




"""simple docstring"""







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






class 					SCREAMING_SNAKE_CASE__    (    nn.Module    ):
						_a			  =  42
						_a			  =  jnp.floataa


						def      __lowercase       (							self :	List[Any]    ):
										lowerCAmelCase              = nn.Conv(
										    self.out_channels  ,  kernel_size=(3, 3)  ,  strides=(1, 1)  ,  padding=((1, 1), (1, 1))  ,  dtype=self.dtype  ,  )




						def __call__(							self :	str  ,  lowerCAmelCase :	Optional[Any]    ):
										lowerCAmelCase       ,  lowerCAmelCase       ,  lowerCAmelCase       ,  lowerCAmelCase              = hidden_states.shape
										lowerCAmelCase              = jax.image.resize(
										    SCREAMING_SNAKE_CASE_  ,  shape=(batch, height * 2, width * 2, channels)  ,  method="""nearest"""  ,  )
										lowerCAmelCase              = self.conv(SCREAMING_SNAKE_CASE_    )
										return hidden_states






class 					SCREAMING_SNAKE_CASE__    (    nn.Module    ):
						_a			  =  42
						_a			  =  jnp.floataa


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




						def __call__(							self :	Tuple  ,  lowerCAmelCase :	Dict    ):
										# pad = ((0, 0), (0, 1), (0, 1), (0, 0))  # pad height and width dim
										# hidden_states = jnp.pad(hidden_states, pad_width=pad)
										lowerCAmelCase              = self.conv(SCREAMING_SNAKE_CASE_    )
										return hidden_states






class 					SCREAMING_SNAKE_CASE__    (    nn.Module    ):
						_a			  =  42
						_a			  =  None
						_a			  =  0.0
						_a			  =  None
						_a			  =  jnp.floataa


						def      __lowercase       (							self :	Any    ):
										lowerCAmelCase              = self.in_channels if self.out_channels is None else self.out_channels

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

										lowerCAmelCase              = nn.Dense(SCREAMING_SNAKE_CASE_  ,  dtype=self.dtype    )

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

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

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




						def __call__(							self :	Union[str, Any]  ,  lowerCAmelCase :	Dict  ,  lowerCAmelCase :	Any  ,  lowerCAmelCase :	Optional[int]=True    ):
										lowerCAmelCase              = hidden_states
										lowerCAmelCase              = self.norma(SCREAMING_SNAKE_CASE_    )
										lowerCAmelCase              = nn.swish(SCREAMING_SNAKE_CASE_    )
										lowerCAmelCase              = self.conva(SCREAMING_SNAKE_CASE_    )

										lowerCAmelCase              = self.time_emb_proj(nn.swish(SCREAMING_SNAKE_CASE_    )    )
										lowerCAmelCase              = jnp.expand_dims(jnp.expand_dims(SCREAMING_SNAKE_CASE_  ,  1    )  ,  1    )
										lowerCAmelCase              = hidden_states + temb

										lowerCAmelCase              = self.norma(SCREAMING_SNAKE_CASE_    )
										lowerCAmelCase              = nn.swish(SCREAMING_SNAKE_CASE_    )
										lowerCAmelCase              = self.dropout(SCREAMING_SNAKE_CASE_  ,  SCREAMING_SNAKE_CASE_    )
										lowerCAmelCase              = self.conva(SCREAMING_SNAKE_CASE_    )

										if self.conv_shortcut is not None:
														lowerCAmelCase              = self.conv_shortcut(SCREAMING_SNAKE_CASE_    )

										return hidden_states + residual







def 				a						(							snake_case__:					list						,   snake_case__:					list						,   snake_case__:					int						,   snake_case__:					int						,   snake_case__:					int					):


				'''simple docstring'''
				if index == number_of_items:
								return 0
				lowercase_       =					0
				lowercase_       =					0
				lowercase_       =					knapsack(snake_case__						,   snake_case__						,   snake_case__						,   snake_case__						,   index + 1					)
				if weights[index] <= max_weight:
								lowercase_       =					values[index] + knapsack(
								    snake_case__						,   snake_case__						,   snake_case__						,   max_weight - weights[index]						,   index + 1					)
				return max(snake_case__						,   snake_case__					)


if __name__ == "__main__":
						import doctest

						doctest.testmod()




