



"""simple docstring"""






from __future__ import annotations

import json

import requests
from bsa import BeautifulSoup
from fake_useragent import UserAgent

__snake_case							:   int      =    {'UserAgent': UserAgent().random}


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



class 			A__   :




	'''simple docstring'''





	def __init__(     self:		List[str]       ,			_SCREAMING_SNAKE_CASE:		Optional[int])				->       Optional[int]:

				"""simple docstring"""

				__lowerCAmelCase      :  Optional[Any]												=       F"""https://www.instagram.com/{username}/"""
				__lowerCAmelCase      :  Optional[Any]												=       self.get_json()

	def 							_SCREAMING_SNAKE_CASE   (     self:		List[Any])				->       dict:

				"""simple docstring"""

				__lowerCAmelCase      :  Union[str, Any]												=       requests.get(self.url       ,			headers=_SCREAMING_SNAKE_CASE).text
				__lowerCAmelCase      :  Any												=       BeautifulSoup(_SCREAMING_SNAKE_CASE       ,			"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:		List[Any])				->       str:

				"""simple docstring"""

				return F"""{self.__class__.__name__}('{self.username}')"""

	def __str__(     self:		Dict)				->       str:

				"""simple docstring"""

				return F"""{self.fullname} ({self.username}) is {self.biography}"""

	@property
	def 							_SCREAMING_SNAKE_CASE   (     self:		Any)				->       str:

				"""simple docstring"""

				return self.user_data["username"]

	@property
	def 							_SCREAMING_SNAKE_CASE   (     self:		Tuple)				->       str:

				"""simple docstring"""

				return self.user_data["full_name"]

	@property
	def 							_SCREAMING_SNAKE_CASE   (     self:		int)				->       str:

				"""simple docstring"""

				return self.user_data["biography"]

	@property
	def 							_SCREAMING_SNAKE_CASE   (     self:		Optional[Any])				->       str:

				"""simple docstring"""

				return self.user_data["business_email"]

	@property
	def 							_SCREAMING_SNAKE_CASE   (     self:		int)				->       str:

				"""simple docstring"""

				return self.user_data["external_url"]

	@property
	def 							_SCREAMING_SNAKE_CASE   (     self:		Optional[Any])				->       int:

				"""simple docstring"""

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

	@property
	def 							_SCREAMING_SNAKE_CASE   (     self:		int)				->       int:

				"""simple docstring"""

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

	@property
	def 							_SCREAMING_SNAKE_CASE   (     self:		Tuple)				->       int:

				"""simple docstring"""

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

	@property
	def 							_SCREAMING_SNAKE_CASE   (     self:		Tuple)				->       str:

				"""simple docstring"""

				return self.user_data["profile_pic_url_hd"]

	@property
	def 							_SCREAMING_SNAKE_CASE   (     self:		List[str])				->       bool:

				"""simple docstring"""

				return self.user_data["is_verified"]







	@property
	def 							_SCREAMING_SNAKE_CASE   (     self:		Dict)				->       bool:

				"""simple docstring"""

				return self.user_data["is_private"]






def 			_lowercase				(  __snake_case = "github"	)						->   None:
			import os

			if os.environ.get("CI"	):
						return  # test failing on GitHub Actions
			__lowerCAmelCase      :  Optional[Any]												=       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 > 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()
	__snake_case							:   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 = }""")




"""simple docstring"""






import os
import unittest

from transformers import FunnelTokenizer, FunnelTokenizerFast
from transformers.models.funnel.tokenization_funnel import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers

from ...test_tokenization_common import TokenizerTesterMixin



@require_tokenizers
class 			A__   (  __SCREAMING_SNAKE_CASE  ,		unittest.TestCase							):




	'''simple docstring'''





	SCREAMING_SNAKE_CASE          =	FunnelTokenizer
	SCREAMING_SNAKE_CASE          =	FunnelTokenizerFast
	SCREAMING_SNAKE_CASE          =	True
	SCREAMING_SNAKE_CASE          =	True

	def 							_SCREAMING_SNAKE_CASE   (     self:		Tuple)				->       Optional[int]:

				"""simple docstring"""

				super().setUp()

				__lowerCAmelCase      :  str												=       [
				    "<unk>",
				    "<cls>",
				    "<sep>",
				    "want",
				    "##want",
				    "##ed",
				    "wa",
				    "un",
				    "runn",
				    "##ing",
				    ",",
				    "low",
				    "lowest",
				]
				__lowerCAmelCase      :  int												=       os.path.join(self.tmpdirname       ,			VOCAB_FILES_NAMES["vocab_file"])
				with open(self.vocab_file       ,			"w"       ,			encoding="utf-8") as vocab_writer:
							vocab_writer.write("".join([x + "\n" for x in vocab_tokens]))

	def 							_SCREAMING_SNAKE_CASE   (     self:		Optional[Any]       ,			**_SCREAMING_SNAKE_CASE:		Union[str, Any])				->       int:

				"""simple docstring"""

				return FunnelTokenizer.from_pretrained(self.tmpdirname       ,			**_SCREAMING_SNAKE_CASE)

	def 							_SCREAMING_SNAKE_CASE   (     self:		Any       ,			**_SCREAMING_SNAKE_CASE:		Any)				->       str:

				"""simple docstring"""

				return FunnelTokenizerFast.from_pretrained(self.tmpdirname       ,			**_SCREAMING_SNAKE_CASE)

	def 							_SCREAMING_SNAKE_CASE   (     self:		Tuple       ,			_SCREAMING_SNAKE_CASE:		str)				->       Any:

				"""simple docstring"""

				__lowerCAmelCase      :  Union[str, Any]												=       "UNwant\u00E9d,running"
				__lowerCAmelCase      :  str												=       "unwanted, running"
				return input_text, output_text

	def 							_SCREAMING_SNAKE_CASE   (     self:		Optional[int])				->       List[str]:

				"""simple docstring"""

				__lowerCAmelCase      :  Any												=       self.tokenizer_class(self.vocab_file)

				__lowerCAmelCase      :  Any												=       tokenizer.tokenize("UNwant\u00E9d,running")
				self.assertListEqual(_SCREAMING_SNAKE_CASE       ,			["un", "##want", "##ed", ",", "runn", "##ing"])
				self.assertListEqual(tokenizer.convert_tokens_to_ids(_SCREAMING_SNAKE_CASE)       ,			[7, 4, 5, 10, 8, 9])







	def 							_SCREAMING_SNAKE_CASE   (     self:		List[str])				->       List[str]:

				"""simple docstring"""

				__lowerCAmelCase      :  Optional[Any]												=       self.get_tokenizers(do_lower_case=_SCREAMING_SNAKE_CASE)
				for tokenizer in tokenizers:
							__lowerCAmelCase      :  List[str]												=       tokenizer("UNwant\u00E9d,running")
							__lowerCAmelCase      :  Optional[int]												=       len(inputs["input_ids"]) - 1
							self.assertListEqual(inputs["token_type_ids"]       ,			[2] + [0] * sentence_len)

							__lowerCAmelCase      :  List[str]												=       tokenizer("UNwant\u00E9d,running"       ,			"UNwant\u00E9d,running")
							self.assertListEqual(inputs["token_type_ids"]       ,			[2] + [0] * sentence_len + [1] * sentence_len)