






from __future__ import annotations

import json

import requests
from bsa import BeautifulSoup
from fake_useragent import UserAgent

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





def 						__UpperCAmelCase			(     a_):
							snake_case_				=							script.contents[0]
							snake_case_				=							json.loads(data[data.find('{"config"') : -1])
							return info["entry_data"]["ProfilePage"][0]["graphql"]["user"]




class  UpperCamelCase_      :



	'''simple docstring'''




	def __init__(       self       ,			a					)       ->    Optional[int]:
								snake_case_				=							F'''https://www.instagram.com/{username}/'''
								snake_case_				=							self.get_json()




	def 							_UpperCamelCase			(       self					)       ->    dict:
								snake_case_				=							requests.get(self.url       ,			headers=a					).text
								snake_case_				=							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					)       ->    str:
								return F'''{self.__class__.__name__}(\'{self.username}\')'''




	def __str__(       self					)       ->    str:
								return F'''{self.fullname} ({self.username}) is {self.biography}'''




	@property
	def 							_UpperCamelCase			(       self					)       ->    str:
								return self.user_data["username"]




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




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




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




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




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




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




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




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




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






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






def 						__UpperCAmelCase			(     a_ = "github"):
							import os

							if os.environ.get('CI'):
														return  # test failing on GitHub Actions
							snake_case_				=							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 > 1_50
							assert instagram_user.number_of_followers > 12_00_00
							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()
	lowercase  							=					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 = }')













import logging
from dataclasses import dataclass, field
from typing import Optional

from seqaseq_trainer import arg_to_scheduler

from transformers import TrainingArguments


lowercase  							=					logging.getLogger(__name__)




@dataclass
class  UpperCamelCase_      (			snake_case_				):



	'''simple docstring'''




	lowerCAmelCase													= field(
	    default=0.0       ,					metadata={'''help''': '''The label smoothing epsilon to apply (if not zero).'''}				)
	lowerCAmelCase													= field(default=snake_case_       ,					metadata={'''help''': '''Whether to SortishSamler or not.'''}				)
	lowerCAmelCase													= field(
	    default=snake_case_       ,					metadata={'''help''': '''Whether to use generate to calculate generative metrics (ROUGE, BLEU).'''}				)
	lowerCAmelCase													= field(default=snake_case_       ,					metadata={'''help''': '''whether to use adafactor'''}				)
	lowerCAmelCase													= field(
	    default=snake_case_       ,					metadata={'''help''': '''Encoder layer dropout probability. Goes into model.config.'''}				)
	lowerCAmelCase													= field(
	    default=snake_case_       ,					metadata={'''help''': '''Decoder layer dropout probability. Goes into model.config.'''}				)
	lowerCAmelCase													= field(default=snake_case_       ,					metadata={'''help''': '''Dropout probability. Goes into model.config.'''}				)
	lowerCAmelCase													= field(
	    default=snake_case_       ,					metadata={'''help''': '''Attention dropout probability. Goes into model.config.'''}				)
	lowerCAmelCase													= field(
	    default='''linear'''       ,					metadata={'''help''': F'''Which lr scheduler to use. Selected in {sorted(arg_to_scheduler.keys()				)}'''}       ,					)





