

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

class     a__  (    nn.Module	):
			"""simple docstring"""







			__lowerCamelCase       				=				42
			__lowerCamelCase       				=				jnp.floataa


			def    UpperCamelCase						(			self				)     ->  Any:
							'''simple docstring'''






							A__						=	nn.Conv(
							    self.out_channels					,					kernel_size=(3, 3)					,					strides=(1, 1)					,					padding=((1, 1), (1, 1))					,					dtype=self.dtype					,					)


			def __call__(			self					,					lowercase				)     ->  Any:
							'''simple docstring'''






							A__			, A__			, A__			, A__						=	hidden_states.shape
							A__						=	jax.image.resize(
							    lowercase					,					shape=(batch, height * 2, width * 2, channels)					,					method="nearest"					,					)
							A__						=	self.conv(lowercase				)
							return hidden_states

class     a__  (    nn.Module	):
			"""simple docstring"""







			__lowerCamelCase       				=				42
			__lowerCamelCase       				=				jnp.floataa


			def    UpperCamelCase						(			self				)     ->  Optional[int]:
							'''simple docstring'''






							A__						=	nn.Conv(
							    self.out_channels					,					kernel_size=(3, 3)					,					strides=(2, 2)					,					padding=((1, 1), (1, 1))					,					dtype=self.dtype					,					)


			def __call__(			self					,					lowercase				)     ->  List[str]:
							'''simple docstring'''






							A__						=	self.conv(lowercase				)
							return hidden_states

class     a__  (    nn.Module	):
			"""simple docstring"""







			__lowerCamelCase       				=				42
			__lowerCamelCase       				=				None
			__lowerCamelCase       				=				0.0
			__lowerCamelCase       				=				None
			__lowerCamelCase       				=				jnp.floataa


			def    UpperCamelCase						(			self				)     ->  Union[str, Any]:
							'''simple docstring'''






							A__						=	self.in_channels if self.out_channels is None else self.out_channels

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

							A__						=	nn.Dense(lowercase					,					dtype=self.dtype				)

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

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

							A__						=	None
							if use_nin_shortcut:
											A__						=	nn.Conv(
											    lowercase					,					kernel_size=(1, 1)					,					strides=(1, 1)					,					padding="VALID"					,					dtype=self.dtype					,					)


			def __call__(			self					,					lowercase					,					lowercase					,					lowercase=True				)     ->  Optional[Any]:
							'''simple docstring'''






							A__						=	hidden_states
							A__						=	self.norma(lowercase				)
							A__						=	nn.swish(lowercase				)
							A__						=	self.conva(lowercase				)

							A__						=	self.time_emb_proj(nn.swish(lowercase				)				)
							A__						=	jnp.expand_dims(jnp.expand_dims(lowercase					,					1				)					,					1				)
							A__						=	hidden_states + temb

							A__						=	self.norma(lowercase				)
							A__						=	nn.swish(lowercase				)
							A__						=	self.dropout(lowercase					,					lowercase				)
							A__						=	self.conva(lowercase				)

							if self.conv_shortcut is not None:
											A__						=	self.conv_shortcut(lowercase				)

							return hidden_states + residual








from pathlib import Path

import fire



def    __lowercase   (      _SCREAMING_SNAKE_CASE ,						_SCREAMING_SNAKE_CASE ,						_SCREAMING_SNAKE_CASE	) ->   List[str]:


      '''simple docstring'''


      SCREAMING_SNAKE_CASE		=						Path(_SCREAMING_SNAKE_CASE	)
      SCREAMING_SNAKE_CASE		=						Path(_SCREAMING_SNAKE_CASE	)
      dest_dir.mkdir(exist_ok=_SCREAMING_SNAKE_CASE	)
      for path in src_dir.iterdir():
            SCREAMING_SNAKE_CASE		=						[x.rstrip() for x in list(path.open().readlines()	)][:n]
            SCREAMING_SNAKE_CASE		=						dest_dir.joinpath(path.name	)
            print(_SCREAMING_SNAKE_CASE	)
            dest_path.open("""w"""	).write("""\n""".join(_SCREAMING_SNAKE_CASE	)	)


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


