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

import cva
import numpy as np

# Parrameters
_lowerCAmelCase       =		(720, 1_280)  # Height, Width
_lowerCAmelCase       =		(0.4, 0.6)  # if height or width lower than this scale, drop it.
_lowerCAmelCase       =		1 / 100
_lowerCAmelCase       =		""
_lowerCAmelCase       =		""
_lowerCAmelCase       =		""
_lowerCAmelCase       =		250
def 					_snake_case	(  ):
					_UpperCamelCase     ,    _UpperCamelCase			     =     get_dataset(__snake_case  ,     __snake_case						)
					for index in range(__snake_case						):
										_UpperCamelCase			     =     random.sample(range(len(__snake_case						)						)  ,     4						)
										_UpperCamelCase     ,    _UpperCamelCase     ,    _UpperCamelCase			     =     update_image_and_anno(
										    __snake_case  ,     __snake_case  ,     __snake_case  ,     __snake_case  ,     __snake_case  ,     filter_scale=__snake_case  ,     )

										# Get random string code: '7b7ad245cdff75241935e4dd860f3bad'
										_UpperCamelCase			     =     random_chars(32						)
										_UpperCamelCase			     =     path.split(os.sep						)[-1].rsplit('''.'''  ,     1						)[0]
										_UpperCamelCase			     =     f"""{OUTPUT_DIR}/{file_name}_MOSAIC_{letter_code}"""
										cva.imwrite(f"""{file_root}.jpg"""  ,     __snake_case  ,     [cva.IMWRITE_JPEG_QUALITY, 85]						)
										print(f"""Succeeded {index+1}/{NUMBER_IMAGES} with {file_name}"""						)
										_UpperCamelCase			     =     []
										for anno in new_annos:
															_UpperCamelCase			     =     anno[3] - anno[1]
															_UpperCamelCase			     =     anno[4] - anno[2]
															_UpperCamelCase			     =     anno[1] + width / 2
															_UpperCamelCase			     =     anno[2] + height / 2
															_UpperCamelCase			     =     f"""{anno[0]} {x_center} {y_center} {width} {height}"""
															annos_list.append(__snake_case						)
										with open(f"""{file_root}.txt"""  ,     '''w'''						) as outfile:
															outfile.write('''\n'''.join(line for line in annos_list						)						)
def 					_snake_case	(  __snake_case  ,     __snake_case						):
					_UpperCamelCase			     =     []
					_UpperCamelCase			     =     []
					for label_file in glob.glob(os.path.join(__snake_case  ,     '''*.txt'''						)						):
										_UpperCamelCase			     =     label_file.split(os.sep						)[-1].rsplit('''.'''  ,     1						)[0]
										with open(__snake_case						) as in_file:
															_UpperCamelCase			     =     in_file.readlines()
										_UpperCamelCase			     =     os.path.join(__snake_case  ,     f"""{label_name}.jpg"""						)

										_UpperCamelCase			     =     []
										for obj_list in obj_lists:
															_UpperCamelCase			     =     obj_list.rstrip('''\n'''						).split(''' '''						)
															_UpperCamelCase			     =     float(obj[1]						) - float(obj[3]						) / 2
															_UpperCamelCase			     =     float(obj[2]						) - float(obj[4]						) / 2
															_UpperCamelCase			     =     float(obj[1]						) + float(obj[3]						) / 2
															_UpperCamelCase			     =     float(obj[2]						) + float(obj[4]						) / 2

															boxes.append([int(obj[0]						), xmin, ymin, xmax, ymax]						)
										if not boxes:
															continue
										img_paths.append(__snake_case						)
										labels.append(__snake_case						)
					return img_paths, labels
def 					_snake_case	(  __snake_case  ,     __snake_case  ,     __snake_case  ,     __snake_case  ,     __snake_case  ,     __snake_case = 0.0  ,     ):
					_UpperCamelCase			     =     np.zeros([output_size[0], output_size[1], 3]  ,     dtype=np.uinta						)
					_UpperCamelCase			     =     scale_range[0] + random.random() * (scale_range[1] - scale_range[0])
					_UpperCamelCase			     =     scale_range[0] + random.random() * (scale_range[1] - scale_range[0])
					_UpperCamelCase			     =     int(scale_x * output_size[1]						)
					_UpperCamelCase			     =     int(scale_y * output_size[0]						)

