



'''simple docstring'''






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




class 							a__(      nn.Module			):
    lowercase__				=					42
    lowercase__				=					jnp.floataa







    def     lowercase_ (   self				:						int			):
      a		:      str       =  nn.Conv(
          self.out_channels		,    kernel_size=(3, 3)		,    strides=(1, 1)		,    padding=((1, 1), (1, 1))		,    dtype=self.dtype		,    )







    def __call__(   self				:						Dict		,    __snake_case				:						Union[str, Any]			):
      a		:      str       =  hidden_states.shape
      a		:      int       =  jax.image.resize(
          __snake_case		,    shape=(batch, height * 2, width * 2, channels)		,    method='nearest'		,    )
      a		:      Optional[Any]       =  self.conv(__snake_case			)
      return hidden_states




class 							a__(      nn.Module			):
    lowercase__				=					42
    lowercase__				=					jnp.floataa







    def     lowercase_ (   self				:						Union[str, Any]			):
      a		:      List[Any]       =  nn.Conv(
          self.out_channels		,    kernel_size=(3, 3)		,    strides=(2, 2)		,    padding=((1, 1), (1, 1))		,    dtype=self.dtype		,    )







    def __call__(   self				:						Union[str, Any]		,    __snake_case				:						Any			):
      # pad = ((0, 0), (0, 1), (0, 1), (0, 0))  # pad height and width dim
      # hidden_states = jnp.pad(hidden_states, pad_width=pad)
      a		:      Optional[Any]       =  self.conv(__snake_case			)
      return hidden_states




class 							a__(      nn.Module			):
    lowercase__				=					42
    lowercase__				=					None
    lowercase__				=					0.0
    lowercase__				=					None
    lowercase__				=					jnp.floataa







    def     lowercase_ (   self				:						List[Any]			):
      a		:      List[Any]       =  self.in_channels if self.out_channels is None else self.out_channels

      a		:      Union[str, Any]       =  nn.GroupNorm(num_groups=32		,    epsilon=1e-5			)
      a		:      Dict       =  nn.Conv(
          __snake_case		,    kernel_size=(3, 3)		,    strides=(1, 1)		,    padding=((1, 1), (1, 1))		,    dtype=self.dtype		,    )

      a		:      Any       =  nn.Dense(__snake_case		,    dtype=self.dtype			)

      a		:      Union[str, Any]       =  nn.GroupNorm(num_groups=32		,    epsilon=1e-5			)
      a		:      Any       =  nn.Dropout(self.dropout_prob			)
      a		:      Optional[Any]       =  nn.Conv(
          __snake_case		,    kernel_size=(3, 3)		,    strides=(1, 1)		,    padding=((1, 1), (1, 1))		,    dtype=self.dtype		,    )

      a		:      List[Any]       =  self.in_channels != out_channels if self.use_nin_shortcut is None else self.use_nin_shortcut

      a		:      Tuple       =  None
      if use_nin_shortcut:
        a		:      str       =  nn.Conv(
            __snake_case		,    kernel_size=(1, 1)		,    strides=(1, 1)		,    padding='VALID'		,    dtype=self.dtype		,    )







    def __call__(   self				:						Any		,    __snake_case				:						str		,    __snake_case				:						Tuple		,    __snake_case				:						List[str]=True			):
      a		:      Tuple       =  hidden_states
      a		:      Optional[int]       =  self.norma(__snake_case			)
      a		:      List[str]       =  nn.swish(__snake_case			)
      a		:      Any       =  self.conva(__snake_case			)

      a		:      Any       =  self.time_emb_proj(nn.swish(__snake_case			)			)
      a		:      Optional[int]       =  jnp.expand_dims(jnp.expand_dims(__snake_case		,    1			)		,    1			)
      a		:      Tuple       =  hidden_states + temb

      a		:      Tuple       =  self.norma(__snake_case			)
      a		:      Optional[Any]       =  nn.swish(__snake_case			)
      a		:      List[Any]       =  self.dropout(__snake_case		,    __snake_case			)
      a		:      Dict       =  self.conva(__snake_case			)

      if self.conv_shortcut is not None:
        a		:      int       =  self.conv_shortcut(__snake_case			)

      return hidden_states + residual




'''simple docstring'''






from pathlib import Path

import fire
def    lowerCamelCase__ (		_A				,    _A				,    _A       ):
  a		:      Optional[Any]       =  Path(_A       )
  a		:      Tuple       =  Path(_A       )
  dest_dir.mkdir(exist_ok=_A       )
  for path in src_dir.iterdir():
    a		:      Tuple       =  [x.rstrip() for x in list(path.open().readlines()       )][:n]
    a		:      List[str]       =  dest_dir.joinpath(path.name       )
    print(_A       )
    dest_path.open('w'       ).write('\n'.join(_A       )       )


if __name__ == "__main__":
     fire.Fire(minify)