

from urllib.error import HTTPError

from bsa import BeautifulSoup
from requests import exceptions, get

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





def 			_lowercase    (      __UpperCamelCase     :		str   ,       __UpperCamelCase     :		str ):

      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
       lowerCAmelCase						:   str										=    input('''Enter drug name: ''').strip()
       lowerCAmelCase						:   Optional[int]										=    input('''Enter zip code: ''').strip()

       lowerCAmelCase						:   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:
                     lowerCAmelCase						:   str										=    pharmacy_price['''pharmacy_name''']
                     lowerCAmelCase						:   Optional[int]										=    pharmacy_price['''price''']

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









# Copyright 2023 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from ..models.auto import AutoModelForSeqaSeqLM, AutoTokenizer
from .base import PipelineTool


lowerCAmelCase						:   List[Any]										=    '''Here is a text containing a lot of information: \'\'\'{text}\'\'\'.

Can you answer this question about the text: \'{question}\''''
class     SCREAMING_SNAKE_CASE__     (						__a		):





       '''simple docstring'''




       UpperCamelCase__ :     int				    =       '''google/flan-t5-base'''
       UpperCamelCase__ :     int				    =       (
           '''This is a tool that answers questions related to a text. It takes two arguments named `text`, which is the '''
           '''text where to find the answer, and `question`, which is the question, and returns the answer to the question.'''
       )
       UpperCamelCase__ :     Tuple				    =       '''text_qa'''
       UpperCamelCase__ :     Tuple				    =       AutoTokenizer
       UpperCamelCase__ :     List[Any]				    =       AutoModelForSeqaSeqLM

       UpperCamelCase__ :     Optional[Any]				    =       ['''text''', '''text''']
       UpperCamelCase__ :     Any				    =       ['''text''']

       def UpperCAmelCase_						(						self       :						Tuple    ,		lowerCAmelCase__       :						str    ,		lowerCAmelCase__       :						str							)			->    List[Any]:
             snake_case__					=   QA_PROMPT.format(text=lowerCAmelCase__    ,		question=lowerCAmelCase__							)
             return self.pre_processor(lowerCAmelCase__    ,		return_tensors="""pt"""							)

       def UpperCAmelCase_						(						self       :						Optional[Any]    ,		lowerCAmelCase__       :						Dict							)			->    List[Any]:
             snake_case__					=   self.model.generate(**lowerCAmelCase__							)

             snake_case__	,			snake_case__					=   inputs["""input_ids"""].shape
             snake_case__					=   output_ids.shape[0]

             return output_ids.reshape(lowerCAmelCase__    ,		out_b // in_b    ,		*output_ids.shape[1:]							)[0][0]

       def UpperCAmelCase_						(						self       :						Union[str, Any]    ,		lowerCAmelCase__       :						Dict							)			->    List[Any]:
             return self.pre_processor.decode(lowerCAmelCase__    ,		skip_special_tokens=lowerCAmelCase__    ,		clean_up_tokenization_spaces=lowerCAmelCase__							)






