



'''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

A_							: Any						 =	logging.get_logger(__name__)



@add_end_docstrings(_lowerCamelCase				)
class 							lowercase       (  _lowerCamelCase				):


 """simple docstring"""


 def __init__(							self  ,**a_							)		->   str:
        super().__init__(**a_							)

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

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







 def __call__(							self  ,a_  ,a_ = None  ,**a_  ,)		->   Optional[int]:
        if "text_queries" in kwargs:
               _UpperCAmelCase  :						str			     = kwargs.pop("""text_queries"""							)

        if isinstance(a_  ,(str, Image.Image)							):
               _UpperCAmelCase  :						Dict			     = {"""image""": image, """candidate_labels""": candidate_labels}
        else:
               _UpperCAmelCase  :						int			     = image
        _UpperCAmelCase  :						Optional[Any]			     = super().__call__(a_  ,**a_							)
        return results







 def _snake_case (							self  ,**a_							)		->   Dict:
        _UpperCAmelCase  :						str			     = {}
        if "threshold" in kwargs:
               _UpperCAmelCase  :						List[Any]			     = kwargs["""threshold"""]
        if "top_k" in kwargs:
               _UpperCAmelCase  :						Union[str, Any]			     = kwargs["""top_k"""]
        return {}, {}, postprocess_params







 def _snake_case (							self  ,a_							)		->   int:
        _UpperCAmelCase  :						str			     = load_image(inputs["""image"""]							)
        _UpperCAmelCase  :						str			     = inputs["""candidate_labels"""]
        if isinstance(a_  ,a_							):
               _UpperCAmelCase  :						Dict			     = candidate_labels.split(""","""							)

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







 def _snake_case (							self  ,a_							)		->   Dict:
        _UpperCAmelCase  :						Optional[Any]			     = model_inputs.pop("""target_size"""							)
        _UpperCAmelCase  :						Optional[int]			     = model_inputs.pop("""candidate_label"""							)
        _UpperCAmelCase  :						Tuple			     = model_inputs.pop("""is_last"""							)

        _UpperCAmelCase  :						Any			     = self.model(**a_							)

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







 def _snake_case (							self  ,a_  ,a_=0.1  ,a_=None							)		->   Optional[int]:
        _UpperCAmelCase  :						Union[str, Any]			     = []
        for model_output in model_outputs:
               _UpperCAmelCase  :						Union[str, Any]			     = model_output["""candidate_label"""]
               _UpperCAmelCase  :						Optional[Any]			     = BaseModelOutput(a_							)
               _UpperCAmelCase  :						List[str]			     = self.image_processor.post_process_object_detection(
                   outputs=a_  ,threshold=a_  ,target_sizes=model_output["""target_size"""]							)[0]

               for index in outputs["scores"].nonzero():
                      _UpperCAmelCase  :						Optional[int]			     = outputs["""scores"""][index].item()
                      _UpperCAmelCase  :						Dict			     = self._get_bounding_box(outputs["""boxes"""][index][0]							)

                      _UpperCAmelCase  :						Optional[Any]			     = {"""score""": score, """label""": label, """box""": box}
                      results.append(a_							)

        _UpperCAmelCase  :						Union[str, Any]			     = sorted(a_  ,key=lambda a_							: x["score"]  ,reverse=a_							)
        if top_k:
               _UpperCAmelCase  :						Dict			     = results[:top_k]

        return results







 def _snake_case (							self  ,a_							)		->   Dict[str, int]:
        if self.framework != "pt":
               raise ValueError("""The ZeroShotObjectDetectionPipeline is only available in PyTorch."""							)
        _UpperCAmelCase     ,_UpperCAmelCase     ,_UpperCAmelCase     ,_UpperCAmelCase  :						int			     = box.int().tolist()
        _UpperCAmelCase  :						Dict			     = {
            """xmin""": xmin,
            """ymin""": ymin,
            """xmax""": xmax,
            """ymax""": ymax,
        }
        return bbox








'''simple docstring'''






from __future__ import annotations

import queue



class 							lowercase       :


