





"""simple docstring"""




from collections.abc import Sequence
from queue import Queue


class  __UpperCamelCase       :






							def __init__(     self   ,      lowerCAmelCase__   ,      lowerCAmelCase__   ,      lowerCAmelCase__   ,      lowerCAmelCase__=None   ,      lowerCAmelCase__=None   )			->				Optional[int]:
								a   :	List[str]			=       start
								a   :	Dict			=       end
								a   :	Optional[int]			=       val
								a   :	List[str]			=       (start + end) // 2
								a   :	Any			=       left
								a   :	str			=       right






							def __repr__(     self   )			->				List[Any]:
								return f"""SegmentTreeNode(start={self.start}, end={self.end}, val={self.val})"""


class  __UpperCamelCase       :






							def __init__(     self   ,      lowerCAmelCase__   ,      lowerCAmelCase__   )			->				Tuple:
								a   :	Tuple			=       collection
								a   :	Optional[int]			=       function
								if self.collection:
									a   :	int			=       self._build_tree(0   ,      len(lowerCAmelCase__   ) - 1   )






							def 					__a     (     self   ,      lowerCAmelCase__   ,      lowerCAmelCase__   )			->				Tuple:
								self._update_tree(self.root   ,      lowerCAmelCase__   ,      lowerCAmelCase__   )






							def 					__a     (     self   ,      lowerCAmelCase__   ,      lowerCAmelCase__   )			->				str:
								return self._query_range(self.root   ,      lowerCAmelCase__   ,      lowerCAmelCase__   )






							def 					__a     (     self   ,      lowerCAmelCase__   ,      lowerCAmelCase__   )			->				Optional[int]:
								if start == end:
									return SegmentTreeNode(lowerCAmelCase__   ,      lowerCAmelCase__   ,      self.collection[start]   )
								a   :	int			=       (start + end) // 2
								a   :	List[str]			=       self._build_tree(lowerCAmelCase__   ,      lowerCAmelCase__   )
								a   :	List[Any]			=       self._build_tree(mid + 1   ,      lowerCAmelCase__   )
								return SegmentTreeNode(lowerCAmelCase__   ,      lowerCAmelCase__   ,      self.fn(left.val   ,      right.val   )   ,      lowerCAmelCase__   ,      lowerCAmelCase__   )






							def 					__a     (     self   ,      lowerCAmelCase__   ,      lowerCAmelCase__   ,      lowerCAmelCase__   )			->				Union[str, Any]:
								if node.start == i and node.end == i:
									a   :	str			=       val
									return
								if i <= node.mid:
									self._update_tree(node.left   ,      lowerCAmelCase__   ,      lowerCAmelCase__   )
								else:
									self._update_tree(node.right   ,      lowerCAmelCase__   ,      lowerCAmelCase__   )
								a   :	List[str]			=       self.fn(node.left.val   ,      node.right.val   )






							def 					__a     (     self   ,      lowerCAmelCase__   ,      lowerCAmelCase__   ,      lowerCAmelCase__   )			->				Optional[Any]:
								if node.start == i and node.end == j:
									return node.val

								if i <= node.mid:
									if j <= node.mid:
										# range in left child tree
										return self._query_range(node.left   ,      lowerCAmelCase__   ,      lowerCAmelCase__   )
									else:
										# range in left child tree and right child tree
										return self.fn(
										    self._query_range(node.left   ,      lowerCAmelCase__   ,      node.mid   )   ,      self._query_range(node.right   ,      node.mid + 1   ,      lowerCAmelCase__   )   ,      )
								else:
									# range in right child tree
									return self._query_range(node.right   ,      lowerCAmelCase__   ,      lowerCAmelCase__   )






							def 					__a     (     self   )			->				Any:
								if self.root is not None:
									a   :	Union[str, Any]			=       Queue()
									queue.put(self.root   )
									while not queue.empty():
										a   :	Any			=       queue.get()
										yield node

										if node.left is not None:
											queue.put(node.left   )

										if node.right is not None:
											queue.put(node.right   )


if __name__ == "__main__":
		import operator

		for fn in [operator.add, max, min]:
				print('''*''' * 50)
				a		:				List[Any]  			=    SegmentTree([2, 1, 5, 3, 4], fn)
				for node in arr.traverse():
						print(node)
				print()

				arr.update(1, 5)
				for node in arr.traverse():
						print(node)
				print()

				print(arr.query_range(3, 4))  # 7
				print(arr.query_range(2, 2))  # 5
				print(arr.query_range(1, 3))  # 13
				print()









