


from __future__ import annotations

import json

import requests
from bsa import BeautifulSoup
from fake_useragent import UserAgent

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




def     __SCREAMING_SNAKE_CASE							(       lowercase_      )		->     dict:




						'''simple docstring'''







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




class 							lowerCamelCase   :


	def __init__(    self				,     lowercase__):
							__UpperCAmelCase			:							Optional[Any]	    =	F"https://www.instagram.com/{username}/"
							__UpperCAmelCase			:							Dict	    =	self.get_json()


	def  A(    self):
							__UpperCAmelCase			:							Optional[int]	    =	requests.get(self.url				,     headers=__UpperCAmelCase).text
							__UpperCAmelCase			:							Union[str, Any]	    =	BeautifulSoup(__UpperCAmelCase				,     '''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  A(    self):
							return self.user_data["username"]


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


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


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


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


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


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


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


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


	@property
	def  A(    self):
							return self.user_data["is_verified"]


	@property
	def  A(    self):
							return self.user_data["is_private"]






def     __SCREAMING_SNAKE_CASE							(       lowercase_ = "github"      )		->     None:




						'''simple docstring'''







						import os

						if os.environ.get('''CI'''      ):
												return  # test failing on GitHub Actions
						__UpperCAmelCase			:							Dict	    =	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 > 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()
				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_torch_available


__A											=						{"""configuration_sew""": ["""SEW_PRETRAINED_CONFIG_ARCHIVE_MAP""", """SEWConfig"""]}

try:
  if not is_torch_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  __A											=						[
      """SEW_PRETRAINED_MODEL_ARCHIVE_LIST""",
      """SEWForCTC""",
      """SEWForSequenceClassification""",
      """SEWModel""",
      """SEWPreTrainedModel""",
  ]

if TYPE_CHECKING:
  from .configuration_sew import SEW_PRETRAINED_CONFIG_ARCHIVE_MAP, SEWConfig

  try:
    if not is_torch_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .modeling_sew import (
        SEW_PRETRAINED_MODEL_ARCHIVE_LIST,
        SEWForCTC,
        SEWForSequenceClassification,
        SEWModel,
        SEWPreTrainedModel,
    )


else:
  import sys

  __A											=						_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)
