
from urllib.error import HTTPError

from bsa import BeautifulSoup
from requests import exceptions, get

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






def     lowerCamelCase__				(   a						,						a ) ->  list | None:

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

      _A:    Dict						     =			BASE_URL.format(a						,						a )
      _A:    str						     =			get(a )

      # Is the response ok?
      response.raise_for_status()

      # Scrape the data using bs4
      _A:    Union[str, Any]						     =			BeautifulSoup(response.text						,						'''html.parser''' )

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

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

            # Get price of the drug.
            _A:    List[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
   UpperCAmelCase__						:	Optional[int]	     = input('Enter drug name: ').strip()
   UpperCAmelCase__						:	Tuple	     = input('Enter zip code: ').strip()

   UpperCAmelCase__						:	list | None	     = 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:
         UpperCAmelCase__						:	Union[str, Any]	     = pharmacy_price['pharmacy_name']
         UpperCAmelCase__						:	Dict	     = pharmacy_price['price']

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





from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


UpperCAmelCase__						:	Any	     = {
    'configuration_decision_transformer': [
        'DECISION_TRANSFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP',
        'DecisionTransformerConfig',
    ],
}

try:
   if not is_torch_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   UpperCAmelCase__						:	Optional[Any]	     = [
       'DECISION_TRANSFORMER_PRETRAINED_MODEL_ARCHIVE_LIST',
       'DecisionTransformerGPT2Model',
       'DecisionTransformerGPT2PreTrainedModel',
       'DecisionTransformerModel',
       'DecisionTransformerPreTrainedModel',
   ]


if TYPE_CHECKING:
   from .configuration_decision_transformer import (
       DECISION_TRANSFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP,
       DecisionTransformerConfig,
   )

   try:
      if not is_torch_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .modeling_decision_transformer import (
          DECISION_TRANSFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
          DecisionTransformerGPTaModel,
          DecisionTransformerGPTaPreTrainedModel,
          DecisionTransformerModel,
          DecisionTransformerPreTrainedModel,
      )


else:
   import sys

   UpperCAmelCase__						:	Optional[Any]	     = _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)



