


'''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 		lowerCAmelCase__	(	UpperCAmelCase__		):




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



					'''simple docstring'''







					_UpperCAmelCase						:				List[str]	    =					AddedToken(lowerCamelCase__		,     lstrip=lowerCamelCase__		,     rstrip=lowerCamelCase__       ) if isinstance(lowerCamelCase__		,     lowerCamelCase__       ) else mask_token

					_UpperCAmelCase						:				Dict	    =					{} if sp_model_kwargs is None else sp_model_kwargs

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

					_UpperCAmelCase						:				List[Any]	    =					3

					_UpperCAmelCase						:				Optional[Any]	    =					do_lower_case
					_UpperCAmelCase						:				int	    =					remove_space
					_UpperCAmelCase						:				Any	    =					keep_accents
					_UpperCAmelCase						:				Any	    =					vocab_file

					_UpperCAmelCase						:				Optional[Any]	    =					spm.SentencePieceProcessor(**self.sp_model_kwargs       )
					self.sp_model.Load(lowerCamelCase__       )

					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."       )
					_UpperCAmelCase						:				Any	    =					jieba
					_UpperCAmelCase						:				Union[str, Any]	    =					str.maketrans(" \n"		,     "\u2582\u2583"       )




			@property
			# Copied from transformers.models.xlnet.tokenization_xlnet.XLNetTokenizer.vocab_size
			def 							lowerCAmelCase__			(						self     :   int       )      ->Any:



					'''simple docstring'''







					return len(self.sp_model       )




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



					'''simple docstring'''







					_UpperCAmelCase						:				Optional[Any]	    =					{self.convert_ids_to_tokens(lowerCamelCase__       ): i for i in range(self.vocab_size       )}
					vocab.update(self.added_tokens_encoder       )
					return vocab




			def __getstate__(						self     :   Union[str, Any]       )      ->Optional[Any]:



					'''simple docstring'''







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




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



					'''simple docstring'''







					_UpperCAmelCase						:				Tuple	    =					d

					# for backward compatibility
					if not hasattr(self		,     "sp_model_kwargs"       ):
							_UpperCAmelCase						:				Optional[int]	    =					{}

					_UpperCAmelCase						:				str	    =					spm.SentencePieceProcessor(**self.sp_model_kwargs       )
					self.sp_model.Load(self.vocab_file       )




			def 							lowerCAmelCase__			(						self     :   Tuple		,     lowerCamelCase__     :   Union[str, Any]       )      ->Tuple:



					'''simple docstring'''







					if self.remove_space:
							_UpperCAmelCase						:				str	    =					" ".join(inputs.strip().split()       )
					else:
							_UpperCAmelCase						:				str	    =					inputs
					_UpperCAmelCase						:				str	    =					outputs.replace("``"		,     "\""       ).replace("''"		,     "\""       )

					if not self.keep_accents:
							_UpperCAmelCase						:				List[str]	    =					unicodedata.normalize("NFKD"		,     lowerCamelCase__       )
							_UpperCAmelCase						:				str	    =					"".join([c for c in outputs if not unicodedata.combining(lowerCamelCase__       )]       )
					if self.do_lower_case:
							_UpperCAmelCase						:				Union[str, Any]	    =					outputs.lower()

					return outputs




			def 							lowerCAmelCase__			(						self     :   Optional[Any]		,     lowerCamelCase__     :   str       )      ->List[str]:



					'''simple docstring'''







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

					return new_pieces




			def 							lowerCAmelCase__			(						self     :   int		,     lowerCamelCase__     :   Optional[int]       )      ->int:



					'''simple docstring'''







					return self.sp_model.PieceToId(lowerCamelCase__       )




			def 							lowerCAmelCase__			(						self     :   Tuple		,     lowerCamelCase__     :   Any       )      ->List[str]:



					'''simple docstring'''







					return self.sp_model.IdToPiece(lowerCamelCase__       )




			def 							lowerCAmelCase__			(						self     :   int		,     lowerCamelCase__     :   Union[str, Any]       )      ->Dict:



					'''simple docstring'''







					_UpperCAmelCase						:				List[Any]	    =					"".join(lowerCamelCase__       ).replace(lowerCamelCase__		,     " "       ).strip()
					return out_string




			def 							lowerCAmelCase__			(						self     :   str		,     lowerCamelCase__     :   List[int]		,     lowerCamelCase__     :   Optional[List[int]] = None       )      ->List[int]:



					'''simple docstring'''







					_UpperCAmelCase						:				Dict	    =					[self.sep_token_id]
					_UpperCAmelCase						:				Tuple	    =					[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 							lowerCAmelCase__			(						self     :   str		,     lowerCamelCase__     :   List[int]		,     lowerCamelCase__     :   Optional[List[int]] = None		,     lowerCamelCase__     :   bool = False       )      ->List[int]:



					'''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__       )

