






'''simple docstring'''







import requests
from bsa import BeautifulSoup





def 					SCREAMING_SNAKE_CASE_			(UpperCamelCase							,     UpperCamelCase ) ->			str:
							lowerCamelCase__   :      Dict			    =			(
							    """https://www.horoscope.com/us/horoscopes/general/"""
							    f'''horoscope-general-daily-{day}.aspx?sign={zodiac_sign}'''
							)
							lowerCamelCase__   :      Any			    =			BeautifulSoup(requests.get(UpperCamelCase ).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''',
			)
			_A      :     int       	=int(input('''number> ''').strip())
			print('''choose some day:\n''', '''yesterday\n''', '''today\n''', '''tomorrow\n''')
			_A      :     Any       	=input('''enter the day> ''')
			_A      :     Optional[int]       	=horoscope(zodiac_sign, day)
			print(horoscope_text)









'''simple docstring'''







from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tokenizers_available, is_torch_available


_A      :     Optional[Any]       	={
    '''configuration_realm''': ['''REALM_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''RealmConfig'''],
    '''tokenization_realm''': ['''RealmTokenizer'''],
}

try:
			if not is_tokenizers_available():
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			pass
else:
			_A      :     str       	=['''RealmTokenizerFast''']

try:
			if not is_torch_available():
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			pass
else:
			_A      :     List[Any]       	=[
			    '''REALM_PRETRAINED_MODEL_ARCHIVE_LIST''',
			    '''RealmEmbedder''',
			    '''RealmForOpenQA''',
			    '''RealmKnowledgeAugEncoder''',
			    '''RealmPreTrainedModel''',
			    '''RealmReader''',
			    '''RealmScorer''',
			    '''load_tf_weights_in_realm''',
			]
			_A      :     Union[str, Any]       	=['''RealmRetriever''']


if TYPE_CHECKING:
			from .configuration_realm import REALM_PRETRAINED_CONFIG_ARCHIVE_MAP, RealmConfig
			from .tokenization_realm import RealmTokenizer

			try:
						if not is_tokenizers_available():
									raise OptionalDependencyNotAvailable()
			except OptionalDependencyNotAvailable:
						pass
			else:
						from .tokenization_realm import RealmTokenizerFast

			try:
						if not is_torch_available():
									raise OptionalDependencyNotAvailable()
			except OptionalDependencyNotAvailable:
						pass
			else:
						from .modeling_realm import (
						    REALM_PRETRAINED_MODEL_ARCHIVE_LIST,
						    RealmEmbedder,
						    RealmForOpenQA,
						    RealmKnowledgeAugEncoder,
						    RealmPreTrainedModel,
						    RealmReader,
						    RealmScorer,
						    load_tf_weights_in_realm,
						)
						from .retrieval_realm import RealmRetriever


else:
			import sys

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

