'''simple docstring'''
import glob
import os
import random
from string import ascii_lowercase, digits

import cva
import numpy as np

# Parrameters
a=  (7_2_0, 1_2_8_0)  # Height, Width
a=  (0.4, 0.6)  # if height or width lower than this scale, drop it.
a=  1 / 1_0_0
a=  ''''''
a=  ''''''
a=  ''''''
a=  2_5_0







def  _UpperCamelCase (     ):




    """simple docstring"""



    __UpperCamelCase    ,					__UpperCamelCase	:	Optional[Any]		    =  get_dataset(_a				,     _a			)
    for index in range(_a			):
        __UpperCamelCase	:	str		    =  random.sample(range(len(_a			)			)				,     4			)
        __UpperCamelCase    ,					__UpperCamelCase    ,					__UpperCamelCase	:	Dict		    =  update_image_and_anno(
            _a				,     _a				,     _a				,     _a				,     _a				,     filter_scale=_a				,     )

        # Get random string code: '7b7ad245cdff75241935e4dd860f3bad'
        __UpperCamelCase	:	Tuple		    =  random_chars(3_2			)
        __UpperCamelCase	:	Any		    =  path.split(os.sep			)[-1].rsplit('.'				,     1			)[0]
        __UpperCamelCase	:	Any		    =  f"""{OUTPUT_DIR}/{file_name}_MOSAIC_{letter_code}"""
        cva.imwrite(f"""{file_root}.jpg"""				,     _a				,     [cva.IMWRITE_JPEG_QUALITY, 8_5]			)
        print(f"""Succeeded {index+1}/{NUMBER_IMAGES} with {file_name}"""			)
        __UpperCamelCase	:	str		    =  []
        for anno in new_annos:
            __UpperCamelCase	:	Optional[int]		    =  anno[3] - anno[1]
            __UpperCamelCase	:	Optional[int]		    =  anno[4] - anno[2]
            __UpperCamelCase	:	Dict		    =  anno[1] + width / 2
            __UpperCamelCase	:	Dict		    =  anno[2] + height / 2
            __UpperCamelCase	:	List[str]		    =  f"""{anno[0]} {x_center} {y_center} {width} {height}"""
            annos_list.append(_a			)
        with open(f"""{file_root}.txt"""				,     'w'			) as outfile:
            outfile.write('\n'.join(line for line in annos_list			)			)







def  _UpperCamelCase (     _a	:	str				,     _a	:	str			):




    """simple docstring"""



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

        __UpperCamelCase	:	List[str]		    =  []
        for obj_list in obj_lists:
            __UpperCamelCase	:	List[Any]		    =  obj_list.rstrip('\n'			).split(' '			)
            __UpperCamelCase	:	Tuple		    =  float(obj[1]			) - float(obj[3]			) / 2
            __UpperCamelCase	:	Tuple		    =  float(obj[2]			) - float(obj[4]			) / 2
            __UpperCamelCase	:	Optional[Any]		    =  float(obj[1]			) + float(obj[3]			) / 2
            __UpperCamelCase	:	Dict		    =  float(obj[2]			) + float(obj[4]			) / 2

            boxes.append([int(obj[0]			), xmin, ymin, xmax, ymax]			)
        if not boxes:
            continue
        img_paths.append(_a			)
        labels.append(_a			)
    return img_paths, labels







def  _UpperCamelCase (     _a	:	list				,     _a	:	list				,     _a	:	list[int]				,     _a	:	tuple[int, int]				,     _a	:	tuple[float, float]				,     _a	:	float = 0.0				,     ):




    """simple docstring"""



    __UpperCamelCase	:	Tuple		    =  np.zeros([output_size[0], output_size[1], 3]				,     dtype=np.uinta			)
    __UpperCamelCase	:	Union[str, Any]		    =  scale_range[0] + random.random() * (scale_range[1] - scale_range[0])
    __UpperCamelCase	:	Dict		    =  scale_range[0] + random.random() * (scale_range[1] - scale_range[0])
    __UpperCamelCase	:	int		    =  int(scale_x * output_size[1]			)
    __UpperCamelCase	:	List[str]		    =  int(scale_y * output_size[0]			)

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




    """simple docstring"""



    assert number_char > 1, "The number of character should greater than 1"
    __UpperCamelCase	:	Union[str, Any]		    =  ascii_lowercase + digits
    return "".join(random.choice(_a			) for _ in range(_a			)			)


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




'''simple docstring'''
class 			__lowercase		:







     """simple docstring"""






     def __init__(		self    ):
         __UpperCamelCase	:	Any		    =  0
         __UpperCamelCase	:	Any		    =  0
         __UpperCamelCase	:	Any		    =  {}







     def lowerCAmelCase     (		self     ,			_lowerCamelCase    ):
         if vertex not in self.adjacency:
             __UpperCamelCase	:	Tuple		    =  {}
             self.num_vertices += 1







     def lowerCAmelCase     (		self     ,			_lowerCamelCase     ,			_lowerCamelCase     ,			_lowerCamelCase    ):
         self.add_vertex(_lowerCamelCase    )
         self.add_vertex(_lowerCamelCase    )

         if head == tail:
             return

         __UpperCamelCase	:	List[Any]		    =  weight
         __UpperCamelCase	:	Optional[int]		    =  weight







     def lowerCAmelCase     (		self    ):
         __UpperCamelCase	:	List[str]		    =  self.get_edges()
         for edge in edges:
             __UpperCamelCase    ,					__UpperCamelCase    ,					__UpperCamelCase	:	Optional[int]		    =  edge
             edges.remove((tail, head, weight)    )
         for i in range(len(_lowerCamelCase    )    ):
             __UpperCamelCase	:	Union[str, Any]		    =  list(edges[i]    )

