





'''simple docstring'''






import logging
import os
import sys
from pathlib import Path
from unittest.mock import patch

from parameterized import parameterized
from run_eval import run_generate
from run_eval_search import run_search

from transformers.testing_utils import CaptureStdout, TestCasePlus, slow
from utils import ROUGE_KEYS


logging.basicConfig(level=logging.DEBUG)
A   : Union[str, Any]             =			logging.getLogger()





def       lowercase_      (		lowercase__				,  lowercase__						)   ->Optional[Any]:
						_snake_case:   List[Any]  					=		'''\n'''.join(__A						)
						Path(__A						).open('w'						).writelines(__A						)


A   : List[str]             =			'patrickvonplaten/t5-tiny-random'
A   : int             =			'sshleifer/bart-tiny-random'
A   : Any             =			'sshleifer/tiny-mbart'

A   : List[Any]             =			logging.StreamHandler(sys.stdout)
logger.addHandler(stream_handler)
logging.disable(logging.CRITICAL)  # remove noisy download output from tracebacks







class 			lowerCamelCase       (						__A  ):


					def    SCREAMING_SNAKE_CASE_		(					self	:  Optional[Any]       ,     __snake_case	:  Optional[int]       ):





											'''simple docstring'''





											_snake_case:   List[str]  					=		Path(self.get_auto_remove_tmp_dir()       ) / '''utest_input.source'''
											_snake_case:   Optional[int]  					=		input_file_name.parent / '''utest_output.txt'''
											assert not output_file_name.exists()
											_snake_case:   List[str]  					=		[''' New York (CNN)When Liana Barrientos was 23 years old, she got married in Westchester County.''']
											_dump_articles(__snake_case       ,     __snake_case       )

											_snake_case:   Union[str, Any]  					=		str(Path(self.get_auto_remove_tmp_dir()       ) / 'scores.json'       )
											_snake_case:   Tuple  					=		'''translation_en_to_de''' if model == T5_TINY else '''summarization'''
											_snake_case:   int  					=		f'''\n            run_eval_search.py\n            {model}\n            {input_file_name}\n            {output_file_name}\n            --score_path {score_path}\n            --task {task}\n            --num_beams 2\n            --length_penalty 2.0\n            '''.split()

											with patch.object(__snake_case       ,     'argv'       ,     __snake_case       ):
																	run_generate()
																	assert Path(__snake_case       ).exists()
																	# os.remove(Path(output_file_name))


					def    SCREAMING_SNAKE_CASE_		(					self	:  Dict       ):





											'''simple docstring'''





											self.run_eval_tester(__snake_case       )


					@parameterized.expand([BART_TINY, MBART_TINY]       )
					@slow
					def    SCREAMING_SNAKE_CASE_		(					self	:  Any       ,     __snake_case	:  Optional[Any]       ):





											'''simple docstring'''





											self.run_eval_tester(__snake_case       )




					@parameterized.expand([T5_TINY, MBART_TINY]       )
					@slow
					def    SCREAMING_SNAKE_CASE_		(					self	:  List[str]       ,     __snake_case	:  Tuple       ):





											'''simple docstring'''





											_snake_case:   Any  					=		Path(self.get_auto_remove_tmp_dir()       ) / '''utest_input.source'''
											_snake_case:   Optional[Any]  					=		input_file_name.parent / '''utest_output.txt'''
											assert not output_file_name.exists()

											_snake_case:   Union[str, Any]  					=		{
											    '''en''': ['''Machine learning is great, isn\'t it?''', '''I like to eat bananas''', '''Tomorrow is another great day!'''],
											    '''de''': [
											        '''Maschinelles Lernen ist großartig, oder?''',
											        '''Ich esse gerne Bananen''',
											        '''Morgen ist wieder ein toller Tag!''',
											    ],
											}

											_snake_case:   List[str]  					=		Path(self.get_auto_remove_tmp_dir()       )
											_snake_case:   Any  					=		str(tmp_dir / 'scores.json'       )
											_snake_case:   Union[str, Any]  					=		str(tmp_dir / 'val.target'       )
											_dump_articles(__snake_case       ,     text['en']       )
											_dump_articles(__snake_case       ,     text['de']       )
											_snake_case:   Tuple  					=		'''translation_en_to_de''' if model == T5_TINY else '''summarization'''
											_snake_case:   str  					=		f'''\n            run_eval_search.py\n            {model}\n            {str(__snake_case       )}\n            {str(__snake_case       )}\n            --score_path {score_path}\n            --reference_path {reference_path}\n            --task {task}\n            '''.split()
											testargs.extend(['--search', 'num_beams=1:2 length_penalty=0.9:1.0']       )

											with patch.object(__snake_case       ,     'argv'       ,     __snake_case       ):
																	with CaptureStdout() as cs:
																							run_search()
																	_snake_case:   List[Any]  					=		[''' num_beams | length_penalty''', model, '''Best score args''']
																	_snake_case:   List[Any]  					=		['''Info''']
																	if "translation" in task:
																							expected_strings.append('bleu'       )
																	else:
																							expected_strings.extend(__snake_case       )
																	for w in expected_strings:
																							assert w in cs.out
																	for w in un_expected_strings:
																							assert w not in cs.out
																	assert Path(__snake_case       ).exists()
																	os.remove(Path(__snake_case       )       )












'''simple docstring'''






import sys
import webbrowser

import requests
from bsa import BeautifulSoup
from fake_useragent import UserAgent

if __name__ == "__main__":
		print('Googling.....')
		A   : Optional[int]             =			'https://www.google.com/search?q=' + ' '.join(sys.argv[1:])
		A   : Dict             =			requests.get(url, headers={'UserAgent': UserAgent().random})
		# res.raise_for_status()
		with open('project1a.html', 'wb') as out_file:  # only for knowing the class
				for data in res.iter_content(10_000):
						out_file.write(data)
		A   : List[Any]             =			BeautifulSoup(res.text, 'html.parser')
		A   : List[Any]             =			list(soup.select('.eZt8xd'))[:5]

		print(len(links))
		for link in links:
				if link.text == "Maps":
						webbrowser.open(link.get('href'))
				else:
						webbrowser.open(F'https://google.com{link.get("href")}')





