





import glob
import os
import random
from string import ascii_lowercase, digits

import cva
__lowercase  :   Union[str, Any]						      =""""""
__lowercase  :   Union[str, Any]						      =""""""
__lowercase  :   Any						      =""""""
__lowercase  :   List[str]						      =1  # (0 is vertical, 1 is horizontal)




def     a__ (					):






   '''simple docstring'''






   UpperCAmelCase_						,       UpperCAmelCase_     :   Union[str, Any]											=get_dataset(lowercase__  ,    lowercase__  )
   print("Processing..."  )
   UpperCAmelCase_						,       UpperCAmelCase_						,       UpperCAmelCase_     :   Union[str, Any]											=update_image_and_anno(lowercase__  ,    lowercase__  ,    lowercase__  )

   for index, image in enumerate(lowercase__  ):
      # Get random string code: '7b7ad245cdff75241935e4dd860f3bad'
      UpperCAmelCase_     :   Any											=random_chars(3_2  )
      UpperCAmelCase_     :   Optional[Any]											=paths[index].split(os.sep  )[-1].rsplit("."  ,    1  )[0]
      UpperCAmelCase_     :   Optional[int]											=F'{OUTPUT_DIR}/{file_name}_FLIP_{letter_code}'
      cva.imwrite(F'/{file_root}.jpg'  ,    lowercase__  ,    [cva.IMWRITE_JPEG_QUALITY, 8_5]  )
      print(F'Success {index+1}/{len(lowercase__  )} with {file_name}'  )
      UpperCAmelCase_     :   Optional[int]											=[]
      for anno in new_annos[index]:
         UpperCAmelCase_     :   Optional[int]											=F'{anno[0]} {anno[1]} {anno[2]} {anno[3]} {anno[4]}'
         annos_list.append(lowercase__  )
      with open(F'/{file_root}.txt'  ,    "w"  ) as outfile:
         outfile.write("\n".join(line for line in annos_list  )  )




def     a__ (					lowercase__  ,    lowercase__  ):






   '''simple docstring'''






   UpperCAmelCase_     :   Optional[int]											=[]
   UpperCAmelCase_     :   List[str]											=[]
   for label_file in glob.glob(os.path.join(lowercase__  ,    "*.txt"  )  ):
      UpperCAmelCase_     :   Any											=label_file.split(os.sep  )[-1].rsplit("."  ,    1  )[0]
      with open(lowercase__  ) as in_file:
         UpperCAmelCase_     :   str											=in_file.readlines()
      UpperCAmelCase_     :   List[Any]											=os.path.join(lowercase__  ,    F'{label_name}.jpg'  )

      UpperCAmelCase_     :   List[str]											=[]
      for obj_list in obj_lists:
         UpperCAmelCase_     :   str											=obj_list.rstrip("\n"  ).split(" "  )
         boxes.append(
             [
                 int(obj[0]  ),
                 float(obj[1]  ),
                 float(obj[2]  ),
                 float(obj[3]  ),
                 float(obj[4]  ),
             ]  )
      if not boxes:
         continue
      img_paths.append(lowercase__  )
      labels.append(lowercase__  )
   return img_paths, labels




def     a__ (					lowercase__  ,    lowercase__  ,    lowercase__ = 1  ):






   '''simple docstring'''






   UpperCAmelCase_     :   Dict											=[]
   UpperCAmelCase_     :   List[Any]											=[]
   UpperCAmelCase_     :   str											=[]
   for idx in range(len(lowercase__  )  ):
      UpperCAmelCase_     :   Optional[Any]											=[]
      UpperCAmelCase_     :   int											=img_list[idx]
      path_list.append(lowercase__  )
      UpperCAmelCase_     :   Optional[Any]											=anno_list[idx]
      UpperCAmelCase_     :   Union[str, Any]											=cva.imread(lowercase__  )
      if flip_type == 1:
         UpperCAmelCase_     :   Optional[int]											=cva.flip(lowercase__  ,    lowercase__  )
         for bbox in img_annos:
            UpperCAmelCase_     :   Dict											=1 - bbox[1]
            new_annos.append([bbox[0], x_center_new, bbox[2], bbox[3], bbox[4]]  )
      elif flip_type == 0:
         UpperCAmelCase_     :   List[Any]											=cva.flip(lowercase__  ,    lowercase__  )
         for bbox in img_annos:
            UpperCAmelCase_     :   List[Any]											=1 - bbox[2]
            new_annos.append([bbox[0], bbox[1], y_center_new, bbox[3], bbox[4]]  )
      new_annos_lists.append(lowercase__  )
      new_imgs_list.append(lowercase__  )
   return new_imgs_list, new_annos_lists, path_list




def     a__ (					lowercase__ = 3_2  ):






