
from urllib.error import HTTPError

from bsa import BeautifulSoup
from requests import exceptions, get

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





def 		SCREAMING_SNAKE_CASE__      ( __lowerCAmelCase      ,						__lowerCAmelCase							):

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

        snake_case__  =			BASE_URL.format(__lowerCAmelCase      ,						__lowerCAmelCase							)
        snake_case__  =			get(__lowerCAmelCase							)

        # 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(__lowerCAmelCase							) > 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
     __magic_name__           =					input('''Enter drug name: ''').strip()
     __magic_name__           =					input('''Enter zip code: ''').strip()

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

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





# Copyright 2023 The HuggingFace 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 typing import TYPE_CHECKING

# rely on isort to merge the imports
from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_torch_available,
)


__magic_name__           =					{
    '''configuration_convnextv2''': [
        '''CONVNEXTV2_PRETRAINED_CONFIG_ARCHIVE_MAP''',
        '''ConvNextV2Config''',
    ]
}

try:
     if not is_torch_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     __magic_name__           =					[
         '''CONVNEXTV2_PRETRAINED_MODEL_ARCHIVE_LIST''',
         '''ConvNextV2ForImageClassification''',
         '''ConvNextV2Model''',
         '''ConvNextV2PreTrainedModel''',
         '''ConvNextV2Backbone''',
     ]


if TYPE_CHECKING:
     from .configuration_convnextva import (
         CONVNEXTV2_PRETRAINED_CONFIG_ARCHIVE_MAP,
         ConvNextVaConfig,
     )

     try:
          if not is_torch_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .modeling_convnextva import (
              CONVNEXTV2_PRETRAINED_MODEL_ARCHIVE_LIST,
              ConvNextVaBackbone,
              ConvNextVaForImageClassification,
              ConvNextVaModel,
              ConvNextVaPreTrainedModel,
          )

else:
     import sys

     __magic_name__           =					_LazyModule(__name__, globals()['''__file__'''], _import_structure)