					_UpperCamelCase			     =     []
					_UpperCamelCase			     =     []
					for i, index in enumerate(__snake_case						):
										_UpperCamelCase			     =     all_img_list[index]
										path_list.append(__snake_case						)
										_UpperCamelCase			     =     all_annos[index]
										_UpperCamelCase			     =     cva.imread(__snake_case						)
										if i == 0:  # top-left
															_UpperCamelCase			     =     cva.resize(__snake_case  ,     (divid_point_x, divid_point_y)						)
															_UpperCamelCase			     =     img
															for bbox in img_annos:
																				_UpperCamelCase			     =     bbox[1] * scale_x
																				_UpperCamelCase			     =     bbox[2] * scale_y
																				_UpperCamelCase			     =     bbox[3] * scale_x
																				_UpperCamelCase			     =     bbox[4] * scale_y
																				new_anno.append([bbox[0], xmin, ymin, xmax, ymax]						)
										elif i == 1:  # top-right
															_UpperCamelCase			     =     cva.resize(__snake_case  ,     (output_size[1] - divid_point_x, divid_point_y)						)
															_UpperCamelCase			     =     img
															for bbox in img_annos:
																				_UpperCamelCase			     =     scale_x + bbox[1] * (1 - scale_x)
																				_UpperCamelCase			     =     bbox[2] * scale_y
																				_UpperCamelCase			     =     scale_x + bbox[3] * (1 - scale_x)
																				_UpperCamelCase			     =     bbox[4] * scale_y
																				new_anno.append([bbox[0], xmin, ymin, xmax, ymax]						)
										elif i == 2:  # bottom-left
															_UpperCamelCase			     =     cva.resize(__snake_case  ,     (divid_point_x, output_size[0] - divid_point_y)						)
															_UpperCamelCase			     =     img
															for bbox in img_annos:
																				_UpperCamelCase			     =     bbox[1] * scale_x
																				_UpperCamelCase			     =     scale_y + bbox[2] * (1 - scale_y)
																				_UpperCamelCase			     =     bbox[3] * scale_x
																				_UpperCamelCase			     =     scale_y + bbox[4] * (1 - scale_y)
																				new_anno.append([bbox[0], xmin, ymin, xmax, ymax]						)
										else:  # bottom-right
															_UpperCamelCase			     =     cva.resize(
															    __snake_case  ,     (output_size[1] - divid_point_x, output_size[0] - divid_point_y)						)
															_UpperCamelCase			     =     img
															for bbox in img_annos:
																				_UpperCamelCase			     =     scale_x + bbox[1] * (1 - scale_x)
																				_UpperCamelCase			     =     scale_y + bbox[2] * (1 - scale_y)
																				_UpperCamelCase			     =     scale_x + bbox[3] * (1 - scale_x)
																				_UpperCamelCase			     =     scale_y + bbox[4] * (1 - scale_y)
																				new_anno.append([bbox[0], xmin, ymin, xmax, ymax]						)

    # Remove bounding box small than scale of filter
					if filter_scale > 0:
										_UpperCamelCase			     =     [
										    anno
										    for anno in new_anno
										    if filter_scale < (anno[3] - anno[1]) and filter_scale < (anno[4] - anno[2])
										]

					return output_img, new_anno, path_list[0]
def 					_snake_case	(  __snake_case						):
					assert number_char > 1, "The number of character should greater than 1"
					_UpperCamelCase			     =     ascii_lowercase + digits
					return "".join(random.choice(__snake_case						) for _ in range(__snake_case						)						)


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

import sys
from collections import defaultdict
class     lowerCAmelCase_     :







							def __init__(   self      :     Optional[int]		):
												_UpperCamelCase			     =     []







							def  UpperCamelCase_						(   self      :     Any ,			_A      :     str		):
												return self.node_position[vertex]







							def  UpperCamelCase_						(   self      :     Optional[Any] ,			_A      :     List[str] ,			_A      :     Union[str, Any]		):
												_UpperCamelCase			     =     pos







							def  UpperCamelCase_						(   self      :     Any ,			_A      :     List[str] ,			_A      :     int ,			_A      :     Optional[Any] ,			_A      :     Union[str, Any]		):
												if start > size // 2 - 1:
																	return
												else:
																	if 2 * start + 2 >= size:
																						_UpperCamelCase			     =     2 * start + 1
																	else:
																						if heap[2 * start + 1] < heap[2 * start + 2]:
																											_UpperCamelCase			     =     2 * start + 1
																						else:
																											_UpperCamelCase			     =     2 * start + 2
																	if heap[smallest_child] < heap[start]:
																						_UpperCamelCase     ,    _UpperCamelCase			     =     heap[smallest_child], positions[smallest_child]
																						_UpperCamelCase     ,    _UpperCamelCase			     =     (
																						    heap[start],
																						    positions[start],
																						)
																						_UpperCamelCase     ,    _UpperCamelCase			     =     temp, tempa

