






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"""

from sympy import diff, lambdify, symbols
from sympy.functions import *  # noqa: F403




def __lowercase			(							_a		,			_a		,			_a = "x"		,			_a = 10**-10		,			_a = 1		,			):
    snake_case_ :     Any				=	symbols(_a    )
    snake_case_ :     int				=	lambdify(_a		,			_a    )
    snake_case_ :     Optional[Any]				=	lambdify(_a		,			diff(_a		,			_a    )    )

    snake_case_ :     Optional[Any]				=	starting_point

    while True:
        if diff_function(_a    ) != 0:
            snake_case_ :     Optional[int]				=	prev_guess - multiplicity * func(_a    ) / diff_function(
                _a    )
        else:
            raise ZeroDivisionError('''Could not find root'''    ) from None

        # Precision is checked by comparing the difference of consecutive guesses
        if abs(next_guess - prev_guess    ) < precision:
            return next_guess

        snake_case_ :     int				=	next_guess


# Let's Execute
if __name__ == "__main__":
     # Find root of trigonometric function
     # Find value of pi
     print(f'The root of sin(x) = 0 is {newton_raphson("sin(x)", 2)}')

     # Find root of polynomial
     # Find fourth Root of 5
     print(f'The root of x**4 - 5 = 0 is {newton_raphson("x**4 -5", 0.4 +5j)}')

     # Find value of e
     print(
         '''The root of log(y) - 1 = 0 is ''',
         f'{newton_raphson("log(y) - 1", 2, variable="y")}',
     )

     # Exponential Roots
     print(
         '''The root of exp(x) - 1 = 0 is''',
         f'{newton_raphson("exp(x) - 1", 10, precision=0.005)}',
     )

     # Find root of cos(x)
     print(f'The root of cos(x) = 0 is {newton_raphson("cos(x)", 0)}')