         edges.sort(key=lambda _lowerCamelCase    : e[2]    )
         for i in range(len(_lowerCamelCase    ) - 1    ):
             if edges[i][2] >= edges[i + 1][2]:
                 __UpperCamelCase	:	Optional[int]		    =  edges[i][2] + 1
         for edge in edges:
             __UpperCamelCase    ,					__UpperCamelCase    ,					__UpperCamelCase	:	Optional[int]		    =  edge
             __UpperCamelCase	:	Tuple		    =  weight
             __UpperCamelCase	:	Optional[Any]		    =  weight







     def __str__(		self    ):
         __UpperCamelCase	:	Optional[Any]		    =  ''
         for tail in self.adjacency:
             for head in self.adjacency[tail]:
                 __UpperCamelCase	:	Tuple		    =  self.adjacency[head][tail]
                 string += f"""{head} -> {tail} == {weight}\n"""
         return string.rstrip('\n'    )







     def lowerCAmelCase     (		self    ):
         __UpperCamelCase	:	Any		    =  []
         for tail in self.adjacency:
             for head in self.adjacency[tail]:
                 output.append((tail, head, self.adjacency[head][tail])    )
         return output







     def lowerCAmelCase     (		self    ):
         return self.adjacency.keys()







     @staticmethod
     def lowerCAmelCase     (		_lowerCamelCase=None     ,			_lowerCamelCase=None    ):
         __UpperCamelCase	:	Tuple		    =  Graph()
         if vertices is None:
             __UpperCamelCase	:	List[Any]		    =  []
         if edges is None:
             __UpperCamelCase	:	Optional[int]		    =  []
         for vertex in vertices:
             g.add_vertex(_lowerCamelCase    )
         for edge in edges:
             g.add_edge(*_lowerCamelCase    )
         return g






     class 			__lowercase		:







          """simple docstring"""






          def __init__(		self    ):
              __UpperCamelCase	:	Union[str, Any]		    =  {}
              __UpperCamelCase	:	int		    =  {}







          def __len__(		self    ):
              return len(self.parent    )







          def lowerCAmelCase     (		self     ,			_lowerCamelCase    ):
              if item in self.parent:
                  return self.find(_lowerCamelCase    )

              __UpperCamelCase	:	Optional[Any]		    =  item
              __UpperCamelCase	:	List[str]		    =  0
              return item







          def lowerCAmelCase     (		self     ,			_lowerCamelCase    ):
              if item not in self.parent:
                  return self.make_set(_lowerCamelCase    )
              if item != self.parent[item]:
                  __UpperCamelCase	:	int		    =  self.find(self.parent[item]    )
              return self.parent[item]







          def lowerCAmelCase     (		self     ,			_lowerCamelCase     ,			_lowerCamelCase    ):
              __UpperCamelCase	:	Tuple		    =  self.find(_lowerCamelCase    )
              __UpperCamelCase	:	Any		    =  self.find(_lowerCamelCase    )

              if roota == roota:
                  return roota

              if self.rank[roota] > self.rank[roota]:
                  __UpperCamelCase	:	Dict		    =  roota
                  return roota

              if self.rank[roota] < self.rank[roota]:
                  __UpperCamelCase	:	Optional[Any]		    =  roota
                  return roota

              if self.rank[roota] == self.rank[roota]:
                  self.rank[roota] += 1
                  __UpperCamelCase	:	Dict		    =  roota
                  return roota
              return None







     @staticmethod
     def lowerCAmelCase     (		_lowerCamelCase    ):
         __UpperCamelCase	:	int		    =  graph.num_vertices

         __UpperCamelCase	:	str		    =  Graph.UnionFind()
         __UpperCamelCase	:	Tuple		    =  []
         while num_components > 1:
             __UpperCamelCase	:	Dict		    =  {}
             for vertex in graph.get_vertices():
                 __UpperCamelCase	:	str		    =  -1

             __UpperCamelCase	:	int		    =  graph.get_edges()
             for edge in edges:
                 __UpperCamelCase    ,					__UpperCamelCase    ,					__UpperCamelCase	:	List[str]		    =  edge
                 edges.remove((tail, head, weight)    )
             for edge in edges:
                 __UpperCamelCase    ,					__UpperCamelCase    ,					__UpperCamelCase	:	Dict		    =  edge
                 __UpperCamelCase	:	List[Any]		    =  union_find.find(_lowerCamelCase    )
                 __UpperCamelCase	:	str		    =  union_find.find(_lowerCamelCase    )
                 if seta != seta:
                     if cheap_edge[seta] == -1 or cheap_edge[seta][2] > weight:
                         __UpperCamelCase	:	str		    =  [head, tail, weight]

                     if cheap_edge[seta] == -1 or cheap_edge[seta][2] > weight:
                         __UpperCamelCase	:	str		    =  [head, tail, weight]
             for vertex in cheap_edge:
                 if cheap_edge[vertex] != -1:
                     __UpperCamelCase    ,					__UpperCamelCase    ,					__UpperCamelCase	:	List[str]		    =  cheap_edge[vertex]
                     if union_find.find(_lowerCamelCase    ) != union_find.find(_lowerCamelCase    ):
                         union_find.union(_lowerCamelCase     ,			_lowerCamelCase    )
                         mst_edges.append(cheap_edge[vertex]    )
                         __UpperCamelCase	:	int		    =  num_components - 1
         __UpperCamelCase	:	Union[str, Any]		    =  Graph.build(edges=_lowerCamelCase    )
         return mst