																						_UpperCamelCase			     =     self.get_position(positions[smallest_child]		)
																						self.set_position(
																						    positions[smallest_child] ,			self.get_position(positions[start]		)		)
																						self.set_position(positions[start] ,			_A		)

																						self.top_to_bottom(_A ,			_A ,			_A ,			_A		)







							def  UpperCamelCase_						(   self      :     List[str] ,			_A      :     Tuple ,			_A      :     Optional[Any] ,			_A      :     int ,			_A      :     Optional[int]		):
												_UpperCamelCase			     =     position[index]

												while index != 0:
																	_UpperCamelCase			     =     int((index - 2) / 2		) if index % 2 == 0 else int((index - 1) / 2		)

																	if val < heap[parent]:
																						_UpperCamelCase			     =     heap[parent]
																						_UpperCamelCase			     =     position[parent]
																						self.set_position(position[parent] ,			_A		)
																	else:
																						_UpperCamelCase			     =     val
																						_UpperCamelCase			     =     temp
																						self.set_position(_A ,			_A		)
																						break
																	_UpperCamelCase			     =     parent
												else:
																	_UpperCamelCase			     =     val
																	_UpperCamelCase			     =     temp
																	self.set_position(_A ,			0		)







							def  UpperCamelCase_						(   self      :     int ,			_A      :     Tuple ,			_A      :     int		):
												_UpperCamelCase			     =     len(_A		) // 2 - 1
												for i in range(_A ,			-1 ,			-1		):
																	self.top_to_bottom(_A ,			_A ,			len(_A		) ,			_A		)







							def  UpperCamelCase_						(   self      :     Any ,			_A      :     int ,			_A      :     List[str]		):
												_UpperCamelCase			     =     positions[0]
												_UpperCamelCase			     =     sys.maxsize
												self.top_to_bottom(_A ,			0 ,			len(_A		) ,			_A		)
												return temp




def 					_snake_case	(  __snake_case						):
					_UpperCamelCase			     =     Heap()

					_UpperCamelCase			     =     [0] * len(__snake_case						)
					_UpperCamelCase			     =     [-1] * len(__snake_case						)  # Neighboring Tree Vertex of selected vertex
					# Minimum Distance of explored vertex with neighboring vertex of partial tree
					# formed in graph
					_UpperCamelCase			     =     []  # Heap of Distance of vertices from their neighboring vertex
					_UpperCamelCase			     =     []

					for vertex in range(len(__snake_case						)						):
										distance_tv.append(sys.maxsize						)
										positions.append(__snake_case						)
										heap.node_position.append(__snake_case						)

					_UpperCamelCase			     =     []
					_UpperCamelCase			     =     1
					_UpperCamelCase			     =     sys.maxsize
					for neighbor, distance in adjacency_list[0]:
										_UpperCamelCase			     =     0
										_UpperCamelCase			     =     distance
					heap.heapify(__snake_case  ,     __snake_case						)

					for _ in range(1  ,     len(__snake_case						)						):
										_UpperCamelCase			     =     heap.delete_minimum(__snake_case  ,     __snake_case						)
										if visited[vertex] == 0:
															tree_edges.append((nbr_tv[vertex], vertex)						)
															_UpperCamelCase			     =     1
															for neighbor, distance in adjacency_list[vertex]:
																				if (
																				    visited[neighbor] == 0
																				    and distance < distance_tv[heap.get_position(__snake_case						)]
																				):
																									_UpperCamelCase			     =     distance
																									heap.bottom_to_top(
																									    __snake_case  ,     heap.get_position(__snake_case						)  ,     __snake_case  ,     __snake_case						)
																									_UpperCamelCase			     =     vertex
					return tree_edges


if __name__ == "__main__":  # pragma: no cover
					# < --------- Prims Algorithm --------- >
					_lowerCAmelCase       =		int(input("Enter number of edges: ").strip())
					_lowerCAmelCase       =		defaultdict(list)
					for _ in range(edges_number):
										_lowerCAmelCase       =		[int(x) for x in input().strip().split()]
										adjacency_list[edge[0]].append([edge[1], edge[2]])
										adjacency_list[edge[1]].append([edge[0], edge[2]])
					print(prisms_algorithm(adjacency_list))
