


import json
import os
import unittest

from transformers import OpenAIGPTTokenizer, OpenAIGPTTokenizerFast
from transformers.models.openai.tokenization_openai import VOCAB_FILES_NAMES
from transformers.testing_utils import require_ftfy, require_spacy, require_tokenizers

from ...test_tokenization_common import TokenizerTesterMixin







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





							"""simple docstring"""







							_UpperCAmelCase      =						OpenAIGPTTokenizer
							_UpperCAmelCase      =						OpenAIGPTTokenizerFast
							_UpperCAmelCase      =						True
							_UpperCAmelCase      =						False






							def 					UpperCamelCase__     (      self       ):





										"""simple docstring"""




										super().setUp()

										# Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
										SCREAMING_SNAKE_CASE_		:     List[str]					=					[
										    'l',
										    'o',
										    'w',
										    'e',
										    'r',
										    's',
										    't',
										    'i',
										    'd',
										    'n',
										    'w</w>',
										    'r</w>',
										    't</w>',
										    'lo',
										    'low',
										    'er</w>',
										    'low</w>',
										    'lowest</w>',
										    'newer</w>',
										    'wider</w>',
										    '<unk>',
										]
										SCREAMING_SNAKE_CASE_		:     List[str]					=					dict(zip(lowerCAmelCase__			,						range(len(lowerCAmelCase__       )       )       )       )
										SCREAMING_SNAKE_CASE_		:     List[Any]					=					['#version: 0.2', 'l o', 'lo w', 'e r</w>', '']

										SCREAMING_SNAKE_CASE_		:     List[str]					=					os.path.join(self.tmpdirname			,						VOCAB_FILES_NAMES['vocab_file']       )
										SCREAMING_SNAKE_CASE_		:     Optional[Any]					=					os.path.join(self.tmpdirname			,						VOCAB_FILES_NAMES['merges_file']       )
										with open(self.vocab_file			,						'w'       ) as fp:
													fp.write(json.dumps(lowerCAmelCase__       )       )
										with open(self.merges_file			,						'w'       ) as fp:
													fp.write('\n'.join(lowerCAmelCase__       )       )






							def 					UpperCamelCase__     (      self			,						lowerCAmelCase__       ):





										"""simple docstring"""




										return "lower newer", "lower newer"






							def 					UpperCamelCase__     (      self       ):





										"""simple docstring"""




										SCREAMING_SNAKE_CASE_		:     Union[str, Any]					=					OpenAIGPTTokenizer(self.vocab_file			,						self.merges_file       )

										SCREAMING_SNAKE_CASE_		:     Optional[Any]					=					'lower'
										SCREAMING_SNAKE_CASE_		:     Any					=					['low', 'er</w>']
										SCREAMING_SNAKE_CASE_		:     str					=					tokenizer.tokenize(lowerCAmelCase__       )
										self.assertListEqual(lowerCAmelCase__			,						lowerCAmelCase__       )

										SCREAMING_SNAKE_CASE_		:     Dict					=					tokens + ['<unk>']
										SCREAMING_SNAKE_CASE_		:     int					=					[1_4, 1_5, 2_0]
										self.assertListEqual(tokenizer.convert_tokens_to_ids(lowerCAmelCase__       )			,						lowerCAmelCase__       )






							def 					UpperCamelCase__     (      self			,						lowerCAmelCase__=1_5       ):





										"""simple docstring"""




										for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
													with self.subTest(F'''{tokenizer.__class__.__name__} ({pretrained_name})'''       ):
																SCREAMING_SNAKE_CASE_		:     int					=					self.rust_tokenizer_class.from_pretrained(lowerCAmelCase__			,						**lowerCAmelCase__       )

																# Simple input
																SCREAMING_SNAKE_CASE_		:     Tuple					=					'This is a simple input'
																SCREAMING_SNAKE_CASE_		:     int					=					['This is a simple input 1', 'This is a simple input 2']
																SCREAMING_SNAKE_CASE_		:     int					=					('This is a simple input', 'This is a pair')
																SCREAMING_SNAKE_CASE_		:     Optional[Any]					=					[
																    ('This is a simple input 1', 'This is a simple input 2'),
																    ('This is a simple pair 1', 'This is a simple pair 2'),
																]

																# Simple input tests
																self.assertRaises(lowerCAmelCase__			,						tokenizer_r.encode			,						lowerCAmelCase__			,						max_length=lowerCAmelCase__			,						padding='max_length'       )

																# Simple input
																self.assertRaises(lowerCAmelCase__			,						tokenizer_r.encode_plus			,						lowerCAmelCase__			,						max_length=lowerCAmelCase__			,						padding='max_length'       )

																# Simple input
																self.assertRaises(
																    lowerCAmelCase__			,						tokenizer_r.batch_encode_plus			,						lowerCAmelCase__			,						max_length=lowerCAmelCase__			,						padding='max_length'			,						)

																# Pair input
																self.assertRaises(lowerCAmelCase__			,						tokenizer_r.encode			,						lowerCAmelCase__			,						max_length=lowerCAmelCase__			,						padding='max_length'       )

																# Pair input
																self.assertRaises(lowerCAmelCase__			,						tokenizer_r.encode_plus			,						lowerCAmelCase__			,						max_length=lowerCAmelCase__			,						padding='max_length'       )

																# Pair input
																self.assertRaises(
																    lowerCAmelCase__			,						tokenizer_r.batch_encode_plus			,						lowerCAmelCase__			,						max_length=lowerCAmelCase__			,						padding='max_length'			,						)






							def 					UpperCamelCase__     (      self       ):





										"""simple docstring"""




										pass







@require_ftfy
@require_spacy
@require_tokenizers
class 	__lowercase    (__SCREAMING_SNAKE_CASE  ):





							"""simple docstring"""







							pass









import webbrowser
from sys import argv
from urllib.parse import parse_qs, quote

import requests
from bsa import BeautifulSoup
from fake_useragent import UserAgent

if __name__ == "__main__":
				lowerCAmelCase__			:      Optional[int]								='%20'.join(argv[1:]) if len(argv) > 1 else quote(str(input('Search: ')))

				print('Googling.....')

				lowerCAmelCase__			:      Optional[int]								=F"""https://www.google.com/search?q={query}&num=100"""

				lowerCAmelCase__			:      Union[str, Any]								=requests.get(
				    url,
				    headers={'User-Agent': str(UserAgent().random)},
				)

				try:
								lowerCAmelCase__			:      str								=(
								    BeautifulSoup(res.text, 'html.parser')
								    .find('div', attrs={'class': 'yuRUbf'})
								    .find('a')
								    .get('href')
								)

				except AttributeError:
								lowerCAmelCase__			:      Optional[Any]								=parse_qs(
								    BeautifulSoup(res.text, 'html.parser')
								    .find('div', attrs={'class': 'kCrYT'})
								    .find('a')
								    .get('href')
								)['url'][0]

				webbrowser.open(link)





