






from urllib.error import HTTPError

from bsa import BeautifulSoup
from requests import exceptions, get

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



def 							_lowerCamelCase(				__snake_case						,						__snake_case	)  ->   list | None:







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

				__snake_case		       =     BASE_URL.format(__snake_case						,						__snake_case	)
				__snake_case		       =     get(__snake_case	)

				# 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(__snake_case	) > 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
		lowerCamelCase__           =				input('Enter drug name: ').strip()
		lowerCamelCase__           =				input('Enter zip code: ').strip()

		lowerCamelCase__           =				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:
						lowerCamelCase__           =				pharmacy_price['pharmacy_name']
						lowerCamelCase__           =				pharmacy_price['price']

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






import os
from shutil import copyfile
from typing import Optional, Tuple

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import is_sentencepiece_available, logging


if is_sentencepiece_available():
		from .tokenization_reformer import ReformerTokenizer
else:
		lowerCamelCase__           =				None


lowerCamelCase__           =				logging.get_logger(__name__)


lowerCamelCase__           =				'▁'

lowerCamelCase__           =				{'vocab_file': 'spiece.model', 'tokenizer_file': 'tokenizer.json'}

lowerCamelCase__           =				{
    'vocab_file': {
        'google/reformer-crime-and-punishment': (
            'https://huggingface.co/google/reformer-crime-and-punishment/resolve/main/spiece.model'
        )
    },
    'tokenizer_file': {
        'google/reformer-crime-and-punishment': (
            'https://huggingface.co/google/reformer-crime-and-punishment/resolve/main/tokenizer.json'
        )
    },
}

lowerCamelCase__           =				{
    'google/reformer-crime-and-punishment': 52_42_88,
}




class 					UpperCamelCase	(     snake_case__      ):
					__UpperCamelCase						=   VOCAB_FILES_NAMES
					__UpperCamelCase						=   PRETRAINED_VOCAB_FILES_MAP
					__UpperCamelCase						=   PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
					__UpperCamelCase						=   ["""input_ids""", """attention_mask"""]
					__UpperCamelCase						=   ReformerTokenizer




					def __init__( self :					Tuple      ,_lowerCAmelCase :					Dict=None      ,_lowerCAmelCase :					Union[str, Any]=None      ,_lowerCAmelCase :					int="</s>"      ,_lowerCAmelCase :					Dict="<unk>"      ,_lowerCAmelCase :					Dict=[]      ,**_lowerCAmelCase :					Optional[Any]      ,):


							"""simple docstring"""




							super().__init__(
							    _lowerCAmelCase      ,tokenizer_file=_lowerCAmelCase      ,eos_token=_lowerCAmelCase      ,unk_token=_lowerCAmelCase      ,additional_special_tokens=_lowerCAmelCase      ,**_lowerCAmelCase      ,)

							__snake_case		       =     vocab_file
							__snake_case		       =     False if not self.vocab_file else True







					def 							UpperCamelCase_						( self :					Dict      ,_lowerCAmelCase :					str      ,_lowerCAmelCase :					Optional[str] = None						):


							"""simple docstring"""




							if not self.can_save_slow_tokenizer:
									raise ValueError(
									    "Your fast tokenizer does not have the necessary information to save the vocabulary for a slow "
									    "tokenizer."						)

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

							if os.path.abspath(self.vocab_file						) != os.path.abspath(_lowerCAmelCase						):
									copyfile(self.vocab_file      ,_lowerCAmelCase						)

							return (out_vocab_file,)





