






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

import cva
import numpy as np

# Parrameters
__UpperCAmelCase								=						(720, 1280)  # Height, Width
__UpperCAmelCase								=						(0.4, 0.6)  # if height or width lower than this scale, drop it.
__UpperCAmelCase								=						1 / 100
__UpperCAmelCase								=						''
__UpperCAmelCase								=						''
__UpperCAmelCase								=						''
__UpperCAmelCase								=						250




def      lowercase__      (     ):


					'''simple docstring'''


					UpperCAmelCase_       ,  UpperCAmelCase_    :      Tuple            =						get_dataset(__snake_case     ,       __snake_case  )
					for index in range(__snake_case  ):
										UpperCAmelCase_    :      Optional[int]            =						random.sample(range(len(__snake_case  )  )     ,       4  )
										UpperCAmelCase_       ,  UpperCAmelCase_       ,  UpperCAmelCase_    :      List[str]            =						update_image_and_anno(
										    __snake_case     ,       __snake_case     ,       __snake_case     ,       __snake_case     ,       __snake_case     ,       filter_scale=__snake_case     ,       )

										# Get random string code: '7b7ad245cdff75241935e4dd860f3bad'
										UpperCAmelCase_    :      Optional[Any]            =						random_chars(32  )
										UpperCAmelCase_    :      Optional[int]            =						path.split(os.sep  )[-1].rsplit('.'     ,       1  )[0]
										UpperCAmelCase_    :      Optional[int]            =						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_    :      Optional[Any]            =						[]
										for anno in new_annos:
															UpperCAmelCase_    :      str            =						anno[3] - anno[1]
															UpperCAmelCase_    :      Any            =						anno[4] - anno[2]
															UpperCAmelCase_    :      Any            =						anno[1] + width / 2
															UpperCAmelCase_    :      Dict            =						anno[2] + height / 2
															UpperCAmelCase_    :      Union[str, Any]            =						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      lowercase__      (     __snake_case    :							str     ,       __snake_case    :							str  ):


					'''simple docstring'''


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

										UpperCAmelCase_    :      List[Any]            =						[]
										for obj_list in obj_lists:
															UpperCAmelCase_    :      str            =						obj_list.rstrip('\n'  ).split(' '  )
															UpperCAmelCase_    :      str            =						float(obj[1]  ) - float(obj[3]  ) / 2
															UpperCAmelCase_    :      Optional[Any]            =						float(obj[2]  ) - float(obj[4]  ) / 2
															UpperCAmelCase_    :      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(__snake_case  )
										labels.append(__snake_case  )
					return img_paths, labels




def      lowercase__      (     __snake_case    :							list     ,       __snake_case    :							list     ,       __snake_case    :							list[int]     ,       __snake_case    :							tuple[int, int]     ,       __snake_case    :							tuple[float, float]     ,       __snake_case    :							float = 0.0     ,       ):


					'''simple docstring'''


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

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


					'''simple docstring'''


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


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








"""simple docstring"""





import argparse
from collections import defaultdict







def 	__a     (		__lowerCamelCase,		__lowerCamelCase,		__lowerCamelCase,		__lowerCamelCase,		__lowerCamelCase  ):
   UpperCAmelCase_					:					int			     =    f"""{file}_{class_name}_{test_name}"""
   done_test[_id] += 1

   with open(__lowerCamelCase,		"r"  ) as f:
      UpperCAmelCase_					:					List[Any]			     =    f.readlines()

   UpperCAmelCase_					:					int			     =    f"""class {class_name}("""
   UpperCAmelCase_					:					Optional[Any]			     =    f"""{4 * " "}def {test_name}("""
   UpperCAmelCase_					:					Optional[Any]			     =    f"""{8 * " "}{correct_line.split()[0]}"""
   UpperCAmelCase_					:					Tuple			     =    f"""{16 * " "}{correct_line.split()[0]}"""
   UpperCAmelCase_					:					int			     =    False
   UpperCAmelCase_					:					Union[str, Any]			     =    False
   UpperCAmelCase_					:					str			     =    False
   UpperCAmelCase_					:					Optional[Any]			     =    False
   UpperCAmelCase_					:					List[str]			     =    0
   UpperCAmelCase_					:					Optional[int]			     =    0

   UpperCAmelCase_					:					int			     =    []
   for line in lines:
      if line.startswith(__lowerCamelCase  ):
         UpperCAmelCase_					:					Tuple			     =    True
      elif in_class and line.startswith(__lowerCamelCase  ):
         UpperCAmelCase_					:					Optional[int]			     =    True
      elif in_class and in_func and (line.startswith(__lowerCamelCase  ) or line.startswith(__lowerCamelCase  )):
         UpperCAmelCase_					:					Any			     =    len(line.split(correct_line.split()[0]  )[0]  )
         count += 1

         if count == done_test[_id]:
            UpperCAmelCase_					:					Union[str, Any]			     =    True

      if in_class and in_func and in_line:
         if ")" not in line:
            continue
         else:
            UpperCAmelCase_					:					Any			     =    True

      if in_class and in_func and in_line and insert_line:
         new_lines.append(f"""{spaces * " "}{correct_line}"""  )
         UpperCAmelCase_					:					int			     =    False
      else:
         new_lines.append(__lowerCamelCase  )

   with open(__lowerCamelCase,		"w"  ) as f:
      for line in new_lines:
         f.write(__lowerCamelCase  )







def 	__a     (		__lowerCamelCase,		__lowerCamelCase=None  ):
   if fail is not None:
      with open(__lowerCamelCase,		"r"  ) as f:
         UpperCAmelCase_					:					Tuple			     =    {l.strip() for l in f.readlines()}
   else:
      UpperCAmelCase_					:					str			     =    None

   with open(__lowerCamelCase,		"r"  ) as f:
      UpperCAmelCase_					:					Optional[int]			     =    f.readlines()

   UpperCAmelCase_					:					Any			     =    defaultdict(__lowerCamelCase  )
   for line in correct_lines:
      UpperCAmelCase_     ,   UpperCAmelCase_     ,   UpperCAmelCase_     ,   UpperCAmelCase_					:					Any			     =    line.split(";"  )
      if test_failures is None or "::".join([file, class_name, test_name]  ) in test_failures:
         overwrite_file(__lowerCamelCase,		__lowerCamelCase,		__lowerCamelCase,		__lowerCamelCase,		__lowerCamelCase  )


if __name__ == "__main__":
    _a		       =							argparse.ArgumentParser()
    parser.add_argument('--correct_filename', help='filename of tests with expected result')
    parser.add_argument('--fail_filename', help='filename of test failures', type=str, default=None)
    _a		       =							parser.parse_args()

    main(args.correct_filename, args.fail_filename)


