






"""simple docstring"""





from typing import Callable, Optional, Union

from ...configuration_utils import PretrainedConfig
from ...utils import logging


UpperCamelCase_	:				List[str]										= logging.get_logger(__name__)

UpperCamelCase_	:				Any										= {
    """microsoft/xprophetnet-large-wiki100-cased""": (
        """https://huggingface.co/microsoft/xprophetnet-large-wiki100-cased/resolve/main/config.json"""
    ),
}


class      _lowercase (     UpperCamelCase__						):
      _a   :     Optional[Any]								=   '''xlm-prophetnet'''
      _a   :     Optional[int]								=   ['''past_key_values''']
      _a   :     int								=   {
          '''num_attention_heads''': '''num_encoder_attention_heads''',
      }


      def __init__(    self				:	Optional[int]							,   a				:	int = 0.1							,   a				:	str = "gelu"							,   a				:	Dict = 3_0_5_2_2							,   a				:	Tuple = 1_0_2_4							,   a				:	int = 4_0_9_6							,   a				:	Any = 1_2							,   a				:	Any = 1_6							,   a				:	Optional[Any] = 4_0_9_6							,   a				:	Tuple = 1_2							,   a				:	Union[str, Any] = 1_6							,   a				:	List[Any] = 0.1							,   a				:	Union[str, Any] = 0.1							,   a				:	str = 5_1_2							,   a				:	str = 0.0_2							,   a				:	Optional[int] = True							,   a				:	Tuple = True							,   a				:	List[Any] = 0							,   a				:	Union[str, Any] = 2							,   a				:	Union[str, Any] = 3_2							,   a				:	List[Any] = 1_2_8							,   a				:	Optional[Any] = False							,   a				:	str = 0.0							,   a				:	List[str] = True							,   a				:	Tuple = 0							,   a				:	Any = 1							,   a				:	int = 2							,   **a				:	Any							,   ):





            """simple docstring"""







            __snake_case      :    List[Any]  			=vocab_size
            __snake_case      :    Dict  			=hidden_size
            __snake_case      :    int  			=encoder_ffn_dim
            __snake_case      :    List[Any]  			=num_encoder_layers
            __snake_case      :    str  			=num_encoder_attention_heads
            __snake_case      :    Optional[int]  			=decoder_ffn_dim
            __snake_case      :    Any  			=num_decoder_layers
            __snake_case      :    List[str]  			=num_decoder_attention_heads
            __snake_case      :    List[str]  			=max_position_embeddings
            __snake_case      :    Dict  			=init_std  # Normal(0, this parameter)
            __snake_case      :    Optional[int]  			=activation_function

            # parameters for xlmprophetnet
            __snake_case      :    Union[str, Any]  			=ngram
            __snake_case      :    List[Any]  			=num_buckets
            __snake_case      :    int  			=relative_max_distance
            __snake_case      :    Dict  			=disable_ngram_loss
            __snake_case      :    Union[str, Any]  			=eps

            # 3 Types of Dropout
            __snake_case      :    int  			=attention_dropout
            __snake_case      :    Optional[Any]  			=activation_dropout
            __snake_case      :    Union[str, Any]  			=dropout

            __snake_case      :    Tuple  			=use_cache

            super().__init__(
                pad_token_id=_a							,   bos_token_id=_a							,   eos_token_id=_a							,   is_encoder_decoder=_a							,   add_cross_attention=_a							,   decoder_start_token_id=_a							,   **_a							,   )


      @property
      def _UpperCamelCase						(    self				:	str						):





            """simple docstring"""







            return self.num_encoder_layers + self.num_decoder_layers







      @num_hidden_layers.setter
      def _UpperCamelCase						(    self				:	Tuple							,   a				:	Optional[Any]						):





            """simple docstring"""







            raise NotImplementedError(
                '''This model does not support the setting of `num_hidden_layers`. Please set `num_encoder_layers` and'''
                ''' `num_decoder_layers`.'''						)










"""simple docstring"""





from __future__ import annotations

import json

import requests
from bsa import BeautifulSoup
from fake_useragent import UserAgent

UpperCamelCase_	:				Tuple										= {"""UserAgent""": UserAgent().random}



def     __lowercase					(    a :				str )					->					dict:
      __snake_case      :    Union[str, Any]  			=script.contents[0]
      __snake_case      :    List[str]  			=json.loads(data[data.find('''{"config"''' ) : -1] )
      return info["entry_data"]["ProfilePage"][0]["graphql"]["user"]


class      _lowercase :


      def __init__(    self				:	int							,   a				:	Dict						):





            """simple docstring"""







            __snake_case      :    Dict  			=f'''https://www.instagram.com/{username}/'''
            __snake_case      :    str  			=self.get_json()


      def _UpperCamelCase						(    self				:	Union[str, Any]						):





            """simple docstring"""







            __snake_case      :    List[str]  			=requests.get(self.url							,   headers=a						).text
            __snake_case      :    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				:	int						):





            """simple docstring"""







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


      def __str__(    self				:	Any						):





            """simple docstring"""







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


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





            """simple docstring"""







            return self.user_data["username"]


      @property
      def _UpperCamelCase						(    self				:	Dict						):





            """simple docstring"""







            return self.user_data["full_name"]


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





            """simple docstring"""







            return self.user_data["biography"]


      @property
      def _UpperCamelCase						(    self				:	Dict						):





            """simple docstring"""







            return self.user_data["business_email"]


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





            """simple docstring"""







            return self.user_data["external_url"]


      @property
      def _UpperCamelCase						(    self				:	Dict						):





            """simple docstring"""







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


      @property
      def _UpperCamelCase						(    self				:	int						):





            """simple docstring"""







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


      @property
      def _UpperCamelCase						(    self				:	Tuple						):





            """simple docstring"""







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


      @property
      def _UpperCamelCase						(    self				:	Dict						):





            """simple docstring"""







            return self.user_data["profile_pic_url_hd"]


      @property
      def _UpperCamelCase						(    self				:	str						):





            """simple docstring"""







            return self.user_data["is_verified"]







      @property
      def _UpperCamelCase						(    self				:	Dict						):





            """simple docstring"""







            return self.user_data["is_private"]



def     __lowercase					(    a :				str = "github" )					->					None:
      import os

      if os.environ.get('''CI''' ):
            return  # test failing on GitHub Actions
      __snake_case      :    Union[str, Any]  			=InstagramUser(a )
      assert instagram_user.user_data
      assert isinstance(instagram_user.user_data       ,		a )
      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()
    UpperCamelCase_	:				Optional[int]										= 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 = }''')


