



'''simple docstring'''




import numpy as np
import requests



def  __lowerCamelCase    (   ) ->     str:
							UpperCAmelCase	:						Optional[int]					=						requests.get(
							    """https://raw.githubusercontent.com/yashLadha/The_Math_of_Intelligence/"""
							    """master/Week1/ADRvsRating.csv"""						)
							UpperCAmelCase	:						Any					=						response.text.splitlines()
							UpperCAmelCase	:						Dict					=						[]
							for item in lines:
														UpperCAmelCase	:						Optional[Any]					=						item.split(""","""						)
														data.append(_lowercase						)
							data.pop(0						)  # This is for removing the labels from the list
							UpperCAmelCase	:						str					=						np.matrix(_lowercase						)
							return dataset



def  __lowerCamelCase    (   _lowercase      ,							_lowercase      ,							_lowercase      ,							_lowercase      ,							_lowercase						) ->     List[str]:
							UpperCAmelCase	:						Union[str, Any]					=						len_data

							UpperCAmelCase	:						Union[str, Any]					=						np.dot(_lowercase      ,							data_x.transpose()						)
							prod -= data_y.transpose()
							UpperCAmelCase	:						List[str]					=						np.dot(_lowercase      ,							_lowercase						)
							UpperCAmelCase	:						List[Any]					=						theta - (alpha / n) * sum_grad
							return theta



def  __lowerCamelCase    (   _lowercase      ,							_lowercase      ,							_lowercase      ,							_lowercase						) ->     List[str]:
							UpperCAmelCase	:						Tuple					=						np.dot(_lowercase      ,							data_x.transpose()						)
							prod -= data_y.transpose()
							UpperCAmelCase	:						List[Any]					=						np.sum(np.square(_lowercase						)						)
							UpperCAmelCase	:						List[str]					=						sum_elem / (2 * len_data)
							return error



def  __lowerCamelCase    (   _lowercase      ,							_lowercase						) ->     Dict:
							UpperCAmelCase	:						str					=						1_0_0_0_0_0
							UpperCAmelCase	:						Optional[int]					=						0.000_1550

							UpperCAmelCase	:						str					=						data_x.shape[1]
							UpperCAmelCase	:						List[Any]					=						data_x.shape[0] - 1

							UpperCAmelCase	:						List[Any]					=						np.zeros((1, no_features)						)

							for i in range(0      ,							_lowercase						):
														UpperCAmelCase	:						List[str]					=						run_steep_gradient_descent(_lowercase      ,							_lowercase      ,							_lowercase      ,							_lowercase      ,							_lowercase						)
														UpperCAmelCase	:						Optional[int]					=						sum_of_square_error(_lowercase      ,							_lowercase      ,							_lowercase      ,							_lowercase						)
														print(F'''At Iteration {i + 1} - Error is {error:.5f}'''						)

							return theta



def  __lowerCamelCase    (   _lowercase      ,							_lowercase						) ->     Dict:
							UpperCAmelCase	:						int					=						sum(abs(y - predicted_y[i]						) for i, y in enumerate(_lowercase						)						)
							return total / len(_lowercase						)



def  __lowerCamelCase    (   ) ->     str:
							UpperCAmelCase	:						int					=						collect_dataset()

							UpperCAmelCase	:						List[str]					=						data.shape[0]
							UpperCAmelCase	:						str					=						np.c_[np.ones(_lowercase						), data[:, :-1]].astype(_lowercase						)
							UpperCAmelCase	:						Optional[int]					=						data[:, -1].astype(_lowercase						)

							UpperCAmelCase	:						List[str]					=						run_linear_regression(_lowercase      ,							_lowercase						)
							UpperCAmelCase	:						Tuple					=						theta.shape[1]
							print("""Resultant Feature vector : """						)
							for i in range(0      ,							_lowercase						):
														print(F'''{theta[0, i]:.5f}'''						)


if __name__ == "__main__":
							main()






'''simple docstring'''




class      UpperCamelCase_					:





	def __init__(    self       )     ->     None:
								UpperCAmelCase	:						int					=						[0, 1]






	def 					_lowercase(    self						,						A       )     ->     list:
								if (difference := index - (len(self.sequence       ) - 2)) >= 1:
															for _ in range(A       ):
																						self.sequence.append(self.sequence[-1] + self.sequence[-2]       )
								return self.sequence[:index]




def  __lowerCamelCase    (   ) ->     None:
							print(
							    """Fibonacci Series Using Dynamic Programming\n"""      ,							"""Enter the index of the Fibonacci number you want to calculate """      ,							"""in the prompt below. (To exit enter exit or Ctrl-C)\n"""      ,							sep=""""""      ,							)
							UpperCAmelCase	:						Tuple					=						Fibonacci()

							while True:
														UpperCAmelCase	:						str					=						input(""">> """						)
														if prompt in {"exit", "quit"}:
																					break

														try:
																					UpperCAmelCase	:						int					=						int(_lowercase						)
														except ValueError:
																					print("""Enter a number or 'exit'"""						)
																					continue

														print(fibonacci.get(_lowercase						)						)


if __name__ == "__main__":
							main()

