



import json
from typing import List, Optional, Tuple

from tokenizers import normalizers

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from .tokenization_lxmert import LxmertTokenizer


_lowerCAmelCase	:   Tuple    =   {"vocab_file": "vocab.txt", "tokenizer_file": "tokenizer.json"}

_lowerCAmelCase	:   str    =   {
    "vocab_file": {
        "unc-nlp/lxmert-base-uncased": "https://huggingface.co/unc-nlp/lxmert-base-uncased/resolve/main/vocab.txt",
    },
    "tokenizer_file": {
        "unc-nlp/lxmert-base-uncased": (
            "https://huggingface.co/unc-nlp/lxmert-base-uncased/resolve/main/tokenizer.json"
        ),
    },
}

_lowerCAmelCase	:   Tuple    =   {
    "unc-nlp/lxmert-base-uncased": 5_1_2,
}

_lowerCAmelCase	:   List[Any]    =   {
    "unc-nlp/lxmert-base-uncased": {"do_lower_case": True},
}


class 	__snake_case   ( SCREAMING_SNAKE_CASE ):
		SCREAMING_SNAKE_CASE__								=	VOCAB_FILES_NAMES
		SCREAMING_SNAKE_CASE__								=	PRETRAINED_VOCAB_FILES_MAP
		SCREAMING_SNAKE_CASE__								=	PRETRAINED_INIT_CONFIGURATION
		SCREAMING_SNAKE_CASE__								=	PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
		SCREAMING_SNAKE_CASE__								=	LxmertTokenizer
		def __init__(							self    ,a_=None    ,a_=None    ,a_=True    ,a_="[UNK]"    ,a_="[SEP]"    ,a_="[PAD]"    ,a_="[CLS]"    ,a_="[MASK]"    ,a_=True    ,a_=None    ,**a_    ,):







						"""simple docstring"""
						super().__init__(
						    a_    ,tokenizer_file=a_    ,do_lower_case=a_    ,unk_token=a_    ,sep_token=a_    ,pad_token=a_    ,cls_token=a_    ,mask_token=a_    ,tokenize_chinese_chars=a_    ,strip_accents=a_    ,**a_    ,)

						lowerCAmelCase__		  =  json.loads(self.backend_tokenizer.normalizer.__getstate__()						)
						if (
						    normalizer_state.get('lowercase'    ,a_						) != do_lower_case
						    or normalizer_state.get('strip_accents'    ,a_						) != strip_accents
						    or normalizer_state.get('handle_chinese_chars'    ,a_						) != tokenize_chinese_chars
						):
										lowerCAmelCase__		  =  getattr(a_    ,normalizer_state.pop('type'						)						)
										lowerCAmelCase__		  =  do_lower_case
										lowerCAmelCase__		  =  strip_accents
										lowerCAmelCase__		  =  tokenize_chinese_chars
										lowerCAmelCase__		  =  normalizer_class(**a_						)

						lowerCAmelCase__		  =  do_lower_case
		def 						SCREAMING_SNAKE_CASE_					(							self    ,a_    ,a_=None						):







						"""simple docstring"""
						lowerCAmelCase__		  =  [self.cls_token_id] + token_ids_a + [self.sep_token_id]

						if token_ids_a:
										output += token_ids_a + [self.sep_token_id]

						return output
		def 						SCREAMING_SNAKE_CASE_					(							self    ,a_    ,a_ = None						):







						"""simple docstring"""
						lowerCAmelCase__		  =  [self.sep_token_id]
						lowerCAmelCase__		  =  [self.cls_token_id]
						if token_ids_a is None:
										return len(cls + token_ids_a + sep						) * [0]
						return len(cls + token_ids_a + sep						) * [0] + len(token_ids_a + sep						) * [1]



		def 						SCREAMING_SNAKE_CASE_					(							self    ,a_    ,a_ = None						):







						"""simple docstring"""
						lowerCAmelCase__		  =  self._tokenizer.model.save(a_    ,name=a_						)
						return tuple(a_						)





from __future__ import annotations

import json

import requests
from bsa import BeautifulSoup
from fake_useragent import UserAgent

_lowerCAmelCase	:   List[str]    =   {"UserAgent": UserAgent().random}







def     UpperCAmelCase_		(					snake_case__					)	->     dict:



				"""simple docstring"""





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


class 	__snake_case   :
		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     UpperCAmelCase_		(					snake_case__ = "github"					)	->     None:



				"""simple docstring"""





				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 > 150
				assert instagram_user.number_of_followers > 120000
				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	:   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 = }""")
