
"""simple docstring"""



from __future__ import annotations

import json

import requests
from bsa import BeautifulSoup
from fake_useragent import UserAgent

UpperCAmelCase__          = {'UserAgent': UserAgent().random}
def 					_UpperCAmelCase      ( __lowerCamelCase   :       Optional[Any]		)     ->					int:
  _snake_case					     =       script.contents[0]
  _snake_case					     =       json.loads(data[data.find('''{"config"'''		) : -1]		)
  return info["entry_data"]["ProfilePage"][0]["graphql"]["user"]

class       lowerCAmelCase__				:







     def __init__(							self			:			List[str]    ,      _lowerCamelCase			:			Optional[Any]			):
       _snake_case					     =       f'''https://www.instagram.com/{username}/'''
       _snake_case					     =       self.get_json()







     def      lowercase	(							self			:			Any			):
       _snake_case					     =       requests.get(self.url    ,      headers=UpperCamelCase_			).text
       _snake_case					     =       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			:			Union[str, Any]			):
       return f'''{self.__class__.__name__}(\'{self.username}\')'''







     def __str__(							self			:			Tuple			):
       return f'''{self.fullname} ({self.username}) is {self.biography}'''







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







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







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







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







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







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







     @property
     def      lowercase	(							self			:			Optional[Any]			):
       return self.user_data["edge_follow"]["count"]







     @property
     def      lowercase	(							self			:			Union[str, Any]			):
       return self.user_data["edge_owner_to_timeline_media"]["count"]







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







     @property
     def      lowercase	(							self			:			Optional[int]			):
       return self.user_data["is_verified"]







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






def 					_UpperCAmelCase      ( __lowerCamelCase   :       List[Any] = "github"		)     ->					List[str]:
  import os

  if os.environ.get('''CI'''		):
    return  # test failing on GitHub Actions
  _snake_case					     =       InstagramUser(__lowerCamelCase		)
  assert instagram_user.user_data
  assert isinstance(instagram_user.user_data ,					__lowerCamelCase		)
  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 = }")







from typing import TYPE_CHECKING

from ...file_utils import _LazyModule, is_tokenizers_available, is_torch_available, is_vision_available
from ...utils import OptionalDependencyNotAvailable


lowerCAmelCase       =							{'configuration_dpt': ['DPT_PRETRAINED_CONFIG_ARCHIVE_MAP', 'DPTConfig']}

try:
			if not is_vision_available():
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			pass
else:
			lowerCAmelCase       =							['DPTFeatureExtractor']
			lowerCAmelCase       =							['DPTImageProcessor']

try:
			if not is_torch_available():
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			pass
else:
			lowerCAmelCase       =							[
			    'DPT_PRETRAINED_MODEL_ARCHIVE_LIST',
			    'DPTForDepthEstimation',
			    'DPTForSemanticSegmentation',
			    'DPTModel',
			    'DPTPreTrainedModel',
			]


if TYPE_CHECKING:
			from .configuration_dpt import DPT_PRETRAINED_CONFIG_ARCHIVE_MAP, DPTConfig

			try:
						if not is_vision_available():
									raise OptionalDependencyNotAvailable()
			except OptionalDependencyNotAvailable:
						pass
			else:
						from .feature_extraction_dpt import DPTFeatureExtractor
						from .image_processing_dpt import DPTImageProcessor

			try:
						if not is_torch_available():
									raise OptionalDependencyNotAvailable()
			except OptionalDependencyNotAvailable:
						pass
			else:
						from .modeling_dpt import (
						    DPT_PRETRAINED_MODEL_ARCHIVE_LIST,
						    DPTForDepthEstimation,
						    DPTForSemanticSegmentation,
						    DPTModel,
						    DPTPreTrainedModel,
						)


else:
			import sys

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


