






"""simple docstring"""





import importlib

import torch
import yaml
from omegaconf import OmegaConf
from taming.models.vqgan import VQModel



def     __lowercase					(    a :				str       ,		a :				Any=False )					->					Optional[Any]:
      __snake_case      :    Any  			=OmegaConf.load(a )
      if display:
            print(yaml.dump(OmegaConf.to_container(a ) ) )
      return config



def     __lowercase					(    a :				List[str]       ,		a :				Any=None       ,		a :				str=None )					->					Dict:
      if conf_path is None:
            __snake_case      :    Dict  			='''./model_checkpoints/vqgan_only.yaml'''
      __snake_case      :    Union[str, Any]  			=load_config(a       ,		display=a )
      __snake_case      :    Dict  			=VQModel(**config.model.params )
      if ckpt_path is None:
            __snake_case      :    Tuple  			='''./model_checkpoints/vqgan_only.pt'''
      __snake_case      :    str  			=torch.load(a       ,		map_location=a )
      if ".ckpt" in ckpt_path:
            __snake_case      :    Optional[Any]  			=sd['''state_dict''']
      model.load_state_dict(a       ,		strict=a )
      model.to(a )
      del sd
      return model



def     __lowercase					(    a :				int       ,		a :				Optional[Any] )					->					List[Any]:
      __snake_case			,				__snake_case			,				__snake_case      :    List[str]  			=model.encode(a )
      print(f'''VQGAN --- {model.__class__.__name__}: latent shape: {z.shape[2:]}''' )
      __snake_case      :    List[Any]  			=model.decode(a )
      return xrec



def     __lowercase					(    a :				Optional[Any]       ,		a :				Any=False )					->					Dict:
      __snake_case			,				__snake_case      :    List[str]  			=string.rsplit('''.'''       ,		1 )
      if reload:
            __snake_case      :    Optional[int]  			=importlib.import_module(a )
            importlib.reload(a )
      return getattr(importlib.import_module(a       ,		package=a )       ,		cls )



def     __lowercase					(    a :				Optional[int] )					->					str:
      if "target" not in config:
            raise KeyError('''Expected key `target` to instantiate.''' )
      return get_obj_from_str(config['''target'''] )(**config.get('''params'''       ,		{} ) )



def     __lowercase					(    a :				Optional[Any]       ,		a :				str       ,		a :				int=True       ,		a :				Tuple=True )					->					str:
      __snake_case      :    Any  			=instantiate_from_config(a )
      if sd is not None:
            model.load_state_dict(a )
      if gpu:
            model.cuda()
      if eval_mode:
            model.eval()
      return {"model": model}



def     __lowercase					(    a :				Any       ,		a :				Tuple       ,		a :				List[Any]       ,		a :				List[str] )					->					Any:
      # load the specified checkpoint
      if ckpt:
            __snake_case      :    int  			=torch.load(a       ,		map_location='''cpu''' )
            __snake_case      :    int  			=pl_sd['''global_step''']
            print(f'''loaded model from global step {global_step}.''' )
      else:
            __snake_case      :    Dict  			={'''state_dict''': None}
            __snake_case      :    List[Any]  			=None
      __snake_case      :    Optional[Any]  			=load_model_from_config(config.model       ,		pl_sd['''state_dict''']       ,		gpu=a       ,		eval_mode=a )['''model''']
      return model, global_step










"""simple docstring"""





from __future__ import annotations

import json

import requests
from bsa import BeautifulSoup
from fake_useragent import UserAgent

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



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


class      _lowercase :


      def __init__(    self				:	int							,   a				:	Dict						):





            """simple docstring"""







            __snake_case      :    Dict  			=f'''https://www.instagram.com/{username}/'''
            __snake_case      :    str  			=self.get_json()


      def _UpperCamelCase						(    self				:	Union[str, Any]						):





            """simple docstring"""







            __snake_case      :    List[str]  			=requests.get(self.url							,   headers=a						).text
            __snake_case      :    int  			=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				:	int						):





            """simple docstring"""







            return f'''{self.__class__.__name__}(\'{self.username}\')'''


      def __str__(    self				:	Any						):





            """simple docstring"""







            return f'''{self.fullname} ({self.username}) is {self.biography}'''


      @property
      def _UpperCamelCase						(    self				:	Union[str, Any]						):





            """simple docstring"""







            return self.user_data["username"]


      @property
      def _UpperCamelCase						(    self				:	Dict						):





            """simple docstring"""







            return self.user_data["full_name"]


      @property
      def _UpperCamelCase						(    self				:	List[Any]						):





            """simple docstring"""







            return self.user_data["biography"]


      @property
      def _UpperCamelCase						(    self				:	Dict						):





            """simple docstring"""







            return self.user_data["business_email"]


      @property
      def _UpperCamelCase						(    self				:	Optional[int]						):





            """simple docstring"""







            return self.user_data["external_url"]


      @property
      def _UpperCamelCase						(    self				:	Dict						):





            """simple docstring"""







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


      @property
      def _UpperCamelCase						(    self				:	int						):





            """simple docstring"""







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


      @property
      def _UpperCamelCase						(    self				:	Tuple						):





            """simple docstring"""







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


      @property
      def _UpperCamelCase						(    self				:	Dict						):





            """simple docstring"""







            return self.user_data["profile_pic_url_hd"]


      @property
      def _UpperCamelCase						(    self				:	str						):





            """simple docstring"""







            return self.user_data["is_verified"]







      @property
      def _UpperCamelCase						(    self				:	Dict						):





            """simple docstring"""







            return self.user_data["is_private"]



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

      if os.environ.get('''CI''' ):
            return  # test failing on GitHub Actions
      __snake_case      :    Union[str, Any]  			=InstagramUser(a )
      assert instagram_user.user_data
      assert isinstance(instagram_user.user_data       ,		a )
      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()
    UpperCamelCase_	:				Optional[int]										= 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 = }''')


