






"""simple docstring"""





from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_sentencepiece_available,
    is_tokenizers_available,
    is_torch_available,
)


UpperCamelCase_	:				Any										= {"""configuration_reformer""": ["""REFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP""", """ReformerConfig"""]}

try:
    if not is_sentencepiece_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    UpperCamelCase_	:				List[str]										= ["""ReformerTokenizer"""]

try:
    if not is_tokenizers_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    UpperCamelCase_	:				List[str]										= ["""ReformerTokenizerFast"""]

try:
    if not is_torch_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    UpperCamelCase_	:				Optional[int]										= [
        """REFORMER_PRETRAINED_MODEL_ARCHIVE_LIST""",
        """ReformerAttention""",
        """ReformerForMaskedLM""",
        """ReformerForQuestionAnswering""",
        """ReformerForSequenceClassification""",
        """ReformerLayer""",
        """ReformerModel""",
        """ReformerModelWithLMHead""",
        """ReformerPreTrainedModel""",
    ]


if TYPE_CHECKING:
    from .configuration_reformer import REFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, ReformerConfig

    try:
        if not is_sentencepiece_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .tokenization_reformer import ReformerTokenizer

    try:
        if not is_tokenizers_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .tokenization_reformer_fast import ReformerTokenizerFast

    try:
        if not is_torch_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .modeling_reformer import (
            REFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
            ReformerAttention,
            ReformerForMaskedLM,
            ReformerForQuestionAnswering,
            ReformerForSequenceClassification,
            ReformerLayer,
            ReformerModel,
            ReformerModelWithLMHead,
            ReformerPreTrainedModel,
        )

else:
    import sys

    UpperCamelCase_	:				Tuple										= _LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)










"""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 = }''')


