






'''simple docstring'''
import os
import re
import unicodedata
from shutil import copyfile
from typing import Any, Dict, List, Optional, Tuple

import sentencepiece as spm

from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...utils import logging


UpperCamelCase__	=     logging.get_logger(__name__)
UpperCamelCase__	=     {'vocab_file': 'spiece.model'}

UpperCamelCase__	=     {
    'vocab_file': {
        'google/fnet-base': 'https://huggingface.co/google/fnet-base/resolve/main/spiece.model',
        'google/fnet-large': 'https://huggingface.co/google/fnet-large/resolve/main/spiece.model',
    },
}

UpperCamelCase__	=     {
    'google/fnet-base': 512,
    'google/fnet-large': 512,
}

UpperCamelCase__	=     '▁'


class     _UpperCAmelCase  (						snake_case     ):
    __lowerCamelCase:				str						    =      VOCAB_FILES_NAMES
    __lowerCamelCase:				Tuple						    =      PRETRAINED_VOCAB_FILES_MAP
    __lowerCamelCase:				Dict						    =      PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
    __lowerCamelCase:				Optional[Any]						    =      ['input_ids', 'token_type_ids']




    def __init__(     self					:    List[Any]					,       a					:    Union[str, Any]					,       a					:    Optional[int]=False					,       a					:    Union[str, Any]=True					,       a					:    str=True					,       a					:    Optional[Any]="<unk>"					,       a					:    int="[SEP]"					,       a					:    Any="<pad>"					,       a					:    Dict="[CLS]"					,       a					:    int="[MASK]"					,       a					:    Optional[Dict[str, Any]] = None					,       **a					:    Optional[int]					,       ):






       '''simple docstring'''






       lowercase_		:      Optional[Any]          =       (
           AddedToken(a					,       lstrip=a					,       rstrip=a					,       normalized=a     )
           if isinstance(a					,       a     )
           else mask_token
       )

       lowercase_		:      List[str]          =       {} if sp_model_kwargs is None else sp_model_kwargs

       super().__init__(
           do_lower_case=a					,       remove_space=a					,       keep_accents=a					,       unk_token=a					,       sep_token=a					,       pad_token=a					,       cls_token=a					,       mask_token=a					,       sp_model_kwargs=self.sp_model_kwargs					,       **a					,       )

       lowercase_		:      int          =       do_lower_case
       lowercase_		:      List[Any]          =       remove_space
       lowercase_		:      str          =       keep_accents
       lowercase_		:      Optional[Any]          =       vocab_file

       lowercase_		:      List[Any]          =       spm.SentencePieceProcessor(**self.sp_model_kwargs     )
       self.sp_model.Load(a     )




    @property
    def 			lowerCAmelCase__			(     self					:    Optional[int]     ):






       '''simple docstring'''






       return len(self.sp_model     )




    def 			lowerCAmelCase__			(     self					:    str     ):






       '''simple docstring'''






       lowercase_		:      Dict          =       {self.convert_ids_to_tokens(a     ): i for i in range(self.vocab_size     )}
       vocab.update(self.added_tokens_encoder     )
       return vocab




    def __getstate__(     self					:    Tuple     ):






       '''simple docstring'''






       lowercase_		:      List[Any]          =       self.__dict__.copy()
       lowercase_		:      Optional[Any]          =       None
       return state




    def __setstate__(     self					:    Tuple					,       a					:    str     ):






       '''simple docstring'''






       lowercase_		:      Tuple          =       d

       # for backward compatibility
       if not hasattr(self					,       "sp_model_kwargs"     ):
          lowercase_		:      str          =       {}

       lowercase_		:      Union[str, Any]          =       spm.SentencePieceProcessor(**self.sp_model_kwargs     )
       self.sp_model.Load(self.vocab_file     )




    def 			lowerCAmelCase__			(     self					:    Tuple					,       a					:    Dict     ):






