
"""simple docstring"""



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

class       lowerCAmelCase__				(						nn.Module	):
     __a						=					42
     __a						=					jnp.floataa







     def      lowercase	(							self			:			Union[str, Any]			):
       _snake_case					     =       nn.Conv(
           self.out_channels    ,      kernel_size=(3, 3)    ,      strides=(1, 1)    ,      padding=((1, 1), (1, 1))    ,      dtype=self.dtype    ,      )







     def __call__(							self			:			List[Any]    ,      _lowerCamelCase			:			List[Any]			):
       _snake_case     ,					_snake_case     ,					_snake_case     ,					_snake_case					     =       hidden_states.shape
       _snake_case					     =       jax.image.resize(
           _lowerCamelCase    ,      shape=(batch, height * 2, width * 2, channels)    ,      method='''nearest'''    ,      )
       _snake_case					     =       self.conv(_lowerCamelCase			)
       return hidden_states






class       lowerCAmelCase__				(						nn.Module	):
     __a						=					42
     __a						=					jnp.floataa







     def      lowercase	(							self			:			int			):
       _snake_case					     =       nn.Conv(
           self.out_channels    ,      kernel_size=(3, 3)    ,      strides=(2, 2)    ,      padding=((1, 1), (1, 1))    ,      dtype=self.dtype    ,      )







     def __call__(							self			:			int    ,      _lowerCamelCase			:			Optional[int]			):
       # pad = ((0, 0), (0, 1), (0, 1), (0, 0))  # pad height and width dim
       # hidden_states = jnp.pad(hidden_states, pad_width=pad)
       _snake_case					     =       self.conv(_lowerCamelCase			)
       return hidden_states






class       lowerCAmelCase__				(						nn.Module	):
     __a						=					42
     __a						=					None
     __a						=					0.0
     __a						=					None
     __a						=					jnp.floataa







     def      lowercase	(							self			:			List[str]			):
       _snake_case					     =       self.in_channels if self.out_channels is None else self.out_channels

       _snake_case					     =       nn.GroupNorm(num_groups=32    ,      epsilon=1e-5			)
       _snake_case					     =       nn.Conv(
           _lowerCamelCase    ,      kernel_size=(3, 3)    ,      strides=(1, 1)    ,      padding=((1, 1), (1, 1))    ,      dtype=self.dtype    ,      )

       _snake_case					     =       nn.Dense(_lowerCamelCase    ,      dtype=self.dtype			)

       _snake_case					     =       nn.GroupNorm(num_groups=32    ,      epsilon=1e-5			)
       _snake_case					     =       nn.Dropout(self.dropout_prob			)
       _snake_case					     =       nn.Conv(
           _lowerCamelCase    ,      kernel_size=(3, 3)    ,      strides=(1, 1)    ,      padding=((1, 1), (1, 1))    ,      dtype=self.dtype    ,      )

       _snake_case					     =       self.in_channels != out_channels if self.use_nin_shortcut is None else self.use_nin_shortcut

       _snake_case					     =       None
       if use_nin_shortcut:
         _snake_case					     =       nn.Conv(
             _lowerCamelCase    ,      kernel_size=(1, 1)    ,      strides=(1, 1)    ,      padding='''VALID'''    ,      dtype=self.dtype    ,      )







     def __call__(							self			:			Optional[int]    ,      _lowerCamelCase			:			str    ,      _lowerCamelCase			:			Dict    ,      _lowerCamelCase			:			List[str]=True			):
       _snake_case					     =       hidden_states
       _snake_case					     =       self.norma(_lowerCamelCase			)
       _snake_case					     =       nn.swish(_lowerCamelCase			)
       _snake_case					     =       self.conva(_lowerCamelCase			)

       _snake_case					     =       self.time_emb_proj(nn.swish(_lowerCamelCase			)			)
       _snake_case					     =       jnp.expand_dims(jnp.expand_dims(_lowerCamelCase    ,      1			)    ,      1			)
       _snake_case					     =       hidden_states + temb

       _snake_case					     =       self.norma(_lowerCamelCase			)
       _snake_case					     =       nn.swish(_lowerCamelCase			)
       _snake_case					     =       self.dropout(_lowerCamelCase    ,      _lowerCamelCase			)
       _snake_case					     =       self.conva(_lowerCamelCase			)

       if self.conv_shortcut is not None:
         _snake_case					     =       self.conv_shortcut(_lowerCamelCase			)

       return hidden_states + residual





"""simple docstring"""



def 					_UpperCAmelCase      ( __lowerCamelCase   :       Tuple		)     ->					Any:
  stooge(__lowerCamelCase ,					0 ,					len(__lowerCamelCase		) - 1		)
  return arr
def 					_UpperCAmelCase      ( __lowerCamelCase   :       str ,					__lowerCamelCase   :       List[str] ,					__lowerCamelCase   :       str		)     ->					int:
  if i >= h:
    return

  # If first element is smaller than the last then swap them
  if arr[i] > arr[h]:
    _snake_case     ,					_snake_case					     =       arr[h], arr[i]

  # If there are more than 2 elements in the array
  if h - i + 1 > 2:
    _snake_case					     =       (int)((h - i + 1) / 3		)

    # Recursively sort first 2/3 elements
    stooge(__lowerCamelCase ,					__lowerCamelCase ,					(h - t)		)

    # Recursively sort last 2/3 elements
    stooge(__lowerCamelCase ,					i + t ,					(__lowerCamelCase)		)

    # Recursively sort first 2/3 elements
    stooge(__lowerCamelCase ,					__lowerCamelCase ,					(h - t)		)


if __name__ == "__main__":
 UpperCAmelCase__          = input('Enter numbers separated by a comma:\n').strip()
 UpperCAmelCase__          = [int(item) for item in user_input.split(',')]
 print(stooge_sort(unsorted))



