






import unittest

from transformers import BarthezTokenizer, BarthezTokenizerFast, BatchEncoding
from transformers.testing_utils import require_sentencepiece, require_tokenizers, require_torch, slow

from ...test_tokenization_common import TokenizerTesterMixin






@require_tokenizers
@require_sentencepiece
@slow  # see https://github.com/huggingface/transformers/issues/11457
class 						UpperCAmelCase__ (							__snake_case     ,				unittest.TestCase							):
		__snake_case      :       int     =   BarthezTokenizer
		__snake_case      :       Optional[int]     =   BarthezTokenizerFast
		__snake_case      :       str     =   True
		__snake_case      :       str     =   True







		def  A__      (					self		):
						super().setUp()

						_A	:				Union[str, Any]   =      BarthezTokenizerFast.from_pretrained('''moussaKam/mbarthez'''		)
						tokenizer.save_pretrained(self.tmpdirname		)
						tokenizer.save_pretrained(self.tmpdirname       ,legacy_format=A__		)
						_A	:				str   =      tokenizer







		def  A__      (					self		):
						_A	:				Optional[int]   =      '''<pad>'''
						_A	:				Dict   =      1

						self.assertEqual(self.get_tokenizer()._convert_token_to_id(A__		)       ,A__		)
						self.assertEqual(self.get_tokenizer()._convert_id_to_token(A__		)       ,A__		)







		def  A__      (					self		):
						_A	:				int   =      list(self.get_tokenizer().get_vocab().keys()		)

						self.assertEqual(vocab_keys[0]       ,'''<s>'''		)
						self.assertEqual(vocab_keys[1]       ,'''<pad>'''		)
						self.assertEqual(vocab_keys[-1]       ,'''<mask>'''		)
						self.assertEqual(len(A__		)       ,101122		)







		def  A__      (					self		):
						self.assertEqual(self.get_tokenizer().vocab_size       ,101122		)







		@require_torch
		def  A__      (					self		):
						_A	:				Any   =      ['''A long paragraph for summarization.''', '''Another paragraph for summarization.''']
						_A	:				Union[str, Any]   =      [0, 57, 3018, 70307, 91, 2]

						_A	:				List[str]   =      self.tokenizer(
						    A__       ,max_length=len(A__		)       ,padding=A__       ,truncation=A__       ,return_tensors='''pt'''		)
						self.assertIsInstance(A__       ,A__		)

						self.assertEqual((2, 6)       ,batch.input_ids.shape		)
						self.assertEqual((2, 6)       ,batch.attention_mask.shape		)
						_A	:				Dict   =      batch.input_ids.tolist()[0]
						self.assertListEqual(A__       ,A__		)







		def  A__      (					self		):
						if not self.test_rust_tokenizer:
										return

						_A	:				Any   =      self.get_tokenizer()
						_A	:				int   =      self.get_rust_tokenizer()

						_A	:				str   =      '''I was born in 92000, and this is falsé.'''

						_A	:				Union[str, Any]   =      tokenizer.tokenize(A__		)
						_A	:				Tuple   =      rust_tokenizer.tokenize(A__		)
						self.assertListEqual(A__       ,A__		)

						_A	:				List[Any]   =      tokenizer.encode(A__       ,add_special_tokens=A__		)
						_A	:				Tuple   =      rust_tokenizer.encode(A__       ,add_special_tokens=A__		)
						self.assertListEqual(A__       ,A__		)

						_A	:				Optional[int]   =      self.get_rust_tokenizer()
						_A	:				Optional[int]   =      tokenizer.encode(A__		)
						_A	:				Optional[int]   =      rust_tokenizer.encode(A__		)
						self.assertListEqual(A__       ,A__		)







		@slow
		def  A__      (					self		):
						# fmt: off
						_A	:				Dict   =      {'''input_ids''': [[0, 490, 14328, 4507, 354, 47, 43669, 95, 25, 78117, 20215, 19779, 190, 22, 400, 4, 35343, 80310, 603, 86, 24937, 105, 33438, 94762, 196, 39642, 7, 15, 15933, 173, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [0, 10534, 87, 25, 66, 3358, 196, 55289, 8, 82961, 81, 2204, 75203, 7, 15, 763, 12956, 216, 178, 14328, 9595, 1377, 69693, 7, 448, 71021, 196, 18106, 1437, 13974, 108, 9083, 4, 49315, 7, 39, 86, 1326, 2793, 46333, 4, 448, 196, 74588, 7, 49315, 7, 39, 21, 822, 38470, 74, 21, 66723, 62480, 8, 22050, 5, 2]], '''attention_mask''': [[1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]]}  # noqa: E501
						# fmt: on

						# moussaKam/mbarthez is a french model. So we also use french texts.
						_A	:				int   =      [
						    '''Le transformeur est un modèle d\'apprentissage profond introduit en 2017, '''
						    '''utilisé principalement dans le domaine du traitement automatique des langues (TAL).''',
						    '''À l\'instar des réseaux de neurones récurrents (RNN), les transformeurs sont conçus '''
						    '''pour gérer des données séquentielles, telles que le langage naturel, pour des tâches '''
						    '''telles que la traduction et la synthèse de texte.''',
						]

						self.tokenizer_integration_test_util(
						    expected_encoding=A__       ,model_name='''moussaKam/mbarthez'''       ,revision='''c2e4ecbca5e3cd2c37fe1ac285ca4fbdf1366fb6'''       ,sequences=A__       ,)











from __future__ import annotations

import json

import requests
from bsa import BeautifulSoup
from fake_useragent import UserAgent

_UpperCamelCase			:	Union[str, Any]								={'UserAgent': UserAgent().random}



def  a__ (__lowercase							:Optional[Any]   )		-> dict:
				_A	:				str   =      script.contents[0]
				_A	:				Dict   =      json.loads(data[data.find('''{"config"'''   ) : -1]   )
				return info["entry_data"]["ProfilePage"][0]["graphql"]["user"]






class 						UpperCAmelCase__ :







		def __init__(					self       ,A__		):
						_A	:				Any   =      f"""https://www.instagram.com/{username}/"""
						_A	:				Optional[Any]   =      self.get_json()







		def  A__      (					self		):
						_A	:				str   =      requests.get(self.url       ,headers=A__		).text
						_A	:				Dict   =      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		):
						return f"""{self.__class__.__name__}('{self.username}')"""







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







		@property
		def  A__      (					self		):
						return self.user_data["username"]







		@property
		def  A__      (					self		):
						return self.user_data["full_name"]







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







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







		@property
		def  A__      (					self		):
						return self.user_data["external_url"]







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







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







		@property
		def  A__      (					self		):
						return self.user_data["edge_owner_to_timeline_media"]["count"]







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







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







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



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

				if os.environ.get('''CI'''   ):
								return  # test failing on GitHub Actions
				_A	:				Optional[int]   =      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 > 150
				assert instagram_user.number_of_followers > 12_0000
				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			:	List[Any]								=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 = }''')



