


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

import cva
import numpy as np

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






def 		_A		(		)					-> None:


     """simple docstring"""


     __UpperCamelCase,    __UpperCamelCase =			get_dataset(_lowercase					,  _lowercase )
     for index in range(_lowercase ):
          __UpperCamelCase =			random.sample(range(len(_lowercase ) )					,  4 )
          __UpperCamelCase,    __UpperCamelCase,    __UpperCamelCase =			update_image_and_anno(
              _lowercase					,  _lowercase					,  _lowercase					,  _lowercase					,  _lowercase					,  filter_scale=_lowercase					,  )

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






def 		_A		(		_lowercase					,  _lowercase )					-> tuple[list, list]:


     """simple docstring"""


     __UpperCamelCase =			[]
     __UpperCamelCase =			[]
     for label_file in glob.glob(os.path.join(_lowercase					,  '*.txt' ) ):
          __UpperCamelCase =			label_file.split(os.sep )[-1].rsplit('.'					,  1 )[0]
          with open(_lowercase ) as in_file:
               __UpperCamelCase =			in_file.readlines()
          __UpperCamelCase =			os.path.join(_lowercase					,  f'''{label_name}.jpg''' )

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

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






def 		_A		(		_lowercase					,  _lowercase					,  _lowercase					,  _lowercase					,  _lowercase					,  _lowercase = 0.0					,  )					-> tuple[list, list, str]:


     """simple docstring"""


     __UpperCamelCase =			np.zeros([output_size[0], output_size[1], 3]					,  dtype=np.uinta )
     __UpperCamelCase =			scale_range[0] + random.random() * (scale_range[1] - scale_range[0])
     __UpperCamelCase =			scale_range[0] + random.random() * (scale_range[1] - scale_range[0])
     __UpperCamelCase =			int(scale_x * output_size[1] )
     __UpperCamelCase =			int(scale_y * output_size[0] )

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


     """simple docstring"""


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


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






import argparse
import os
import re


# All paths are set with the intent you should run this script from the root of the repo with the command
# python utils/check_dummies.py
__snake_case   							=						'''src/diffusers'''

# Matches is_xxx_available()
__snake_case   							=						re.compile(r'''is\_([a-z_]*)_available\(\)''')
# Matches from xxx import bla
__snake_case   							=						re.compile(r'''\s+from\s+\S*\s+import\s+([^\(\s].*)\n''')


__snake_case   							=						'''
{0} = None
'''

__snake_case   							=						'''
class {0}(metaclass=DummyObject):
    _backends = {1}

    def __init__(self, *args, **kwargs):
        requires_backends(self, {1})

    @classmethod
    def from_config(cls, *args, **kwargs):
        requires_backends(cls, {1})

    @classmethod
    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, {1})
'''


__snake_case   							=						'''
def {0}(*args, **kwargs):
    requires_backends({0}, {1})
'''






def 		_A		(		_lowercase )					-> int:


     """simple docstring"""


     __UpperCamelCase =			_re_backend.findall(_lowercase )
     if len(_lowercase ) == 0:
          return None

     return "_and_".join(_lowercase )






def 		_A		(		)					-> Tuple:


     """simple docstring"""


     with open(os.path.join(_lowercase					,  '__init__.py' )					,  'r'					,  encoding='utf-8'					,  newline='\n' ) as f:
          __UpperCamelCase =			f.readlines()

     # Get to the point we do the actual imports for type checking
     __UpperCamelCase =			0
     __UpperCamelCase =			{}
     # Go through the end of the file
     while line_index < len(_lowercase ):
          # If the line contains is_backend_available, we grab all objects associated with the `else` block
          __UpperCamelCase =			find_backend(lines[line_index] )
          if backend is not None:
               while not lines[line_index].startswith('else:' ):
                    line_index += 1
               line_index += 1
               __UpperCamelCase =			[]
               # Until we unindent, add backend objects to the list
               while line_index < len(_lowercase ) and len(lines[line_index] ) > 1:
                    __UpperCamelCase =			lines[line_index]
                    __UpperCamelCase =			_re_single_line_import.search(_lowercase )
                    if single_line_import_search is not None:
                         objects.extend(single_line_import_search.groups()[0].split(', ' ) )
                    elif line.startswith(' ' * 8 ):
                         objects.append(line[8:-2] )
                    line_index += 1

               if len(_lowercase ) > 0:
                    __UpperCamelCase =			objects
          else:
               line_index += 1

     return backend_specific_objects






def 		_A		(		_lowercase					,  _lowercase )					-> Union[str, Any]:


     """simple docstring"""


     if name.isupper():
          return DUMMY_CONSTANT.format(_lowercase )
     elif name.islower():
          return DUMMY_FUNCTION.format(_lowercase					,  _lowercase )
     else:
          return DUMMY_CLASS.format(_lowercase					,  _lowercase )






def 		_A		(		_lowercase=None )					-> Optional[Any]:


     """simple docstring"""


     if backend_specific_objects is None:
          __UpperCamelCase =			read_init()
     # For special correspondence backend to module name as used in the function requires_modulename
     __UpperCamelCase =			{}

     for backend, objects in backend_specific_objects.items():
          __UpperCamelCase =			'[' + ', '.join(f'''"{b}"''' for b in backend.split('_and_' ) ) + ']'
          __UpperCamelCase =			'# This file is autogenerated by the command `make fix-copies`, do not edit.\n'
          dummy_file += "from ..utils import DummyObject, requires_backends\n\n"
          dummy_file += "\n".join([create_dummy_object(_lowercase					,  _lowercase ) for o in objects] )
          __UpperCamelCase =			dummy_file

     return dummy_files






def 		_A		(		_lowercase=False )					-> List[str]:


     """simple docstring"""


     __UpperCamelCase =			create_dummy_files()
     # For special correspondence backend to shortcut as used in utils/dummy_xxx_objects.py
     __UpperCamelCase =			{'torch': 'pt'}

     # Locate actual dummy modules and read their content.
     __UpperCamelCase =			os.path.join(_lowercase					,  'utils' )
     __UpperCamelCase =			{
         backend: os.path.join(_lowercase					,  f'''dummy_{short_names.get(_lowercase					,  _lowercase )}_objects.py''' )
         for backend in dummy_files.keys()
     }

     __UpperCamelCase =			{}
     for backend, file_path in dummy_file_paths.items():
          if os.path.isfile(_lowercase ):
               with open(_lowercase					,  'r'					,  encoding='utf-8'					,  newline='\n' ) as f:
                    __UpperCamelCase =			f.read()
          else:
               __UpperCamelCase =			''

     for backend in dummy_files.keys():
          if dummy_files[backend] != actual_dummies[backend]:
               if overwrite:
                    print(
                        f'''Updating diffusers.utils.dummy_{short_names.get(_lowercase					,  _lowercase )}_objects.py as the main '''
                        '__init__ has new objects.' )
                    with open(dummy_file_paths[backend]					,  'w'					,  encoding='utf-8'					,  newline='\n' ) as f:
                         f.write(dummy_files[backend] )
               else:
                    raise ValueError(
                        'The main __init__ has objects that are not present in '
                        f'''diffusers.utils.dummy_{short_names.get(_lowercase					,  _lowercase )}_objects.py. Run `make fix-copies` '''
                        'to fix this.' )


if __name__ == "__main__":
    __snake_case   							=						argparse.ArgumentParser()
    parser.add_argument('''--fix_and_overwrite''', action='''store_true''', help='''Whether to fix inconsistencies.''')
    __snake_case   							=						parser.parse_args()

    check_dummies(args.fix_and_overwrite)


