



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

from tokenizers import processors

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


if TYPE_CHECKING:
      from transformers.pipelines.conversational import Conversation

require_version('''tokenizers>=0.13.3''')

if is_sentencepiece_available():
      from .tokenization_llama import LlamaTokenizer
else:
      A__						:						Dict          =      None

A__						:						Any          =      logging.get_logger(__name__)
A__						:						List[Any]          =      {'''vocab_file''': '''tokenizer.model''', '''tokenizer_file''': '''tokenizer.json'''}

A__						:						Dict          =      '''[INST]''', '''[/INST]'''
A__						:						List[str]          =      '''<<SYS>>\n''', '''\n<</SYS>>\n\n'''

# fmt: off
A__						:						List[Any]          =      '''You are a helpful, respectful and honest assistant. Always answer as helpfully as possible, while being safe. Your\
answers should not include any harmful, unethical, racist, sexist, toxic, dangerous, or illegal content. Please ensure\
that your responses are socially unbiased and positive in nature.

If a question does not make any sense, or is not factually coherent, explain why instead of answering something not\
correct. If you don\'t know the answer to a question, please don\'t share false information.'''



class        __snake_case		(  UpperCamelCase_		):
       _a       =				VOCAB_FILES_NAMES
       _a       =				LlamaTokenizer
       _a       =				'''left'''
       _a       =				['''input_ids''', '''attention_mask''']




       def __init__( self  : Union[str, Any]       ,       A_  : Optional[Any]=None       ,       A_  : Dict=None       ,       A_  : Optional[int]=False       ,       A_  : int="<unk>"       ,       A_  : str="<s>"       ,       A_  : List[str]="</s>"       ,       A_  : Optional[Any]=True       ,       A_  : List[Any]=False       ,       **A_  : Optional[int]       ,       ):
         super().__init__(
             vocab_file=A_       ,       tokenizer_file=A_       ,       clean_up_tokenization_spaces=A_       ,       unk_token=A_       ,       bos_token=A_       ,       eos_token=A_       ,       **A_       ,       )
         lowerCAmelCase_    :  Union[str, Any]             =				add_bos_token
         lowerCAmelCase_    :  Dict             =				add_eos_token
         self.update_post_processor()

         lowerCAmelCase_    :  Any             =				vocab_file
         lowerCAmelCase_    :  int             =				False if not self.vocab_file else True




       def      UpperCAmelCase__    ( self  : List[str]):
         lowerCAmelCase_    :  Dict             =				self.bos_token
         lowerCAmelCase_    :  Union[str, Any]             =				self.bos_token_id

         lowerCAmelCase_    :  Optional[int]             =				self.eos_token
         lowerCAmelCase_    :  Any             =				self.eos_token_id

         lowerCAmelCase_    :  Any             =				F"""{(bos+":0 ") * self.add_bos_token}$A:0{(" "+eos+":0") * self.add_eos_token}"""
         lowerCAmelCase_    :  str             =				F"""{single}{(" "+bos+":1") * self.add_bos_token} $B:1{(" "+eos+":1") * self.add_eos_token}"""

         lowerCAmelCase_    :  List[Any]             =				[]
         if self.add_bos_token:
           special_tokens.append((bos, bos_token_id))
         if self.add_eos_token:
           special_tokens.append((eos, eos_token_id))
         lowerCAmelCase_    :  Any             =				processors.TemplateProcessing(
             single=A_       ,       pair=A_       ,       special_tokens=A_)




       @property
       def      UpperCAmelCase__    ( self  : Optional[int]):
         return self._add_eos_token




       @property
       def      UpperCAmelCase__    ( self  : List[str]):
         return self._add_bos_token




       @add_eos_token.setter
       def      UpperCAmelCase__    ( self  : List[str]       ,       A_  : Optional[Any]):
         lowerCAmelCase_    :  Any             =				value
         self.update_post_processor()




