



import math
import random

def        a						(      _UpperCAmelCase							:					float ,   _UpperCAmelCase							:					bool = False						):







		'''simple docstring'''





		if deriv:
				return value * (1 - value)
		return 1 / (1 + math.exp(-value						))


# Initial Value
__A   			=0.02

def        a						(      _UpperCAmelCase							:					int ,   _UpperCAmelCase							:					int						):







		'''simple docstring'''





		__UpperCAmelCase    :     Optional[int]													=	float(2 * (random.randint(1 ,   1_00						)) - 1						)

		for _ in range(_UpperCAmelCase						):
				# Forward propagation
				__UpperCAmelCase    :     Any													=	sigmoid_function(INITIAL_VALUE * weight						)
				# How much did we miss?
				__UpperCAmelCase    :     Union[str, Any]													=	(expected / 1_00) - layer_a
				# Error delta
				__UpperCAmelCase    :     Union[str, Any]													=	layer_1_error * sigmoid_function(_UpperCAmelCase ,   _UpperCAmelCase						)
				# Update weight
				weight += INITIAL_VALUE * layer_1_delta

		return layer_a * 1_00


if __name__ == "__main__":
				import doctest

				doctest.testmod()

				__A   			=int(input("Expected value: "))
				__A   			=int(input("Number of propagations: "))
				print(forward_propagation(expected, number_propagations))










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        a						(      ):







		'''simple docstring'''





		__UpperCAmelCase							,					__UpperCAmelCase    :     Union[str, Any]													=	get_dataset(_UpperCAmelCase ,   _UpperCAmelCase						)
		print('''Processing...'''						)
		__UpperCAmelCase							,					__UpperCAmelCase							,					__UpperCAmelCase    :     List[Any]													=	update_image_and_anno(_UpperCAmelCase ,   _UpperCAmelCase ,   _UpperCAmelCase						)

		for index, image in enumerate(_UpperCAmelCase						):
				# Get random string code: '7b7ad245cdff75241935e4dd860f3bad'
				__UpperCAmelCase    :     Any													=	random_chars(32						)
				__UpperCAmelCase    :     List[str]													=	paths[index].split(os.sep						)[-1].rsplit('''.''' ,   1						)[0]
				__UpperCAmelCase    :     Optional[Any]													=	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}'						)
				__UpperCAmelCase    :     Optional[Any]													=	[]
				for anno in new_annos[index]:
						__UpperCAmelCase    :     Union[str, Any]													=	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        a						(      _UpperCAmelCase							:					str ,   _UpperCAmelCase							:					str						):







		'''simple docstring'''





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

				__UpperCAmelCase    :     str													=	[]
				for obj_list in obj_lists:
						__UpperCAmelCase    :     str													=	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        a						(      _UpperCAmelCase							:					list ,   _UpperCAmelCase							:					list ,   _UpperCAmelCase							:					int = 1						):







		'''simple docstring'''





		__UpperCAmelCase    :     Dict													=	[]
		__UpperCAmelCase    :     Optional[Any]													=	[]
		__UpperCAmelCase    :     Any													=	[]
		for idx in range(len(_UpperCAmelCase						)						):
				__UpperCAmelCase    :     Tuple													=	[]
				__UpperCAmelCase    :     List[Any]													=	img_list[idx]
				path_list.append(_UpperCAmelCase						)
				__UpperCAmelCase    :     str													=	anno_list[idx]
				__UpperCAmelCase    :     str													=	cva.imread(_UpperCAmelCase						)
				if flip_type == 1:
						__UpperCAmelCase    :     Any													=	cva.flip(_UpperCAmelCase ,   _UpperCAmelCase						)
						for bbox in img_annos:
								__UpperCAmelCase    :     List[str]													=	1 - bbox[1]
								new_annos.append([bbox[0], x_center_new, bbox[2], bbox[3], bbox[4]]						)
				elif flip_type == 0:
						__UpperCAmelCase    :     Any													=	cva.flip(_UpperCAmelCase ,   _UpperCAmelCase						)
						for bbox in img_annos:
								__UpperCAmelCase    :     Union[str, Any]													=	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        a						(      _UpperCAmelCase							:					int = 32						):







		'''simple docstring'''





		assert number_char > 1, "The number of character should greater than 1"
		__UpperCAmelCase    :     Union[str, Any]													=	ascii_lowercase + digits
		return "".join(random.choice(_UpperCAmelCase						) for _ in range(_UpperCAmelCase						)						)


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