   '''simple docstring'''






   assert number_char > 1, "The number of character should greater than 1"
   UpperCAmelCase_     :   Optional[int]											=ascii_lowercase + digits
   return "".join(random.choice(lowercase__  ) for _ in range(lowercase__  )  )


if __name__ == "__main__":
     main()
     print("""DONE ✅""")











from __future__ import annotations

from sys import maxsize
from typing import Generic, TypeVar

__lowercase  :   Optional[int]						      =TypeVar("""T""")




def     a__ (					lowercase__  ):






   '''simple docstring'''






   return (position - 1) // 2




def     a__ (					lowercase__  ):






   '''simple docstring'''






   return (2 * position) + 1




def     a__ (					lowercase__  ):






   '''simple docstring'''






   return (2 * position) + 2

class      A       (	Generic[T]						):



      def __init__(	self:						List[str]       )						->    None:
         '''simple docstring'''

         UpperCAmelCase_											=[]
         UpperCAmelCase_											={}
         UpperCAmelCase_											=0



      def __len__(	self:						Union[str, Any]       )						->    int:
         '''simple docstring'''

         return self.elements



      def __repr__(	self:						Dict       )						->    str:
         '''simple docstring'''

         return str(self.heap       )



      def 	lowerCAmelCase__    (	self:						Any       )						->    bool:
         '''simple docstring'''

         return self.elements == 0



      def 	lowerCAmelCase__    (	self:						Optional[int]		,  _lowerCAmelCase:						T		,  _lowerCAmelCase:						int       )						->    None:
         '''simple docstring'''

         self.heap.append((elem, weight)       )
         UpperCAmelCase_											=self.elements
         self.elements += 1
         self._bubble_up(_lowerCAmelCase       )



      def 	lowerCAmelCase__    (	self:						Tuple       )						->    T:
         '''simple docstring'''

         if self.elements > 1:
            self._swap_nodes(0		,  self.elements - 1       )
         UpperCAmelCase_						,       UpperCAmelCase_											=self.heap.pop()
         del self.position_map[elem]
         self.elements -= 1
         if self.elements > 0:
            UpperCAmelCase_						,       UpperCAmelCase_											=self.heap[0]
            self._bubble_down(_lowerCAmelCase       )
         return elem



      def 	lowerCAmelCase__    (	self:						Optional[Any]		,  _lowerCAmelCase:						T		,  _lowerCAmelCase:						int       )						->    None:
         '''simple docstring'''

         UpperCAmelCase_											=self.position_map[elem]
         UpperCAmelCase_											=(elem, weight)
         if position > 0:
            UpperCAmelCase_											=get_parent_position(_lowerCAmelCase       )
            UpperCAmelCase_						,       UpperCAmelCase_											=self.heap[parent_position]
            if parent_weight > weight:
               self._bubble_up(_lowerCAmelCase       )
            else:
               self._bubble_down(_lowerCAmelCase       )
         else:
            self._bubble_down(_lowerCAmelCase       )



      def 	lowerCAmelCase__    (	self:						Any		,  _lowerCAmelCase:						T       )						->    None:
         '''simple docstring'''

         UpperCAmelCase_											=self.position_map[elem]
         if curr_pos == 0:
            return None
         UpperCAmelCase_											=get_parent_position(_lowerCAmelCase       )
         UpperCAmelCase_						,       UpperCAmelCase_											=self.heap[curr_pos]
         UpperCAmelCase_						,       UpperCAmelCase_											=self.heap[parent_position]
         if parent_weight > weight:
            self._swap_nodes(_lowerCAmelCase		,  _lowerCAmelCase       )
            return self._bubble_up(_lowerCAmelCase       )
         return None



      def 	lowerCAmelCase__    (	self:						Optional[Any]		,  _lowerCAmelCase:						T       )						->    None:
         '''simple docstring'''

