'''simple docstring'''







from __future__ import annotations

import json

import requests
from bsa import BeautifulSoup
from fake_useragent import UserAgent

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


def    lowerCamelCase       (			UpperCAmelCase__				:  int		)			->	dict:


							'''simple docstring'''






							SCREAMING_SNAKE_CASE__     :List[Any]						    = script.contents[0]
							SCREAMING_SNAKE_CASE__     :Union[str, Any]						    = json.loads(data[data.find('{"config"'		) : -1]		)
							return info["entry_data"]["ProfilePage"][0]["graphql"]["user"]




class _SCREAMING_SNAKE_CASE:




						def __init__(    self :       Any							,							UpperCamelCase_ :       Any      )     ->				Optional[int]:
													SCREAMING_SNAKE_CASE__     :int						    = f'''https://www.instagram.com/{username}/'''
													SCREAMING_SNAKE_CASE__     :Tuple						    = self.get_json()




						def      __lowerCamelCase       (    self :       int      )     ->				dict:
													SCREAMING_SNAKE_CASE__     :Optional[Any]						    = requests.get(self.url							,							headers=UpperCamelCase_      ).text
													SCREAMING_SNAKE_CASE__     :int						    = BeautifulSoup(UpperCamelCase_							,							'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:
													return f'''{self.__class__.__name__}(\'{self.username}\')'''




						def __str__(    self :       Optional[int]      )     ->				str:
													return f'''{self.fullname} ({self.username}) is {self.biography}'''




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




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




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




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




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




						@property
						def      __lowerCamelCase       (    self :       Union[str, Any]      )     ->				int:
													return self.user_data["edge_followed_by"]["count"]




						@property
						def      __lowerCamelCase       (    self :       Tuple      )     ->				int:
													return self.user_data["edge_follow"]["count"]




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




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




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




						@property
						def      __lowerCamelCase       (    self :       Union[str, Any]      )     ->				bool:
													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__     :List[str]						    = 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_5_0
							assert instagram_user.number_of_followers > 1_2_0_0_0_0
							assert instagram_user.number_of_followings > 1_5
							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_      	=	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 = }")







'''simple docstring'''







from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


UpperCamelCase_      	=	{
    '''configuration_x_clip''': [
        '''XCLIP_PRETRAINED_CONFIG_ARCHIVE_MAP''',
        '''XCLIPConfig''',
        '''XCLIPTextConfig''',
        '''XCLIPVisionConfig''',
    ],
    '''processing_x_clip''': ['''XCLIPProcessor'''],
}

try:
		if not is_torch_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		UpperCamelCase_      	=	[
		    '''XCLIP_PRETRAINED_MODEL_ARCHIVE_LIST''',
		    '''XCLIPModel''',
		    '''XCLIPPreTrainedModel''',
		    '''XCLIPTextModel''',
		    '''XCLIPVisionModel''',
		]

if TYPE_CHECKING:
		from .configuration_x_clip import (
		    XCLIP_PRETRAINED_CONFIG_ARCHIVE_MAP,
		    XCLIPConfig,
		    XCLIPTextConfig,
		    XCLIPVisionConfig,
		)
		from .processing_x_clip import XCLIPProcessor

		try:
				if not is_torch_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_x_clip import (
				    XCLIP_PRETRAINED_MODEL_ARCHIVE_LIST,
				    XCLIPModel,
				    XCLIPPreTrainedModel,
				    XCLIPTextModel,
				    XCLIPVisionModel,
				)

else:
		import sys

		UpperCamelCase_      	=	_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)






