code: 
  '''simple docstring'''
  
  import requests
  from bsa import BeautifulSoup
  
  
  def 	_UpperCAmelCase				(  _lowerCamelCase						:       int  ,      _lowerCamelCase						:       str		)    ->						str:
    _lowerCAmelCase       :  Dict   				=					(
        """https://www.horoscope.com/us/horoscopes/general/"""
        f'horoscope-general-daily-{day}.aspx?sign={zodiac_sign}'
    )
    _lowerCAmelCase       :  Any   				=					BeautifulSoup(requests.get(_lowerCamelCase		).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""",
       )
       UpperCamelCase_     			=       int(input("""number> """).strip())
       print("""choose some day:\n""", """yesterday\n""", """today\n""", """tomorrow\n""")
       UpperCamelCase_     			=       input("""enter the day> """)
       UpperCamelCase_     			=       horoscope(zodiac_sign, day)
       print(horoscope_text)
  
  
  
style_context: 
  '''simple docstring'''
  
  from cva import COLOR_BGR2GRAY, cvtColor, imread, imshow, waitKey
  from numpy import divide, inta, multiply, ravel, sort, zeros_like
  
  
  def 	_UpperCAmelCase				(  _lowerCamelCase						:       str  ,      _lowerCamelCase						:       List[Any]=3		)    ->						Union[str, Any]:
    _lowerCAmelCase       :  str   				=					int(mask / 2		)
    # copy image size
    _lowerCAmelCase       :  Dict   				=					zeros_like(_lowerCamelCase		)
    for i in range(_lowerCamelCase  ,      gray_img.shape[0] - bd		):
      for j in range(_lowerCamelCase  ,      gray_img.shape[1] - bd		):
        # get mask according with mask
        _lowerCAmelCase       :  Union[str, Any]   				=					ravel(gray_img[i - bd : i + bd + 1, j - bd : j + bd + 1]		)
        # calculate mask median
        _lowerCAmelCase       :  str   				=					sort(_lowerCamelCase		)[inta(divide((multiply(_lowerCamelCase  ,      _lowerCamelCase		))  ,      2		) + 1		)]
        _lowerCAmelCase       :  Dict   				=					median
    return median_img
  
  
  if __name__ == "__main__":
       # read original image
       UpperCamelCase_     			=       imread("""../image_data/lena.jpg""")
       # turn image in gray scale value
       UpperCamelCase_     			=       cvtColor(img, COLOR_BGR2GRAY)
  
       # get values with two different mask size
       UpperCamelCase_     			=       median_filter(gray, 3)
       UpperCamelCase_     			=       median_filter(gray, 5)
  
       # show result images
       imshow("""median filter with 3x3 mask""", medianaxa)
       imshow("""median filter with 5x5 mask""", medianaxa)
       waitKey(0)
  
  
  