         UpperCAmelCase_											=self.position_map[elem]
         UpperCAmelCase_						,       UpperCAmelCase_											=self.heap[curr_pos]
         UpperCAmelCase_											=get_child_left_position(_lowerCAmelCase       )
         UpperCAmelCase_											=get_child_right_position(_lowerCAmelCase       )
         if child_left_position < self.elements and child_right_position < self.elements:
            UpperCAmelCase_						,       UpperCAmelCase_											=self.heap[child_left_position]
            UpperCAmelCase_						,       UpperCAmelCase_											=self.heap[child_right_position]
            if child_right_weight < child_left_weight and child_right_weight < weight:
               self._swap_nodes(_lowerCAmelCase		,  _lowerCAmelCase       )
               return self._bubble_down(_lowerCAmelCase       )
         if child_left_position < self.elements:
            UpperCAmelCase_						,       UpperCAmelCase_											=self.heap[child_left_position]
            if child_left_weight < weight:
               self._swap_nodes(_lowerCAmelCase		,  _lowerCAmelCase       )
               return self._bubble_down(_lowerCAmelCase       )
         else:
            return None
         if child_right_position < self.elements:
            UpperCAmelCase_						,       UpperCAmelCase_											=self.heap[child_right_position]
            if child_right_weight < weight:
               self._swap_nodes(_lowerCAmelCase		,  _lowerCAmelCase       )
               return self._bubble_down(_lowerCAmelCase       )
         return None






      def 	lowerCAmelCase__    (	self:						Optional[Any]		,  _lowerCAmelCase:						int		,  _lowerCAmelCase:						int       )						->    None:
         '''simple docstring'''

         UpperCAmelCase_											=self.heap[nodea_pos][0]
         UpperCAmelCase_											=self.heap[nodea_pos][0]
         UpperCAmelCase_						,       UpperCAmelCase_											=(
             self.heap[nodea_pos],
             self.heap[nodea_pos],
         )
         UpperCAmelCase_											=nodea_pos
         UpperCAmelCase_											=nodea_pos

class      A       (	Generic[T]						):



      def __init__(	self:						Tuple       )						->    None:
         '''simple docstring'''

         UpperCAmelCase_											={}
         UpperCAmelCase_											=0



      def __repr__(	self:						List[str]       )						->    str:
         '''simple docstring'''

         return str(self.connections       )



      def __len__(	self:						Optional[Any]       )						->    int:
         '''simple docstring'''

         return self.nodes



      def 	lowerCAmelCase__    (	self:						Union[str, Any]		,  _lowerCAmelCase:						T       )						->    None:
         '''simple docstring'''

         if node not in self.connections:
            UpperCAmelCase_											={}
            self.nodes += 1






      def 	lowerCAmelCase__    (	self:						Optional[Any]		,  _lowerCAmelCase:						T		,  _lowerCAmelCase:						T		,  _lowerCAmelCase:						int       )						->    None:
         '''simple docstring'''

         self.add_node(_lowerCAmelCase       )
         self.add_node(_lowerCAmelCase       )
         UpperCAmelCase_											=weight
         UpperCAmelCase_											=weight




def     a__ (					lowercase__  ,    ):






   '''simple docstring'''






   UpperCAmelCase_											={node: maxsize for node in graph.connections}
   UpperCAmelCase_											={node: None for node in graph.connections}

   UpperCAmelCase_											=MinPriorityQueue()
   for node, weight in dist.items():
      priority_queue.push(lowercase__  ,    lowercase__  )

   if priority_queue.is_empty():
      return dist, parent

   # initialization
   UpperCAmelCase_											=priority_queue.extract_min()
   UpperCAmelCase_											=0
   for neighbour in graph.connections[node]:
      if dist[neighbour] > dist[node] + graph.connections[node][neighbour]:
         UpperCAmelCase_											=dist[node] + graph.connections[node][neighbour]
         priority_queue.update_key(lowercase__  ,    dist[neighbour]  )
         UpperCAmelCase_											=node

    # running prim's algorithm
   while not priority_queue.is_empty():
      UpperCAmelCase_											=priority_queue.extract_min()
      for neighbour in graph.connections[node]:
         if dist[neighbour] > dist[node] + graph.connections[node][neighbour]:
            UpperCAmelCase_											=dist[node] + graph.connections[node][neighbour]
            priority_queue.update_key(lowercase__  ,    dist[neighbour]  )
            UpperCAmelCase_											=node
   return dist, parent




