






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

import cva
__lowerCamelCase   :     Tuple 		= """"""
__lowerCamelCase   :     Any 		= """"""
__lowerCamelCase   :     List[str] 		= """"""
__lowerCamelCase   :     Optional[int] 		= 1  # (0 is vertical, 1 is horizontal)







def 	SCREAMING_SNAKE_CASE							(					):
	snake_case__,		snake_case__					: Optional[Any]  =    get_dataset(A__	,    A__  )
	print("Processing..."  )
	snake_case__,		snake_case__,		snake_case__					: Any  =    update_image_and_anno(A__	,    A__	,    A__  )

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







def 	SCREAMING_SNAKE_CASE							(					snake_case_   :				str	,    snake_case_   :				str  ):
	snake_case__					: int  =    []
	snake_case__					: Optional[Any]  =    []
	for label_file in glob.glob(os.path.join(A__	,    "*.txt"  )  ):
		snake_case__					: Optional[Any]  =    label_file.split(os.sep  )[-1].rsplit("."	,    1  )[0]
		with open(A__  ) as in_file:
			snake_case__					: List[Any]  =    in_file.readlines()
		snake_case__					: int  =    os.path.join(A__	,    F'''{label_name}.jpg'''  )

		snake_case__					: Dict  =    []
		for obj_list in obj_lists:
			snake_case__					: Optional[Any]  =    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(A__  )
		labels.append(A__  )
	return img_paths, labels







def 	SCREAMING_SNAKE_CASE							(					snake_case_   :				list	,    snake_case_   :				list	,    snake_case_   :				int = 1  ):
	snake_case__					: int  =    []
	snake_case__					: Optional[int]  =    []
	snake_case__					: str  =    []
	for idx in range(len(A__  )  ):
		snake_case__					: Union[str, Any]  =    []
		snake_case__					: Any  =    img_list[idx]
		path_list.append(A__  )
		snake_case__					: Dict  =    anno_list[idx]
		snake_case__					: List[Any]  =    cva.imread(A__  )
		if flip_type == 1:
			snake_case__					: int  =    cva.flip(A__	,    A__  )
			for bbox in img_annos:
				snake_case__					: List[str]  =    1 - bbox[1]
				new_annos.append([bbox[0], x_center_new, bbox[2], bbox[3], bbox[4]]  )
		elif flip_type == 0:
			snake_case__					: Union[str, Any]  =    cva.flip(A__	,    A__  )
			for bbox in img_annos:
				snake_case__					: Any  =    1 - bbox[2]
				new_annos.append([bbox[0], bbox[1], y_center_new, bbox[3], bbox[4]]  )
		new_annos_lists.append(A__  )
		new_imgs_list.append(A__  )
	return new_imgs_list, new_annos_lists, path_list







def 	SCREAMING_SNAKE_CASE							(					snake_case_   :				int = 32  ):
	assert number_char > 1, "The number of character should greater than 1"
	snake_case__					: Optional[int]  =    ascii_lowercase + digits
	return "".join(random.choice(A__  ) for _ in range(A__  )  )


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






from typing import List

import datasets
from datasets.tasks import AudioClassification

from ..folder_based_builder import folder_based_builder


lowercase_   							=  datasets.utils.logging.get_logger(__name__)





class 					__lowerCAmelCase	(   folder_based_builder.FolderBasedBuilderConfig				):
  _a		     =    None
  _a		     =    None





class 					__lowerCAmelCase	(   folder_based_builder.FolderBasedBuilder				):
  _a		     =    datasets.Audio()
  _a		     =    """audio"""
  _a		     =    AudioFolderConfig
  _a		     =    42  # definition at the bottom of the script
  _a		     =    AudioClassification(audio_column="""audio"""     ,     label_column="""label"""				)
lowercase_   							=  [
    '.aiff',
    '.au',
    '.avr',
    '.caf',
    '.flac',
    '.htk',
    '.svx',
    '.mat4',
    '.mat5',
    '.mpc2k',
    '.ogg',
    '.paf',
    '.pvf',
    '.raw',
    '.rf64',
    '.sd2',
    '.sds',
    '.ircam',
    '.voc',
    '.w64',
    '.wav',
    '.nist',
    '.wavex',
    '.wve',
    '.xi',
    '.mp3',
    '.opus',
]
lowercase_   							=  AUDIO_EXTENSIONS


