

'''simple docstring'''





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

import cva
A_	= ""
A_	= ""
A_	= ""
A_	= 1  # (0 is vertical, 1 is horizontal)







def   _UpperCamelCase	(		)       ->			None:
					lowerCamelCase_				,lowerCamelCase_  				=      get_dataset(__UpperCamelCase    ,__UpperCamelCase	)
					print('Processing...'	)
					lowerCamelCase_				,lowerCamelCase_				,lowerCamelCase_  				=      update_image_and_anno(__UpperCamelCase    ,__UpperCamelCase    ,__UpperCamelCase	)

					for index, image in enumerate(__UpperCamelCase	):
										# Get random string code: '7b7ad245cdff75241935e4dd860f3bad'
										lowerCamelCase_  				=      random_chars(32	)
										lowerCamelCase_  				=      paths[index].split(os.sep	)[-1].rsplit('.'    ,1	)[0]
										lowerCamelCase_  				=      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}'''	)
										lowerCamelCase_  				=      []
										for anno in new_annos[index]:
															lowerCamelCase_  				=      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   _UpperCamelCase	(		__UpperCamelCase    ,__UpperCamelCase	)       ->			tuple[list, list]:
					lowerCamelCase_  				=      []
					lowerCamelCase_  				=      []
					for label_file in glob.glob(os.path.join(__UpperCamelCase    ,'*.txt'	)	):
										lowerCamelCase_  				=      label_file.split(os.sep	)[-1].rsplit('.'    ,1	)[0]
										with open(__UpperCamelCase	) as in_file:
															lowerCamelCase_  				=      in_file.readlines()
										lowerCamelCase_  				=      os.path.join(__UpperCamelCase    ,f'''{label_name}.jpg'''	)

										lowerCamelCase_  				=      []
										for obj_list in obj_lists:
															lowerCamelCase_  				=      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   _UpperCamelCase	(		__UpperCamelCase    ,__UpperCamelCase    ,__UpperCamelCase = 1	)       ->			tuple[list, list, list]:
					lowerCamelCase_  				=      []
					lowerCamelCase_  				=      []
					lowerCamelCase_  				=      []
					for idx in range(len(__UpperCamelCase	)	):
										lowerCamelCase_  				=      []
										lowerCamelCase_  				=      img_list[idx]
										path_list.append(__UpperCamelCase	)
										lowerCamelCase_  				=      anno_list[idx]
										lowerCamelCase_  				=      cva.imread(__UpperCamelCase	)
										if flip_type == 1:
															lowerCamelCase_  				=      cva.flip(__UpperCamelCase    ,__UpperCamelCase	)
															for bbox in img_annos:
																				lowerCamelCase_  				=      1 - bbox[1]
																				new_annos.append([bbox[0], x_center_new, bbox[2], bbox[3], bbox[4]]	)
										elif flip_type == 0:
															lowerCamelCase_  				=      cva.flip(__UpperCamelCase    ,__UpperCamelCase	)
															for bbox in img_annos:
																				lowerCamelCase_  				=      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   _UpperCamelCase	(		__UpperCamelCase = 32	)       ->			str:
					assert number_char > 1, "The number of character should greater than 1"
					lowerCamelCase_  				=      ascii_lowercase + digits
					return "".join(random.choice(__UpperCamelCase	) for _ in range(__UpperCamelCase	)	)


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







"""simple docstring"""






from __future__ import annotations

from math import pi
from typing import Protocol

import matplotlib.pyplot as plt
import numpy as np






class      A(  lowerCamelCase__		):

		"""simple docstring"""





		def   _UpperCamelCase( self					,				SCREAMING_SNAKE_CASE__   )      ->	float:

					"""simple docstring"""



					return 0.0





def 				A_       ( snake_case__       ,					snake_case__		)					->  tuple[int | float, int | float]:
			_UpperCamelCase					:Union[str, Any]					     =	min([-20, np.min(fft_results[1 : samplerate // 2 - 1]		)]		)
			_UpperCamelCase					:Optional[int]					     =	max([20, np.max(fft_results[1 : samplerate // 2 - 1]		)]		)
			return lowest, highest





def 				A_       ( snake_case__       ,					snake_case__		)					->  None:
			_UpperCamelCase					:List[str]					     =	5_12
			_UpperCamelCase					:int					     =	[1] + [0] * (size - 1)
			_UpperCamelCase					:Union[str, Any]					     =	[filter_type.process(snake_case__		) for item in inputs]

			_UpperCamelCase					:Any					     =	[0] * (samplerate - size)  # zero-padding
			outputs += filler
			_UpperCamelCase					:int					     =	np.abs(np.fft.fft(snake_case__		)		)
			_UpperCamelCase					:str					     =	20 * np.logaa(snake_case__		)

			# Frequencies on log scale from 24 to nyquist frequency
			plt.xlim(24       ,					samplerate / 2 - 1		)
			plt.xlabel('''Frequency (Hz)'''		)
			plt.xscale('''log'''		)

			# Display within reasonable bounds
			_UpperCamelCase					:Tuple					     =	get_bounds(snake_case__       ,					snake_case__		)
			plt.ylim(max([-80, bounds[0]]		)       ,					min([80, bounds[1]]		)		)
			plt.ylabel('''Gain (dB)'''		)

			plt.plot(snake_case__		)
			plt.show()





def 				A_       ( snake_case__       ,					snake_case__		)					->  None:
			_UpperCamelCase					:Tuple					     =	5_12
			_UpperCamelCase					:Union[str, Any]					     =	[1] + [0] * (size - 1)
			_UpperCamelCase					:List[Any]					     =	[filter_type.process(snake_case__		) for item in inputs]

			_UpperCamelCase					:str					     =	[0] * (samplerate - size)  # zero-padding
			outputs += filler
			_UpperCamelCase					:Tuple					     =	np.angle(np.fft.fft(snake_case__		)		)

			# Frequencies on log scale from 24 to nyquist frequency
			plt.xlim(24       ,					samplerate / 2 - 1		)
			plt.xlabel('''Frequency (Hz)'''		)
			plt.xscale('''log'''		)

			plt.ylim(-2 * pi       ,					2 * pi		)
			plt.ylabel('''Phase shift (Radians)'''		)
			plt.plot(np.unwrap(snake_case__       ,					-2 * pi		)		)
			plt.show()