 """simple docstring"""


 def __init__(							self  ,a_							)		->   str:
        _UpperCAmelCase  :						Optional[Any]			     = data
        _UpperCAmelCase  :						Optional[int]			     = None
        _UpperCAmelCase  :						Union[str, Any]			     = None







def     snake_case_					(     )->		TreeNode:





       '''simple docstring'''


       print("""\n********Press N to stop entering at any point of time********\n"""		)
       _UpperCAmelCase  :						Any			     = input("""Enter the value of the root node: """		).strip().lower()
       _UpperCAmelCase  :						queue.Queue			     = queue.Queue()
       _UpperCAmelCase  :						List[str]			     = TreeNode(int(lowerCAmelCase_		)		)
       q.put(lowerCAmelCase_		)
       while not q.empty():
              _UpperCAmelCase  :						str			     = q.get()
              _UpperCAmelCase  :						Any			     = F'''Enter the left node of {node_found.data}: '''
              _UpperCAmelCase  :						Union[str, Any]			     = input(lowerCAmelCase_		).strip().lower() or """n"""
              if check == "n":
                     return tree_node
              _UpperCAmelCase  :						List[str]			     = TreeNode(int(lowerCAmelCase_		)		)
              _UpperCAmelCase  :						Optional[int]			     = left_node
              q.put(lowerCAmelCase_		)
              _UpperCAmelCase  :						Dict			     = F'''Enter the right node of {node_found.data}: '''
              _UpperCAmelCase  :						Tuple			     = input(lowerCAmelCase_		).strip().lower() or """n"""
              if check == "n":
                     return tree_node
              _UpperCAmelCase  :						Any			     = TreeNode(int(lowerCAmelCase_		)		)
              _UpperCAmelCase  :						Optional[Any]			     = right_node
              q.put(lowerCAmelCase_		)
       raise




def     snake_case_					(     lowerCAmelCase_		)->		None:





       '''simple docstring'''


       if not isinstance(lowerCAmelCase_       ,   lowerCAmelCase_		) or not node:
              return
       print(node.data       ,   end=""","""		)
       pre_order(node.left		)
       pre_order(node.right		)




def     snake_case_					(     lowerCAmelCase_		)->		None:





       '''simple docstring'''


       if not isinstance(lowerCAmelCase_       ,   lowerCAmelCase_		) or not node:
              return
       in_order(node.left		)
       print(node.data       ,   end=""","""		)
       in_order(node.right		)




def     snake_case_					(     lowerCAmelCase_		)->		None:





       '''simple docstring'''


       if not isinstance(lowerCAmelCase_       ,   lowerCAmelCase_		) or not node:
              return
       post_order(node.left		)
       post_order(node.right		)
       print(node.data       ,   end=""","""		)




def     snake_case_					(     lowerCAmelCase_		)->		None:





       '''simple docstring'''


       if not isinstance(lowerCAmelCase_       ,   lowerCAmelCase_		) or not node:
              return
       _UpperCAmelCase  :						queue.Queue			     = queue.Queue()
       q.put(lowerCAmelCase_		)
       while not q.empty():
              _UpperCAmelCase  :						Dict			     = q.get()
              print(node_dequeued.data       ,   end=""","""		)
              if node_dequeued.left:
                     q.put(node_dequeued.left		)
              if node_dequeued.right:
                     q.put(node_dequeued.right		)




def     snake_case_					(     lowerCAmelCase_		)->		None:





       '''simple docstring'''


       if not isinstance(lowerCAmelCase_       ,   lowerCAmelCase_		) or not node:
              return
       _UpperCAmelCase  :						queue.Queue			     = queue.Queue()
       q.put(lowerCAmelCase_		)
       while not q.empty():
              _UpperCAmelCase  :						Optional[int]			     = []
              while not q.empty():
                     _UpperCAmelCase  :						Optional[int]			     = q.get()
                     print(node_dequeued.data       ,   end=""","""		)
                     if node_dequeued.left:
                            list_.append(node_dequeued.left		)
                     if node_dequeued.right:
                            list_.append(node_dequeued.right		)
              print()
              for node in list_:
                     q.put(lowerCAmelCase_		)




def     snake_case_					(     lowerCAmelCase_		)->		None:





       '''simple docstring'''


       if not isinstance(lowerCAmelCase_       ,   lowerCAmelCase_		) or not node:
              return
       _UpperCAmelCase  :						list[TreeNode]			     = []
       _UpperCAmelCase  :						Optional[Any]			     = node
       while n or stack:
              while n:  # start from root node, find its left child
                     print(n.data       ,   end=""","""		)
                     stack.append(lowerCAmelCase_		)
                     _UpperCAmelCase  :						Union[str, Any]			     = n.left
              # end of while means current node doesn't have left child
              _UpperCAmelCase  :						int			     = stack.pop()
              # start to traverse its right child
              _UpperCAmelCase  :						Any			     = n.right




def     snake_case_					(     lowerCAmelCase_		)->		None:





       '''simple docstring'''


       if not isinstance(lowerCAmelCase_       ,   lowerCAmelCase_		) or not node:
              return
       _UpperCAmelCase  :						list[TreeNode]			     = []
       _UpperCAmelCase  :						Optional[Any]			     = node
       while n or stack:
              while n:
                     stack.append(lowerCAmelCase_		)
                     _UpperCAmelCase  :						Tuple			     = n.left
              _UpperCAmelCase  :						Union[str, Any]			     = stack.pop()
              print(n.data       ,   end=""","""		)
              _UpperCAmelCase  :						Any			     = n.right




def     snake_case_					(     lowerCAmelCase_		)->		None:





       '''simple docstring'''


       if not isinstance(lowerCAmelCase_       ,   lowerCAmelCase_		) or not node:
              return
       _UpperCAmelCase     ,_UpperCAmelCase  :						str			     = [], []
       _UpperCAmelCase  :						Dict			     = node
       stacka.append(lowerCAmelCase_		)
       while stacka:  # to find the reversed order of post order, store it in stack2
              _UpperCAmelCase  :						Optional[int]			     = stacka.pop()
              if n.left:
                     stacka.append(n.left		)
              if n.right:
                     stacka.append(n.right		)
              stacka.append(lowerCAmelCase_		)
       while stacka:  # pop up from stack2 will be the post order
              print(stacka.pop().data       ,   end=""","""		)




def     snake_case_					(     lowerCAmelCase_ = ""       ,   lowerCAmelCase_=50       ,   lowerCAmelCase_="*"		)->		str:





       '''simple docstring'''


       if not s:
              return "\n" + width * char
       _UpperCAmelCase     ,_UpperCAmelCase  :						Optional[Any]			     = divmod(width - len(lowerCAmelCase_		) - 2       ,   2		)
       return F'''{left * char} {s} {(left + extra) * char}'''


if __name__ == "__main__":
   import doctest

   doctest.testmod()
   print(prompt("""Binary Tree Traversals"""))

   A_							: TreeNode						 =	build_tree()
   print(prompt("""Pre Order Traversal"""))
   pre_order(node)
   print(prompt() + """\n""")

   print(prompt("""In Order Traversal"""))
   in_order(node)
   print(prompt() + """\n""")

   print(prompt("""Post Order Traversal"""))
   post_order(node)
   print(prompt() + """\n""")

   print(prompt("""Level Order Traversal"""))
   level_order(node)
   print(prompt() + """\n""")

   print(prompt("""Actual Level Order Traversal"""))
   level_order_actual(node)
   print("""*""" * 5_0 + """\n""")

   print(prompt("""Pre Order Traversal - Iteration Version"""))
   pre_order_iter(node)
   print(prompt() + """\n""")

   print(prompt("""In Order Traversal - Iteration Version"""))
   in_order_iter(node)
   print(prompt() + """\n""")

   print(prompt("""Post Order Traversal - Iteration Version"""))
   post_order_iter(node)
   print(prompt())