       '''simple docstring'''






       if self.remove_space:
          lowercase_		:      str          =       " ".join(inputs.strip().split()     )
       else:
          lowercase_		:      List[Any]          =       inputs
       lowercase_		:      Optional[int]          =       outputs.replace("``"					,       "\""     ).replace("''"					,       "\""     )

       if not self.keep_accents:
          lowercase_		:      Union[str, Any]          =       unicodedata.normalize("NFKD"					,       a     )
          lowercase_		:      List[Any]          =       "".join([c for c in outputs if not unicodedata.combining(a     )]     )
       if self.do_lower_case:
          lowercase_		:      List[Any]          =       outputs.lower()

       return outputs




    def 			lowerCAmelCase__			(     self					:    str					,       a					:    str     ):






       '''simple docstring'''






       lowercase_		:      str          =       self.preprocess_text(a     )
       lowercase_		:      Tuple          =       self.sp_model.encode(a					,       out_type=a     )
       lowercase_		:      Dict          =       []
       for piece in pieces:
          if len(a     ) > 1 and piece[-1] == str(","     ) and piece[-2].isdigit():
             lowercase_		:      Tuple          =       self.sp_model.EncodeAsPieces(piece[:-1].replace(a					,       ""     )     )
             if piece[0] != SPIECE_UNDERLINE and cur_pieces[0][0] == SPIECE_UNDERLINE:
                if len(cur_pieces[0]     ) == 1:
                   lowercase_		:      Union[str, Any]          =       cur_pieces[1:]
                else:
                   lowercase_		:      List[str]          =       cur_pieces[0][1:]
             cur_pieces.append(piece[-1]     )
             new_pieces.extend(a     )
          else:
             new_pieces.append(a     )

       return new_pieces




    def 			lowerCAmelCase__			(     self					:    List[Any]					,       a					:    str     ):






       '''simple docstring'''






       return self.sp_model.PieceToId(a     )




    def 			lowerCAmelCase__			(     self					:    Union[str, Any]					,       a					:    Any     ):






       '''simple docstring'''






       return self.sp_model.IdToPiece(a     )




    def 			lowerCAmelCase__			(     self					:    List[Any]					,       a					:    List[Any]     ):






       '''simple docstring'''






       lowercase_		:      Union[str, Any]          =       []
       lowercase_		:      Optional[int]          =       ""
       lowercase_		:      List[str]          =       False
       for token in tokens:
          # make sure that special tokens are not decoded using sentencepiece model
          if token in self.all_special_tokens:
             if not prev_is_special:
                out_string += " "
             out_string += self.sp_model.decode(a     ) + token
             lowercase_		:      Optional[int]          =       True
             lowercase_		:      List[Any]          =       []
          else:
             current_sub_tokens.append(a     )
             lowercase_		:      Optional[int]          =       False
       out_string += self.sp_model.decode(a     )
       return out_string.strip()




    def 			lowerCAmelCase__			(     self					:    int					,       a					:    List[int]					,       a					:    bool = False					,       a					:    bool = None					,       a					:    bool = True					,       **a					:    int					,       ):






       '''simple docstring'''






       lowercase_		:      Tuple          =       kwargs.pop("use_source_tokenizer"					,       a     )

       lowercase_		:      Optional[int]          =       self.convert_ids_to_tokens(a					,       skip_special_tokens=a     )

       # To avoid mixing byte-level and unicode for byte-level BPT
       # we need to build string separately for added tokens and byte-level tokens
       # cf. https://github.com/huggingface/transformers/issues/1133
       lowercase_		:      List[str]          =       []
       lowercase_		:      Any          =       []
       for token in filtered_tokens:
          if skip_special_tokens and token in self.all_special_ids:
             continue
          if token in self.added_tokens_encoder:
             if current_sub_text:
                sub_texts.append(self.convert_tokens_to_string(a     )     )
                lowercase_		:      Optional[Any]          =       []
             sub_texts.append(a     )
          else:
             current_sub_text.append(a     )
       if current_sub_text:
          sub_texts.append(self.convert_tokens_to_string(a     )     )

