


"""simple docstring"""




import flax.linen as nn
import jax
import jax.numpy as jnp
class 					lowerCAmelCase	(					nn.Module    ):




		'''simple docstring'''







		SCREAMING_SNAKE_CASE_						:     int
		SCREAMING_SNAKE_CASE_						:     jnp.dtype								=     jnp.floataa







		def 							__A						(	self				)     ->							Optional[int]:
								SCREAMING_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						,       lowerCAmelCase__				)     ->							Union[str, Any]:
								SCREAMING_SNAKE_CASE							,				SCREAMING_SNAKE_CASE							,				SCREAMING_SNAKE_CASE							,				SCREAMING_SNAKE_CASE													=					hidden_states.shape
								SCREAMING_SNAKE_CASE													=					jax.image.resize(
								    lowerCAmelCase__						,       shape=(batch, height * 2, width * 2, channels)						,       method='nearest'						,       )
								SCREAMING_SNAKE_CASE													=					self.conv(lowerCAmelCase__				)
								return hidden_states





class 					lowerCAmelCase	(					nn.Module    ):




		'''simple docstring'''







		SCREAMING_SNAKE_CASE_						:     int
		SCREAMING_SNAKE_CASE_						:     jnp.dtype								=     jnp.floataa







		def 							__A						(	self				)     ->							int:
								SCREAMING_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						,       lowerCAmelCase__				)     ->							List[str]:
								# pad = ((0, 0), (0, 1), (0, 1), (0, 0))  # pad height and width dim
								# hidden_states = jnp.pad(hidden_states, pad_width=pad)
								SCREAMING_SNAKE_CASE													=					self.conv(lowerCAmelCase__				)
								return hidden_states





class 					lowerCAmelCase	(					nn.Module    ):




		'''simple docstring'''







		SCREAMING_SNAKE_CASE_						:     int
		SCREAMING_SNAKE_CASE_						:     int								=     None
		SCREAMING_SNAKE_CASE_						:     float								=     0.0
		SCREAMING_SNAKE_CASE_						:     bool								=     None
		SCREAMING_SNAKE_CASE_						:     jnp.dtype								=     jnp.floataa







		def 							__A						(	self				)     ->							Optional[int]:
								SCREAMING_SNAKE_CASE													=					self.in_channels if self.out_channels is None else self.out_channels

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

								SCREAMING_SNAKE_CASE													=					nn.Dense(lowerCAmelCase__						,       dtype=self.dtype				)

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

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

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







		def __call__(	self						,       lowerCAmelCase__						,       lowerCAmelCase__						,       lowerCAmelCase__=True				)     ->							List[str]:
								SCREAMING_SNAKE_CASE													=					hidden_states
								SCREAMING_SNAKE_CASE													=					self.norma(lowerCAmelCase__				)
								SCREAMING_SNAKE_CASE													=					nn.swish(lowerCAmelCase__				)
								SCREAMING_SNAKE_CASE													=					self.conva(lowerCAmelCase__				)

								SCREAMING_SNAKE_CASE													=					self.time_emb_proj(nn.swish(lowerCAmelCase__				)				)
								SCREAMING_SNAKE_CASE													=					jnp.expand_dims(jnp.expand_dims(lowerCAmelCase__						,       1				)						,       1				)
								SCREAMING_SNAKE_CASE													=					hidden_states + temb

								SCREAMING_SNAKE_CASE													=					self.norma(lowerCAmelCase__				)
								SCREAMING_SNAKE_CASE													=					nn.swish(lowerCAmelCase__				)
								SCREAMING_SNAKE_CASE													=					self.dropout(lowerCAmelCase__						,       lowerCAmelCase__				)
								SCREAMING_SNAKE_CASE													=					self.conva(lowerCAmelCase__				)

								if self.conv_shortcut is not None:
														SCREAMING_SNAKE_CASE													=					self.conv_shortcut(lowerCAmelCase__				)

								return hidden_states + residual






"""simple docstring"""




from __future__ import annotations


def     lowercase			(SCREAMING_SNAKE_CASE_		:				str  )   ->						list[int]:
						return [ord(SCREAMING_SNAKE_CASE_  ) - 96 for elem in plain]


def     lowercase			(SCREAMING_SNAKE_CASE_		:				list[int]  )   ->						str:
						return "".join(chr(elem + 96  ) for elem in encoded  )


def     lowercase			()   ->						None:
						SCREAMING_SNAKE_CASE													=					encode(input('-> '  ).strip().lower()  )
						print('Encoded: ' ,			SCREAMING_SNAKE_CASE_  )
						print('Decoded:' ,			decode(SCREAMING_SNAKE_CASE_  )  )


if __name__ == "__main__":
	main()


