'''simple docstring'''

from __future__ import annotations

import json

import requests
from bsa import BeautifulSoup
from fake_useragent import UserAgent

A_     :						str    							={'''UserAgent''': UserAgent().random}



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


class     __UpperCAmelCase       :





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





  def 						UpperCAmelCase_	(	self ):
     lowerCAmelCase_			=      requests.get(self.url    ,     headers=_lowerCamelCase ).text
     lowerCAmelCase_			=      BeautifulSoup(_lowerCamelCase    ,     '''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 snake_case_      (					__snake_case  :							str = "github")			->					None:
   import os

   if os.environ.get('''CI'''):
      return  # test failing on GitHub Actions
   lowerCAmelCase_			=      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 > 120000
   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()
 A_     :						Optional[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 = }''')






'''simple docstring'''

import gc
import threading
import time

import psutil
import torch


class     __UpperCAmelCase       :





  def __init__(	self ):
     lowerCAmelCase_			=      psutil.Process()
     lowerCAmelCase_			=      False





  def 						UpperCAmelCase_	(	self ):
     lowerCAmelCase_			=      -1

     while True:
        lowerCAmelCase_			=      max(self.process.memory_info().rss    ,     self.cpu_memory_peak )

        # can't sleep or will not catch the peak right (this comment is here on purpose)
        if not self.peak_monitoring:
           break





  def 						UpperCAmelCase_	(	self ):
     lowerCAmelCase_			=      True
     lowerCAmelCase_			=      threading.Thread(target=self.peak_monitor )
     lowerCAmelCase_			=      True
     self.thread.start()







  def 						UpperCAmelCase_	(	self ):
     lowerCAmelCase_			=      False
     self.thread.join()
     return self.cpu_memory_peak






A_     :						List[str]    							=PeakCPUMemory()



def snake_case_      (					)			->					Tuple:
   # Time
   lowerCAmelCase_			=      {'''time''': time.time()}

   gc.collect()
   torch.cuda.empty_cache()

   # CPU mem
   lowerCAmelCase_			=      psutil.Process().memory_info().rss
   cpu_peak_tracker.start()

   # GPU mem
   for i in range(torch.cuda.device_count()):
      lowerCAmelCase_			=      torch.cuda.memory_allocated(__snake_case)
   torch.cuda.reset_peak_memory_stats()

   return measures



def snake_case_      (					__snake_case  :							Any)			->					List[str]:
   # Time
   lowerCAmelCase_			=      {'''time''': time.time() - start_measures['''time''']}

   gc.collect()
   torch.cuda.empty_cache()

   # CPU mem
   lowerCAmelCase_			=      (psutil.Process().memory_info().rss - start_measures['''cpu''']) / 2**20
   lowerCAmelCase_			=      (cpu_peak_tracker.stop() - start_measures['''cpu''']) / 2**20

   # GPU mem
   for i in range(torch.cuda.device_count()):
      lowerCAmelCase_			=      (torch.cuda.memory_allocated(__snake_case) - start_measures[str(__snake_case)]) / 2**20
      lowerCAmelCase_			=      (torch.cuda.max_memory_allocated(__snake_case) - start_measures[str(__snake_case)]) / 2**20

   return measures






def snake_case_      (					__snake_case  :							Dict	,   __snake_case  :							Optional[int])			->					Dict:
   print(F'''{description}:''')
   print(F'''- Time: {measures['time']:.2f}s''')
   for i in range(torch.cuda.device_count()):
      print(F'''- GPU {i} allocated: {measures[str(__snake_case)]:.2f}MiB''')
      lowerCAmelCase_			=      measures[F'''{i}-peak''']
      print(F'''- GPU {i} peak: {peak:.2f}MiB''')
   print(F'''- CPU RAM allocated: {measures['cpu']:.2f}MiB''')
   print(F'''- CPU RAM peak: {measures['cpu-peak']:.2f}MiB''')





