




"""simple docstring"""







from __future__ import annotations

from random import random
from typing import Generic, TypeVar

a      =							TypeVar('KT')
a      =							TypeVar('VT')






class       SCREAMING_SNAKE_CASE__					(					Generic[KT, VT]					):


						def __init__(							self				:			List[Any]						,						lowerCAmelCase				:			KT | str = "root"						,						lowerCAmelCase				:			VT | None = None					):
										lowerCAmelCase  =				key
										lowerCAmelCase  =				value
										lowerCAmelCase  =				[]


						def __repr__(							self				:			List[Any]					):
										return f'''Node({self.key}: {self.value})'''




						@property
						def   __lowercase (							self				:			Tuple					):
										return len(self.forward					)






class       SCREAMING_SNAKE_CASE__					(					Generic[KT, VT]					):


						def __init__(							self				:			Dict						,						lowerCAmelCase				:			float = 0.5						,						lowerCAmelCase				:			int = 16					):
										lowerCAmelCase  =				Node[KT, VT]()
										lowerCAmelCase  =				0
										lowerCAmelCase  =				p
										lowerCAmelCase  =				max_level


						def __str__(							self				:			List[str]					):
										lowerCAmelCase  =				list(self					)

										if len(lowerCAmelCase					) == 0:
														return f'''SkipList(level={self.level})'''

										lowerCAmelCase  =				max((len(str(lowerCAmelCase					)					) for item in items)						,						default=4					)
										lowerCAmelCase  =				max(lowerCAmelCase						,						4					) + 4

										lowerCAmelCase  =				self.head
										lowerCAmelCase  =				[]

										lowerCAmelCase  =				node.forward.copy()
										lines.append(f'''[{node.key}]'''.ljust(lowerCAmelCase						,						"""-"""					) + """* """ * len(lowerCAmelCase					)					)
										lines.append(""" """ * label_size + """| """ * len(lowerCAmelCase					)					)

										while len(node.forward					) != 0:
														lowerCAmelCase  =				node.forward[0]

														lines.append(
														    f'''[{node.key}]'''.ljust(lowerCAmelCase						,						"""-"""					)
														    + """ """.join(str(n.key					) if n.key == node.key else """|""" for n in forwards					)					)
														lines.append(""" """ * label_size + """| """ * len(lowerCAmelCase					)					)
														lowerCAmelCase  =				node.forward

										lines.append("""None""".ljust(lowerCAmelCase					) + """* """ * len(lowerCAmelCase					)					)
										return f'''SkipList(level={self.level})\n''' + "\n".join(lowerCAmelCase					)


						def __iter__(							self				:			List[str]					):
										lowerCAmelCase  =				self.head

										while len(node.forward					) != 0:
														yield node.forward[0].key
														lowerCAmelCase  =				node.forward[0]


						def   __lowercase (							self				:			str					):
										lowerCAmelCase  =				1
										while random() < self.p and level < self.max_level:
														level += 1

										return level


						def   __lowercase (							self				:			Optional[Any]						,						lowerCAmelCase				:			Any					):
										lowerCAmelCase  =				[]

										lowerCAmelCase  =				self.head

										for i in reversed(range(self.level					)					):
														# i < node.level - When node level is lesser than `i` decrement `i`.
														# node.forward[i].key < key - Jumping to node with key value higher
														#                             or equal to searched key would result
														#                             in skipping searched key.
														while i < node.level and node.forward[i].key < key:
																		lowerCAmelCase  =				node.forward[i]
														# Each leftmost node (relative to searched node) will potentially have to
														# be updated.
														update_vector.append(lowerCAmelCase					)

										update_vector.reverse()  # Note that we were inserting values in reverse order.

