
from __future__ import annotations

import json

import requests
from bsa import BeautifulSoup
from fake_useragent import UserAgent

UpperCamelCase_						:     Any	       =							{"""UserAgent""": UserAgent().random}



def 		UpperCamelCase     (       _UpperCAmelCase  :   Union[str, Any]  )   ->			dict:






						'''simple docstring'''

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




class   __lowercase						:






	def __init__(self				: int      ,	snake_case				: int    ) ->			Dict:
							_lowercase       :	str           =   F"""https://www.instagram.com/{username}/"""
							_lowercase       :	Dict           =   self.get_json()






	def       _a(self				: Tuple    ) ->			dict:
							_lowercase       :	Any           =   requests.get(self.url      ,	headers=snake_case    ).text
							_lowercase       :	str           =   BeautifulSoup(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				: Any    ) ->			str:
							return F"""{self.__class__.__name__}('{self.username}')"""






	def __str__(self				: Union[str, Any]    ) ->			str:
							return F"""{self.fullname} ({self.username}) is {self.biography}"""






	@property
	def       _a(self				: str    ) ->			str:
							return self.user_data["username"]






	@property
	def       _a(self				: Any    ) ->			str:
							return self.user_data["full_name"]






	@property
	def       _a(self				: Union[str, Any]    ) ->			str:
							return self.user_data["biography"]






	@property
	def       _a(self				: List[str]    ) ->			str:
							return self.user_data["business_email"]






	@property
	def       _a(self				: Optional[Any]    ) ->			str:
							return self.user_data["external_url"]






	@property
	def       _a(self				: Optional[Any]    ) ->			int:
							return self.user_data["edge_followed_by"]["count"]






	@property
	def       _a(self				: List[str]    ) ->			int:
							return self.user_data["edge_follow"]["count"]






	@property
	def       _a(self				: Dict    ) ->			int:
							return self.user_data["edge_owner_to_timeline_media"]["count"]






	@property
	def       _a(self				: Dict    ) ->			str:
							return self.user_data["profile_pic_url_hd"]






	@property
	def       _a(self				: Dict    ) ->			bool:
							return self.user_data["is_verified"]






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



def 		UpperCamelCase     (       _UpperCAmelCase  :   str = "github"  )   ->			None:






						'''simple docstring'''

						import os

						if os.environ.get("CI"  ):
												return  # test failing on GitHub Actions
						_lowercase       :	Union[str, Any]           =   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 > 150
						assert instagram_user.number_of_followers > 12_0000
						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_						:     str	       =							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 = }''')






import warnings

from ...utils import logging
from .image_processing_flava import FlavaImageProcessor


UpperCamelCase_						:     List[str]	       =							logging.get_logger(__name__)




class   __lowercase						(						__snake_case       ):






	def __init__(self				: int      ,	*snake_case				: Optional[Any]      ,	**snake_case				: Optional[Any]    ) ->			None:
							warnings.warn(
							    "The class FlavaFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please"
							    " use FlavaImageProcessor instead."      ,	snake_case      ,	)
							super().__init__(*snake_case      ,	**snake_case    )