       @add_bos_token.setter
       def      UpperCAmelCase__    ( self  : Any       ,       A_  : List[Any]):
         lowerCAmelCase_    :  List[str]             =				value
         self.update_post_processor()




       def      UpperCAmelCase__    ( self  : Tuple       ,       A_  : str       ,       A_  : Optional[str] = None):
         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(A_):
           logger.error(F"""Vocabulary path ({save_directory}) should be a directory""")
           return
         lowerCAmelCase_    :  Tuple             =				os.path.join(
             A_       ,       (filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file'''])

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

         return (out_vocab_file,)







       def      UpperCAmelCase__    ( self  : Union[str, Any]       ,       A_  : "Conversation"):
         lowerCAmelCase_    :  List[str]             =				list(conversation.iter_texts())
         if not all([is_user for is_user, msg in dialogue[::2]]) or not all(
             [not is_user for is_user, msg in dialogue[1::2]]):
           raise ValueError(
               '''The model only supports \'user\' and \'assistant\' roles, starting with user and alternating (u/a/u/a/u...)''')

         lowerCAmelCase_    :  Union[str, Any]             =				[]
         if len(conversation.past_user_inputs) > 0:
           if not conversation.past_user_inputs[0].startswith(A_) or E_SYS not in conversation.past_user_inputs[0]:
             lowerCAmelCase_    :  int             =				(
                 B_SYS + DEFAULT_SYSTEM_PROMPT + E_SYS + conversation.past_user_inputs[0]
             )
         elif not dialogue[0][1].startswith(A_) or E_SYS not in dialogue[0][1]:
           lowerCAmelCase_    :  int             =				(dialogue[0][0], B_SYS + DEFAULT_SYSTEM_PROMPT + E_SYS + dialogue[0][1])

         dialog_tokens += sum(
             [
                 [self.bos_token_id]
                 + self.encode(
                     F"""{B_INST} {(prompt[1]).strip()} {E_INST} {(answer[1]).strip()} """       ,       add_special_tokens=A_)
                 + [self.eos_token_id]
                 for prompt, answer in zip(dialogue[::2]       ,       dialogue[1::2])
             ]       ,       []       ,       )
         if not (dialogue[-1][0]):
           raise ValueError(F"""Last message must be from user, got {dialogue[-1]["role"]}""")
         dialog_tokens += [self.bos_token_id] + self.encode(
             F"""{B_INST} {(dialogue[-1][1]).strip()} {E_INST}"""       ,       add_special_tokens=A_)
         return dialog_tokens










from urllib.error import HTTPError

from bsa import BeautifulSoup
from requests import exceptions, get

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


def     UpperCamelCase(						__UpperCamelCase							:	str  ,__UpperCamelCase							:	str				):

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

				lowerCAmelCase_    :  Union[str, Any]             =				BASE_URL.format(__UpperCamelCase  ,__UpperCamelCase				)
				lowerCAmelCase_    :  Optional[int]             =				get(__UpperCamelCase				)

				# Is the response ok?
				response.raise_for_status()

				# Scrape the data using bs4
				lowerCAmelCase_    :  Optional[int]             =				BeautifulSoup(response.text  ,'''html.parser'''				)

				# This list will store the name and price.
				lowerCAmelCase_    :  List[Any]             =				[]

				# Fetch all the grids that contains the items.
				lowerCAmelCase_    :  Union[str, 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.
								lowerCAmelCase_    :  int             =				grid.find('''p'''  ,{'''class''': '''list-title'''}				).text

								# Get price of the drug.
								lowerCAmelCase_    :  List[Any]             =				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
						A__						:						Dict          =      input('''Enter drug name: ''').strip()
						A__						:						int          =      input('''Enter zip code: ''').strip()

						A__						:						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:
																		A__						:						Union[str, Any]          =      pharmacy_price['''pharmacy_name''']
																		A__						:						Tuple          =      pharmacy_price['''price''']

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