										# len(node.forward) != 0 - If current node doesn't contain any further
										#                          references then searched key is not present.
										# node.forward[0].key == key - Next node key should be equal to search key
										#                              if key is present.
										if len(node.forward					) != 0 and node.forward[0].key == key:
														return node.forward[0], update_vector
										else:
														return None, update_vector


						def   __lowercase (							self				:			Union[str, Any]						,						lowerCAmelCase				:			KT					):
										lowerCAmelCase ,						lowerCAmelCase  =				self._locate_node(lowerCAmelCase					)

										if node is not None:
														for i, update_node in enumerate(lowerCAmelCase					):
																		# Remove or replace all references to removed node.
																		if update_node.level > i and update_node.forward[i].key == key:
																						if node.level > i:
																										lowerCAmelCase  =				node.forward[i]
																						else:
																										lowerCAmelCase  =				update_node.forward[:i]


						def   __lowercase (							self				:			List[str]						,						lowerCAmelCase				:			KT						,						lowerCAmelCase				:			VT					):
										lowerCAmelCase ,						lowerCAmelCase  =				self._locate_node(lowerCAmelCase					)
										if node is not None:
														lowerCAmelCase  =				value
										else:
														lowerCAmelCase  =				self.random_level()

														if level > self.level:
																		# After level increase we have to add additional nodes to head.
																		for _ in range(self.level - 1						,						lowerCAmelCase					):
																						update_vector.append(self.head					)
																		lowerCAmelCase  =				level

														lowerCAmelCase  =				Node(lowerCAmelCase						,						lowerCAmelCase					)

														for i, update_node in enumerate(update_vector[:level]					):
																		# Change references to pass through new node.
																		if update_node.level > i:
																						new_node.forward.append(update_node.forward[i]					)

																		if update_node.level < i + 1:
																						update_node.forward.append(lowerCAmelCase					)
																		else:
																						lowerCAmelCase  =				new_node




						def   __lowercase (							self				:			Dict						,						lowerCAmelCase				:			VT					):
										lowerCAmelCase ,						lowerCAmelCase  =				self._locate_node(lowerCAmelCase					)

										if node is not None:
														return node.value

										return None





def 							lowercase					()     ->  Dict:


				'''simple docstring'''






				lowerCAmelCase  =				SkipList()
				skip_list.insert("""Key1"""      ,       3 )
				skip_list.insert("""Key2"""      ,       12 )
				skip_list.insert("""Key3"""      ,       41 )
				skip_list.insert("""Key4"""      ,       -19 )

				lowerCAmelCase  =				skip_list.head
				lowerCAmelCase  =				{}
				while node.level != 0:
								lowerCAmelCase  =				node.forward[0]
								lowerCAmelCase  =				node.value

				assert len(snake_case__ ) == 4
				assert all_values["Key1"] == 3
				assert all_values["Key2"] == 12
				assert all_values["Key3"] == 41
				assert all_values["Key4"] == -19





def 							lowercase					()     ->  Optional[Any]:


				'''simple docstring'''






				lowerCAmelCase  =				SkipList()
				skip_list.insert("""Key1"""      ,       10 )
				skip_list.insert("""Key1"""      ,       12 )

				skip_list.insert("""Key5"""      ,       7 )
				skip_list.insert("""Key7"""      ,       10 )
				skip_list.insert("""Key10"""      ,       5 )

				skip_list.insert("""Key7"""      ,       7 )
				skip_list.insert("""Key5"""      ,       5 )
				skip_list.insert("""Key10"""      ,       10 )

				lowerCAmelCase  =				skip_list.head
				lowerCAmelCase  =				{}
				while node.level != 0:
								lowerCAmelCase  =				node.forward[0]
								lowerCAmelCase  =				node.value

				if len(snake_case__ ) != 4:
								print()
				assert len(snake_case__ ) == 4
				assert all_values["Key1"] == 12
				assert all_values["Key7"] == 7
				assert all_values["Key5"] == 5
				assert all_values["Key10"] == 10





def 							lowercase					()     ->  Tuple:


				'''simple docstring'''






				lowerCAmelCase  =				SkipList()
				assert skip_list.find("""Some key""" ) is None





def 							lowercase					()     ->  Tuple:


