





'''simple docstring'''


class    lowerCAmelCase_		:




 def __init__(	self			,     _lowerCAmelCase			,     _lowerCAmelCase		)    ->							Dict:
     _lowerCAmelCase				=      name
     _lowerCAmelCase				=      val




 def __str__(	self		)    ->							int:
     return f'''{self.__class__.__name__}({self.name}, {self.val})'''





 def __lt__(	self			,     _lowerCAmelCase		)    ->							int:
     return self.val < other.val







class    lowerCAmelCase_		:




 def __init__(	self			,     _lowerCAmelCase		)    ->							int:
     _lowerCAmelCase				=      {}
     _lowerCAmelCase				=      {}
     _lowerCAmelCase				=      self.build_heap(_lowerCAmelCase		)




 def __getitem__(	self			,     _lowerCAmelCase		)    ->							Optional[Any]:
     return self.get_value(_lowerCAmelCase		)




 def 							_snake_case   (	self			,     _lowerCAmelCase		)    ->							Optional[Any]:
     return (idx - 1) // 2




 def 							_snake_case   (	self			,     _lowerCAmelCase		)    ->							Dict:
     return idx * 2 + 1




 def 							_snake_case   (	self			,     _lowerCAmelCase		)    ->							str:
     return idx * 2 + 2




 def 							_snake_case   (	self			,     _lowerCAmelCase		)    ->							Union[str, Any]:
     return self.heap_dict[key]




 def 							_snake_case   (	self			,     _lowerCAmelCase		)    ->							List[Any]:
     _lowerCAmelCase				=      len(_lowerCAmelCase		) - 1
     _lowerCAmelCase				=      self.get_parent_idx(_lowerCAmelCase		)

     for idx, i in enumerate(_lowerCAmelCase		):
         _lowerCAmelCase				=      idx
         _lowerCAmelCase				=      i.val

     for i in range(_lowerCAmelCase			,     -1			,     -1		):
         self.sift_down(_lowerCAmelCase			,     _lowerCAmelCase		)
     return array




 def 							_snake_case   (	self			,     _lowerCAmelCase			,     _lowerCAmelCase		)    ->							Tuple:
     while True:
         _lowerCAmelCase				=      self.get_left_child_idx(_lowerCAmelCase		)  # noqa: E741
         _lowerCAmelCase				=      self.get_right_child_idx(_lowerCAmelCase		)

         _lowerCAmelCase				=      idx
         if l < len(_lowerCAmelCase		) and array[l] < array[idx]:
             _lowerCAmelCase				=      l
         if r < len(_lowerCAmelCase		) and array[r] < array[smallest]:
             _lowerCAmelCase				=      r

         if smallest != idx:
             _lowerCAmelCase			,			_lowerCAmelCase				=      array[smallest], array[idx]
             (
                 (
                 _lowerCAmelCase
             )			,			(
                 _lowerCAmelCase
             )			,			
             )				=      (
                 self.idx_of_element[array[smallest]],
                 self.idx_of_element[array[idx]],
             )
             _lowerCAmelCase				=      smallest
         else:
             break




 def 							_snake_case   (	self			,     _lowerCAmelCase		)    ->							Union[str, Any]:
     _lowerCAmelCase				=      self.get_parent_idx(_lowerCAmelCase		)
     while p >= 0 and self.heap[p] > self.heap[idx]:
         _lowerCAmelCase			,			_lowerCAmelCase				=      self.heap[idx], self.heap[p]
         _lowerCAmelCase			,			_lowerCAmelCase				=      (
             self.idx_of_element[self.heap[idx]],
             self.idx_of_element[self.heap[p]],
         )
         _lowerCAmelCase				=      p
         _lowerCAmelCase				=      self.get_parent_idx(_lowerCAmelCase		)




 def 							_snake_case   (	self		)    ->							Tuple:
     return self.heap[0]




 def 							_snake_case   (	self		)    ->							str:
     _lowerCAmelCase			,			_lowerCAmelCase				=      self.heap[-1], self.heap[0]
     _lowerCAmelCase			,			_lowerCAmelCase				=      (
         self.idx_of_element[self.heap[-1]],
         self.idx_of_element[self.heap[0]],
     )

