





"""simple docstring"""


from __future__ import annotations

import json

import requests
from bsa import BeautifulSoup
from fake_useragent import UserAgent

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




def        lowercase__     (       lowercase_      )       ->		dict:




      """simple docstring"""

      _UpperCamelCase   :						List[Any]    =							script.contents[0]
      _UpperCamelCase   :						Any    =							json.loads(data[data.find("{\"config\""      ) : -1]      )
      return info["entry_data"]["ProfilePage"][0]["graphql"]["user"]



class   __SCREAMING_SNAKE_CASE     :







  '''simple docstring'''


  def __init__(		self :							Optional[int]       , __a :							Optional[Any]						)		->					Optional[Any]:
        _UpperCamelCase   :						List[str]    =							F'''https://www.instagram.com/{username}/'''
        _UpperCamelCase   :						int    =							self.get_json()

  def  __SCREAMING_SNAKE_CASE					(		self :							Tuple						)		->					dict:
        _UpperCamelCase   :						Optional[int]    =							requests.get(self.url       , headers=__a						).text
        _UpperCamelCase   :						str    =							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 :							Tuple						)		->					str:
        return F'''{self.__class__.__name__}(\'{self.username}\')'''

  def __str__(		self :							Tuple						)		->					str:
        return F'''{self.fullname} ({self.username}) is {self.biography}'''

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

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

  @property
  def  __SCREAMING_SNAKE_CASE					(		self :							Union[str, Any]						)		->					str:
        return self.user_data["biography"]

  @property
  def  __SCREAMING_SNAKE_CASE					(		self :							List[str]						)		->					str:
        return self.user_data["business_email"]

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

  @property
  def  __SCREAMING_SNAKE_CASE					(		self :							str						)		->					int:
        return self.user_data["edge_followed_by"]["count"]

  @property
  def  __SCREAMING_SNAKE_CASE					(		self :							List[str]						)		->					int:
        return self.user_data["edge_follow"]["count"]

  @property
  def  __SCREAMING_SNAKE_CASE					(		self :							List[Any]						)		->					int:
        return self.user_data["edge_owner_to_timeline_media"]["count"]

  @property
  def  __SCREAMING_SNAKE_CASE					(		self :							Optional[Any]						)		->					str:
        return self.user_data["profile_pic_url_hd"]

  @property
  def  __SCREAMING_SNAKE_CASE					(		self :							Tuple						)		->					bool:
        return self.user_data["is_verified"]


  @property
  def  __SCREAMING_SNAKE_CASE					(		self :							int						)		->					bool:
        return self.user_data["is_private"]





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




      """simple docstring"""

      import os

      if os.environ.get("CI"      ):
            return  # test failing on GitHub Actions
      _UpperCamelCase   :						str    =							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 > 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 collections import OrderedDict
from typing import Mapping

from packaging import version

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


lowerCamelCase__						= logging.get_logger(__name__)

lowerCamelCase__						= {
    "google/mobilenet_v1_1.0_224": "https://huggingface.co/google/mobilenet_v1_1.0_224/resolve/main/config.json",
    "google/mobilenet_v1_0.75_192": "https://huggingface.co/google/mobilenet_v1_0.75_192/resolve/main/config.json",
    # See all MobileNetV1 models at https://huggingface.co/models?filter=mobilenet_v1
}



class   __SCREAMING_SNAKE_CASE     (    _UpperCamelCase ):







  '''simple docstring'''


  SCREAMING_SNAKE_CASE__				:int						  =       "mobilenet_v1"

  def __init__(		self :							Optional[int]       , __a :							List[str]=3       , __a :							Union[str, Any]=224       , __a :							Tuple=1.0       , __a :							List[Any]=8       , __a :							Union[str, Any]="relu6"       , __a :							Dict=True       , __a :							Tuple=0.9_99       , __a :							Dict=0.02       , __a :							Any=0.0_01       , **__a :							Any       , )		->					int:
        super().__init__(**__a						)

        if depth_multiplier <= 0:
              raise ValueError("depth_multiplier must be greater than zero."						)

        _UpperCamelCase   :						Any    =							num_channels
        _UpperCamelCase   :						Optional[Any]    =							image_size
        _UpperCamelCase   :						Optional[Any]    =							depth_multiplier
        _UpperCamelCase   :						int    =							min_depth
        _UpperCamelCase   :						List[str]    =							hidden_act
        _UpperCamelCase   :						Union[str, Any]    =							tf_padding
        _UpperCamelCase   :						int    =							classifier_dropout_prob
        _UpperCamelCase   :						Optional[int]    =							initializer_range
        _UpperCamelCase   :						Union[str, Any]    =							layer_norm_eps





class   __SCREAMING_SNAKE_CASE     (    _UpperCamelCase ):







  '''simple docstring'''


  SCREAMING_SNAKE_CASE__				:List[Any]						  =       version.parse("1.11" )

  @property
  def  __SCREAMING_SNAKE_CASE					(		self :							List[str]						)		->					Mapping[str, Mapping[int, str]]:
        return OrderedDict([("pixel_values", {0: "batch"})]						)

  @property
  def  __SCREAMING_SNAKE_CASE					(		self :							Optional[int]						)		->					Mapping[str, Mapping[int, str]]:
        if self.task == "image-classification":
              return OrderedDict([("logits", {0: "batch"})]						)
        else:
              return OrderedDict([("last_hidden_state", {0: "batch"}), ("pooler_output", {0: "batch"})]						)


  @property
  def  __SCREAMING_SNAKE_CASE					(		self :							Tuple						)		->					float:
        return 1e-4
