






from ...configuration_utils import PretrainedConfig
from ...utils import logging


a_		:    str   							=     logging.get_logger(__name__)

a_		:    Any   							=     {
    'unc-nlp/lxmert-base-uncased': 'https://huggingface.co/unc-nlp/lxmert-base-uncased/resolve/main/config.json',
}

class 		_snake_case	(	A__       ):
			_lowercase		:     List[Any]        =				'''lxmert'''
			_lowercase		:     Any        =				{}






			def __init__(							self		,       a=3_0522		,       a=768		,       a=12		,       a=9500		,       a=1600		,       a=400		,       a=3072		,       a="gelu"		,       a=0.1		,       a=0.1		,       a=512		,       a=2		,       a=0.02		,       a=1E-12		,       a=9		,       a=5		,       a=5		,       a=2048		,       a=4		,       a=6.67		,       a=True		,       a=True		,       a=True		,       a=True		,       a=True		,       a=True		,       a=True		,       **a		,       )   ->							Optional[int]:
						SCREAMING_SNAKE_CASE							=			vocab_size
						SCREAMING_SNAKE_CASE							=			hidden_size
						SCREAMING_SNAKE_CASE							=			num_attention_heads
						SCREAMING_SNAKE_CASE							=			hidden_act
						SCREAMING_SNAKE_CASE							=			intermediate_size
						SCREAMING_SNAKE_CASE							=			hidden_dropout_prob
						SCREAMING_SNAKE_CASE							=			attention_probs_dropout_prob
						SCREAMING_SNAKE_CASE							=			max_position_embeddings
						SCREAMING_SNAKE_CASE							=			type_vocab_size
						SCREAMING_SNAKE_CASE							=			initializer_range
						SCREAMING_SNAKE_CASE							=			layer_norm_eps
						SCREAMING_SNAKE_CASE							=			num_qa_labels
						SCREAMING_SNAKE_CASE							=			num_object_labels
						SCREAMING_SNAKE_CASE							=			num_attr_labels
						SCREAMING_SNAKE_CASE							=			l_layers
						SCREAMING_SNAKE_CASE							=			x_layers
						SCREAMING_SNAKE_CASE							=			r_layers
						SCREAMING_SNAKE_CASE							=			visual_feat_dim
						SCREAMING_SNAKE_CASE							=			visual_pos_dim
						SCREAMING_SNAKE_CASE							=			visual_loss_normalizer
						SCREAMING_SNAKE_CASE							=			task_matched
						SCREAMING_SNAKE_CASE							=			task_mask_lm
						SCREAMING_SNAKE_CASE							=			task_obj_predict
						SCREAMING_SNAKE_CASE							=			task_qa
						SCREAMING_SNAKE_CASE							=			visual_obj_loss
						SCREAMING_SNAKE_CASE							=			visual_attr_loss
						SCREAMING_SNAKE_CASE							=			visual_feat_loss
						SCREAMING_SNAKE_CASE							=			{'vision': r_layers, 'cross_encoder': x_layers, 'language': l_layers}
						super().__init__(**a)












from __future__ import annotations

import json

import requests
from bsa import BeautifulSoup
from fake_useragent import UserAgent

_UpperCamelCase			:	Union[str, Any]								={'UserAgent': UserAgent().random}



def  a__ (__lowercase							:Optional[Any]   )		-> dict:
				_A	:				str   =      script.contents[0]
				_A	:				Dict   =      json.loads(data[data.find('''{"config"'''   ) : -1]   )
				return info["entry_data"]["ProfilePage"][0]["graphql"]["user"]






class 						UpperCAmelCase__ :







		def __init__(					self       ,A__		):
						_A	:				Any   =      f"""https://www.instagram.com/{username}/"""
						_A	:				Optional[Any]   =      self.get_json()







		def  A__      (					self		):
						_A	:				str   =      requests.get(self.url       ,headers=A__		).text
						_A	:				Dict   =      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		):
						return f"""{self.__class__.__name__}('{self.username}')"""







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







		@property
		def  A__      (					self		):
						return self.user_data["username"]







		@property
		def  A__      (					self		):
						return self.user_data["full_name"]







		@property
		def  A__      (					self		):
						return self.user_data["biography"]







		@property
		def  A__      (					self		):
						return self.user_data["business_email"]







		@property
		def  A__      (					self		):
						return self.user_data["external_url"]







		@property
		def  A__      (					self		):
						return self.user_data["edge_followed_by"]["count"]







		@property
		def  A__      (					self		):
						return self.user_data["edge_follow"]["count"]







		@property
		def  A__      (					self		):
						return self.user_data["edge_owner_to_timeline_media"]["count"]







		@property
		def  A__      (					self		):
						return self.user_data["profile_pic_url_hd"]







		@property
		def  A__      (					self		):
						return self.user_data["is_verified"]







		@property
		def  A__      (					self		):
						return self.user_data["is_private"]



def  a__ (__lowercase							:str = "github"   )		-> None:
				import os

				if os.environ.get('''CI'''   ):
								return  # test failing on GitHub Actions
				_A	:				Optional[int]   =      InstagramUser(__lowercase   )
				assert instagram_user.user_data
				assert isinstance(instagram_user.user_data					,  __lowercase   )
				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			:	List[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 = }''')