				'''simple docstring'''






				lowerCAmelCase  =				SkipList()

				skip_list.insert("""Key2"""      ,       20 )
				assert skip_list.find("""Key2""" ) == 20

				skip_list.insert("""Some Key"""      ,       10 )
				skip_list.insert("""Key2"""      ,       8 )
				skip_list.insert("""V"""      ,       13 )

				assert skip_list.find("""Y""" ) is None
				assert skip_list.find("""Key2""" ) == 8
				assert skip_list.find("""Some Key""" ) == 10
				assert skip_list.find("""V""" ) == 13





def 							lowercase					()     ->  Optional[Any]:


				'''simple docstring'''






				lowerCAmelCase  =				SkipList()
				skip_list.delete("""Some key""" )

				assert len(skip_list.head.forward ) == 0





def 							lowercase					()     ->  int:


				'''simple docstring'''






				lowerCAmelCase  =				SkipList()

				skip_list.insert("""Key1"""      ,       12 )
				skip_list.insert("""V"""      ,       13 )
				skip_list.insert("""X"""      ,       14 )
				skip_list.insert("""Key2"""      ,       15 )

				skip_list.delete("""V""" )
				skip_list.delete("""Key2""" )

				assert skip_list.find("""V""" ) is None
				assert skip_list.find("""Key2""" ) is None





def 							lowercase					()     ->  List[Any]:


				'''simple docstring'''






				lowerCAmelCase  =				SkipList()

				skip_list.insert("""Key1"""      ,       12 )
				skip_list.insert("""V"""      ,       13 )
				skip_list.insert("""X"""      ,       14 )
				skip_list.insert("""Key2"""      ,       15 )

				skip_list.delete("""V""" )
				assert skip_list.find("""V""" ) is None
				assert skip_list.find("""X""" ) == 14
				assert skip_list.find("""Key1""" ) == 12
				assert skip_list.find("""Key2""" ) == 15

				skip_list.delete("""X""" )
				assert skip_list.find("""V""" ) is None
				assert skip_list.find("""X""" ) is None
				assert skip_list.find("""Key1""" ) == 12
				assert skip_list.find("""Key2""" ) == 15

				skip_list.delete("""Key1""" )
				assert skip_list.find("""V""" ) is None
				assert skip_list.find("""X""" ) is None
				assert skip_list.find("""Key1""" ) is None
				assert skip_list.find("""Key2""" ) == 15

				skip_list.delete("""Key2""" )
				assert skip_list.find("""V""" ) is None
				assert skip_list.find("""X""" ) is None
				assert skip_list.find("""Key1""" ) is None
				assert skip_list.find("""Key2""" ) is None





def 							lowercase					()     ->  Tuple:


				'''simple docstring'''






				lowerCAmelCase  =				SkipList()

				skip_list.insert("""Key1"""      ,       12 )
				skip_list.insert("""V"""      ,       13 )
				skip_list.insert("""X"""      ,       142 )
				skip_list.insert("""Key2"""      ,       15 )

				skip_list.delete("""X""" )

				def traverse_keys(snake_case__   : Tuple ):
								yield node.key
								for forward_node in node.forward:
												yield from traverse_keys(snake_case__ )

				assert len(set(traverse_keys(skip_list.head ) ) ) == 4





def 							lowercase					()     ->  str:


				'''simple docstring'''






				def is_sorted(snake_case__   : Union[str, Any] ):
								return all(next_item >= item for item, next_item in zip(snake_case__      ,       lst[1:] ) )

				lowerCAmelCase  =				SkipList()
				for i in range(10 ):
								skip_list.insert(snake_case__      ,       snake_case__ )
				assert is_sorted(list(snake_case__ ) )
				skip_list.delete(5 )
				skip_list.delete(8 )
				skip_list.delete(2 )
				assert is_sorted(list(snake_case__ ) )
				skip_list.insert(-12      ,       -12 )
				skip_list.insert(77      ,       77 )
				assert is_sorted(list(snake_case__ ) )





def 							lowercase					()     ->  Union[str, Any]:


				'''simple docstring'''






				for _ in range(100 ):
								# Repeat test 100 times due to the probabilistic nature of skip list
								# random values == random bugs
								test_insert()
								test_insert_overrides_existing_value()

								test_searching_empty_list_returns_none()
								test_search()

								test_deleting_item_from_empty_list_do_nothing()
								test_deleted_items_are_not_founded_by_find_method()
								test_delete_removes_only_given_key()
								test_delete_doesnt_leave_dead_nodes()

								test_iter_always_yields_sorted_values()





def 							lowercase					()     ->  Optional[int]:


				'''simple docstring'''






				lowerCAmelCase  =				SkipList()
				skip_list.insert(2      ,       """2""" )
				skip_list.insert(4      ,       """4""" )
				skip_list.insert(6      ,       """4""" )
				skip_list.insert(4      ,       """5""" )
				skip_list.insert(8      ,       """4""" )
				skip_list.insert(9      ,       """4""" )

				skip_list.delete(4 )

				print(snake_case__ )


if __name__ == "__main__":
		import doctest

		doctest.testmod()
		main()











"""simple docstring"""







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

from .attention_flax import FlaxTransformeraDModel
from .resnet_flax import FlaxDownsampleaD, FlaxResnetBlockaD, FlaxUpsampleaD






class       SCREAMING_SNAKE_CASE__					(					nn.Module					):
						_a    						=						42
						_a    						=						42
						_a    						=						0.0
						_a    						=						1
						_a    						=						1
						_a    						=						True
						_a    						=						False
						_a    						=						False
						_a    						=						False
						_a    						=						jnp.floataa


						def   __lowercase (							self				:			List[str]					):
										lowerCAmelCase  =				[]
										lowerCAmelCase  =				[]

										for i in range(self.num_layers					):
														lowerCAmelCase  =				self.in_channels if i == 0 else self.out_channels

														lowerCAmelCase  =				FlaxResnetBlockaD(
														    in_channels=lowerCAmelCase						,						out_channels=self.out_channels						,						dropout_prob=self.dropout						,						dtype=self.dtype						,						)
														resnets.append(lowerCAmelCase					)

														lowerCAmelCase  =				FlaxTransformeraDModel(
														    in_channels=self.out_channels						,						n_heads=self.num_attention_heads						,						d_head=self.out_channels // self.num_attention_heads						,						depth=1						,						use_linear_projection=self.use_linear_projection						,						only_cross_attention=self.only_cross_attention						,						use_memory_efficient_attention=self.use_memory_efficient_attention						,						dtype=self.dtype						,						)
														attentions.append(lowerCAmelCase					)

										lowerCAmelCase  =				resnets
										lowerCAmelCase  =				attentions

										if self.add_downsample:
														lowerCAmelCase  =				FlaxDownsampleaD(self.out_channels						,						dtype=self.dtype					)




						def __call__(							self				:			Tuple						,						lowerCAmelCase				:			str						,						lowerCAmelCase				:			Union[str, Any]						,						lowerCAmelCase				:			Tuple						,						lowerCAmelCase				:			int=True					):
										lowerCAmelCase  =				()

										for resnet, attn in zip(self.resnets						,						self.attentions					):
														lowerCAmelCase  =				resnet(lowerCAmelCase						,						lowerCAmelCase						,						deterministic=lowerCAmelCase					)
														lowerCAmelCase  =				attn(lowerCAmelCase						,						lowerCAmelCase						,						deterministic=lowerCAmelCase					)
														output_states += (hidden_states,)

										if self.add_downsample:
														lowerCAmelCase  =				self.downsamplers_a(lowerCAmelCase					)
														output_states += (hidden_states,)

										return hidden_states, output_states






class       SCREAMING_SNAKE_CASE__					(					nn.Module					):
						_a    						=						42
						_a    						=						42
						_a    						=						0.0
						_a    						=						1
						_a    						=						True
						_a    						=						jnp.floataa


						def   __lowercase (							self				:			Union[str, Any]					):
										lowerCAmelCase  =				[]