"""simple docstring"""




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


class  __UpperCamelCase       (		nn.Module		):
							lowerCamelCase     :      int
							lowerCamelCase     :      jnp.dtype         =jnp.floataa






							def 					__a     (     self   )			->				Tuple:
								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   ,      lowerCAmelCase__   )			->				Optional[Any]:
								a, a, a, a   :	List[str]			=       hidden_states.shape
								a   :	List[Any]			=       jax.image.resize(
								    lowerCAmelCase__   ,      shape=(batch, height * 2, width * 2, channels)   ,      method="nearest"   ,      )
								a   :	List[str]			=       self.conv(lowerCAmelCase__   )
								return hidden_states


class  __UpperCamelCase       (		nn.Module		):
							lowerCamelCase     :      int
							lowerCamelCase     :      jnp.dtype         =jnp.floataa






							def 					__a     (     self   )			->				Dict:
								a   :	Optional[Any]			=       nn.Conv(
								    self.out_channels   ,      kernel_size=(3, 3)   ,      strides=(2, 2)   ,      padding=((1, 1), (1, 1))   ,      dtype=self.dtype   ,      )






							def __call__(     self   ,      lowerCAmelCase__   )			->				Tuple:
								# pad = ((0, 0), (0, 1), (0, 1), (0, 0))  # pad height and width dim
								# hidden_states = jnp.pad(hidden_states, pad_width=pad)
								a   :	Tuple			=       self.conv(lowerCAmelCase__   )
								return hidden_states


class  __UpperCamelCase       (		nn.Module		):
							lowerCamelCase     :      int
							lowerCamelCase     :      int         =None
							lowerCamelCase     :      float         =0.0
							lowerCamelCase     :      bool         =None
							lowerCamelCase     :      jnp.dtype         =jnp.floataa






							def 					__a     (     self   )			->				int:
								a   :	Dict			=       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   :	List[Any]			=       nn.Conv(
								    lowerCAmelCase__   ,      kernel_size=(3, 3)   ,      strides=(1, 1)   ,      padding=((1, 1), (1, 1))   ,      dtype=self.dtype   ,      )

								a   :	List[Any]			=       nn.Dense(lowerCAmelCase__   ,      dtype=self.dtype   )

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

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

								a   :	List[str]			=       None
								if use_nin_shortcut:
									a   :	Optional[Any]			=       nn.Conv(
									    lowerCAmelCase__   ,      kernel_size=(1, 1)   ,      strides=(1, 1)   ,      padding="VALID"   ,      dtype=self.dtype   ,      )






							def __call__(     self   ,      lowerCAmelCase__   ,      lowerCAmelCase__   ,      lowerCAmelCase__=True   )			->				str:
								a   :	int			=       hidden_states
								a   :	Tuple			=       self.norma(lowerCAmelCase__   )
								a   :	Any			=       nn.swish(lowerCAmelCase__   )
								a   :	int			=       self.conva(lowerCAmelCase__   )

								a   :	int			=       self.time_emb_proj(nn.swish(lowerCAmelCase__   )   )
								a   :	Tuple			=       jnp.expand_dims(jnp.expand_dims(lowerCAmelCase__   ,      1   )   ,      1   )
								a   :	Dict			=       hidden_states + temb

								a   :	str			=       self.norma(lowerCAmelCase__   )
								a   :	List[Any]			=       nn.swish(lowerCAmelCase__   )
								a   :	List[str]			=       self.dropout(lowerCAmelCase__   ,      lowerCAmelCase__   )
								a   :	List[str]			=       self.conva(lowerCAmelCase__   )

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

								return hidden_states + residual