     _lowerCAmelCase				=      self.heap.pop()
     del self.idx_of_element[x]
     self.sift_down(0			,     self.heap		)
     return x




 def 							_snake_case   (	self			,     _lowerCAmelCase		)    ->							List[Any]:
     self.heap.append(_lowerCAmelCase		)
     _lowerCAmelCase				=      len(self.heap		) - 1
     _lowerCAmelCase				=      node.val
     self.sift_up(len(self.heap		) - 1		)




 def 							_snake_case   (	self		)    ->							List[str]:
     return len(self.heap		) == 0





 def 							_snake_case   (	self			,     _lowerCAmelCase			,     _lowerCAmelCase		)    ->							List[str]:
     assert (
         self.heap[self.idx_of_element[node]].val > new_value
     ), "newValue must be less that current value"
     _lowerCAmelCase				=      new_value
     _lowerCAmelCase				=      new_value
     self.sift_up(self.idx_of_element[node]		)







_SCREAMING_SNAKE_CASE	 =							Node("R", -1)
_SCREAMING_SNAKE_CASE	 =							Node("B", 6)
_SCREAMING_SNAKE_CASE	 =							Node("A", 3)
_SCREAMING_SNAKE_CASE	 =							Node("X", 1)
_SCREAMING_SNAKE_CASE	 =							Node("E", 4)

# Use one of these two ways to generate Min-Heap

# Generating Min-Heap from array
_SCREAMING_SNAKE_CASE	 =							MinHeap([r, b, a, x, e])

# Generating Min-Heap by Insert method
# myMinHeap.insert(a)
# myMinHeap.insert(b)
# myMinHeap.insert(x)
# myMinHeap.insert(r)
# myMinHeap.insert(e)

# Before
print("Min Heap - before decrease key")
for i in my_min_heap.heap:
       print(i)

print("Min Heap - After decrease key of node [B -> -17]")
my_min_heap.decrease_key(b, -17)

# After
for i in my_min_heap.heap:
       print(i)

if __name__ == "__main__":
       import doctest

       doctest.testmod()









'''simple docstring'''


from typing import List, Union

import numpy as np

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


if is_vision_available():
       from PIL import Image

       from ..image_utils import load_image

if is_torch_available():
       import torch

       from ..models.auto.modeling_auto import MODEL_FOR_DEPTH_ESTIMATION_MAPPING

_SCREAMING_SNAKE_CASE	 =							logging.get_logger(__name__)

@add_end_docstrings(__magic_name__		)
class    lowerCAmelCase_		(		__magic_name__		):




 def __init__(	self			,     *_lowerCAmelCase			,     **_lowerCAmelCase		)    ->							List[Any]:
     super().__init__(*_lowerCAmelCase			,     **_lowerCAmelCase		)
     requires_backends(self			,     "vision"		)
     self.check_model_type(_lowerCAmelCase		)




 def __call__(	self			,     _lowerCAmelCase			,     **_lowerCAmelCase		)    ->							str:
     return super().__call__(_lowerCAmelCase			,     **_lowerCAmelCase		)




 def 							_snake_case   (	self			,     **_lowerCAmelCase		)    ->							Tuple:
     return {}, {}, {}




 def 							_snake_case   (	self			,     _lowerCAmelCase		)    ->							Union[str, Any]:
     _lowerCAmelCase				=      load_image(_lowerCAmelCase		)
     _lowerCAmelCase				=      image.size
     _lowerCAmelCase				=      self.image_processor(images=_lowerCAmelCase			,     return_tensors=self.framework		)
     return model_inputs




 def 							_snake_case   (	self			,     _lowerCAmelCase		)    ->							Tuple:
     _lowerCAmelCase				=      self.model(**_lowerCAmelCase		)
     return model_outputs





 def 							_snake_case   (	self			,     _lowerCAmelCase		)    ->							Optional[Any]:
     _lowerCAmelCase				=      model_outputs.predicted_depth
     _lowerCAmelCase				=      torch.nn.functional.interpolate(
         predicted_depth.unsqueeze(1		)			,     size=self.image_size[::-1]			,     mode="bicubic"			,     align_corners=_lowerCAmelCase		)
     _lowerCAmelCase				=      prediction.squeeze().cpu().numpy()
     _lowerCAmelCase				=      (output * 255 / np.max(_lowerCAmelCase		)).astype("uint8"		)
     _lowerCAmelCase				=      Image.fromarray(_lowerCAmelCase		)
     _lowerCAmelCase				=      {}
     _lowerCAmelCase				=      predicted_depth
     _lowerCAmelCase				=      depth
     return output_dict


