






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

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

def      __lowercase					( ):







				"""simple docstring"""






				__magic_name__		:Optional[Any]        =      get_dataset(snake_case,  snake_case )
				print('''Processing...''' )
				__magic_name__		:Union[str, Any]        =      update_image_and_anno(snake_case,  snake_case,  snake_case )

				for index, image in enumerate(snake_case ):
								# Get random string code: '7b7ad245cdff75241935e4dd860f3bad'
								__magic_name__		:Optional[int]        =      random_chars(3_2 )
								__magic_name__		:Optional[int]        =      paths[index].split(os.sep )[-1].rsplit('''.''',  1 )[0]
								__magic_name__		:Dict        =      f'''{OUTPUT_DIR}/{file_name}_FLIP_{letter_code}'''
								cva.imwrite(f'''/{file_root}.jpg''',  snake_case,  [cva.IMWRITE_JPEG_QUALITY, 8_5] )
								print(f'''Success {index+1}/{len(snake_case )} with {file_name}''' )
								__magic_name__		:Any        =      []
								for anno in new_annos[index]:
												__magic_name__		:Dict        =      f'''{anno[0]} {anno[1]} {anno[2]} {anno[3]} {anno[4]}'''
												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,  snake_case ):







				"""simple docstring"""






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

								__magic_name__		:int        =      []
								for obj_list in obj_lists:
												__magic_name__		:Optional[int]        =      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(snake_case )
								labels.append(snake_case )
				return img_paths, labels

def      __lowercase					( snake_case,  snake_case,  snake_case = 1 ):







				"""simple docstring"""






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

def      __lowercase					( snake_case = 3_2 ):







				"""simple docstring"""






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


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














from ...processing_utils import ProcessorMixin
class 						lowerCamelCase_				(      lowerCamelCase ):
				a__					       =  '''WhisperFeatureExtractor'''
				a__					       =  '''WhisperTokenizer'''







				def __init__(						self       ,					__lowerCAmelCase       ,					__lowerCAmelCase     ):
								"""simple docstring"""
								super().__init__(__lowerCAmelCase       ,					__lowerCAmelCase     )
								__magic_name__		:int        =      self.feature_extractor
								__magic_name__		:int        =      False







				def 			A	(						self       ,					__lowerCAmelCase=None       ,					__lowerCAmelCase=None       ,					__lowerCAmelCase=True     ):
								"""simple docstring"""
								return self.tokenizer.get_decoder_prompt_ids(task=__lowerCAmelCase       ,					language=__lowerCAmelCase       ,					no_timestamps=__lowerCAmelCase     )







				def __call__(						self       ,					*__lowerCAmelCase       ,					**__lowerCAmelCase     ):
								"""simple docstring"""
								# For backward compatibility
								if self._in_target_context_manager:
												return self.current_processor(*__lowerCAmelCase       ,					**__lowerCAmelCase     )

								__magic_name__		:List[Any]        =      kwargs.pop('''audio'''       ,					__lowerCAmelCase     )
								__magic_name__		:Any        =      kwargs.pop('''sampling_rate'''       ,					__lowerCAmelCase     )
								__magic_name__		:str        =      kwargs.pop('''text'''       ,					__lowerCAmelCase     )
								if len(__lowerCAmelCase     ) > 0:
												__magic_name__		:Any        =      args[0]
												__magic_name__		:Union[str, Any]        =      args[1:]

								if audio is None and text is None:
												raise ValueError('''You need to specify either an `audio` or `text` input to process.'''     )

								if audio is not None:
												__magic_name__		:Optional[int]        =      self.feature_extractor(__lowerCAmelCase       ,					*__lowerCAmelCase       ,					sampling_rate=__lowerCAmelCase       ,					**__lowerCAmelCase     )
								if text is not None:
												__magic_name__		:Optional[int]        =      self.tokenizer(__lowerCAmelCase       ,					**__lowerCAmelCase     )

								if text is None:
												return inputs

								elif audio is None:
												return encodings
								else:
												__magic_name__		:str        =      encodings['''input_ids''']
												return inputs







				def 			A	(						self       ,					*__lowerCAmelCase       ,					**__lowerCAmelCase     ):
								"""simple docstring"""
								return self.tokenizer.batch_decode(*__lowerCAmelCase       ,					**__lowerCAmelCase     )







				def 			A	(						self       ,					*__lowerCAmelCase       ,					**__lowerCAmelCase     ):
								"""simple docstring"""
								return self.tokenizer.decode(*__lowerCAmelCase       ,					**__lowerCAmelCase     )







				def 			A	(						self       ,					__lowerCAmelCase       ,					__lowerCAmelCase="np"     ):
								"""simple docstring"""
								return self.tokenizer.get_prompt_ids(__lowerCAmelCase       ,					return_tensors=__lowerCAmelCase     )