										for i in range(self.num_layers					):
														lowerCAmelCase  =				self.in_channels if i == 0 else self.out_channels

														lowerCAmelCase  =				FlaxResnetBlockaD(
														    in_channels=lowerCAmelCase						,						out_channels=self.out_channels						,						dropout_prob=self.dropout						,						dtype=self.dtype						,						)
														resnets.append(lowerCAmelCase					)
										lowerCAmelCase  =				resnets

										if self.add_downsample:
														lowerCAmelCase  =				FlaxDownsampleaD(self.out_channels						,						dtype=self.dtype					)




						def __call__(							self				:			int						,						lowerCAmelCase				:			Any						,						lowerCAmelCase				:			Any						,						lowerCAmelCase				:			List[str]=True					):
										lowerCAmelCase  =				()

										for resnet in self.resnets:
														lowerCAmelCase  =				resnet(lowerCAmelCase						,						lowerCAmelCase						,						deterministic=lowerCAmelCase					)
														output_states += (hidden_states,)

										if self.add_downsample:
														lowerCAmelCase  =				self.downsamplers_a(lowerCAmelCase					)
														output_states += (hidden_states,)

										return hidden_states, output_states






class       SCREAMING_SNAKE_CASE__					(					nn.Module					):
						_a    						=						42
						_a    						=						42
						_a    						=						42
						_a    						=						0.0
						_a    						=						1
						_a    						=						1
						_a    						=						True
						_a    						=						False
						_a    						=						False
						_a    						=						False
						_a    						=						jnp.floataa


						def   __lowercase (							self				:			List[str]					):
										lowerCAmelCase  =				[]
										lowerCAmelCase  =				[]

										for i in range(self.num_layers					):
														lowerCAmelCase  =				self.in_channels if (i == self.num_layers - 1) else self.out_channels
														lowerCAmelCase  =				self.prev_output_channel if i == 0 else self.out_channels

														lowerCAmelCase  =				FlaxResnetBlockaD(
														    in_channels=resnet_in_channels + res_skip_channels						,						out_channels=self.out_channels						,						dropout_prob=self.dropout						,						dtype=self.dtype						,						)
														resnets.append(lowerCAmelCase					)

														lowerCAmelCase  =				FlaxTransformeraDModel(
														    in_channels=self.out_channels						,						n_heads=self.num_attention_heads						,						d_head=self.out_channels // self.num_attention_heads						,						depth=1						,						use_linear_projection=self.use_linear_projection						,						only_cross_attention=self.only_cross_attention						,						use_memory_efficient_attention=self.use_memory_efficient_attention						,						dtype=self.dtype						,						)
														attentions.append(lowerCAmelCase					)

										lowerCAmelCase  =				resnets
										lowerCAmelCase  =				attentions

										if self.add_upsample:
														lowerCAmelCase  =				FlaxUpsampleaD(self.out_channels						,						dtype=self.dtype					)




						def __call__(							self				:			Optional[Any]						,						lowerCAmelCase				:			Tuple						,						lowerCAmelCase				:			Dict						,						lowerCAmelCase				:			List[Any]						,						lowerCAmelCase				:			Any						,						lowerCAmelCase				:			Dict=True					):
										for resnet, attn in zip(self.resnets						,						self.attentions					):
														# pop res hidden states
														lowerCAmelCase  =				res_hidden_states_tuple[-1]
														lowerCAmelCase  =				res_hidden_states_tuple[:-1]
														lowerCAmelCase  =				jnp.concatenate((hidden_states, res_hidden_states)						,						axis=-1					)

														lowerCAmelCase  =				resnet(lowerCAmelCase						,						lowerCAmelCase						,						deterministic=lowerCAmelCase					)
														lowerCAmelCase  =				attn(lowerCAmelCase						,						lowerCAmelCase						,						deterministic=lowerCAmelCase					)

										if self.add_upsample:
														lowerCAmelCase  =				self.upsamplers_a(lowerCAmelCase					)

