






import math

import flax.linen as nn
import jax.numpy as jnp


def 	lowerCamelCase__      (  lowercase    ,  lowercase    ,  lowercase = 1    ,  lowercase = 1    ,  lowercase = 1.0E4    ,  lowercase = False    ,  lowercase = 1.0    ,  ):

  """simple docstring"""






  assert timesteps.ndim == 1, "Timesteps should be a 1d-array"
  assert embedding_dim % 2 == 0, F'''Embedding dimension {embedding_dim} should be even'''
  SCREAMING_SNAKE_CASE							:   Union[str, Any]						    =     float(embedding_dim // 2					)
  SCREAMING_SNAKE_CASE							:   Dict						    =     math.log(max_timescale / min_timescale					) / (num_timescales - freq_shift)
  SCREAMING_SNAKE_CASE							:   Optional[Any]						    =     min_timescale * jnp.exp(jnp.arange(lowercase    ,  dtype=jnp.floataa					) * -log_timescale_increment					)
  SCREAMING_SNAKE_CASE							:   Optional[int]						    =     jnp.expand_dims(lowercase    ,  1					) * jnp.expand_dims(lowercase    ,  0					)

  # scale embeddings
  SCREAMING_SNAKE_CASE							:   Optional[int]						    =     scale * emb

  if flip_sin_to_cos:
    SCREAMING_SNAKE_CASE							:   List[Any]						    =     jnp.concatenate([jnp.cos(lowercase					), jnp.sin(lowercase					)]    ,  axis=1					)
  else:
    SCREAMING_SNAKE_CASE							:   Union[str, Any]						    =     jnp.concatenate([jnp.sin(lowercase					), jnp.cos(lowercase					)]    ,  axis=1					)
  SCREAMING_SNAKE_CASE							:   Tuple						    =     jnp.reshape(lowercase    ,  [jnp.shape(lowercase					)[0], embedding_dim]					)
  return signal


class 			SCREAMING_SNAKE_CASE      (      nn.Module       ):
     '''simple docstring'''


     UpperCamelCase_				:		int								=						3_2
     UpperCamelCase_				:		jnp.dtype								=						jnp.floataa


     @nn.compact
     def __call__(					self							:						Tuple       ,			UpperCAmelCase_							:						str   ):
       SCREAMING_SNAKE_CASE							:   Any						    =     nn.Dense(self.time_embed_dim       ,			dtype=self.dtype       ,			name="linear_1"   )(UpperCAmelCase_   )
       SCREAMING_SNAKE_CASE							:   Union[str, Any]						    =     nn.silu(UpperCAmelCase_   )
       SCREAMING_SNAKE_CASE							:   Any						    =     nn.Dense(self.time_embed_dim       ,			dtype=self.dtype       ,			name="linear_2"   )(UpperCAmelCase_   )
       return temb





class 			SCREAMING_SNAKE_CASE      (      nn.Module       ):
     '''simple docstring'''


     UpperCamelCase_				:		int								=						3_2
     UpperCamelCase_				:		bool								=						False
     UpperCamelCase_				:		float								=						1


     @nn.compact
     def __call__(					self							:						Optional[int]       ,			UpperCAmelCase_							:						int   ):
       return get_sinusoidal_embeddings(
           UpperCAmelCase_       ,			embedding_dim=self.dim       ,			flip_sin_to_cos=self.flip_sin_to_cos       ,			freq_shift=self.freq_shift   )













'''simple docstring'''

import numpy as np







class __a			:





   def __init__(       self					:      Optional[int]     ):

      '''simple docstring'''

      __SCREAMING_SNAKE_CASE   				=							(0, 0)
      __SCREAMING_SNAKE_CASE   				=							None
      __SCREAMING_SNAKE_CASE   				=							0
      __SCREAMING_SNAKE_CASE   				=							0
      __SCREAMING_SNAKE_CASE   				=							0





   def __eq__(       self					:      int					,lowerCamelCase					:      List[str]     ):

      '''simple docstring'''

      return self.position == cell.position





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

      '''simple docstring'''

      print(self.position     )







class __a			:





   def __init__(       self					:      int					,lowerCamelCase					:      Optional[int]=(5, 5)     ):

      '''simple docstring'''

      __SCREAMING_SNAKE_CASE   				=							np.zeros(lowerCamelCase     )
      __SCREAMING_SNAKE_CASE   				=							world_size[0]
      __SCREAMING_SNAKE_CASE   				=							world_size[1]





   def   UpperCAmelCase__  (       self					:      Optional[int]     ):

      '''simple docstring'''

      print(self.w     )





   def   UpperCAmelCase__  (       self					:      List[str]					,lowerCamelCase					:      int     ):

      '''simple docstring'''

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





def     __magic_name__							(				__UpperCAmelCase				,						__UpperCAmelCase				,						__UpperCAmelCase   )    ->       Any:

   '''simple docstring'''







   __SCREAMING_SNAKE_CASE   				=							[]
   __SCREAMING_SNAKE_CASE   				=							[]
   _open.append(__UpperCAmelCase   )

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

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


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





