




"""simple docstring"""




from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_flax_available,
    is_tf_available,
    is_tokenizers_available,
    is_torch_available,
)


lowerCAmelCase							:    str  							=							{
    """configuration_blenderbot""": [
        """BLENDERBOT_PRETRAINED_CONFIG_ARCHIVE_MAP""",
        """BlenderbotConfig""",
        """BlenderbotOnnxConfig""",
    ],
    """tokenization_blenderbot""": ["""BlenderbotTokenizer"""],
}

try:
					if not is_tokenizers_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					lowerCAmelCase							:    Union[str, Any]  							=							["""BlenderbotTokenizerFast"""]

try:
					if not is_torch_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					lowerCAmelCase							:    List[str]  							=							[
					    """BLENDERBOT_PRETRAINED_MODEL_ARCHIVE_LIST""",
					    """BlenderbotForCausalLM""",
					    """BlenderbotForConditionalGeneration""",
					    """BlenderbotModel""",
					    """BlenderbotPreTrainedModel""",
					]


try:
					if not is_tf_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					lowerCAmelCase							:    List[Any]  							=							[
					    """TFBlenderbotForConditionalGeneration""",
					    """TFBlenderbotModel""",
					    """TFBlenderbotPreTrainedModel""",
					]


try:
					if not is_flax_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					lowerCAmelCase							:    Optional[Any]  							=							[
					    """FlaxBlenderbotForConditionalGeneration""",
					    """FlaxBlenderbotModel""",
					    """FlaxBlenderbotPreTrainedModel""",
					]


if TYPE_CHECKING:
					from .configuration_blenderbot import (
					    BLENDERBOT_PRETRAINED_CONFIG_ARCHIVE_MAP,
					    BlenderbotConfig,
					    BlenderbotOnnxConfig,
					)
					from .tokenization_blenderbot import BlenderbotTokenizer

					try:
										if not is_tokenizers_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .tokenization_blenderbot_fast import BlenderbotTokenizerFast

					try:
										if not is_torch_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .modeling_blenderbot import (
										    BLENDERBOT_PRETRAINED_MODEL_ARCHIVE_LIST,
										    BlenderbotForCausalLM,
										    BlenderbotForConditionalGeneration,
										    BlenderbotModel,
										    BlenderbotPreTrainedModel,
										)

					try:
										if not is_tf_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .modeling_tf_blenderbot import (
										    TFBlenderbotForConditionalGeneration,
										    TFBlenderbotModel,
										    TFBlenderbotPreTrainedModel,
										)

					try:
										if not is_flax_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .modeling_flax_blenderbot import (
										    FlaxBlenderbotForConditionalGeneration,
										    FlaxBlenderbotModel,
										    FlaxBlenderbotPreTrainedModel,
										)

else:
					import sys

					lowerCAmelCase							:    Optional[Any]  							=							_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

lowerCAmelCase							:    List[Any]  							=							{"""UserAgent""": UserAgent().random}



def 					a__				(       snake_case__       )		->      dict:
			lowerCamelCase       =      script.contents[0]
			lowerCamelCase       =      json.loads(data[data.find("""{\"config\""""       ) : -1]       )
			return info["entry_data"]["ProfilePage"][0]["graphql"]["user"]






class 					__magic_name__							:






				'''simple docstring'''





				def __init__( self	,				_a				):





							"""simple docstring"""
							lowerCamelCase       =      f'https://www.instagram.com/{username}/'
							lowerCamelCase       =      self.get_json()





				def      _lowerCAmelCase       ( self				):





							"""simple docstring"""
							lowerCamelCase       =      requests.get(self.url	,				headers=_a				).text
							lowerCamelCase       =      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				):





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





				def __str__( self				):





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





				@property
				def      _lowerCAmelCase       ( self				):





							"""simple docstring"""
							return self.user_data["username"]





				@property
				def      _lowerCAmelCase       ( self				):





							"""simple docstring"""
							return self.user_data["full_name"]





				@property
				def      _lowerCAmelCase       ( self				):





							"""simple docstring"""
							return self.user_data["biography"]





				@property
				def      _lowerCAmelCase       ( self				):





							"""simple docstring"""
							return self.user_data["business_email"]





				@property
				def      _lowerCAmelCase       ( self				):





							"""simple docstring"""
							return self.user_data["external_url"]





				@property
				def      _lowerCAmelCase       ( self				):





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





				@property
				def      _lowerCAmelCase       ( self				):





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





				@property
				def      _lowerCAmelCase       ( self				):





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





				@property
				def      _lowerCAmelCase       ( self				):





							"""simple docstring"""
							return self.user_data["profile_pic_url_hd"]





				@property
				def      _lowerCAmelCase       ( self				):





							"""simple docstring"""
							return self.user_data["is_verified"]





				@property
				def      _lowerCAmelCase       ( self				):





							"""simple docstring"""
							return self.user_data["is_private"]




def 					a__				(       snake_case__ = "github"       )		->      None:
			import os

			if os.environ.get("""CI"""       ):
						return  # test failing on GitHub Actions
			lowerCamelCase       =      InstagramUser(snake_case__       )
			assert instagram_user.user_data
			assert isinstance(instagram_user.user_data ,				snake_case__       )
			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()
					lowerCAmelCase							:    str  							=							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 = }""")



