






from urllib.error import HTTPError

from bsa import BeautifulSoup
from requests import exceptions, get

SCREAMING_SNAKE_CASE       							=  'https://www.wellrx.com/prescriptions/{0}/{1}/?freshSearch=true'

def    _lowerCamelCase		(  __A			:							str						,						__A			:							str       )					->    Optional[Any]:

    try:
        # Has user provided both inputs?
        if not drug_name or not zip_code:
            return None

        _UpperCAmelCase :					Tuple	     = BASE_URL.format(A_						,						A_       )
        _UpperCAmelCase :					str	     = get(A_       )

        # Is the response ok?
        response.raise_for_status()

        # Scrape the data using bs4
        _UpperCAmelCase :					int	     = BeautifulSoup(response.text						,						'''html.parser'''       )

        # This list will store the name and price.
        _UpperCAmelCase :					Optional[Any]	     = []

        # Fetch all the grids that contains the items.
        _UpperCAmelCase :					Optional[Any]	     = soup.find_all('''div'''						,						{'''class''': '''grid-x pharmCard'''}       )
        if grid_list and len(A_       ) > 0:
            for grid in grid_list:
                # Get the pharmacy price.
                _UpperCAmelCase :					List[str]	     = grid.find('''p'''						,						{'''class''': '''list-title'''}       ).text

                # Get price of the drug.
                _UpperCAmelCase :					Union[str, Any]	     = grid.find('''span'''						,						{'''p''', '''price price-large'''}       ).text

                pharmacy_price_list.append(
                    {
                        '''pharmacy_name''': pharmacy_name,
                        '''price''': price,
                    }       )

        return pharmacy_price_list

    except (HTTPError, exceptions.RequestException, ValueError):
        return None


if __name__ == "__main__":
  # Enter a drug name and a zip code
  SCREAMING_SNAKE_CASE       							=  input('Enter drug name: ').strip()
  SCREAMING_SNAKE_CASE       							=  input('Enter zip code: ').strip()

  SCREAMING_SNAKE_CASE       							=  fetch_pharmacy_and_price_list(
      drug_name, zip_code
  )

  if pharmacy_price_list:
    print(F'\nSearch results for {drug_name} at location {zip_code}:')
    for pharmacy_price in pharmacy_price_list:
      SCREAMING_SNAKE_CASE       							=  pharmacy_price['pharmacy_name']
      SCREAMING_SNAKE_CASE       							=  pharmacy_price['price']

      print(F'Pharmacy: {name} Price: {price}')
  else:
    print(F'No results found for {drug_name}')












"""simple docstring"""


import copy

from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ..auto.configuration_auto import AutoConfig


_UpperCamelCase				:    Optional[int]     =						logging.get_logger(__name__)






class 						snake_case  (  UpperCAmelCase       ):
    __magic_name__         =     '''speech-encoder-decoder'''
    __magic_name__         =     True





    def __init__(							self	:					Optional[Any]				,		**A	:					List[Any]			):


      '''simple docstring'''




      super().__init__(**A			)
      if "encoder" not in kwargs or "decoder" not in kwargs:
        raise ValueError(
            F'''A configuraton of type {self.model_type} cannot be instantiated because not both `encoder` and'''
            F''' `decoder` sub-configurations are passed, but only {kwargs}'''			)

      a     :			Optional[int]				=   kwargs.pop('encoder'			)
      a     :			Any				=   encoder_config.pop('model_type'			)
      a     :			Optional[Any]				=   kwargs.pop('decoder'			)
      a     :			str				=   decoder_config.pop('model_type'			)

      a     :			Tuple				=   AutoConfig.for_model(A				,		**A			)
      a     :			Dict				=   AutoConfig.for_model(A				,		**A			)
      a     :			Optional[Any]				=   True





    @classmethod
    def 				lowerCamelCase__      (							cls	:					List[Any]				,		A	:					PretrainedConfig				,		A	:					PretrainedConfig				,		**A	:					str			):


      '''simple docstring'''




      logger.info('Setting `config.is_decoder=True` and `config.add_cross_attention=True` for decoder_config'			)
      a     :			Any				=   True
      a     :			List[str]				=   True

      return cls(encoder=encoder_config.to_dict()				,		decoder=decoder_config.to_dict()				,		**A			)





    def 				lowerCamelCase__      (							self	:					Optional[int]			):


      '''simple docstring'''




      a     :			List[Any]				=   copy.deepcopy(self.__dict__			)
      a     :			int				=   self.encoder.to_dict()
      a     :			Optional[int]				=   self.decoder.to_dict()
      a     :			Any				=   self.__class__.model_type
      return output




