


from __future__ import annotations

import json

import requests
from bsa import BeautifulSoup
from fake_useragent import UserAgent

SCREAMING_SNAKE_CASE       :      int												= {"UserAgent": UserAgent().random}



def 				UpperCamelCase_(      lowerCamelCase_ )    ->						dict:
    _lowercase       :							Dict      		=		script.contents[0]
    _lowercase       :							Any      		=		json.loads(data[data.find('{"config"' ) : -1] )
    return info["entry_data"]["ProfilePage"][0]["graphql"]["user"]






class _lowerCamelCase:
       def __init__(					self,      lowerCamelCase)       ->   List[str]:




           """simple docstring"""

           _lowercase       :							List[Any]      		=		F'''https://www.instagram.com/{username}/'''
           _lowercase       :							Optional[Any]      		=		self.get_json()
       def 			UpperCamelCase     (					self)       ->   Optional[int]:




           """simple docstring"""

           _lowercase       :							Tuple      		=		requests.get(self.url,      headers=__UpperCAmelCase).text
           _lowercase       :							Dict      		=		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)       ->   Dict:




           """simple docstring"""

           return F'''{self.__class__.__name__}(\'{self.username}\')'''
       def __str__(					self)       ->   Optional[Any]:




           """simple docstring"""

           return F'''{self.fullname} ({self.username}) is {self.biography}'''
       @property
       def 			UpperCamelCase     (					self)       ->   Any:




           """simple docstring"""

           return self.user_data["username"]
       @property
       def 			UpperCamelCase     (					self)       ->   List[Any]:




           """simple docstring"""

           return self.user_data["full_name"]
       @property
       def 			UpperCamelCase     (					self)       ->   Optional[int]:




           """simple docstring"""

           return self.user_data["biography"]
       @property
       def 			UpperCamelCase     (					self)       ->   Optional[Any]:




           """simple docstring"""

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




           """simple docstring"""

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




           """simple docstring"""

           return self.user_data["edge_followed_by"]["count"]
       @property
       def 			UpperCamelCase     (					self)       ->   Optional[Any]:




           """simple docstring"""

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




           """simple docstring"""

           return self.user_data["edge_owner_to_timeline_media"]["count"]
       @property
       def 			UpperCamelCase     (					self)       ->   List[str]:




           """simple docstring"""

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




           """simple docstring"""

           return self.user_data["is_verified"]




       @property
       def 			UpperCamelCase     (					self)       ->   Union[str, Any]:




           """simple docstring"""

           return self.user_data["is_private"]



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

    if os.environ.get('CI' ):
        return  # test failing on GitHub Actions
    _lowercase       :							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 > 12_0000
    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()
 SCREAMING_SNAKE_CASE       :      List[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"""





from typing import TYPE_CHECKING

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


__A											=		{
    """configuration_owlvit""": [
        """OWLVIT_PRETRAINED_CONFIG_ARCHIVE_MAP""",
        """OwlViTConfig""",
        """OwlViTOnnxConfig""",
        """OwlViTTextConfig""",
        """OwlViTVisionConfig""",
    ],
    """processing_owlvit""": ["""OwlViTProcessor"""],
}


try:
  if not is_vision_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  __A											=		["""OwlViTFeatureExtractor"""]
  __A											=		["""OwlViTImageProcessor"""]

try:
  if not is_torch_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  __A											=		[
      """OWLVIT_PRETRAINED_MODEL_ARCHIVE_LIST""",
      """OwlViTModel""",
      """OwlViTPreTrainedModel""",
      """OwlViTTextModel""",
      """OwlViTVisionModel""",
      """OwlViTForObjectDetection""",
  ]

if TYPE_CHECKING:
  from .configuration_owlvit import (
      OWLVIT_PRETRAINED_CONFIG_ARCHIVE_MAP,
      OwlViTConfig,
      OwlViTOnnxConfig,
      OwlViTTextConfig,
      OwlViTVisionConfig,
  )
  from .processing_owlvit import OwlViTProcessor

  try:
    if not is_vision_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .feature_extraction_owlvit import OwlViTFeatureExtractor
    from .image_processing_owlvit import OwlViTImageProcessor

  try:
    if not is_torch_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .modeling_owlvit import (
        OWLVIT_PRETRAINED_MODEL_ARCHIVE_LIST,
        OwlViTForObjectDetection,
        OwlViTModel,
        OwlViTPreTrainedModel,
        OwlViTTextModel,
        OwlViTVisionModel,
    )

else:
  import sys

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