



"""simple docstring"""
from __future__ import annotations

from random import random
from typing import Generic, TypeVar

UpperCAmelCase						:		str			= TypeVar("KT")
UpperCAmelCase						:		Union[str, Any]			= TypeVar("VT")


class    SCREAMING_SNAKE_CASE__ (							Generic[KT, VT]   ):

    def __init__(				self			:				str ,  lowerCAmelCase_			:				KT | str = "root" ,  lowerCAmelCase_			:				VT | None = None):







      """simple docstring"""







      lowercase_								= key
      lowercase_								= value
      lowercase_								= []

    def __repr__(				self			:				List[str]):







      """simple docstring"""







      return F'''Node({self.key}: {self.value})'''




    @property
    def 					_UpperCAmelCase	(				self			:				str):







      """simple docstring"""







      return len(self.forward)







class    SCREAMING_SNAKE_CASE__ (							Generic[KT, VT]   ):

    def __init__(				self			:				Dict ,  lowerCAmelCase_			:				float = 0.5 ,  lowerCAmelCase_			:				int = 1_6):







      """simple docstring"""







      lowercase_								= Node[KT, VT]()
      lowercase_								= 0
      lowercase_								= p
      lowercase_								= max_level

    def __str__(				self			:				List[str]):







      """simple docstring"""







      lowercase_								= list(self)

      if len(lowerCAmelCase_) == 0:
        return F'''SkipList(level={self.level})'''

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

      lowercase_								= self.head
      lowercase_								= []

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

      while len(node.forward) != 0:
        lowercase_								= 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_))
        lowercase_								= node.forward

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

    def __iter__(				self			:				Dict):







      """simple docstring"""







      lowercase_								= self.head

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

    def 					_UpperCAmelCase	(				self			:				Union[str, Any]):







      """simple docstring"""







      lowercase_								= 1
      while random() < self.p and level < self.max_level:
        level += 1

      return level

    def 					_UpperCAmelCase	(				self			:				Optional[Any] ,  lowerCAmelCase_			:				Optional[Any]):







      """simple docstring"""







      lowercase_								= []

      lowercase_								= 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:
          lowercase_								= 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 					_UpperCAmelCase	(				self			:				Union[str, Any] ,  lowerCAmelCase_			:				KT):







      """simple docstring"""







      lowercase_					,    lowercase_								= 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:
              lowercase_								= node.forward[i]
            else:
              lowercase_								= update_node.forward[:i]

    def 					_UpperCAmelCase	(				self			:				List[Any] ,  lowerCAmelCase_			:				KT ,  lowerCAmelCase_			:				VT):







      """simple docstring"""







      lowercase_					,    lowercase_								= self._locate_node(lowerCAmelCase_)
      if node is not None:
        lowercase_								= value
      else:
        lowercase_								= 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)
          lowercase_								= level

        lowercase_								= 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:
            lowercase_								= new_node




    def 					_UpperCAmelCase	(				self			:				List[Any] ,  lowerCAmelCase_			:				VT):







      """simple docstring"""







      lowercase_					,    lowercase_								= self._locate_node(lowerCAmelCase_)

      if node is not None:
        return node.value

      return None







def 			_SCREAMING_SNAKE_CASE						() ->						Optional[Any]:







  '''simple docstring'''


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

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

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


def 			_SCREAMING_SNAKE_CASE						() ->						Dict:







  '''simple docstring'''


  lowercase_								= 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							)

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

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


def 			_SCREAMING_SNAKE_CASE						() ->						Tuple:







  '''simple docstring'''


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


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







  '''simple docstring'''


  lowercase_								= 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 			_SCREAMING_SNAKE_CASE						() ->						List[str]:







  '''simple docstring'''


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

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


def 			_SCREAMING_SNAKE_CASE						() ->						Dict:







  '''simple docstring'''


  lowercase_								= 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 			_SCREAMING_SNAKE_CASE						() ->						Optional[int]:







  '''simple docstring'''


  lowercase_								= 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 			_SCREAMING_SNAKE_CASE						() ->						int:







  '''simple docstring'''


  lowercase_								= 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(__lowerCAmelCase							):
    yield node.key
    for forward_node in node.forward:
      yield from traverse_keys(__lowerCAmelCase							)

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


def 			_SCREAMING_SNAKE_CASE						() ->						Optional[int]:







  '''simple docstring'''


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

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


def 			_SCREAMING_SNAKE_CASE						() ->						Optional[Any]:







  '''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 			_SCREAMING_SNAKE_CASE						() ->						Any:







  '''simple docstring'''


  lowercase_								= 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(__lowerCAmelCase							)


if __name__ == "__main__":
       import doctest

       doctest.testmod()
       main()






"""simple docstring"""
from typing import Any, Dict, List, Union

from ..utils import add_end_docstrings, is_torch_available, is_vision_available, logging, requires_backends
from .base import PIPELINE_INIT_ARGS, ChunkPipeline


if is_vision_available():
       from PIL import Image

       from ..image_utils import load_image

if is_torch_available():
       import torch

       from transformers.modeling_outputs import BaseModelOutput

       from ..models.auto.modeling_auto import MODEL_FOR_ZERO_SHOT_OBJECT_DETECTION_MAPPING

