code: 
  
  
  
  """simple docstring"""
  
  import numpy as np
  import requests
  
  
  
  def   UpperCamelCase__     (		):
  		snake_case		:						Optional[Any]								=				requests.get(
  		    "https://raw.githubusercontent.com/yashLadha/The_Math_of_Intelligence/"
  		    "master/Week1/ADRvsRating.csv"   )
  		snake_case		:						List[str]								=				response.text.splitlines()
  		snake_case		:						Union[str, Any]								=				[]
  		for item in lines:
  				snake_case		:						Tuple								=				item.split(","   )
  				data.append(lowercase__   )
  		data.pop(0   )  # This is for removing the labels from the list
  		snake_case		:						int								=				np.matrix(lowercase__   )
  		return dataset
  
  
  
  def   UpperCamelCase__     (		lowercase__  :     str       ,     lowercase__  :     str       ,     lowercase__  :     Optional[int]       ,     lowercase__  :     int       ,     lowercase__  :     Optional[Any]   ):
  		snake_case		:						str								=				len_data
  
  		snake_case		:						Dict								=				np.dot(lowercase__       ,     data_x.transpose()   )
  		prod -= data_y.transpose()
  		snake_case		:						Optional[Any]								=				np.dot(lowercase__       ,     lowercase__   )
  		snake_case		:						Tuple								=				theta - (alpha / n) * sum_grad
  		return theta
  
  
  
  def   UpperCamelCase__     (		lowercase__  :     Union[str, Any]       ,     lowercase__  :     List[str]       ,     lowercase__  :     List[Any]       ,     lowercase__  :     Union[str, Any]   ):
  		snake_case		:						Any								=				np.dot(lowercase__       ,     data_x.transpose()   )
  		prod -= data_y.transpose()
  		snake_case		:						Optional[int]								=				np.sum(np.square(lowercase__   )   )
  		snake_case		:						Union[str, Any]								=				sum_elem / (2 * len_data)
  		return error
  
  
  
  def   UpperCamelCase__     (		lowercase__  :     Dict       ,     lowercase__  :     Optional[int]   ):
  		snake_case		:						Union[str, Any]								=				10_0000
  		snake_case		:						int								=				0.0_00_15_50
  
  		snake_case		:						List[str]								=				data_x.shape[1]
  		snake_case		:						int								=				data_x.shape[0] - 1
  
  		snake_case		:						List[Any]								=				np.zeros((1, no_features)   )
  
  		for i in range(0       ,     lowercase__   ):
  				snake_case		:						Tuple								=				run_steep_gradient_descent(lowercase__       ,     lowercase__       ,     lowercase__       ,     lowercase__       ,     lowercase__   )
  				snake_case		:						Optional[int]								=				sum_of_square_error(lowercase__       ,     lowercase__       ,     lowercase__       ,     lowercase__   )
  				print(F'''At Iteration {i + 1} - Error is {error:.5f}'''   )
  
  		return theta
  
  
  
  def   UpperCamelCase__     (		lowercase__  :     Dict       ,     lowercase__  :     List[Any]   ):
  		snake_case		:						int								=				sum(abs(y - predicted_y[i]   ) for i, y in enumerate(lowercase__   )   )
  		return total / len(lowercase__   )
  
  
  
  def   UpperCamelCase__     (		):
  		snake_case		:						int								=				collect_dataset()
  
  		snake_case		:						Dict								=				data.shape[0]
  		snake_case		:						str								=				np.c_[np.ones(lowercase__   ), data[:, :-1]].astype(lowercase__   )
  		snake_case		:						Optional[int]								=				data[:, -1].astype(lowercase__   )
  
  		snake_case		:						str								=				run_linear_regression(lowercase__       ,     lowercase__   )
  		snake_case		:						Optional[Any]								=				theta.shape[1]
  		print("Resultant Feature vector : "   )
  		for i in range(0       ,     lowercase__   ):
  				print(F'''{theta[0, i]:.5f}'''   )
  
  
  if __name__ == "__main__":
  							main()
  
  
style_context: 
  
  
  
  
  """simple docstring"""
  
  import random
  
  
  
  def   UpperCamelCase__     (		lowercase__  :     Union[str, Any]   ):
  
  		def is_sorted(lowercase__  :     int   ):
  				for i in range(len(lowercase__   ) - 1   ):
  						if collection[i] > collection[i + 1]:
  								return False
  				return True
  
  		while not is_sorted(lowercase__   ):
  				random.shuffle(lowercase__   )
  		return collection
  
  
  if __name__ == "__main__":
  							__A 		=			input("Enter numbers separated by a comma:\n").strip()
  							__A 		=			[int(item) for item in user_input.split(",")]
  							print(bogo_sort(unsorted))
  
  