






"""simple docstring"""







from dataclasses import dataclass, field
from typing import Tuple

from ..utils import cached_property, is_torch_available, is_torch_tpu_available, logging, requires_backends
from .benchmark_args_utils import BenchmarkArguments


if is_torch_available():
  import torch

if is_torch_tpu_available(check_device=False):
  import torch_xla.core.xla_model as xm


_UpperCamelCase					      =  logging.get_logger(__name__)







@dataclass
class  lowerCamelCase__ (	snake_case			):
    SCREAMING_SNAKE_CASE		=      [
        '''no_inference''',
        '''no_cuda''',
        '''no_tpu''',
        '''no_speed''',
        '''no_memory''',
        '''no_env_print''',
        '''no_multi_process''',
    ]






    def __init__(			self     ,**A ):
          for deprecated_arg in self.deprecated_args:
                if deprecated_arg in kwargs:
                      UpperCAmelCase          =	deprecated_arg[3:]
                      setattr(self     ,A     ,not kwargs.pop(A ) )
                      logger.warning(
                          F'''{deprecated_arg} is depreciated. Please use --no_{positive_arg} or'''
                          F''' {positive_arg}={kwargs[positive_arg]}''' )

          UpperCAmelCase          =	kwargs.pop("""torchscript"""     ,self.torchscript )
          UpperCAmelCase          =	kwargs.pop("""torch_xla_tpu_print_metrics"""     ,self.torch_xla_tpu_print_metrics )
          UpperCAmelCase          =	kwargs.pop("""fp16_opt_level"""     ,self.fpaa_opt_level )
          super().__init__(**A )

    SCREAMING_SNAKE_CASE		=      field(default=snake_case   ,					metadata={'''help''': '''Trace the models using torchscript'''}			)
    SCREAMING_SNAKE_CASE		=      field(default=snake_case   ,					metadata={'''help''': '''Print Xla/PyTorch tpu metrics'''}			)
    SCREAMING_SNAKE_CASE		=      field(
        default='''O1'''   ,					metadata={
            '''help''': (
                '''For fp16: Apex AMP optimization level selected in [\'O0\', \'O1\', \'O2\', and \'O3\']. '''
                '''See details at https://nvidia.github.io/apex/amp.html'''
            )
        }   ,					)






    @cached_property
    def     _UpperCamelCase							(			self ):
          requires_backends(self     ,["""torch"""] )
          logger.info("""PyTorch: setting up devices""" )
          if not self.cuda:
                UpperCAmelCase          =	torch.device("""cpu""" )
                UpperCAmelCase          =	0
          elif is_torch_tpu_available():
                UpperCAmelCase          =	xm.xla_device()
                UpperCAmelCase          =	0
          else:
                UpperCAmelCase          =	torch.device("""cuda""" if torch.cuda.is_available() else """cpu""" )
                UpperCAmelCase          =	torch.cuda.device_count()
          return device, n_gpu






    @property
    def     _UpperCamelCase							(			self ):
          return is_torch_tpu_available() and self.tpu






    @property
    def     _UpperCamelCase							(			self ):
          requires_backends(self     ,["""torch"""] )
          # TODO(PVP): currently only single GPU is supported
          return torch.cuda.current_device()






    @property
    def     _UpperCamelCase							(			self ):
          requires_backends(self     ,["""torch"""] )
          return self._setup_devices[0]






    @property
    def     _UpperCamelCase							(			self ):
          requires_backends(self     ,["""torch"""] )
          return self._setup_devices[1]






    @property
    def     _UpperCamelCase							(			self ):
          return self.n_gpu > 0











"""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 = }""")



