

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

import cva
__a    :Any      =			''
__a    :int      =			''
__a    :str      =			''
__a    :Optional[Any]      =			1  # (0 is vertical, 1 is horizontal)

def       __snake_case						( ):



      """simple docstring"""

      A_  ,     A_						  =				get_dataset(__UpperCamelCase				,__UpperCamelCase    )
      print("Processing..."    )
      A_  ,     A_  ,     A_						  =				update_image_and_anno(__UpperCamelCase				,__UpperCamelCase				,__UpperCamelCase    )

      for index, image in enumerate(__UpperCamelCase    ):
            # Get random string code: '7b7ad245cdff75241935e4dd860f3bad'
            A_						  =				random_chars(32    )
            A_						  =				paths[index].split(os.sep    )[-1].rsplit("."				,1    )[0]
            A_						  =				f'''{OUTPUT_DIR}/{file_name}_FLIP_{letter_code}'''
            cva.imwrite(f'''/{file_root}.jpg'''				,__UpperCamelCase				,[cva.IMWRITE_JPEG_QUALITY, 85]    )
            print(f'''Success {index+1}/{len(__UpperCamelCase    )} with {file_name}'''    )
            A_						  =				[]
            for anno in new_annos[index]:
                  A_						  =				f'''{anno[0]} {anno[1]} {anno[2]} {anno[3]} {anno[4]}'''
                  annos_list.append(__UpperCamelCase    )
            with open(f'''/{file_root}.txt'''				,"w"    ) as outfile:
                  outfile.write("\n".join(line for line in annos_list    )    )

def       __snake_case						( __UpperCamelCase	: str				,__UpperCamelCase	: str    ):



      """simple docstring"""

      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(" "    )
                  boxes.append(
                      [
                          int(obj[0]    ),
                          float(obj[1]    ),
                          float(obj[2]    ),
                          float(obj[3]    ),
                          float(obj[4]    ),
                      ]    )
            if not boxes:
                  continue
            img_paths.append(__UpperCamelCase    )
            labels.append(__UpperCamelCase    )
      return img_paths, labels

def       __snake_case						( __UpperCamelCase	: list				,__UpperCamelCase	: list				,__UpperCamelCase	: int = 1    ):



      """simple docstring"""

      A_						  =				[]
      A_						  =				[]
      A_						  =				[]
      for idx in range(len(__UpperCamelCase    )    ):
            A_						  =				[]
            A_						  =				img_list[idx]
            path_list.append(__UpperCamelCase    )
            A_						  =				anno_list[idx]
            A_						  =				cva.imread(__UpperCamelCase    )
            if flip_type == 1:
                  A_						  =				cva.flip(__UpperCamelCase				,__UpperCamelCase    )
                  for bbox in img_annos:
                        A_						  =				1 - bbox[1]
                        new_annos.append([bbox[0], x_center_new, bbox[2], bbox[3], bbox[4]]    )
            elif flip_type == 0:
                  A_						  =				cva.flip(__UpperCamelCase				,__UpperCamelCase    )
                  for bbox in img_annos:
                        A_						  =				1 - bbox[2]
                        new_annos.append([bbox[0], bbox[1], y_center_new, bbox[3], bbox[4]]    )
            new_annos_lists.append(__UpperCamelCase    )
            new_imgs_list.append(__UpperCamelCase    )
      return new_imgs_list, new_annos_lists, path_list

def       __snake_case						( __UpperCamelCase	: int = 32    ):



      """simple docstring"""

      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 ...utils import (
    OptionalDependencyNotAvailable,
    is_torch_available,
    is_transformers_available,
    is_transformers_version,
)


try:
						if not (is_transformers_available() and is_torch_available()):
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						from ...utils.dummy_torch_and_transformers_objects import (
						    ImageTextPipelineOutput,
						    UniDiffuserPipeline,
						)
else:
						from .modeling_text_decoder import UniDiffuserTextDecoder
						from .modeling_uvit import UniDiffuserModel, UTransformeraDModel
						from .pipeline_unidiffuser import ImageTextPipelineOutput, UniDiffuserPipeline