										return hidden_states






class       SCREAMING_SNAKE_CASE__					(					nn.Module					):
						_a    						=						42
						_a    						=						42
						_a    						=						42
						_a    						=						0.0
						_a    						=						1
						_a    						=						True
						_a    						=						jnp.floataa


						def   __lowercase (							self				:			Tuple					):
										lowerCAmelCase  =				[]

										for i in range(self.num_layers					):
														lowerCAmelCase  =				self.in_channels if (i == self.num_layers - 1) else self.out_channels
														lowerCAmelCase  =				self.prev_output_channel if i == 0 else self.out_channels

														lowerCAmelCase  =				FlaxResnetBlockaD(
														    in_channels=resnet_in_channels + res_skip_channels						,						out_channels=self.out_channels						,						dropout_prob=self.dropout						,						dtype=self.dtype						,						)
														resnets.append(lowerCAmelCase					)

										lowerCAmelCase  =				resnets

										if self.add_upsample:
														lowerCAmelCase  =				FlaxUpsampleaD(self.out_channels						,						dtype=self.dtype					)




						def __call__(							self				:			Optional[Any]						,						lowerCAmelCase				:			Optional[Any]						,						lowerCAmelCase				:			List[str]						,						lowerCAmelCase				:			List[str]						,						lowerCAmelCase				:			Dict=True					):
										for resnet in self.resnets:
														# pop res hidden states
														lowerCAmelCase  =				res_hidden_states_tuple[-1]
														lowerCAmelCase  =				res_hidden_states_tuple[:-1]
														lowerCAmelCase  =				jnp.concatenate((hidden_states, res_hidden_states)						,						axis=-1					)

														lowerCAmelCase  =				resnet(lowerCAmelCase						,						lowerCAmelCase						,						deterministic=lowerCAmelCase					)

										if self.add_upsample:
														lowerCAmelCase  =				self.upsamplers_a(lowerCAmelCase					)

										return hidden_states






class       SCREAMING_SNAKE_CASE__					(					nn.Module					):
						_a    						=						42
						_a    						=						0.0
						_a    						=						1
						_a    						=						1
						_a    						=						False
						_a    						=						False
						_a    						=						jnp.floataa


						def   __lowercase (							self				:			List[Any]					):
										# there is always at least one resnet
										lowerCAmelCase  =				[
										    FlaxResnetBlockaD(
										        in_channels=self.in_channels						,						out_channels=self.in_channels						,						dropout_prob=self.dropout						,						dtype=self.dtype						,						)
										]

										lowerCAmelCase  =				[]

										for _ in range(self.num_layers					):
														lowerCAmelCase  =				FlaxTransformeraDModel(
														    in_channels=self.in_channels						,						n_heads=self.num_attention_heads						,						d_head=self.in_channels // self.num_attention_heads						,						depth=1						,						use_linear_projection=self.use_linear_projection						,						use_memory_efficient_attention=self.use_memory_efficient_attention						,						dtype=self.dtype						,						)
														attentions.append(lowerCAmelCase					)

														lowerCAmelCase  =				FlaxResnetBlockaD(
														    in_channels=self.in_channels						,						out_channels=self.in_channels						,						dropout_prob=self.dropout						,						dtype=self.dtype						,						)
														resnets.append(lowerCAmelCase					)

										lowerCAmelCase  =				resnets
										lowerCAmelCase  =				attentions




						def __call__(							self				:			Optional[int]						,						lowerCAmelCase				:			List[str]						,						lowerCAmelCase				:			int						,						lowerCAmelCase				:			Dict						,						lowerCAmelCase				:			List[Any]=True					):
										lowerCAmelCase  =				self.resnets[0](lowerCAmelCase						,						lowerCAmelCase					)
										for attn, resnet in zip(self.attentions						,						self.resnets[1:]					):
														lowerCAmelCase  =				attn(lowerCAmelCase						,						lowerCAmelCase						,						deterministic=lowerCAmelCase					)
														lowerCAmelCase  =				resnet(lowerCAmelCase						,						lowerCAmelCase						,						deterministic=lowerCAmelCase					)

										return hidden_states





