




"""simple docstring"""


from __future__ import annotations

from random import random
from typing import Generic, TypeVar

A_      =    TypeVar('''KT''')
A_      =    TypeVar('''VT''')






class  lowercase(					Generic[KT, VT]			):







 '''simple docstring'''





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




   '''simple docstring'''



   _snake_case							:		Tuple								=  key
   _snake_case							:		Any								=  value
   _snake_case							:		list[Node[KT, VT]]								=  []


 def __repr__(    self:		int		):




   '''simple docstring'''



   return f"Node({self.key}: {self.value})"


 @property
 def 			UpperCamelCase_       (    self:		Tuple		):




   '''simple docstring'''



   return len(self.forward		)







class  lowercase(					Generic[KT, VT]			):







 '''simple docstring'''





 def __init__(    self:		Dict,				a_:		float = 0.5,				a_:		int = 16		):




   '''simple docstring'''



   _snake_case							:		Node[KT, VT]								=  Node[KT, VT]()
   _snake_case							:		List[Any]								=  0
   _snake_case							:		Optional[int]								=  p
   _snake_case							:		str								=  max_level


 def __str__(    self:		str		):




   '''simple docstring'''



   _snake_case							:		Optional[int]								=  list(self		)

   if len(a_		) == 0:
     return f"SkipList(level={self.level})"

   _snake_case							:		List[str]								=  max((len(str(a_		)		) for item in items),				default=4		)
   _snake_case							:		Any								=  max(a_,				4		) + 4

   _snake_case							:		str								=  self.head
   _snake_case							:		List[str]								=  []

   _snake_case							:		Union[str, Any]								=  node.forward.copy()
   lines.append(f"[{node.key}]".ljust(a_,				"""-"""		) + """* """ * len(a_		)		)
   lines.append(""" """ * label_size + """| """ * len(a_		)		)

   while len(node.forward		) != 0:
     _snake_case							:		Union[str, Any]								=  node.forward[0]

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

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


 def __iter__(    self:		Any		):




   '''simple docstring'''



   _snake_case							:		List[Any]								=  self.head

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


 def 			UpperCamelCase_       (    self:		str		):




   '''simple docstring'''



   _snake_case							:		List[Any]								=  1
   while random() < self.p and level < self.max_level:
     level += 1

   return level


 def 			UpperCamelCase_       (    self:		Tuple,				a_:		Optional[Any]		):




   '''simple docstring'''



   _snake_case							:		Any								=  []

   _snake_case							:		List[str]								=  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:
       _snake_case							:		Tuple								=  node.forward[i]
     # Each leftmost node (relative to searched node) will potentially have to
     # be updated.
     update_vector.append(a_		)

   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 			UpperCamelCase_       (    self:		Optional[int],				a_:		KT		):




   '''simple docstring'''



   _snake_case		, _snake_case							:		Optional[int]								=  self._locate_node(a_		)

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


 def 			UpperCamelCase_       (    self:		Tuple,				a_:		KT,				a_:		VT		):




   '''simple docstring'''



   _snake_case		, _snake_case							:		str								=  self._locate_node(a_		)
   if node is not None:
     _snake_case							:		Optional[int]								=  value
   else:
     _snake_case							:		List[str]								=  self.random_level()

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

     _snake_case							:		Optional[Any]								=  Node(a_,				a_		)

     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(a_		)
       else:
         _snake_case							:		Dict								=  new_node


 def 			UpperCamelCase_       (    self:		int,				a_:		VT		):




   '''simple docstring'''



   _snake_case		, _snake_case							:		Optional[Any]								=  self._locate_node(a_		)

   if node is not None:
     return node.value

   return None







def  UpperCAmelCase__	():
  """simple docstring"""

  _snake_case							:		Union[str, Any]								=  SkipList()
  skip_list.insert("""Key1"""		,       3   )
  skip_list.insert("""Key2"""		,       12   )
  skip_list.insert("""Key3"""		,       41   )
  skip_list.insert("""Key4"""		,       -19   )

  _snake_case							:		List[str]								=  skip_list.head
  _snake_case							:		Any								=  {}
  while node.level != 0:
    _snake_case							:		Union[str, Any]								=  node.forward[0]
    _snake_case							:		Tuple								=  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  UpperCAmelCase__	():
  """simple docstring"""

  _snake_case							:		Tuple								=  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   )

  _snake_case							:		Optional[int]								=  skip_list.head
  _snake_case							:		int								=  {}
  while node.level != 0:
    _snake_case							:		Dict								=  node.forward[0]
    _snake_case							:		Any								=  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  UpperCAmelCase__	():
  """simple docstring"""

