstring"""



import unittest

from diffusers import FlaxAutoencoderKL
from diffusers.utils import is_flax_available
from diffusers.utils.testing_utils import require_flax

from .test_modeling_common_flax import FlaxModelTesterMixin


if is_flax_available():
 import jax
@require_flax
class 					__magic_name__		(			__UpperCAmelCase			,						unittest.TestCase     ):
       __A			:      str        =   FlaxAutoencoderKL






       @property
       def  __snake_case						(   self  :    List[str]				):

              '''simple docstring'''






              lowercase		:Dict       							=				4
              lowercase		:Optional[int]       							=				3
              lowercase		:Any       							=				(3_2, 3_2)

              lowercase		:Optional[int]       							=				jax.random.PRNGKey(0				)
              lowercase		:Any       							=				jax.random.uniform(snake_case__  ,     ((batch_size, num_channels) + sizes)				)

              return {"sample": image, "prng_key": prng_key}







       def  __snake_case						(   self  :    Union[str, Any]				):

              '''simple docstring'''






              lowercase		:List[Any]       							=				{
                  '''block_out_channels''': [3_2, 6_4],
                  '''in_channels''': 3,
                  '''out_channels''': 3,
                  '''down_block_types''': ['''DownEncoderBlock2D''', '''DownEncoderBlock2D'''],
                  '''up_block_types''': ['''UpDecoderBlock2D''', '''UpDecoderBlock2D'''],
                  '''latent_channels''': 4,
              }
              lowercase		:Optional[int]       							=				self.dummy_input
              return init_dict, inputs_dict

