



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


class 						lowercase    (							nn.Module):
						'''simple docstring'''


						UpperCAmelCase			:		int
						UpperCAmelCase			:		jnp.dtype		=		jnp.floataa







						def       lowerCamelCase_				(  self    :				List[Any]	):



											'''simple docstring'''


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







						def __call__(  self    :				List[str]       ,	snake_case    :				Any	):



											'''simple docstring'''


											SCREAMING_SNAKE_CASE					,  SCREAMING_SNAKE_CASE					,  SCREAMING_SNAKE_CASE					,  SCREAMING_SNAKE_CASE							:     Union[str, Any]						=				hidden_states.shape
											SCREAMING_SNAKE_CASE							:     int						=				jax.image.resize(
											    snake_case       ,	shape=(batch, height * 2, width * 2, channels)       ,	method='nearest'       ,	)
											SCREAMING_SNAKE_CASE							:     Any						=				self.conv(snake_case	)
											return hidden_states


class 						lowercase    (							nn.Module):
						'''simple docstring'''


						UpperCAmelCase			:		int
						UpperCAmelCase			:		jnp.dtype		=		jnp.floataa







						def       lowerCamelCase_				(  self    :				List[str]	):



											'''simple docstring'''


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







						def __call__(  self    :				Dict       ,	snake_case    :				Union[str, Any]	):



											'''simple docstring'''


											SCREAMING_SNAKE_CASE							:     Optional[int]						=				self.conv(snake_case	)
											return hidden_states


class 						lowercase    (							nn.Module):
						'''simple docstring'''


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







						def       lowerCamelCase_				(  self    :				Dict	):



											'''simple docstring'''


											SCREAMING_SNAKE_CASE							:     Any						=				self.in_channels if self.out_channels is None else self.out_channels

											SCREAMING_SNAKE_CASE							:     List[Any]						=				nn.GroupNorm(num_groups=32       ,	epsilon=1E-5	)
											SCREAMING_SNAKE_CASE							:     Any						=				nn.Conv(
											    snake_case       ,	kernel_size=(3, 3)       ,	strides=(1, 1)       ,	padding=((1, 1), (1, 1))       ,	dtype=self.dtype       ,	)

											SCREAMING_SNAKE_CASE							:     Optional[Any]						=				nn.Dense(snake_case       ,	dtype=self.dtype	)

											SCREAMING_SNAKE_CASE							:     List[str]						=				nn.GroupNorm(num_groups=32       ,	epsilon=1E-5	)
											SCREAMING_SNAKE_CASE							:     Optional[Any]						=				nn.Dropout(self.dropout_prob	)
											SCREAMING_SNAKE_CASE							:     Optional[Any]						=				nn.Conv(
											    snake_case       ,	kernel_size=(3, 3)       ,	strides=(1, 1)       ,	padding=((1, 1), (1, 1))       ,	dtype=self.dtype       ,	)

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

											SCREAMING_SNAKE_CASE							:     Optional[int]						=				None
											if use_nin_shortcut:
																SCREAMING_SNAKE_CASE							:     List[str]						=				nn.Conv(
																    snake_case       ,	kernel_size=(1, 1)       ,	strides=(1, 1)       ,	padding='VALID'       ,	dtype=self.dtype       ,	)







						def __call__(  self    :				str       ,	snake_case    :				Optional[int]       ,	snake_case    :				Any       ,	snake_case    :				Any=True	):



											'''simple docstring'''


											SCREAMING_SNAKE_CASE							:     List[str]						=				hidden_states
											SCREAMING_SNAKE_CASE							:     List[Any]						=				self.norma(snake_case	)
											SCREAMING_SNAKE_CASE							:     Dict						=				nn.swish(snake_case	)
											SCREAMING_SNAKE_CASE							:     Optional[Any]						=				self.conva(snake_case	)

											SCREAMING_SNAKE_CASE							:     str						=				self.time_emb_proj(nn.swish(snake_case	)	)
											SCREAMING_SNAKE_CASE							:     List[str]						=				jnp.expand_dims(jnp.expand_dims(snake_case       ,	1	)       ,	1	)
											SCREAMING_SNAKE_CASE							:     int						=				hidden_states + temb

											SCREAMING_SNAKE_CASE							:     Optional[int]						=				self.norma(snake_case	)
											SCREAMING_SNAKE_CASE							:     Optional[Any]						=				nn.swish(snake_case	)
											SCREAMING_SNAKE_CASE							:     str						=				self.dropout(snake_case       ,	snake_case	)
											SCREAMING_SNAKE_CASE							:     Union[str, Any]						=				self.conva(snake_case	)

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

											return hidden_states + residual




from __future__ import annotations

def        __a			(   __lowerCAmelCase      ,	__lowerCAmelCase = None   )     ->     list[list[str]]:
					SCREAMING_SNAKE_CASE							:     Dict						=				word_bank or []
					# create a table
					SCREAMING_SNAKE_CASE							:     int						=				len(__lowerCAmelCase   ) + 1

					SCREAMING_SNAKE_CASE							:     list[list[list[str]]]						=				[]
					for _ in range(__lowerCAmelCase   ):
										table.append([]   )
					# seed value
					SCREAMING_SNAKE_CASE							:     Tuple						=				[[]]  # because empty string has empty combination

					# iterate through the indices
					for i in range(__lowerCAmelCase   ):
										# condition
										if table[i] != []:
															for word in word_bank:
																				# slice condition
																				if target[i : i + len(__lowerCAmelCase   )] == word:
																									SCREAMING_SNAKE_CASE							:     list[list[str]]						=				[
																									    [word, *way] for way in table[i]
																									]
																									# adds the word to every combination the current position holds
																									# now,push that combination to the table[i+len(word)]
																									table[i + len(__lowerCAmelCase   )] += new_combinations

    # combinations are in reverse order so reverse for better output
					for combination in table[len(__lowerCAmelCase   )]:
										combination.reverse()

					return table[len(__lowerCAmelCase   )]


if __name__ == "__main__":
			print(all_construct("""jwajalapa""", ["""jwa""", """j""", """w""", """a""", """la""", """lapa"""]))
			print(all_construct("""rajamati""", ["""s""", """raj""", """amat""", """raja""", """ma""", """i""", """t"""]))
			print(
			    all_construct(
			        """hexagonosaurus""",
			        ["""h""", """ex""", """hex""", """ag""", """ago""", """ru""", """auru""", """rus""", """go""", """no""", """o""", """s"""],
			    )
			)