UpperCAmelCase						:		Optional[Any]			= logging.get_logger(__name__)


@add_end_docstrings(__UpperCAmelCase   )
class    SCREAMING_SNAKE_CASE__ (							__UpperCAmelCase   ):

    def __init__(				self			:				Optional[int] ,  **lowerCAmelCase_			:				List[Any]):







      """simple docstring"""







      super().__init__(**lowerCAmelCase_)

      if self.framework == "tf":
        raise ValueError(F'''The {self.__class__} is only available in PyTorch.''')

      requires_backends(self ,  """vision""")
      self.check_model_type(lowerCAmelCase_)

    def __call__(				self			:				Dict ,  lowerCAmelCase_			:				Union[str, "Image.Image", List[Dict[str, Any]]] ,  lowerCAmelCase_			:				Union[str, List[str]] = None ,  **lowerCAmelCase_			:				Dict ,  ):







      """simple docstring"""







      if "text_queries" in kwargs:
        lowercase_								= kwargs.pop("""text_queries""")

      if isinstance(lowerCAmelCase_ ,  (str, Image.Image)):
        lowercase_								= {"""image""": image, """candidate_labels""": candidate_labels}
      else:
        lowercase_								= image
      lowercase_								= super().__call__(lowerCAmelCase_ ,  **lowerCAmelCase_)
      return results

    def 					_UpperCAmelCase	(				self			:				Optional[Any] ,  **lowerCAmelCase_			:				Optional[Any]):







      """simple docstring"""







      lowercase_								= {}
      if "threshold" in kwargs:
        lowercase_								= kwargs["""threshold"""]
      if "top_k" in kwargs:
        lowercase_								= kwargs["""top_k"""]
      return {}, {}, postprocess_params

    def 					_UpperCAmelCase	(				self			:				int ,  lowerCAmelCase_			:				List[Any]):







      """simple docstring"""







      lowercase_								= load_image(inputs["""image"""])
      lowercase_								= inputs["""candidate_labels"""]
      if isinstance(lowerCAmelCase_ ,  lowerCAmelCase_):
        lowercase_								= candidate_labels.split(""",""")

      lowercase_								= torch.tensor([[image.height, image.width]] ,  dtype=torch.intaa)
      for i, candidate_label in enumerate(lowerCAmelCase_):
        lowercase_								= self.tokenizer(lowerCAmelCase_ ,  return_tensors=self.framework)
        lowercase_								= self.image_processor(lowerCAmelCase_ ,  return_tensors=self.framework)
        yield {
            "is_last": i == len(lowerCAmelCase_) - 1,
            "target_size": target_size,
            "candidate_label": candidate_label,
            **text_inputs,
            **image_features,
        }

    def 					_UpperCAmelCase	(				self			:				List[Any] ,  lowerCAmelCase_			:				List[Any]):







      """simple docstring"""







      lowercase_								= model_inputs.pop("""target_size""")
      lowercase_								= model_inputs.pop("""candidate_label""")
      lowercase_								= model_inputs.pop("""is_last""")

      lowercase_								= self.model(**lowerCAmelCase_)

      lowercase_								= {"""target_size""": target_size, """candidate_label""": candidate_label, """is_last""": is_last, **outputs}
      return model_outputs

    def 					_UpperCAmelCase	(				self			:				int ,  lowerCAmelCase_			:				Optional[int] ,  lowerCAmelCase_			:				Tuple=0.1 ,  lowerCAmelCase_			:				List[str]=None):







      """simple docstring"""







      lowercase_								= []
      for model_output in model_outputs:
        lowercase_								= model_output["""candidate_label"""]
        lowercase_								= BaseModelOutput(lowerCAmelCase_)
        lowercase_								= self.image_processor.post_process_object_detection(
            outputs=lowerCAmelCase_ ,  threshold=lowerCAmelCase_ ,  target_sizes=model_output["""target_size"""])[0]

        for index in outputs["scores"].nonzero():
          lowercase_								= outputs["""scores"""][index].item()
          lowercase_								= self._get_bounding_box(outputs["""boxes"""][index][0])

          lowercase_								= {"""score""": score, """label""": label, """box""": box}
          results.append(lowerCAmelCase_)

      lowercase_								= sorted(lowerCAmelCase_ ,  key=lambda lowerCAmelCase_: x["score"] ,  reverse=lowerCAmelCase_)
      if top_k:
        lowercase_								= results[:top_k]

      return results




    def 					_UpperCAmelCase	(				self			:				Union[str, Any] ,  lowerCAmelCase_			:				"torch.Tensor"):







      """simple docstring"""







      if self.framework != "pt":
        raise ValueError("""The ZeroShotObjectDetectionPipeline is only available in PyTorch.""")
      lowercase_					,    lowercase_					,    lowercase_					,    lowercase_								= box.int().tolist()
      lowercase_								= {
          """xmin""": xmin,
          """ymin""": ymin,
          """xmax""": xmax,
          """ymax""": ymax,
      }
      return bbox

