




'''simple docstring'''





from urllib.error import HTTPError

from bsa import BeautifulSoup
from requests import exceptions, get

UpperCamelCase_		:    List[Any]									=		'''https://www.wellrx.com/prescriptions/{0}/{1}/?freshSearch=true'''





def 			__a			(     _UpperCamelCase:					str      ,		_UpperCamelCase:					str					)		->				list | None:

     """simple docstring"""




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

          _snake_case								=   BASE_URL.format(_UpperCamelCase      ,		_UpperCamelCase					)
          _snake_case								=   get(_UpperCamelCase					)

          # Is the response ok?
          response.raise_for_status()

          # Scrape the data using bs4
          _snake_case								=   BeautifulSoup(response.text      ,		"html.parser"					)

          # This list will store the name and price.
          _snake_case								=   []

          # Fetch all the grids that contains the items.
          _snake_case								=   soup.find_all("div"      ,		{"class": "grid-x pharmCard"}					)
          if grid_list and len(_UpperCamelCase					) > 0:
               for grid in grid_list:
                    # Get the pharmacy price.
                    _snake_case								=   grid.find("p"      ,		{"class": "list-title"}					).text

                    # Get price of the drug.
                    _snake_case								=   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_		:    Tuple									=		input('''Enter drug name: ''').strip()
   UpperCamelCase_		:    List[str]									=		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_		:    Optional[int]									=		pharmacy_price['''price''']

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








'''simple docstring'''





from typing import List, Optional, Tuple

from tokenizers import pre_tokenizers

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_clip import CLIPTokenizer


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

UpperCamelCase_		:    str									=		{'''vocab_file''': '''vocab.json''', '''merges_file''': '''merges.txt''', '''tokenizer_file''': '''tokenizer.json'''}

UpperCamelCase_		:    List[str]									=		{
    '''vocab_file''': {
        '''openai/clip-vit-base-patch32''': '''https://huggingface.co/openai/clip-vit-base-patch32/resolve/main/vocab.json''',
    },
    '''merges_file''': {
        '''openai/clip-vit-base-patch32''': '''https://huggingface.co/openai/clip-vit-base-patch32/resolve/main/merges.txt''',
    },
    '''tokenizer_file''': {
        '''openai/clip-vit-base-patch32''': (
            '''https://huggingface.co/openai/clip-vit-base-patch32/resolve/main/tokenizer.json'''
        ),
    },
}

UpperCamelCase_		:    List[Any]									=		{
    '''openai/clip-vit-base-patch32''': 77,
}

class      _a       (		__lowerCAmelCase							):
     SCREAMING_SNAKE_CASE_							:					Any					       =		VOCAB_FILES_NAMES
     SCREAMING_SNAKE_CASE_							:					List[Any]					       =		PRETRAINED_VOCAB_FILES_MAP
     SCREAMING_SNAKE_CASE_							:					Dict					       =		PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
     SCREAMING_SNAKE_CASE_							:					int					       =		["""input_ids""", """attention_mask"""]
     SCREAMING_SNAKE_CASE_							:					Optional[Any]					       =		CLIPTokenizer






     def __init__(				self      ,_SCREAMING_SNAKE_CASE=None      ,_SCREAMING_SNAKE_CASE=None      ,_SCREAMING_SNAKE_CASE=None      ,_SCREAMING_SNAKE_CASE="<|endoftext|>"      ,_SCREAMING_SNAKE_CASE="<|startoftext|>"      ,_SCREAMING_SNAKE_CASE="<|endoftext|>"      ,_SCREAMING_SNAKE_CASE="<|endoftext|>"      ,**_SCREAMING_SNAKE_CASE      ,)							->    List[Any]:
          super().__init__(
              _SCREAMING_SNAKE_CASE      ,_SCREAMING_SNAKE_CASE      ,tokenizer_file=_SCREAMING_SNAKE_CASE      ,unk_token=_SCREAMING_SNAKE_CASE      ,bos_token=_SCREAMING_SNAKE_CASE      ,eos_token=_SCREAMING_SNAKE_CASE      ,pad_token=_SCREAMING_SNAKE_CASE      ,**_SCREAMING_SNAKE_CASE      ,)

          if not isinstance(self.backend_tokenizer.pre_tokenizer      ,pre_tokenizers.Sequence					):
               raise ValueError(
                   "The `backend_tokenizer` provided does not match the expected format. The CLIP tokenizer has been"
                   " heavily modified from transformers version 4.17.0. You need to convert the tokenizer you are using"
                   " to be compatible with this version.The easiest way to do so is"
                   " `CLIPTokenizerFast.from_pretrained(\"path_to_local_folder_or_hub_repo, from_slow=True)`. If you want"
                   " to use your existing tokenizer, you will have to revert to a version prior to 4.17.0 of"
                   " transformers."					)

          self._wrap_decode_method_backend_tokenizer()






     def        _lowercase			(				self					)							->    Tuple:
          _snake_case							=   self.backend_tokenizer.decode

          def new_decode_method(*_SCREAMING_SNAKE_CASE      ,**_SCREAMING_SNAKE_CASE					):
               _snake_case							=   orig_decode_method(*_SCREAMING_SNAKE_CASE      ,**_SCREAMING_SNAKE_CASE					)
               _snake_case							=   text.replace(self.backend_tokenizer.model.end_of_word_suffix      ," "					).strip()
               return text

          _snake_case							=   new_decode_method






     def        _lowercase			(				self      ,_SCREAMING_SNAKE_CASE      ,_SCREAMING_SNAKE_CASE = None					)							->    List[int]:
          _snake_case							=   [self.bos_token_id]
          _snake_case							=   [self.eos_token_id]

          if token_ids_a is None:
               return bos_token + token_ids_a + eos_token
          return bos_token + token_ids_a + eos_token + eos_token + token_ids_a + eos_token






     def        _lowercase			(				self      ,_SCREAMING_SNAKE_CASE      ,_SCREAMING_SNAKE_CASE = None					)							->    List[int]:
          _snake_case							=   [self.bos_token_id]
          _snake_case							=   [self.eos_token_id]

          if token_ids_a is None:
               return len(bos_token + token_ids_a + eos_token					) * [0]
          return len(bos_token + token_ids_a + eos_token + eos_token + token_ids_a + eos_token					) * [0]






     def        _lowercase			(				self      ,_SCREAMING_SNAKE_CASE      ,_SCREAMING_SNAKE_CASE = None					)							->    Tuple[str]:
          _snake_case							=   self._tokenizer.model.save(_SCREAMING_SNAKE_CASE      ,name=_SCREAMING_SNAKE_CASE					)
          return tuple(_SCREAMING_SNAKE_CASE					)


