

'''simple docstring'''
import warnings
from typing import Dict, List, Optional, Tuple

from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...utils import logging


lowerCamelCase			:				Dict 			=					logging.get_logger(__name__)



class 							A__   (	A__  ):
  A__					=    ['input_ids', 'attention_mask']





  def __init__(		self				:     Union[str, Any]							, _a				:     Any="</s>"							, _a				:     List[str]="<unk>"							, _a				:     Dict="<pad>"							, _a				:     List[Any]=125							, _a				:     Optional[int]=None							, **_a				:     Dict							, )     ->   Optional[int]:





       '''simple docstring'''






       if extra_ids > 0 and additional_special_tokens is None:
            _SCREAMING_SNAKE_CASE							   =[f"<extra_id_{i}>" for i in range(lowerCamelCase_			)]
       elif extra_ids > 0 and additional_special_tokens is not None:
            # Check that we have the right number of extra_id special tokens
            _SCREAMING_SNAKE_CASE							   =len(set(filter(lambda _a			: bool('extra_id' in str(lowerCamelCase_			)			)							, lowerCamelCase_			)			)			)
            if extra_tokens != extra_ids:
                 raise ValueError(
                     f"Both extra_ids ({extra_ids}) and additional_special_tokens ({additional_special_tokens}) are"
                     ' provided to ByT5Tokenizer. In this case the additional_special_tokens must include the'
                     ' extra_ids tokens'			)

       _SCREAMING_SNAKE_CASE							   =AddedToken(lowerCamelCase_							, lstrip=lowerCamelCase_							, rstrip=lowerCamelCase_			) if isinstance(lowerCamelCase_							, lowerCamelCase_			) else pad_token
       _SCREAMING_SNAKE_CASE							   =AddedToken(lowerCamelCase_							, lstrip=lowerCamelCase_							, rstrip=lowerCamelCase_			) if isinstance(lowerCamelCase_							, lowerCamelCase_			) else eos_token
       _SCREAMING_SNAKE_CASE							   =AddedToken(lowerCamelCase_							, lstrip=lowerCamelCase_							, rstrip=lowerCamelCase_			) if isinstance(lowerCamelCase_							, lowerCamelCase_			) else unk_token

       super().__init__(
           eos_token=lowerCamelCase_							, unk_token=lowerCamelCase_							, pad_token=lowerCamelCase_							, extra_ids=lowerCamelCase_							, additional_special_tokens=lowerCamelCase_							, **lowerCamelCase_							, )

       _SCREAMING_SNAKE_CASE							   =extra_ids

       _SCREAMING_SNAKE_CASE							   =2**8  # utf is 8 bits

       # define special tokens dict
       _SCREAMING_SNAKE_CASE							   ={
           self.pad_token: 0,
           self.eos_token: 1,
           self.unk_token: 2,
       }
       _SCREAMING_SNAKE_CASE							   =len(self.special_tokens_encoder			)
       _SCREAMING_SNAKE_CASE							   =len(lowerCamelCase_			)
       for i, token in enumerate(lowerCamelCase_			):
            _SCREAMING_SNAKE_CASE							   =self.vocab_size + i - n
       _SCREAMING_SNAKE_CASE							   ={v: k for k, v in self.special_tokens_encoder.items()}





  @property
  def 						A  (		self				:     Union[str, Any]			)     ->   str:





       '''simple docstring'''






       return self._utf_vocab_size + self._num_special_tokens + self._extra_ids





  def 						A  (		self				:     List[Any]							, _a				:     Dict							, _a				:     List[str] = None							, _a				:     List[str] = False			)     ->   List[str]:





       '''simple docstring'''






       if already_has_special_tokens:
            return super().get_special_tokens_mask(
                token_ids_a=lowerCamelCase_							, token_ids_a=lowerCamelCase_							, already_has_special_tokens=lowerCamelCase_			)

       # normal case: some special tokens
       if token_ids_a is None:
            return ([0] * len(lowerCamelCase_			)) + [1]
       return ([0] * len(lowerCamelCase_			)) + [1] + ([0] * len(lowerCamelCase_			)) + [1]





  def 						A  (		self				:     List[Any]							, _a				:     Any			)     ->   Any:





