from __future__ import annotations

import json

import requests
from bsa import BeautifulSoup
from fake_useragent import UserAgent

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




def     UpperCamelCase						(	__lowercase						:			Optional[int]     ):
		'''simple docstring'''




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





class UpperCAmelCase						:


				'''simple docstring'''






				def __init__(						self		,     lowercase ):



						"""simple docstring"""





						A_		:    int         =				F'''https://www.instagram.com/{username}/'''
						A_		:    Dict         =				self.get_json()
				def   lowerCAmelCase_       (						self ):



						"""simple docstring"""





						A_		:    str         =				requests.get(self.url		,     headers=lowercase ).text
						A_		:    Dict         =				BeautifulSoup(lowercase		,     '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 ):



						"""simple docstring"""





						return F'''{self.__class__.__name__}(\'{self.username}\')'''
				def __str__(						self ):



						"""simple docstring"""





						return F'''{self.fullname} ({self.username}) is {self.biography}'''
				@property
				def   lowerCAmelCase_       (						self ):



						"""simple docstring"""





						return self.user_data["username"]
				@property
				def   lowerCAmelCase_       (						self ):



						"""simple docstring"""





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



						"""simple docstring"""





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



						"""simple docstring"""





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



						"""simple docstring"""





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



						"""simple docstring"""





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



						"""simple docstring"""





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



						"""simple docstring"""





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



						"""simple docstring"""





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



						"""simple docstring"""





						return self.user_data["is_verified"]







				@property
				def   lowerCAmelCase_       (						self ):



						"""simple docstring"""





						return self.user_data["is_private"]




def     UpperCamelCase						(	__lowercase						:			str = "github"     ):
		'''simple docstring'''




		import os

		if os.environ.get('CI'     ):
				return  # test failing on GitHub Actions
		A_		:    List[Any]         =				InstagramUser(__lowercase     )
		assert instagram_user.user_data
		assert isinstance(instagram_user.user_data						,__lowercase     )
		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()
	_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 = }""")







import darl  # noqa
import gym
import tqdm
from diffusers.experimental import ValueGuidedRLPipeline


_UpperCAmelCase            =		{
    """n_samples""": 64,
    """horizon""": 32,
    """num_inference_steps""": 20,
    """n_guide_steps""": 2,  # can set to 0 for faster sampling, does not use value network
    """scale_grad_by_std""": True,
    """scale""": 0.1,
    """eta""": 0.0,
    """t_grad_cutoff""": 2,
    """device""": """cpu""",
}


if __name__ == "__main__":
	_UpperCAmelCase            =		"""hopper-medium-v2"""
	_UpperCAmelCase            =		gym.make(env_name)

	_UpperCAmelCase            =		ValueGuidedRLPipeline.from_pretrained(
	    """bglick13/hopper-medium-v2-value-function-hor32""",
	    env=env,
	)

	env.seed(0)
	_UpperCAmelCase            =		env.reset()
	_UpperCAmelCase            =		0
	_UpperCAmelCase            =		0
	_UpperCAmelCase            =		1000
	_UpperCAmelCase            =		[obs.copy()]
	try:
		for t in tqdm.tqdm(range(T)):
			# call the policy
			_UpperCAmelCase            =		pipeline(obs, planning_horizon=32)

			# execute action in environment
			_UpperCAmelCase      ,_UpperCAmelCase      ,_UpperCAmelCase      ,_UpperCAmelCase            =		env.step(denorm_actions)
			_UpperCAmelCase            =		env.get_normalized_score(total_reward)

			# update return
			total_reward += reward
			total_score += score
			print(
			    F"""Step: {t}, Reward: {reward}, Total Reward: {total_reward}, Score: {score}, Total Score:"""
			    F""" {total_score}"""
			)

			# save observations for rendering
			rollout.append(next_observation.copy())

			_UpperCAmelCase            =		next_observation
	except KeyboardInterrupt:
		pass

	print(F"""Total reward: {total_reward}""")