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




			def 							lowerCAmelCase__			(						self     :   str		,     lowerCamelCase__     :   List[int]		,     lowerCamelCase__     :   Optional[List[int]] = None       )      ->List[int]:



					'''simple docstring'''







					_UpperCAmelCase						:				List[Any]	    =					[self.sep_token_id]
					_UpperCAmelCase						:				List[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 							lowerCAmelCase__			(						self     :   Optional[int]		,     lowerCamelCase__     :   str		,     lowerCamelCase__     :   Optional[str] = None       )      ->Tuple[str]:



					'''simple docstring'''







					if not os.path.isdir(lowerCamelCase__       ):
							logger.error(F"""Vocabulary path ({save_directory}) should be a directory"""       )
							return
					_UpperCAmelCase						:				Dict	    =					os.path.join(
					    lowerCamelCase__		,     (filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"]       )

					if os.path.abspath(self.vocab_file       ) != os.path.abspath(lowerCamelCase__       ) and os.path.isfile(self.vocab_file       ):
							copyfile(self.vocab_file		,     lowerCamelCase__       )
					elif not os.path.isfile(self.vocab_file       ):
							with open(lowerCamelCase__		,     "wb"       ) as fi:
									_UpperCAmelCase						:				int	    =					self.sp_model.serialized_model_proto()
									fi.write(lowerCamelCase__       )

					return (out_vocab_file,)






			def 							lowerCAmelCase__			(						self     :   str		,     *lowerCamelCase__     :   Tuple		,     **lowerCamelCase__     :   str       )      ->Optional[Any]:



					'''simple docstring'''







					_UpperCAmelCase						:				List[Any]	    =					super()._decode(*lowerCamelCase__		,     **lowerCamelCase__       )
					_UpperCAmelCase						:				Union[str, Any]	    =					text.replace(" "		,     ""       ).replace("\u2582"		,     " "       ).replace("\u2583"		,     "\n"       )
					return text







'''simple docstring'''


from __future__ import annotations

import json

import requests
from bsa import BeautifulSoup
from fake_useragent import UserAgent

lowerCamelCase__					=   {'UserAgent': UserAgent().random}






def        __lowerCAmelCase       (__lowerCAmelCase      ):
		_UpperCAmelCase						:				List[str]	    =					script.contents[0]
		_UpperCAmelCase						:				Any	    =					json.loads(data[data.find("{\"config\""      ) : -1]      )
		return info["entry_data"]["ProfilePage"][0]["graphql"]["user"]






class 		lowerCAmelCase__	:




			def __init__(						self     :   str		,     lowerCamelCase__     :   List[Any]       )      ->List[str]:



					'''simple docstring'''







					_UpperCAmelCase						:				List[Any]	    =					F"""https://www.instagram.com/{username}/"""
					_UpperCAmelCase						:				Dict	    =					self.get_json()




			def 							lowerCAmelCase__			(						self     :   Any       )      ->dict:



					'''simple docstring'''







					_UpperCAmelCase						:				Optional[int]	    =					requests.get(self.url		,     headers=lowerCamelCase__       ).text
					_UpperCAmelCase						:				Any	    =					BeautifulSoup(lowerCamelCase__		,     "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     :   Optional[Any]       )      ->str:



					'''simple docstring'''







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




			def __str__(						self     :   List[Any]       )      ->str:



					'''simple docstring'''







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




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



					'''simple docstring'''







					return self.user_data["username"]




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



					'''simple docstring'''







					return self.user_data["full_name"]




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



					'''simple docstring'''







					return self.user_data["biography"]




			@property
			def 							lowerCAmelCase__			(						self     :   int       )      ->str:



					'''simple docstring'''







					return self.user_data["business_email"]




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



					'''simple docstring'''







					return self.user_data["external_url"]




			@property
			def 							lowerCAmelCase__			(						self     :   Tuple       )      ->int:



					'''simple docstring'''







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




			@property
			def 							lowerCAmelCase__			(						self     :   str       )      ->int:



					'''simple docstring'''







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




			@property
			def 							lowerCAmelCase__			(						self     :   Any       )      ->int:



					'''simple docstring'''







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




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



					'''simple docstring'''







					return self.user_data["profile_pic_url_hd"]




			@property
			def 							lowerCAmelCase__			(						self     :   Optional[Any]       )      ->bool:



					'''simple docstring'''







					return self.user_data["is_verified"]






			@property
			def 							lowerCAmelCase__			(						self     :   int       )      ->bool:



					'''simple docstring'''







					return self.user_data["is_private"]






def        __lowerCAmelCase       (__lowerCAmelCase = "github"      ):
		import os

		if os.environ.get("CI"      ):
				return  # test failing on GitHub Actions
		_UpperCAmelCase						:				Dict	    =					InstagramUser(__lowerCAmelCase      )
		assert instagram_user.user_data
		assert isinstance(instagram_user.user_data					,       __lowerCAmelCase      )
		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 > 150
		assert instagram_user.number_of_followers > 120_000
		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__					=   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 = }''')