       '''simple docstring'''






       if len(lowerCamelCase_			) > 0 and token_ids[-1] == self.eos_token_id:
            warnings.warn(
                f"This sequence already has {self.eos_token}. In future versions this behavior may lead to duplicated"
                ' eos tokens being added.'			)
            return token_ids
       else:
            return token_ids + [self.eos_token_id]





  def 						A  (		self				:     Optional[Any]							, _a				:     Dict							, _a				:     Tuple = None			)     ->   Any:





       '''simple docstring'''






       _SCREAMING_SNAKE_CASE							   =[self.eos_token_id]

       if token_ids_a is None:
            return len(token_ids_a + eos			) * [0]
       return len(token_ids_a + eos + token_ids_a + eos			) * [0]





  def 						A  (		self				:     List[Any]							, _a				:     Optional[int]							, _a				:     int = None			)     ->   Tuple:





       '''simple docstring'''






       _SCREAMING_SNAKE_CASE							   =self._add_eos_if_not_present(lowerCamelCase_			)
       if token_ids_a is None:
            return token_ids_a
       else:
            _SCREAMING_SNAKE_CASE							   =self._add_eos_if_not_present(lowerCamelCase_			)
            return token_ids_a + token_ids_a





  def 						A  (		self				:     Optional[Any]							, _a				:     List[str]			)     ->   int:





       '''simple docstring'''






       _SCREAMING_SNAKE_CASE							   =[chr(lowerCamelCase_			) for i in text.encode('utf-8'			)]
       return tokens





  def 						A  (		self				:     Union[str, Any]							, _a				:     List[Any]			)     ->   List[Any]:





       '''simple docstring'''






       if token in self.special_tokens_encoder:
            _SCREAMING_SNAKE_CASE							   =self.special_tokens_encoder[token]
       elif token in self.added_tokens_encoder:
            _SCREAMING_SNAKE_CASE							   =self.added_tokens_encoder[token]
       elif len(lowerCamelCase_			) != 1:
            _SCREAMING_SNAKE_CASE							   =self.unk_token_id
       else:
            _SCREAMING_SNAKE_CASE							   =ord(lowerCamelCase_			) + self._num_special_tokens
       return token_id





  def 						A  (		self				:     Union[str, Any]							, _a				:     Dict			)     ->   List[Any]:





       '''simple docstring'''






       if index in self.special_tokens_decoder:
            _SCREAMING_SNAKE_CASE							   =self.special_tokens_decoder[index]
       else:
            _SCREAMING_SNAKE_CASE							   =chr(index - self._num_special_tokens			)
       return token





  def 						A  (		self				:     Optional[int]							, _a				:     Dict			)     ->   Any:





       '''simple docstring'''






       _SCREAMING_SNAKE_CASE							   =b''
       for token in tokens:
            if token in self.special_tokens_decoder:
                 _SCREAMING_SNAKE_CASE							   =self.special_tokens_decoder[token].encode('utf-8'			)
            elif token in self.added_tokens_decoder:
                 _SCREAMING_SNAKE_CASE							   =self.special_tokens_decoder[token].encode('utf-8'			)
            elif token in self.special_tokens_encoder:
                 _SCREAMING_SNAKE_CASE							   =token.encode('utf-8'			)
            elif token in self.added_tokens_encoder:
                 _SCREAMING_SNAKE_CASE							   =token.encode('utf-8'			)
            else:
                 _SCREAMING_SNAKE_CASE							   =bytes([ord(lowerCamelCase_			)]			)
            bstring += tok_string
       _SCREAMING_SNAKE_CASE							   =bstring.decode('utf-8'							, errors='ignore'			)
       return string





  def 						A  (		self				:     Any							, _a				:     int							, _a				:     List[Any] = None			)     ->   Tuple:





       '''simple docstring'''






       return ()



'''simple docstring'''
from __future__ import annotations

import json

import requests
from bsa import BeautifulSoup
from fake_useragent import UserAgent

lowerCamelCase			:				List[str] 			=					{"UserAgent": UserAgent().random}


def 	_lowerCAmelCase (						_UpperCamelCase						:					str    )				->      dict:
     """simple docstring"""




     _SCREAMING_SNAKE_CASE							   =script.contents[0]
     _SCREAMING_SNAKE_CASE							   =json.loads(data[data.find('{"config"'    ) : -1]    )
     return info["entry_data"]["ProfilePage"][0]["graphql"]["user"]







class 							A__   :





  def __init__(		self				:     int							, _a				:     List[Any]			)     ->   Optional[int]:





