

'''simple docstring'''







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

import cva
import numpy as np

# Parrameters
__lowerCamelCase		       =    (720, 1280)  # 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       UpperCAmelCase__    (      )			->			int:
       A_					,			A_						=      get_dataset(UpperCAmelCase__,       UpperCAmelCase__				)
       for index in range(UpperCAmelCase__				):
              A_						=      random.sample(range(len(UpperCAmelCase__				)				),       4				)
              A_					,			A_					,			A_						=      update_image_and_anno(
                  UpperCAmelCase__,       UpperCAmelCase__,       UpperCAmelCase__,       UpperCAmelCase__,       UpperCAmelCase__,       filter_scale=UpperCAmelCase__,       )

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

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

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

       A_						=      []
       A_						=      []
       for i, index in enumerate(UpperCAmelCase__				):
              A_						=      all_img_list[index]
              path_list.append(UpperCAmelCase__				)
              A_						=      all_annos[index]
              A_						=      cva.imread(UpperCAmelCase__				)
              if i == 0:  # top-left
                     A_						=      cva.resize(UpperCAmelCase__,       (divid_point_x, divid_point_y)				)
                     A_						=      img
                     for bbox in img_annos:
                            A_						=      bbox[1] * scale_x
                            A_						=      bbox[2] * scale_y
                            A_						=      bbox[3] * scale_x
                            A_						=      bbox[4] * scale_y
                            new_anno.append([bbox[0], xmin, ymin, xmax, ymax]				)
              elif i == 1:  # top-right
                     A_						=      cva.resize(UpperCAmelCase__,       (output_size[1] - divid_point_x, divid_point_y)				)
                     A_						=      img
                     for bbox in img_annos:
                            A_						=      scale_x + bbox[1] * (1 - scale_x)
                            A_						=      bbox[2] * scale_y
                            A_						=      scale_x + bbox[3] * (1 - scale_x)
                            A_						=      bbox[4] * scale_y
                            new_anno.append([bbox[0], xmin, ymin, xmax, ymax]				)
              elif i == 2:  # bottom-left
                     A_						=      cva.resize(UpperCAmelCase__,       (divid_point_x, output_size[0] - divid_point_y)				)
                     A_						=      img
                     for bbox in img_annos:
                            A_						=      bbox[1] * scale_x
                            A_						=      scale_y + bbox[2] * (1 - scale_y)
                            A_						=      bbox[3] * scale_x
                            A_						=      scale_y + bbox[4] * (1 - scale_y)
                            new_anno.append([bbox[0], xmin, ymin, xmax, ymax]				)
              else:  # bottom-right
                     A_						=      cva.resize(
                         UpperCAmelCase__,       (output_size[1] - divid_point_x, output_size[0] - divid_point_y)				)
                     A_						=      img
                     for bbox in img_annos:
                            A_						=      scale_x + bbox[1] * (1 - scale_x)
                            A_						=      scale_y + bbox[2] * (1 - scale_y)
                            A_						=      scale_x + bbox[3] * (1 - scale_x)
                            A_						=      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:
              A_						=      [
                  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__    (      UpperCAmelCase__				)			->			str:
       assert number_char > 1, "The number of character should greater than 1"
       A_						=      ascii_lowercase + digits
       return "".join(random.choice(UpperCAmelCase__				) for _ in range(UpperCAmelCase__				)				)


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



'''simple docstring'''







from __future__ import annotations

import math
def       UpperCAmelCase__    (      UpperCAmelCase__				)			->			bool:

       if 1 < number < 4:
              # 2 and 3 are primes
              return True
       elif number < 2 or number % 2 == 0 or number % 3 == 0:
              # Negatives, 0, 1, all even numbers, all multiples of 3 are not primes
              return False

       # All primes number are in format of 6k +/- 1
       for i in range(5,       int(math.sqrt(UpperCAmelCase__				) + 1				),       6				):
              if number % i == 0 or number % (i + 2) == 0:
                     return False
       return True


__lowerCamelCase		       =    [num for num in range(3, 10_0001, 2) if not is_prime(num)]
def       UpperCAmelCase__    (      UpperCAmelCase__				)			->			list[int]:
       if not isinstance(UpperCAmelCase__,       UpperCAmelCase__				):
              raise ValueError("""n must be an integer"""				)
       if n <= 0:
              raise ValueError("""n must be >= 0"""				)

       A_						=      []
       for num in range(len(UpperCAmelCase__				)				):
              A_						=      0
              while 2 * i * i <= odd_composites[num]:
                     A_						=      odd_composites[num] - 2 * i * i
                     if is_prime(UpperCAmelCase__				):
                            break
                     i += 1
              else:
                     list_nums.append(odd_composites[num]				)
                     if len(UpperCAmelCase__				) == n:
                            return list_nums

       return []
def       UpperCAmelCase__    (      )			->			int:
       return compute_nums(1				)[0]


if __name__ == "__main__":
      print(f"""{solution() = }""")
