




from __future__ import annotations

import json

import requests
from bsa import BeautifulSoup
from fake_useragent import UserAgent

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







def 			_a   (		SCREAMING_SNAKE_CASE_							:       Tuple  ):
					__lowerCAmelCase            = script.contents[0]
					__lowerCAmelCase            = json.loads(data[data.find("{\"config\""  ) : -1]  )
					return info["entry_data"]["ProfilePage"][0]["graphql"]["user"]
class     a__					:






						def __init__(     self	,    _A    ):




											"""simple docstring"""



											__lowerCAmelCase            = f"""https://www.instagram.com/{username}/"""
											__lowerCAmelCase            = self.get_json()






						def        __SCREAMING_SNAKE_CASE(     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        __SCREAMING_SNAKE_CASE(     self    ):




											"""simple docstring"""



											return self.user_data["username"]






						@property
						def        __SCREAMING_SNAKE_CASE(     self    ):




											"""simple docstring"""



											return self.user_data["full_name"]






						@property
						def        __SCREAMING_SNAKE_CASE(     self    ):




											"""simple docstring"""



											return self.user_data["biography"]






						@property
						def        __SCREAMING_SNAKE_CASE(     self    ):




											"""simple docstring"""



											return self.user_data["business_email"]






						@property
						def        __SCREAMING_SNAKE_CASE(     self    ):




											"""simple docstring"""



											return self.user_data["external_url"]






						@property
						def        __SCREAMING_SNAKE_CASE(     self    ):




											"""simple docstring"""



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






						@property
						def        __SCREAMING_SNAKE_CASE(     self    ):




											"""simple docstring"""



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






						@property
						def        __SCREAMING_SNAKE_CASE(     self    ):




											"""simple docstring"""



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






						@property
						def        __SCREAMING_SNAKE_CASE(     self    ):




											"""simple docstring"""



											return self.user_data["profile_pic_url_hd"]






						@property
						def        __SCREAMING_SNAKE_CASE(     self    ):




											"""simple docstring"""



											return self.user_data["is_verified"]






						@property
						def        __SCREAMING_SNAKE_CASE(     self    ):




											"""simple docstring"""



											return self.user_data["is_private"]







def 			_a   (		SCREAMING_SNAKE_CASE_							:       str = "github"  ):
					import os

					if os.environ.get("CI"  ):
										return  # test failing on GitHub Actions
					__lowerCAmelCase            = InstagramUser(SCREAMING_SNAKE_CASE_  )
					assert instagram_user.user_data
					assert isinstance(instagram_user.user_data   ,   SCREAMING_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()
					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 = }''')










from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tf_available, is_torch_available


UpperCamelCase__					    =    {
    """configuration_ctrl""": ["""CTRL_PRETRAINED_CONFIG_ARCHIVE_MAP""", """CTRLConfig"""],
    """tokenization_ctrl""": ["""CTRLTokenizer"""],
}

try:
					if not is_torch_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					UpperCamelCase__					    =    [
					    """CTRL_PRETRAINED_MODEL_ARCHIVE_LIST""",
					    """CTRLForSequenceClassification""",
					    """CTRLLMHeadModel""",
					    """CTRLModel""",
					    """CTRLPreTrainedModel""",
					]

try:
					if not is_tf_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					UpperCamelCase__					    =    [
					    """TF_CTRL_PRETRAINED_MODEL_ARCHIVE_LIST""",
					    """TFCTRLForSequenceClassification""",
					    """TFCTRLLMHeadModel""",
					    """TFCTRLModel""",
					    """TFCTRLPreTrainedModel""",
					]


if TYPE_CHECKING:
					from .configuration_ctrl import CTRL_PRETRAINED_CONFIG_ARCHIVE_MAP, CTRLConfig
					from .tokenization_ctrl import CTRLTokenizer

					try:
										if not is_torch_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .modeling_ctrl import (
										    CTRL_PRETRAINED_MODEL_ARCHIVE_LIST,
										    CTRLForSequenceClassification,
										    CTRLLMHeadModel,
										    CTRLModel,
										    CTRLPreTrainedModel,
										)

					try:
										if not is_tf_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .modeling_tf_ctrl import (
										    TF_CTRL_PRETRAINED_MODEL_ARCHIVE_LIST,
										    TFCTRLForSequenceClassification,
										    TFCTRLLMHeadModel,
										    TFCTRLModel,
										    TFCTRLPreTrainedModel,
										)

else:
					import sys

					UpperCamelCase__					    =    _LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)




