






"""simple docstring"""
import numpy as np
import requests






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






def        lowerCamelCase_  (						_lowerCamelCase			,   _lowerCamelCase			,   _lowerCamelCase			,   _lowerCamelCase			,   _lowerCamelCase				):
 lowerCamelCase__     :			int     				=						len_data

 lowerCamelCase__     :			Dict     				=						np.dot(_lowerCamelCase			,   data_x.transpose()				)
 prod -= data_y.transpose()
 lowerCamelCase__     :			Optional[int]     				=						np.dot(_lowerCamelCase			,   _lowerCamelCase				)
 lowerCamelCase__     :			Optional[Any]     				=						theta - (alpha / n) * sum_grad
 return theta






def        lowerCamelCase_  (						_lowerCamelCase			,   _lowerCamelCase			,   _lowerCamelCase			,   _lowerCamelCase				):
 lowerCamelCase__     :			Dict     				=						np.dot(_lowerCamelCase			,   data_x.transpose()				)
 prod -= data_y.transpose()
 lowerCamelCase__     :			Optional[Any]     				=						np.sum(np.square(_lowerCamelCase				)				)
 lowerCamelCase__     :			str     				=						sum_elem / (2 * len_data)
 return error






def        lowerCamelCase_  (						_lowerCamelCase			,   _lowerCamelCase				):
 lowerCamelCase__     :			Optional[Any]     				=						10_0000
 lowerCamelCase__     :			Union[str, Any]     				=						0.0_001_550

 lowerCamelCase__     :			Optional[Any]     				=						data_x.shape[1]
 lowerCamelCase__     :			int     				=						data_x.shape[0] - 1

 lowerCamelCase__     :			Union[str, Any]     				=						np.zeros((1, no_features)				)

 for i in range(0			,   _lowerCamelCase				):
  lowerCamelCase__     :			List[str]     				=						run_steep_gradient_descent(_lowerCamelCase			,   _lowerCamelCase			,   _lowerCamelCase			,   _lowerCamelCase			,   _lowerCamelCase				)
  lowerCamelCase__     :			Union[str, Any]     				=						sum_of_square_error(_lowerCamelCase			,   _lowerCamelCase			,   _lowerCamelCase			,   _lowerCamelCase				)
  print(f'''At Iteration {i + 1} - Error is {error:.5f}'''				)

 return theta






def        lowerCamelCase_  (						_lowerCamelCase			,   _lowerCamelCase				):
 lowerCamelCase__     :			Optional[Any]     				=						sum(abs(y - predicted_y[i]				) for i, y in enumerate(_lowerCamelCase				)				)
 return total / len(_lowerCamelCase				)






def        lowerCamelCase_  (						):
 lowerCamelCase__     :			int     				=						collect_dataset()

 lowerCamelCase__     :			int     				=						data.shape[0]
 lowerCamelCase__     :			Optional[int]     				=						np.c_[np.ones(_lowerCamelCase				), data[:, :-1]].astype(_lowerCamelCase				)
 lowerCamelCase__     :			List[Any]     				=						data[:, -1].astype(_lowerCamelCase				)

 lowerCamelCase__     :			int     				=						run_linear_regression(_lowerCamelCase			,   _lowerCamelCase				)
 lowerCamelCase__     :			List[str]     				=						theta.shape[1]
 print('Resultant Feature vector : '				)
 for i in range(0			,   _lowerCamelCase				):
  print(f'''{theta[0, i]:.5f}'''				)


if __name__ == "__main__":
      main()









"""simple docstring"""



import requests
from bsa import BeautifulSoup


def      SCREAMING_SNAKE_CASE__    (   snake_case    :      int       , snake_case    :      str							)->						str:






     '''simple docstring'''



     UpperCAmelCase__		:  Union[str, Any]				=				(
         "https://www.horoscope.com/us/horoscopes/general/"
         f'horoscope-general-daily-{day}.aspx?sign={zodiac_sign}'
     )
     UpperCAmelCase__		:  List[str]				=				BeautifulSoup(requests.get(snake_case							).content       , "html.parser"							)
     return soup.find("div"       , class_="main-horoscope"							).p.text


if __name__ == "__main__":
 print("""Daily Horoscope. \n""")
 print(
     """enter your Zodiac sign number:\n""",
     """1. Aries\n""",
     """2. Taurus\n""",
     """3. Gemini\n""",
     """4. Cancer\n""",
     """5. Leo\n""",
     """6. Virgo\n""",
     """7. Libra\n""",
     """8. Scorpio\n""",
     """9. Sagittarius\n""",
     """10. Capricorn\n""",
     """11. Aquarius\n""",
     """12. Pisces\n""",
 )
 _lowerCAmelCase     :     List[str]            =	int(input("""number> """).strip())
 print("""choose some day:\n""", """yesterday\n""", """today\n""", """tomorrow\n""")
 _lowerCAmelCase     :     int            =	input("""enter the day> """)
 _lowerCAmelCase     :     Any            =	horoscope(zodiac_sign, day)
 print(horoscope_text)


