



"""simple docstring"""







import os
import unicodedata
from shutil import copyfile
from typing import Any, Dict, List, Optional, Tuple

import sentencepiece as spm

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


lowerCAmelCase_   						=   logging.get_logger(__name__)

lowerCAmelCase_   						=   {'vocab_file': 'spiece.model'}

lowerCAmelCase_   						=   {
    'vocab_file': {
        'TsinghuaAI/CPM-Generate': 'https://huggingface.co/TsinghuaAI/CPM-Generate/resolve/main/spiece.model',
    }
}
class        __A       (	A_    ):







		'''simple docstring'''





		def __init__(	self						:  str			,_snake_case						:  Tuple			,_snake_case						:  int=False			,_snake_case						:  Union[str, Any]=True			,_snake_case						:  List[Any]=False			,_snake_case						:  Dict="<s>"			,_snake_case						:  Optional[Any]="</s>"			,_snake_case						:  List[str]="<unk>"			,_snake_case						:  int="<sep>"			,_snake_case						:  List[Any]="<pad>"			,_snake_case						:  Union[str, Any]="<cls>"			,_snake_case						:  str="<mask>"			,_snake_case						:  int=["<eop>", "<eod>"]			,_snake_case						:  Optional[Dict[str, Any]] = None			,**_snake_case						:  Optional[int]			,)					->		None:






				"""simple docstring"""



				lowercase__   :    Union[str, Any]				=			AddedToken(_snake_case			,lstrip=_snake_case			,rstrip=_snake_case						) if isinstance(_snake_case			,_snake_case						) else mask_token

				lowercase__   :    int				=			{} if sp_model_kwargs is None else sp_model_kwargs

				super().__init__(
				    do_lower_case=_snake_case			,remove_space=_snake_case			,keep_accents=_snake_case			,bos_token=_snake_case			,eos_token=_snake_case			,unk_token=_snake_case			,sep_token=_snake_case			,pad_token=_snake_case			,cls_token=_snake_case			,mask_token=_snake_case			,additional_special_tokens=_snake_case			,sp_model_kwargs=self.sp_model_kwargs			,**_snake_case			,)

				lowercase__   :    Any				=			3

				lowercase__   :    Union[str, Any]				=			do_lower_case
				lowercase__   :    Optional[int]				=			remove_space
				lowercase__   :    Optional[Any]				=			keep_accents
				lowercase__   :    List[str]				=			vocab_file

				lowercase__   :    str				=			spm.SentencePieceProcessor(**self.sp_model_kwargs						)
				self.sp_model.Load(_snake_case						)

				try:
						import jieba
				except ModuleNotFoundError as error:
						raise error.__class__(
						    '''You need to install jieba to use CpmTokenizer or CpmTokenizerFast. '''
						    '''See https://pypi.org/project/jieba/ for installation.'''						)
				lowercase__   :    Union[str, Any]				=			jieba
				lowercase__   :    Tuple				=			str.maketrans(''' \n'''			,'''\u2582\u2583'''						)







		@property
		# Copied from transformers.models.xlnet.tokenization_xlnet.XLNetTokenizer.vocab_size
		def 					UpperCAmelCase    (	self						:  Tuple						)					->		Optional[Any]:






				"""simple docstring"""



				return len(self.sp_model						)







		def 					UpperCAmelCase    (	self						:  Optional[Any]						)					->		Dict:






				"""simple docstring"""



				lowercase__   :    List[str]				=			{self.convert_ids_to_tokens(_snake_case						): i for i in range(self.vocab_size						)}
				vocab.update(self.added_tokens_encoder						)
				return vocab







		def __getstate__(	self						:  Optional[int]						)					->		Tuple:






				"""simple docstring"""



				lowercase__   :    Any				=			self.__dict__.copy()
				lowercase__   :    Optional[int]				=			None
				return state







		def __setstate__(	self						:  List[str]			,_snake_case						:  int						)					->		Union[str, Any]:






				"""simple docstring"""



				lowercase__   :    str				=			d

				# for backward compatibility
				if not hasattr(self			,'''sp_model_kwargs'''						):
						lowercase__   :    Dict				=			{}

				lowercase__   :    Optional[int]				=			spm.SentencePieceProcessor(**self.sp_model_kwargs						)
				self.sp_model.Load(self.vocab_file						)







		def 					UpperCAmelCase    (	self						:  List[str]			,_snake_case						:  Optional[Any]						)					->		Optional[Any]:






				"""simple docstring"""



				if self.remove_space:
						lowercase__   :    str				=			''' '''.join(inputs.strip().split()						)
				else:
						lowercase__   :    List[str]				=			inputs
				lowercase__   :    Tuple				=			outputs.replace('''``'''			,'''"'''						).replace('''\'\''''			,'''"'''						)

				if not self.keep_accents:
						lowercase__   :    Tuple				=			unicodedata.normalize('''NFKD'''			,_snake_case						)
						lowercase__   :    List[str]				=			''''''.join([c for c in outputs if not unicodedata.combining(_snake_case						)]						)
				if self.do_lower_case:
						lowercase__   :    List[str]				=			outputs.lower()

				return outputs







		def 					UpperCAmelCase    (	self						:  int			,_snake_case						:  str						)					->		List[str]:






				"""simple docstring"""



				lowercase__   :    Tuple				=			self.preprocess_text(_snake_case						)
				lowercase__   :    int				=			self.sp_model.encode(_snake_case			,out_type=_snake_case						)
				lowercase__   :    List[Any]				=			[]
				for piece in pieces:
						if len(_snake_case						) > 1 and piece[-1] == str(''','''						) and piece[-2].isdigit():
								lowercase__   :    List[str]				=			self.sp_model.EncodeAsPieces(piece[:-1].replace(_snake_case			,''''''						)						)
								if piece[0] != SPIECE_UNDERLINE and cur_pieces[0][0] == SPIECE_UNDERLINE:
										if len(cur_pieces[0]						) == 1:
												lowercase__   :    int				=			cur_pieces[1:]
										else:
												lowercase__   :    Union[str, Any]				=			cur_pieces[0][1:]
								cur_pieces.append(piece[-1]						)
								new_pieces.extend(_snake_case						)
						else:
								new_pieces.append(_snake_case						)

				return new_pieces







		def 					UpperCAmelCase    (	self						:  List[str]			,_snake_case						:  List[Any]						)					->		Union[str, Any]:






				"""simple docstring"""



				return self.sp_model.PieceToId(_snake_case						)







		def 					UpperCAmelCase    (	self						:  List[Any]			,_snake_case						:  Optional[Any]						)					->		Tuple:






				"""simple docstring"""



				return self.sp_model.IdToPiece(_snake_case						)







		def 					UpperCAmelCase    (	self						:  Dict			,_snake_case						:  int						)					->		Tuple:






				"""simple docstring"""



				lowercase__   :    List[Any]				=			''''''.join(_snake_case						).replace(_snake_case			,''' '''						).strip()
				return out_string







		def 					UpperCAmelCase    (	self						:  Tuple			,_snake_case						:  List[int]			,_snake_case						:  Optional[List[int]] = None						)					->		List[int]:






				"""simple docstring"""



				lowercase__   :    Tuple				=			[self.sep_token_id]
				lowercase__   :    Optional[Any]				=			[self.cls_token_id]
				if token_ids_a is None:
						return token_ids_a + sep + cls
				return token_ids_a + sep + token_ids_a + sep + cls







		def 					UpperCAmelCase    (	self						:  List[str]			,_snake_case						:  List[int]			,_snake_case						:  Optional[List[int]] = None			,_snake_case						:  bool = False						)					->		List[int]:






				"""simple docstring"""



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

				if token_ids_a is not None:
						return ([0] * len(_snake_case						)) + [1] + ([0] * len(_snake_case						)) + [1, 1]
				return ([0] * len(_snake_case						)) + [1, 1]







		def 					UpperCAmelCase    (	self						:  List[Any]			,_snake_case						:  List[int]			,_snake_case						:  Optional[List[int]] = None						)					->		List[int]:






				"""simple docstring"""



				lowercase__   :    Tuple				=			[self.sep_token_id]
				lowercase__   :    Any				=			[2]

				if token_ids_a is None:
						return len(token_ids_a + sep						) * [0] + cls_segment_id
				return len(token_ids_a + sep						) * [0] + len(token_ids_a + sep						) * [1] + cls_segment_id







		def 					UpperCAmelCase    (	self						:  Union[str, Any]			,_snake_case						:  str			,_snake_case						:  Optional[str] = None						)					->		Tuple[str]:






				"""simple docstring"""



				if not os.path.isdir(_snake_case						):
						logger.error(f"""Vocabulary path ({save_directory}) should be a directory"""						)
						return
				lowercase__   :    List[Any]				=			os.path.join(
				    _snake_case			,(filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']						)

				if os.path.abspath(self.vocab_file						) != os.path.abspath(_snake_case						) and os.path.isfile(self.vocab_file						):
						copyfile(self.vocab_file			,_snake_case						)
				elif not os.path.isfile(self.vocab_file						):
						with open(_snake_case			,'''wb'''						) as fi:
								lowercase__   :    Optional[Any]				=			self.sp_model.serialized_model_proto()
								fi.write(_snake_case						)

				return (out_vocab_file,)







		def 					UpperCAmelCase    (	self						:  List[Any]			,*_snake_case						:  List[Any]			,**_snake_case						:  List[str]						)					->		Dict:






				"""simple docstring"""



				lowercase__   :    Union[str, Any]				=			super()._decode(*_snake_case			,**_snake_case						)
				lowercase__   :    Tuple				=			text.replace(''' '''			,''''''						).replace('''\u2582'''			,''' '''						).replace('''\u2583'''			,'''\n'''						)
				return text




from __future__ import annotations

import json

import requests
from bsa import BeautifulSoup
from fake_useragent import UserAgent

UpperCAmelCase_      : Any  					=       {'UserAgent': UserAgent().random}







def        SCREAMING_SNAKE_CASE_						(			__A :			Optional[int]				)	->		dict:

       """simple docstring"""

       a_					:		Tuple							=  script.contents[0]
       a_					:		int							=  json.loads(data[data.find('{"config"'				) : -1]				)
       return info["entry_data"]["ProfilePage"][0]["graphql"]["user"]
class  SCREAMING_SNAKE_CASE__  :
      def __init__(       self				:       List[str]     ,							SCREAMING_SNAKE_CASE__				:       Dict     )		->			Optional[Any]:
             a_					:		Tuple							=  F"""https://www.instagram.com/{username}/"""
             a_					:		Optional[Any]							=  self.get_json()
      def        SCREAMING_SNAKE_CASE							(       self				:       Optional[Any]     )		->			dict:
             a_					:		Any							=  requests.get(self.url     ,							headers=SCREAMING_SNAKE_CASE__     ).text
             a_					:		Dict							=  BeautifulSoup(SCREAMING_SNAKE_CASE__     ,							'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				:       Union[str, Any]     )		->			str:
             return F"""{self.__class__.__name__}('{self.username}')"""
      def __str__(       self				:       Optional[int]     )		->			str:
             return F"""{self.fullname} ({self.username}) is {self.biography}"""
      @property
      def        SCREAMING_SNAKE_CASE							(       self				:       List[Any]     )		->			str:
             return self.user_data["username"]
      @property
      def        SCREAMING_SNAKE_CASE							(       self				:       str     )		->			str:
             return self.user_data["full_name"]
      @property
      def        SCREAMING_SNAKE_CASE							(       self				:       Any     )		->			str:
             return self.user_data["biography"]
      @property
      def        SCREAMING_SNAKE_CASE							(       self				:       Optional[Any]     )		->			str:
             return self.user_data["business_email"]
      @property
      def        SCREAMING_SNAKE_CASE							(       self				:       Optional[int]     )		->			str:
             return self.user_data["external_url"]
      @property
      def        SCREAMING_SNAKE_CASE							(       self				:       Dict     )		->			int:
             return self.user_data["edge_followed_by"]["count"]
      @property
      def        SCREAMING_SNAKE_CASE							(       self				:       Any     )		->			int:
             return self.user_data["edge_follow"]["count"]
      @property
      def        SCREAMING_SNAKE_CASE							(       self				:       str     )		->			int:
             return self.user_data["edge_owner_to_timeline_media"]["count"]
      @property
      def        SCREAMING_SNAKE_CASE							(       self				:       Union[str, Any]     )		->			str:
             return self.user_data["profile_pic_url_hd"]
      @property
      def        SCREAMING_SNAKE_CASE							(       self				:       Optional[int]     )		->			bool:
             return self.user_data["is_verified"]

      @property
      def        SCREAMING_SNAKE_CASE							(       self				:       Any     )		->			bool:
             return self.user_data["is_private"]







def        SCREAMING_SNAKE_CASE_						(			__A :			str = "github"				)	->		None:

       """simple docstring"""

       import os

       if os.environ.get('CI'				):
              return  # test failing on GitHub Actions
       a_					:		int							=  InstagramUser(__A				)
       assert instagram_user.user_data
       assert isinstance(instagram_user.user_data  ,    __A				)
       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()
   UpperCAmelCase_      : Union[str, Any]  					=       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 = }')