       '''simple docstring'''






       _SCREAMING_SNAKE_CASE							   =f"https://www.instagram.com/{username}/"
       _SCREAMING_SNAKE_CASE							   =self.get_json()





  def 						A  (		self				:     Optional[int]			)     ->   dict:





       '''simple docstring'''






       _SCREAMING_SNAKE_CASE							   =requests.get(self.url							, headers=_a			).text
       _SCREAMING_SNAKE_CASE							   =BeautifulSoup(_a							, 'html.parser'			).find_all('script'			)
       try:
            return extract_user_profile(scripts[4]			)
       except (json.decoder.JSONDecodeError, KeyError):
            return extract_user_profile(scripts[3]			)





  def __repr__(		self				:     str			)     ->   str:





       '''simple docstring'''






       return f"{self.__class__.__name__}('{self.username}')"





  def __str__(		self				:     Optional[int]			)     ->   str:





       '''simple docstring'''






       return f"{self.fullname} ({self.username}) is {self.biography}"





  @property
  def 						A  (		self				:     List[Any]			)     ->   str:





       '''simple docstring'''






       return self.user_data["username"]





  @property
  def 						A  (		self				:     str			)     ->   str:





       '''simple docstring'''






       return self.user_data["full_name"]





  @property
  def 						A  (		self				:     Any			)     ->   str:





       '''simple docstring'''






       return self.user_data["biography"]





  @property
  def 						A  (		self				:     Optional[Any]			)     ->   str:





       '''simple docstring'''






       return self.user_data["business_email"]





  @property
  def 						A  (		self				:     Tuple			)     ->   str:





       '''simple docstring'''






       return self.user_data["external_url"]





  @property
  def 						A  (		self				:     Optional[int]			)     ->   int:





       '''simple docstring'''






       return self.user_data["edge_followed_by"]["count"]





  @property
  def 						A  (		self				:     Union[str, Any]			)     ->   int:





       '''simple docstring'''






       return self.user_data["edge_follow"]["count"]





  @property
  def 						A  (		self				:     List[str]			)     ->   int:





       '''simple docstring'''






       return self.user_data["edge_owner_to_timeline_media"]["count"]





  @property
  def 						A  (		self				:     Union[str, Any]			)     ->   str:





       '''simple docstring'''






       return self.user_data["profile_pic_url_hd"]





  @property
  def 						A  (		self				:     Dict			)     ->   bool:





       '''simple docstring'''






       return self.user_data["is_verified"]





  @property
  def 						A  (		self				:     Tuple			)     ->   bool:





       '''simple docstring'''






       return self.user_data["is_private"]


def 	_lowerCAmelCase (						_UpperCamelCase						:					str = "github"    )				->      None:
     """simple docstring"""




     import os

     if os.environ.get('CI'    ):
          return  # test failing on GitHub Actions
     _SCREAMING_SNAKE_CASE							   =InstagramUser(_UpperCamelCase    )
     assert instagram_user.user_data
     assert isinstance(instagram_user.user_data							,			_UpperCamelCase    )
     assert instagram_user.username == username
     if username != "github":
          return
     assert instagram_user.fullname == "GitHub"
     assert instagram_user.biography == "Built for developers."
     assert instagram_user.number_of_posts > 1_50
     assert instagram_user.number_of_followers > 12_00_00
     assert instagram_user.number_of_followings > 15
     assert instagram_user.email == "support@github.com"
     assert instagram_user.website == "https://github.com/readme"
     assert instagram_user.profile_picture_url.startswith('https://instagram.'    )
     assert instagram_user.is_verified is True
     assert instagram_user.is_private is False


if __name__ == "__main__":
     import doctest

     doctest.testmod()
     lowerCamelCase			:				Optional[int] 			=					InstagramUser("github")
     print(instagram_user)
     print(f'''{instagram_user.number_of_posts = }''')
     print(f'''{instagram_user.number_of_followers = }''')
     print(f'''{instagram_user.number_of_followings = }''')
     print(f'''{instagram_user.email = }''')
     print(f'''{instagram_user.website = }''')
     print(f'''{instagram_user.profile_picture_url = }''')
     print(f'''{instagram_user.is_verified = }''')
     print(f'''{instagram_user.is_private = }''')
