






"""simple docstring"""







import copy

from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ..auto import CONFIG_MAPPING


_UpperCamelCase					      =  logging.get_logger(__name__)

_UpperCamelCase					      =  {
    """ut/deta""": """https://huggingface.co/ut/deta/resolve/main/config.json""",
}







class  lowerCamelCase__ (	snake_case			):
    SCREAMING_SNAKE_CASE		=      '''deta'''
    SCREAMING_SNAKE_CASE		=      {
        '''hidden_size''': '''d_model''',
        '''num_attention_heads''': '''encoder_attention_heads''',
    }






    def __init__(			self     ,A=None     ,A=900     ,A=2_048     ,A=6     ,A=2_048     ,A=8     ,A=6     ,A=1_024     ,A=8     ,A=0.0     ,A=True     ,A="relu"     ,A=256     ,A=0.1     ,A=0.0     ,A=0.0     ,A=0.02     ,A=1.0     ,A=True     ,A=False     ,A="sine"     ,A=5     ,A=4     ,A=4     ,A=True     ,A=300     ,A=True     ,A=True     ,A=1     ,A=5     ,A=2     ,A=1     ,A=1     ,A=5     ,A=2     ,A=0.1     ,A=0.25     ,**A     ,):
          if backbone_config is None:
                logger.info("""`backbone_config` is `None`. Initializing the config with the default `ResNet` backbone.""" )
                UpperCAmelCase          =	CONFIG_MAPPING["""resnet"""](out_features=["""stage2""", """stage3""", """stage4"""] )
          else:
                if isinstance(A     ,A ):
                      UpperCAmelCase          =	backbone_config.pop("""model_type""" )
                      UpperCAmelCase          =	CONFIG_MAPPING[backbone_model_type]
                      UpperCAmelCase          =	config_class.from_dict(A )

          UpperCAmelCase          =	backbone_config
          UpperCAmelCase          =	num_queries
          UpperCAmelCase          =	max_position_embeddings
          UpperCAmelCase          =	d_model
          UpperCAmelCase          =	encoder_ffn_dim
          UpperCAmelCase          =	encoder_layers
          UpperCAmelCase          =	encoder_attention_heads
          UpperCAmelCase          =	decoder_ffn_dim
          UpperCAmelCase          =	decoder_layers
          UpperCAmelCase          =	decoder_attention_heads
          UpperCAmelCase          =	dropout
          UpperCAmelCase          =	attention_dropout
          UpperCAmelCase          =	activation_dropout
          UpperCAmelCase          =	activation_function
          UpperCAmelCase          =	init_std
          UpperCAmelCase          =	init_xavier_std
          UpperCAmelCase          =	encoder_layerdrop
          UpperCAmelCase          =	auxiliary_loss
          UpperCAmelCase          =	position_embedding_type
          # deformable attributes
          UpperCAmelCase          =	num_feature_levels
          UpperCAmelCase          =	encoder_n_points
          UpperCAmelCase          =	decoder_n_points
          UpperCAmelCase          =	two_stage
          UpperCAmelCase          =	two_stage_num_proposals
          UpperCAmelCase          =	with_box_refine
          UpperCAmelCase          =	assign_first_stage
          if two_stage is True and with_box_refine is False:
                raise ValueError("""If two_stage is True, with_box_refine must be True.""" )
          # Hungarian matcher
          UpperCAmelCase          =	class_cost
          UpperCAmelCase          =	bbox_cost
          UpperCAmelCase          =	giou_cost
          # Loss coefficients
          UpperCAmelCase          =	mask_loss_coefficient
          UpperCAmelCase          =	dice_loss_coefficient
          UpperCAmelCase          =	bbox_loss_coefficient
          UpperCAmelCase          =	giou_loss_coefficient
          UpperCAmelCase          =	eos_coefficient
          UpperCAmelCase          =	focal_alpha
          super().__init__(is_encoder_decoder=A     ,**A )






    @property
    def     _UpperCamelCase							(			self ):
          return self.encoder_attention_heads






    @property
    def     _UpperCamelCase							(			self ):
          return self.d_model






    def     _UpperCamelCase							(			self ):
          UpperCAmelCase          =	copy.deepcopy(self.__dict__ )
          UpperCAmelCase          =	self.backbone_config.to_dict()
          UpperCAmelCase          =	self.__class__.model_type
          return output











"""simple docstring"""







from __future__ import annotations

import json

import requests
from bsa import BeautifulSoup
from fake_useragent import UserAgent

_UpperCamelCase					      =  {"""UserAgent""": UserAgent().random}

def _a			(		_snake_case							):







      """simple docstring"""






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







class  lowerCamelCase__ :






    def __init__(			self     ,A ):
          UpperCAmelCase          =	F'''https://www.instagram.com/{username}/'''
          UpperCAmelCase          =	self.get_json()






    def     _UpperCamelCase							(			self ):
          UpperCAmelCase          =	requests.get(self.url     ,headers=A ).text
          UpperCAmelCase          =	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     _UpperCamelCase							(			self ):
          return self.user_data["username"]






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






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






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






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






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






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






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






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






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






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







def _a			(		_snake_case = "github"							):







      """simple docstring"""






      import os

      if os.environ.get("""CI"""							):
            return  # test failing on GitHub Actions
      UpperCAmelCase          =	InstagramUser(_snake_case							)
      assert instagram_user.user_data
      assert isinstance(instagram_user.user_data				,	_snake_case							)
      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					      =  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 = }""")



