




"""simple docstring"""







import numpy as np
import requests





def 							lowercase   ()       ->					Optional[int]:


				'''simple docstring'''






				lowerCAmelCase		=			requests.get(
				    """https://raw.githubusercontent.com/yashLadha/The_Math_of_Intelligence/"""
				    """master/Week1/ADRvsRating.csv"""	)
				lowerCAmelCase		=			response.text.splitlines()
				lowerCAmelCase		=			[]
				for item in lines:
								lowerCAmelCase		=			item.split(""","""	)
								data.append(snake_case__	)
				data.pop(0	)  # This is for removing the labels from the list
				lowerCAmelCase		=			np.matrix(snake_case__	)
				return dataset





def 							lowercase   (snake_case__				:	List[str] ,    snake_case__				:	int ,    snake_case__				:	List[str] ,    snake_case__				:	Tuple ,    snake_case__				:	Union[str, Any]	)       ->					str:


				'''simple docstring'''






				lowerCAmelCase		=			len_data

				lowerCAmelCase		=			np.dot(snake_case__ ,    data_x.transpose()	)
				prod -= data_y.transpose()
				lowerCAmelCase		=			np.dot(snake_case__ ,    snake_case__	)
				lowerCAmelCase		=			theta - (alpha / n) * sum_grad
				return theta





def 							lowercase   (snake_case__				:	Any ,    snake_case__				:	int ,    snake_case__				:	Any ,    snake_case__				:	Dict	)       ->					List[str]:


				'''simple docstring'''






				lowerCAmelCase		=			np.dot(snake_case__ ,    data_x.transpose()	)
				prod -= data_y.transpose()
				lowerCAmelCase		=			np.sum(np.square(snake_case__	)	)
				lowerCAmelCase		=			sum_elem / (2 * len_data)
				return error





def 							lowercase   (snake_case__				:	Optional[Any] ,    snake_case__				:	List[Any]	)       ->					str:


				'''simple docstring'''






				lowerCAmelCase		=			100_000
				lowerCAmelCase		=			0.0_001_550

				lowerCAmelCase		=			data_x.shape[1]
				lowerCAmelCase		=			data_x.shape[0] - 1

				lowerCAmelCase		=			np.zeros((1, no_features)	)

				for i in range(0 ,    snake_case__	):
								lowerCAmelCase		=			run_steep_gradient_descent(snake_case__ ,    snake_case__ ,    snake_case__ ,    snake_case__ ,    snake_case__	)
								lowerCAmelCase		=			sum_of_square_error(snake_case__ ,    snake_case__ ,    snake_case__ ,    snake_case__	)
								print(f'''At Iteration {i + 1} - Error is {error:.5f}'''	)

				return theta





def 							lowercase   (snake_case__				:	List[str] ,    snake_case__				:	Optional[int]	)       ->					List[str]:


				'''simple docstring'''






				lowerCAmelCase		=			sum(abs(y - predicted_y[i]	) for i, y in enumerate(snake_case__	)	)
				return total / len(snake_case__	)





def 							lowercase   ()       ->					Optional[int]:


				'''simple docstring'''






				lowerCAmelCase		=			collect_dataset()

				lowerCAmelCase		=			data.shape[0]
				lowerCAmelCase		=			np.c_[np.ones(snake_case__	), data[:, :-1]].astype(snake_case__	)
				lowerCAmelCase		=			data[:, -1].astype(snake_case__	)

				lowerCAmelCase		=			run_linear_regression(snake_case__ ,    snake_case__	)
				lowerCAmelCase		=			theta.shape[1]
				print("""Resultant Feature vector : """	)
				for i in range(0 ,    snake_case__	):
								print(f'''{theta[0, i]:.5f}'''	)


if __name__ == "__main__":
		main()








"""simple docstring"""







def 							lowercase   (snake_case__				:	int	)       ->					int:


				'''simple docstring'''






				barcode //= 10  # exclude the last digit
				lowerCAmelCase		=			False
				lowerCAmelCase		=			0

				# extract and check each digit
				while barcode != 0:
								lowerCAmelCase		=			1 if checker else 3
								s += mult * (barcode % 10)
								barcode //= 10
								lowerCAmelCase		=			not checker

				return (10 - (s % 10)) % 10





def 							lowercase   (snake_case__				:	int	)       ->					bool:


				'''simple docstring'''






				return len(str(snake_case__	)	) == 13 and get_check_digit(snake_case__	) == barcode % 10





def 							lowercase   (snake_case__				:	str	)       ->					int:


				'''simple docstring'''






				if str(snake_case__	).isalpha():
								lowerCAmelCase		=			f'''Barcode \'{barcode}\' has alphabetic characters.'''
								raise ValueError(snake_case__	)
				elif int(snake_case__	) < 0:
								raise ValueError("""The entered barcode has a negative value. Try again."""	)
				else:
								return int(snake_case__	)


if __name__ == "__main__":
		import doctest

		doctest.testmod()
		a								=							get_barcode(input('Barcode: ').strip())

		if is_valid(barcode):
				print(f"""'{barcode}' is a valid barcode.""")
		else:
				print(f"""'{barcode}' is NOT a valid barcode.""")





