code: 
  
  
  """simple docstring"""
  
  
  
  
  
  
  
  from urllib.error import HTTPError
  
  from bsa import BeautifulSoup
  from requests import exceptions, get
  
  lowerCamelCase_     :     Any    		=						"""https://www.wellrx.com/prescriptions/{0}/{1}/?freshSearch=true"""
  def _A		(		lowercase ,					lowercase	):
  
  
  
  
  
  
  
      """simple docstring"""
  
      try:
          # Has user provided both inputs?
          if not drug_name or not zip_code:
              return None
  
          a					=BASE_URL.format(lowercase ,					lowercase	)
          a					=get(lowercase	)
  
          # Is the response ok?
          response.raise_for_status()
  
          # Scrape the data using bs4
          a					=BeautifulSoup(response.text ,					'''html.parser'''	)
  
          # This list will store the name and price.
          a					=[]
  
          # Fetch all the grids that contains the items.
          a					=soup.find_all('''div''' ,					{'''class''': '''grid-x pharmCard'''}	)
          if grid_list and len(lowercase	) > 0:
              for grid in grid_list:
                  # Get the pharmacy price.
                  a					=grid.find('''p''' ,					{'''class''': '''list-title'''}	).text
  
                  # Get price of the drug.
                  a					=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_     :     Optional[int]    		=						input("""Enter drug name: """).strip()
         lowerCamelCase_     :     Any    		=						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_     :     List[str]    		=						pharmacy_price["""pharmacy_name"""]
                       lowerCamelCase_     :     List[str]    		=						pharmacy_price["""price"""]
  
                       print(F'Pharmacy: {name} Price: {price}')
         else:
                print(F'No results found for {drug_name}')
  
  
  
  
  
  
style_context: 
  
  
  """simple docstring"""
  
  
  
  
  
  
  
  from collections import OrderedDict
  from typing import Mapping
  
  from packaging import version
  
  from ...configuration_utils import PretrainedConfig
  from ...onnx import OnnxConfig
  from ...utils import logging
  
  
  lowerCamelCase_     :     Any    		=						logging.get_logger(__name__)
  
  lowerCamelCase_     :     Tuple    		=						{
      """apple/mobilevitv2-1.0""": """https://huggingface.co/apple/mobilevitv2-1.0/resolve/main/config.json""",
  }
  
  
  
  
  
  
  class    __A       ( _SCREAMING_SNAKE_CASE    ):
  
  
  
  
  
  
   """simple docstring"""
  
  
  
  
   __lowerCAmelCase				      =						"mobilevitv2"
  
  
   def __init__(	self				,					__A=3				,					__A=256				,					__A=2				,					__A=2.0				,					__A="swish"				,					__A=3				,					__A=32				,					__A=0.1				,					__A=0.02				,					__A=1E-5				,					__A=512				,					__A=[6, 12, 18]				,					__A=0.1				,					__A=255				,					__A=[2, 4, 3]				,					__A=[128, 192, 256]				,					__A=1.0				,					__A=2				,					__A=0.0				,					__A=0.0				,					**__A				,					)      ->  int:
       super().__init__(**__A		)
  
       a					=num_channels
       a					=image_size
       a					=patch_size
       a					=expand_ratio
       a					=hidden_act
       a					=conv_kernel_size
       a					=output_stride
       a					=initializer_range
       a					=layer_norm_eps
       a					=n_attn_blocks
       a					=base_attn_unit_dims
       a					=width_multiplier
       a					=ffn_multiplier
       a					=ffn_dropout
       a					=attn_dropout
       a					=classifier_dropout_prob
  
       # decode head attributes for semantic segmentation
       a					=aspp_out_channels
       a					=atrous_rates
       a					=aspp_dropout_prob
       a					=semantic_loss_ignore_index
  
  
  
  
  
  
  class    __A       ( _SCREAMING_SNAKE_CASE    ):
  
  
  
  
  
  
   """simple docstring"""
  
  
  
  
   __lowerCAmelCase				      =						version.parse("1.11"    )
  
  
   @property
   def    SCREAMING_SNAKE_CASE							(	self		)      ->  Mapping[str, Mapping[int, str]]:
       return OrderedDict([('''pixel_values''', {0: '''batch''', 1: '''num_channels''', 2: '''height''', 3: '''width'''})]		)
  
  
   @property
   def    SCREAMING_SNAKE_CASE							(	self		)      ->  Mapping[str, Mapping[int, str]]:
       if self.task == "image-classification":
           return OrderedDict([('''logits''', {0: '''batch'''})]		)
       else:
           return OrderedDict([('''last_hidden_state''', {0: '''batch'''}), ('''pooler_output''', {0: '''batch'''})]		)
  
  
  
  
  
   @property
   def    SCREAMING_SNAKE_CASE							(	self		)      ->  float:
       return 1E-4