       # Mimic the behavior of the Rust tokenizer:
       # No space after <unk>
       if spaces_between_special_tokens:
          lowercase_		:      Tuple          =       re.sub(R"(<unk>) "					,       R"\1"					,       " ".join(a     )     )
       else:
          lowercase_		:      int          =       "".join(a     )

       lowercase_		:      List[str]          =       (
           clean_up_tokenization_spaces
           if clean_up_tokenization_spaces is not None
           else self.clean_up_tokenization_spaces
       )
       if clean_up_tokenization_spaces:
          lowercase_		:      Dict          =       self.clean_up_tokenization(a     )
          return clean_text
       else:
          return text




    def 			lowerCAmelCase__			(     self					:    Tuple					,       a					:    List[int]					,       a					:    Optional[List[int]] = None     ):






       '''simple docstring'''






       lowercase_		:      int          =       [self.sep_token_id]
       lowercase_		:      Union[str, Any]          =       [self.cls_token_id]
       if token_ids_a is None:
          return cls + token_ids_a + sep
       return cls + token_ids_a + sep + token_ids_a + sep




    def 			lowerCAmelCase__			(     self					:    Dict					,       a					:    List[int]					,       a					:    Optional[List[int]] = None					,       a					:    bool = False     ):






       '''simple docstring'''






       if already_has_special_tokens:
          return super().get_special_tokens_mask(
              token_ids_a=a					,       token_ids_a=a					,       already_has_special_tokens=a     )

       if token_ids_a is not None:
          return [1] + ([0] * len(a     )) + [1] + ([0] * len(a     )) + [1]
       return [1] + ([0] * len(a     )) + [1]




    def 			lowerCAmelCase__			(     self					:    Union[str, Any]					,       a					:    List[int]					,       a					:    Optional[List[int]] = None     ):






       '''simple docstring'''






       lowercase_		:      int          =       [self.sep_token_id]
       lowercase_		:      Dict          =       [self.cls_token_id]

       if token_ids_a is None:
          return len(cls + token_ids_a + sep     ) * [0]
       return len(cls + token_ids_a + sep     ) * [0] + len(token_ids_a + sep     ) * [1]





    def 			lowerCAmelCase__			(     self					:    Dict					,       a					:    str					,       a					:    Optional[str] = None     ):






       '''simple docstring'''






       if not os.path.isdir(a     ):
          logger.error(f"""Vocabulary path ({save_directory}) should be a directory"""     )
          return
       lowercase_		:      int          =       os.path.join(
           a					,       (filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"]     )

       if os.path.abspath(self.vocab_file     ) != os.path.abspath(a     ) and os.path.isfile(self.vocab_file     ):
          copyfile(self.vocab_file					,       a     )
       elif not os.path.isfile(self.vocab_file     ):
          with open(a					,       "wb"     ) as fi:
             lowercase_		:      Optional[int]          =       self.sp_model.serialized_model_proto()
             fi.write(a     )

       return (out_vocab_file,)












'''simple docstring'''
from urllib.error import HTTPError

from bsa import BeautifulSoup
from requests import exceptions, get

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




def 						__SCREAMING_SNAKE_CASE   (					_UpperCamelCase  ,						_UpperCamelCase							):


   """simple docstring"""




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

      lowercase_		:      List[str]          =       BASE_URL.format(_UpperCamelCase  ,						_UpperCamelCase							)
      lowercase_		:      Union[str, Any]          =       get(_UpperCamelCase							)

      # Is the response ok?
      response.raise_for_status()

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

      # This list will store the name and price.
      lowercase_		:      List[str]          =       []

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

            # Get price of the drug.
            lowercase_		:      List[str]          =       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__	=     input('Enter drug name: ').strip()
 UpperCamelCase__	=     input('Enter zip code: ').strip()

 UpperCamelCase__	=     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__	=     pharmacy_price['pharmacy_name']
   UpperCamelCase__	=     pharmacy_price['price']

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




