


'''simple docstring'''







from urllib.error import HTTPError

from bsa import BeautifulSoup
from requests import exceptions, get

_SCREAMING_SNAKE_CASE       :   int        = "https://www.wellrx.com/prescriptions/{0}/{1}/?freshSearch=true"



def 						_UpperCamelCase							( UpperCamelCase__     ,   UpperCamelCase__		):






				"""simple docstring"""



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

								__magic_name__				:					List[str]						       =       BASE_URL.format(UpperCamelCase__     ,   UpperCamelCase__		)
								__magic_name__				:					Tuple						       =       get(UpperCamelCase__		)

								# Is the response ok?
								response.raise_for_status()

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

								# This list will store the name and price.
								__magic_name__				:					Optional[int]						       =       []

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

																# Get price of the drug.
																__magic_name__				:					Optional[int]						       =       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       :   List[Any]        = input("Enter drug name: ").strip()
		_SCREAMING_SNAKE_CASE       :   Dict        = input("Enter zip code: ").strip()

		_SCREAMING_SNAKE_CASE       :   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:
						_SCREAMING_SNAKE_CASE       :   Tuple        = pharmacy_price["pharmacy_name"]
						_SCREAMING_SNAKE_CASE       :   int        = pharmacy_price["price"]

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



'''simple docstring'''







import unittest

from transformers import BlenderbotTokenizer, BlenderbotTokenizerFast
from transformers.utils import cached_property






class 		_snake_case    (				unittest.TestCase		):






						'''simple docstring'''







						@cached_property
						def lowerCAmelCase__ (  self:	Optional[Any]     )							->	List[Any]:
										return BlenderbotTokenizer.from_pretrained("facebook/blenderbot-3B"     )







						@cached_property
						def lowerCAmelCase__ (  self:	Optional[Any]     )							->	Optional[int]:
										return BlenderbotTokenizerFast.from_pretrained("facebook/blenderbot-3B"     )







						def lowerCAmelCase__ (  self:	Optional[Any]     )							->	Optional[int]:
										__magic_name__				:					Tuple						       =       self.tokenizer_ab
										__magic_name__				:					Optional[int]						       =       " I am a small frog."
										__magic_name__				:					Optional[int]						       =       tok([src_text]      ,							padding=__UpperCamelCase      ,							truncation=__UpperCamelCase     )["input_ids"]
										__magic_name__				:					int						       =       tok.batch_decode(__UpperCamelCase      ,							skip_special_tokens=__UpperCamelCase      ,							clean_up_tokenization_spaces=__UpperCamelCase     )[0]
										assert src_text == decoded







						def lowerCAmelCase__ (  self:	Optional[int]     )							->	Any:
										__magic_name__				:					Tuple						       =       self.rust_tokenizer_ab
										__magic_name__				:					str						       =       " I am a small frog."
										__magic_name__				:					Union[str, Any]						       =       tok([src_text]      ,							padding=__UpperCamelCase      ,							truncation=__UpperCamelCase     )["input_ids"]
										__magic_name__				:					Any						       =       tok.batch_decode(__UpperCamelCase      ,							skip_special_tokens=__UpperCamelCase      ,							clean_up_tokenization_spaces=__UpperCamelCase     )[0]
										assert src_text == decoded







						def lowerCAmelCase__ (  self:	Optional[Any]     )							->	str:
										assert self.tokenizer_ab.add_prefix_space
										assert self.tokenizer_ab([" Sam", "Sam"]     ).input_ids == [[5502, 2], [5502, 2]]







						def lowerCAmelCase__ (  self:	List[str]     )							->	List[Any]:
										assert self.rust_tokenizer_ab.add_prefix_space
										assert self.rust_tokenizer_ab([" Sam", "Sam"]     ).input_ids == [[5502, 2], [5502, 2]]