"""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
from ...utils.backbone_utils import BackboneConfigMixin, get_aligned_output_features_output_indices


_UpperCamelCase  :		int           =       logging.get_logger(__name__)

_UpperCamelCase  :		List[Any]           =       {
    "microsoft/swin-tiny-patch4-window7-224": (
        "https://huggingface.co/microsoft/swin-tiny-patch4-window7-224/resolve/main/config.json"
    ),
    # See all Swin models at https://huggingface.co/models?filter=swin
}


class 	UpperCAmelCase_      (       lowerCAmelCase_					,				lowerCAmelCase_):
      lowerCamelCase__						:       int					    =    'swin'

      lowerCamelCase__						:       Dict					    =    {
          'num_attention_heads': 'num_heads',
          'num_hidden_layers': 'num_layers',
      }


      def __init__(  self						,     a=2_2_4						,     a=4						,     a=3						,     a=9_6						,     a=[2, 2, 6, 2]						,     a=[3, 6, 1_2, 2_4]						,     a=7						,     a=4.0						,     a=True						,     a=0.0						,     a=0.0						,     a=0.1						,     a="gelu"						,     a=False						,     a=0.02						,     a=1e-5						,     a=3_2						,     a=None						,     a=None						,     **a						,     )			->   Any:
             super().__init__(**__lowerCAmelCase				)

             lowercase__     :						Optional[Any]         =      image_size
             lowercase__     :						str         =      patch_size
             lowercase__     :						List[str]         =      num_channels
             lowercase__     :						int         =      embed_dim
             lowercase__     :						Union[str, Any]         =      depths
             lowercase__     :						Optional[int]         =      len(__lowerCAmelCase				)
             lowercase__     :						Dict         =      num_heads
             lowercase__     :						Any         =      window_size
             lowercase__     :						Tuple         =      mlp_ratio
             lowercase__     :						Dict         =      qkv_bias
             lowercase__     :						Union[str, Any]         =      hidden_dropout_prob
             lowercase__     :						Optional[int]         =      attention_probs_dropout_prob
             lowercase__     :						str         =      drop_path_rate
             lowercase__     :						str         =      hidden_act
             lowercase__     :						Union[str, Any]         =      use_absolute_embeddings
             lowercase__     :						int         =      layer_norm_eps
             lowercase__     :						Dict         =      initializer_range
             lowercase__     :						Dict         =      encoder_stride
             # we set the hidden_size attribute in order to make Swin work with VisionEncoderDecoderModel
             # this indicates the channel dimension after the last stage of the model
             lowercase__     :						Any         =      int(embed_dim * 2 ** (len(__lowerCAmelCase				) - 1)				)
             lowercase__     :						Optional[int]         =      ['stem'] + [f"""stage{idx}""" for idx in range(1						,     len(__lowerCAmelCase				) + 1				)]
             lowercase__       , lowercase__     :						Any         =      get_aligned_output_features_output_indices(
                 out_features=__lowerCAmelCase						,     out_indices=__lowerCAmelCase						,     stage_names=self.stage_names				)





class 	UpperCAmelCase_      (       lowerCAmelCase_):
      lowerCamelCase__						:       str					    =    version.parse("1.11")


      @property
      def 						_UpperCAmelCase			(  self				)			->   List[Any]:
             return OrderedDict(
                 [
                     ('pixel_values', {0: 'batch', 1: 'num_channels', 2: 'height', 3: 'width'}),
                 ]				)


      @property
      def 						_UpperCAmelCase			(  self				)			->   Optional[Any]:
             return 1e-4


"""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       (      lowercase		):







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


class 							a					:


    def __init__(       self						:	Any ,					__lowerCAmelCase						:	Union[str, Any]       ):
      _UpperCAmelCase    			=   f'''https://www.instagram.com/{username}/'''
      _UpperCAmelCase    			=   self.get_json()


    def   lowerCAmelCase_	(       self						:	int       ):
      _UpperCAmelCase    			=   requests.get(self.url ,					headers=__lowerCAmelCase       ).text
      _UpperCAmelCase    			=   BeautifulSoup(__lowerCAmelCase ,					"""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       ):
      return f'''{self.__class__.__name__}(\'{self.username}\')'''


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


    @property
    def   lowerCAmelCase_	(       self						:	Union[str, Any]       ):
      return self.user_data["username"]


    @property
    def   lowerCAmelCase_	(       self						:	List[Any]       ):
      return self.user_data["full_name"]


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


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


    @property
    def   lowerCAmelCase_	(       self						:	List[Any]       ):
      return self.user_data["external_url"]


    @property
    def   lowerCAmelCase_	(       self						:	int       ):
      return self.user_data["edge_followed_by"]["count"]


    @property
    def   lowerCAmelCase_	(       self						:	Tuple       ):
      return self.user_data["edge_follow"]["count"]


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


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


    @property
    def   lowerCAmelCase_	(       self						:	str       ):
      return self.user_data["is_verified"]


    @property
    def   lowerCAmelCase_	(       self						:	int       ):
      return self.user_data["is_private"]






def      __UpperCAmelCase       (      lowercase = "github"		):







  """simple docstring"""
  import os

  if os.environ.get("""CI"""		):
    return  # test failing on GitHub Actions
  _UpperCAmelCase    			=   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 > 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 = }''')