  _snake_case							:		List[Any]								=  SkipList()
  assert skip_list.find("""Some key"""   ) is None


def  UpperCAmelCase__	():
  """simple docstring"""

  _snake_case							:		int								=  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  UpperCAmelCase__	():
  """simple docstring"""

  _snake_case							:		Tuple								=  SkipList()
  skip_list.delete("""Some key"""   )

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


def  UpperCAmelCase__	():
  """simple docstring"""

  _snake_case							:		List[Any]								=  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  UpperCAmelCase__	():
  """simple docstring"""

  _snake_case							:		Dict								=  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  UpperCAmelCase__	():
  """simple docstring"""

  _snake_case							:		Dict								=  SkipList()

  skip_list.insert("""Key1"""		,       12   )
  skip_list.insert("""V"""		,       13   )
  skip_list.insert("""X"""		,       1_42   )
  skip_list.insert("""Key2"""		,       15   )

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

  def traverse_keys(snake_case__							: Optional[Any]   ):
    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  UpperCAmelCase__	():
  """simple docstring"""

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

  _snake_case							:		Optional[int]								=  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  UpperCAmelCase__	():
  """simple docstring"""

  for _ in range(1_00   ):
    # 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  UpperCAmelCase__	():
  """simple docstring"""

  _snake_case							:		List[Any]								=  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"""


from typing import List, Optional, Tuple, Union

import torch

from ...utils import logging, randn_tensor
from ..pipeline_utils import AudioPipelineOutput, DiffusionPipeline


A_      =    logging.get_logger(__name__)  # pylint: disable=invalid-name






class  lowercase(					__a			):







 '''simple docstring'''





 def __init__(    self:		Optional[int],				a_:		str,				a_:		Optional[Any]		):




   '''simple docstring'''



   super().__init__()
   self.register_modules(unet=a_,				scheduler=a_		)


 @torch.no_grad()
 def __call__(    self:		Any,				a_:		int = 1,				a_:		int = 100,				a_:		Optional[Union[torch.Generator, List[torch.Generator]]] = None,				a_:		Optional[float] = None,				a_:		bool = True,				):




   '''simple docstring'''



   if audio_length_in_s is None:
     _snake_case							:		Dict								=  self.unet.config.sample_size / self.unet.config.sample_rate

   _snake_case							:		Optional[int]								=  audio_length_in_s * self.unet.config.sample_rate

   _snake_case							:		int								=  2 ** len(self.unet.up_blocks		)
   if sample_size < 3 * down_scale_factor:
     raise ValueError(
         f"{audio_length_in_s} is too small. Make sure it's bigger or equal to"
         f" {3 * down_scale_factor / self.unet.config.sample_rate}."		)

   _snake_case							:		Union[str, Any]								=  int(a_		)
   if sample_size % down_scale_factor != 0:
     _snake_case							:		Optional[Any]								=  (
         (audio_length_in_s * self.unet.config.sample_rate) // down_scale_factor + 1
     ) * down_scale_factor
     logger.info(
         f"{audio_length_in_s} is increased to {sample_size / self.unet.config.sample_rate} so that it can be handled"
         f" by the model. It will be cut to {original_sample_size / self.unet.config.sample_rate} after the denoising"
         """ process."""		)
   _snake_case							:		str								=  int(a_		)

   _snake_case							:		int								=  next(iter(self.unet.parameters()		)		).dtype
   _snake_case							:		Optional[Any]								=  (batch_size, self.unet.config.in_channels, sample_size)
   if isinstance(a_,				a_		) and len(a_		) != batch_size:
     raise ValueError(
         f"You have passed a list of generators of length {len(a_		)}, but requested an effective batch"
         f" size of {batch_size}. Make sure the batch size matches the length of the generators."		)

   _snake_case							:		Optional[Any]								=  randn_tensor(a_,				generator=a_,				device=self.device,				dtype=a_		)

   # set step values
   self.scheduler.set_timesteps(a_,				device=audio.device		)
   _snake_case							:		Optional[int]								=  self.scheduler.timesteps.to(a_		)

   for t in self.progress_bar(self.scheduler.timesteps		):
     # 1. predict noise model_output
     _snake_case							:		str								=  self.unet(a_,				a_		).sample

     # 2. compute previous image: x_t -> t_t-1
     _snake_case							:		Optional[Any]								=  self.scheduler.step(a_,				a_,				a_		).prev_sample

   _snake_case							:		Tuple								=  audio.clamp(-1,				1		).float().cpu().numpy()

   _snake_case							:		Dict								=  audio[:, :, :original_sample_size]

   if not return_dict:
     return (audio,)

   return AudioPipelineOutput(audios=a_		)


