"""simple docstring"""





from __future__ import annotations

import json

import requests
from bsa import BeautifulSoup
from fake_useragent import UserAgent

lowerCAmelCase_     =	{'''UserAgent''': UserAgent().random}



def      lowerCamelCase_(__SCREAMING_SNAKE_CASE  )->    dict:
							_SCREAMING_SNAKE_CASE		:						str			  =    script.contents[0]
							_SCREAMING_SNAKE_CASE		:						int			  =    json.loads(data[data.find("""{\"config\""""  ) : -1]  )
							return info["entry_data"]["ProfilePage"][0]["graphql"]["user"]




class  _snake_case		:







				"""simple docstring"""






				def __init__(      self							:							Any      ,    _A							:							int):



											"""simple docstring"""







											_SCREAMING_SNAKE_CASE		:						Any			  =    f"""https://www.instagram.com/{username}/"""
											_SCREAMING_SNAKE_CASE		:						Union[str, Any]			  =    self.get_json()





				def 		_lowerCAmelCase		(      self							:							List[Any]):



											"""simple docstring"""







											_SCREAMING_SNAKE_CASE		:						int			  =    requests.get(self.url      ,    headers=_A).text
											_SCREAMING_SNAKE_CASE		:						Optional[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							:							str):



											"""simple docstring"""







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





				def __str__(      self							:							List[str]):



											"""simple docstring"""







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





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



											"""simple docstring"""







											return self.user_data["username"]





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



											"""simple docstring"""







											return self.user_data["full_name"]





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



											"""simple docstring"""







											return self.user_data["biography"]





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



											"""simple docstring"""







											return self.user_data["business_email"]





				@property
				def 		_lowerCAmelCase		(      self							:							List[str]):



											"""simple docstring"""







											return self.user_data["external_url"]





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



											"""simple docstring"""







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





				@property
				def 		_lowerCAmelCase		(      self							:							int):



											"""simple docstring"""







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





				@property
				def 		_lowerCAmelCase		(      self							:							int):



											"""simple docstring"""







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





				@property
				def 		_lowerCAmelCase		(      self							:							Dict):



											"""simple docstring"""







											return self.user_data["profile_pic_url_hd"]





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



											"""simple docstring"""







											return self.user_data["is_verified"]





				@property
				def 		_lowerCAmelCase		(      self							:							Dict):



											"""simple docstring"""







											return self.user_data["is_private"]



def      lowerCamelCase_(__SCREAMING_SNAKE_CASE = "github"  )->    None:
							import os

							if os.environ.get("""CI"""  ):
														return  # test failing on GitHub Actions
							_SCREAMING_SNAKE_CASE		:						Optional[int]			  =    InstagramUser(__SCREAMING_SNAKE_CASE  )
							assert instagram_user.user_data
							assert isinstance(instagram_user.user_data     ,	__SCREAMING_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 > 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()
			lowerCAmelCase_     =	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"""





from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_flax_available,
    is_tf_available,
    is_torch_available,
)


lowerCAmelCase_     =	{'''configuration_unispeech''': ['''UNISPEECH_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''UniSpeechConfig''']}

try:
			if not is_torch_available():
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			pass
else:
			lowerCAmelCase_     =	[
			    '''UNISPEECH_PRETRAINED_MODEL_ARCHIVE_LIST''',
			    '''UniSpeechForCTC''',
			    '''UniSpeechForPreTraining''',
			    '''UniSpeechForSequenceClassification''',
			    '''UniSpeechModel''',
			    '''UniSpeechPreTrainedModel''',
			]

if TYPE_CHECKING:
			from .configuration_unispeech import UNISPEECH_PRETRAINED_CONFIG_ARCHIVE_MAP, UniSpeechConfig

			try:
						if not is_torch_available():
									raise OptionalDependencyNotAvailable()
			except OptionalDependencyNotAvailable:
						pass
			else:
						from .modeling_unispeech import (
						    UNISPEECH_PRETRAINED_MODEL_ARCHIVE_LIST,
						    UniSpeechForCTC,
						    UniSpeechForPreTraining,
						    UniSpeechForSequenceClassification,
						    UniSpeechModel,
						    UniSpeechPreTrainedModel,
						)

else:
			import sys

			lowerCAmelCase_     =	_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)


