


import requests
from bsa import BeautifulSoup



def 			_lowerCAmelCase						(							lowerCAmelCase_							:int		,						lowerCAmelCase_							:str							)->str:
   '''simple docstring'''






   snake_case_					    =					(
       "https://www.horoscope.com/us/horoscopes/general/"
       F'''horoscope-general-daily-{day}.aspx?sign={zodiac_sign}'''
   )
   snake_case_					    =					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''',
   )
   SCREAMING_SNAKE_CASE	:List[str]  		=     int(input('''number> ''').strip())
   print('''choose some day:\n''', '''yesterday\n''', '''today\n''', '''tomorrow\n''')
   SCREAMING_SNAKE_CASE	:Any  		=     input('''enter the day> ''')
   SCREAMING_SNAKE_CASE	:List[Any]  		=     horoscope(zodiac_sign, day)
   print(horoscope_text)








from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


SCREAMING_SNAKE_CASE	:List[str]  		=     {
    '''configuration_prophetnet''': ['''PROPHETNET_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''ProphetNetConfig'''],
    '''tokenization_prophetnet''': ['''ProphetNetTokenizer'''],
}

try:
   if not is_torch_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   SCREAMING_SNAKE_CASE	:List[str]  		=     [
       '''PROPHETNET_PRETRAINED_MODEL_ARCHIVE_LIST''',
       '''ProphetNetDecoder''',
       '''ProphetNetEncoder''',
       '''ProphetNetForCausalLM''',
       '''ProphetNetForConditionalGeneration''',
       '''ProphetNetModel''',
       '''ProphetNetPreTrainedModel''',
   ]


if TYPE_CHECKING:
   from .configuration_prophetnet import PROPHETNET_PRETRAINED_CONFIG_ARCHIVE_MAP, ProphetNetConfig
   from .tokenization_prophetnet import ProphetNetTokenizer

   try:
      if not is_torch_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .modeling_prophetnet import (
          PROPHETNET_PRETRAINED_MODEL_ARCHIVE_LIST,
          ProphetNetDecoder,
          ProphetNetEncoder,
          ProphetNetForCausalLM,
          ProphetNetForConditionalGeneration,
          ProphetNetModel,
          ProphetNetPreTrainedModel,
      )

else:
   import sys

   SCREAMING_SNAKE_CASE	:int  		=     _LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)




