


'''simple docstring'''




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

import cva
import numpy as np

# Parrameters
UpperCAmelCase_      :		List[str]          =		(720, 1280)  # Height, Width
UpperCAmelCase_      :		Union[str, Any]          =		(0.4, 0.6)  # if height or width lower than this scale, drop it.
UpperCAmelCase_      :		Optional[Any]          =		1 / 100
UpperCAmelCase_      :		List[Any]          =		""
UpperCAmelCase_      :		Any          =		""
UpperCAmelCase_      :		Optional[Any]          =		""
UpperCAmelCase_      :		Optional[Any]          =		250


def    UpperCAmelCase_  (       ):
   '''simple docstring'''





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

      # Get random string code: '7b7ad245cdff75241935e4dd860f3bad'
      _a					:  int						=  random_chars(3_2      )
      _a					:  List[str]						=  path.split(os.sep      )[-1].rsplit('.'		,	1      )[0]
      _a					:  List[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}'''      )
      _a					:  Any						=  []
      for anno in new_annos:
         _a					:  Tuple						=  anno[3] - anno[1]
         _a					:  List[Any]						=  anno[4] - anno[2]
         _a					:  Optional[Any]						=  anno[1] + width / 2
         _a					:  Optional[int]						=  anno[2] + height / 2
         _a					:  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		,	A      ):
   '''simple docstring'''





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

      _a					:  Tuple						=  []
      for obj_list in obj_lists:
         _a					:  int						=  obj_list.rstrip('\n'      ).split(' '      )
         _a					:  List[Any]						=  float(obj[1]      ) - float(obj[3]      ) / 2
         _a					:  Union[str, Any]						=  float(obj[2]      ) - float(obj[4]      ) / 2
         _a					:  str						=  float(obj[1]      ) + float(obj[3]      ) / 2
         _a					:  Tuple						=  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		,	A		,	A		,	A		,	A		,	A = 0.0		,	):
   '''simple docstring'''





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

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





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


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






'''simple docstring'''




import mpmath  # for roots of unity
import numpy as np







class 					a			:
 '''simple docstring'''




 def __init__(    self		,      lowerCamelCase_=None		,      lowerCamelCase_=None      )      ->    Tuple:
    # Input as list
    _a					:  Optional[int]						=  list(poly_a or [0]      )[:]
    _a					:  List[str]						=  list(poly_b or [0]      )[:]

    # Remove leading zero coefficients
    while self.polyA[-1] == 0:
       self.polyA.pop()
    _a					:  str						=  len(self.polyA      )

    while self.polyB[-1] == 0:
       self.polyB.pop()
    _a					:  Optional[int]						=  len(self.polyB      )

    # Add 0 to make lengths equal a power of 2
    _a					:  str						=  int(
        2 ** np.ceil(np.loga(len(self.polyA      ) + len(self.polyB      ) - 1      )      )      )

    while len(self.polyA      ) < self.c_max_length:
       self.polyA.append(0      )
    while len(self.polyB      ) < self.c_max_length:
       self.polyB.append(0      )
    # A complex root used for the fourier transform
    _a					:  Optional[int]						=  complex(mpmath.root(x=1		,      n=self.c_max_length		,      k=1      )      )

    # The product
    _a					:  Union[str, Any]						=  self.__multiply()




 def   __UpperCamelCase   (    self		,      lowerCamelCase_      )      ->    Dict:
    _a					:  Dict						=  [[x] for x in self.polyA] if which == 'A' else [[x] for x in self.polyB]
    # Corner case
    if len(lowerCamelCase_      ) <= 1:
       return dft[0]
    #
    _a					:  List[str]						=  self.c_max_length // 2
    while next_ncol > 0:
       _a					:  Tuple						=  [[] for i in range(lowerCamelCase_      )]
       _a					:  Tuple						=  self.root**next_ncol

       # First half of next step
       _a					:  Optional[Any]						=  1
       for j in range(self.c_max_length // (next_ncol * 2)      ):
          for i in range(lowerCamelCase_      ):
             new_dft[i].append(dft[i][j] + current_root * dft[i + next_ncol][j]      )
          current_root *= root
       # Second half of next step
       _a					:  int						=  1
       for j in range(self.c_max_length // (next_ncol * 2)      ):
          for i in range(lowerCamelCase_      ):
             new_dft[i].append(dft[i][j] - current_root * dft[i + next_ncol][j]      )
          current_root *= root
       # Update
       _a					:  Union[str, Any]						=  new_dft
       _a					:  List[Any]						=  next_ncol // 2
    return dft[0]




 def   __UpperCamelCase   (    self      )      ->    List[Any]:
    _a					:  Tuple						=  self.__dft('A'      )
    _a					:  Union[str, Any]						=  self.__dft('B'      )
    _a					:  List[Any]						=  [[dft_a[i] * dft_b[i] for i in range(self.c_max_length      )]]
    del dft_a
    del dft_b

    # Corner Case
    if len(inverce_c[0]      ) <= 1:
       return inverce_c[0]
    # Inverse DFT
    _a					:  Optional[Any]						=  2
    while next_ncol <= self.c_max_length:
       _a					:  Optional[int]						=  [[] for i in range(lowerCamelCase_      )]
       _a					:  List[str]						=  self.root ** (next_ncol // 2)
       _a					:  int						=  1
       # First half of next step
       for j in range(self.c_max_length // next_ncol      ):
          for i in range(next_ncol // 2      ):
             # Even positions
             new_inverse_c[i].append(
                 (
                     inverce_c[i][j]
                     + inverce_c[i][j + self.c_max_length // next_ncol]
                 )
                 / 2      )
             # Odd positions
             new_inverse_c[i + next_ncol // 2].append(
                 (
                     inverce_c[i][j]
                     - inverce_c[i][j + self.c_max_length // next_ncol]
                 )
                 / (2 * current_root)      )
          current_root *= root
       # Update
       _a					:  Dict						=  new_inverse_c
       next_ncol *= 2
    # Unpack
    _a					:  Union[str, Any]						=  [round(x[0].real		,      8      ) + round(x[0].imag		,      8      ) * 1J for x in inverce_c]

    # Remove leading 0's
    while inverce_c[-1] == 0:
       inverce_c.pop()
    return inverce_c




 def __str__(    self      )      ->    Dict:
    _a					:  Optional[int]						=  'A = ' + ' + '.join(
        F'''{coef}*x^{i}''' for coef, i in enumerate(self.polyA[: self.len_A]      )      )
    _a					:  Dict						=  'B = ' + ' + '.join(
        F'''{coef}*x^{i}''' for coef, i in enumerate(self.polyB[: self.len_B]      )      )
    _a					:  Tuple						=  'A*B = ' + ' + '.join(
        F'''{coef}*x^{i}''' for coef, i in enumerate(self.product      )      )

    return F'''{a}\n{b}\n{c}'''


# Unit tests
if __name__ == "__main__":
 import doctest

 doctest.testmod()


