






"""simple docstring"""
import argparse
import shutil
from pathlib import Path

from tqdm import tqdm

from transformers import AutoTokenizer





def 				lowercase__		(					lowerCamelCase,						lowerCamelCase,						lowerCamelCase,						lowerCamelCase=1_024       ):
				_SCREAMING_SNAKE_CASE		,						_SCREAMING_SNAKE_CASE   :		Optional[int]       		=    [], []

				_SCREAMING_SNAKE_CASE   :		str       		=    list(zip(lowerCamelCase,						lowerCamelCase       )       )
				_SCREAMING_SNAKE_CASE		,						_SCREAMING_SNAKE_CASE   :		str       		=    sorted_examples[0]

				def is_too_big(lowerCamelCase       ):
								return tok(lowerCamelCase,						return_tensors='pt'       ).input_ids.shape[1] > max_tokens

				for src, tgt in tqdm(sorted_examples[1:]       ):
								_SCREAMING_SNAKE_CASE   :		Optional[int]       		=    new_src + ' ' + src
								_SCREAMING_SNAKE_CASE   :		Tuple       		=    new_tgt + ' ' + tgt
								if is_too_big(lowerCamelCase       ) or is_too_big(lowerCamelCase       ):  # cant fit, finalize example
												finished_src.append(lowerCamelCase       )
												finished_tgt.append(lowerCamelCase       )
												_SCREAMING_SNAKE_CASE		,						_SCREAMING_SNAKE_CASE   :		Dict       		=    src, tgt
								else:  # can fit, keep adding
												_SCREAMING_SNAKE_CASE		,						_SCREAMING_SNAKE_CASE   :		int       		=    cand_src, cand_tgt

    # cleanup
				if new_src:
								assert new_tgt
								finished_src.append(lowerCamelCase       )
								finished_tgt.append(lowerCamelCase       )
				return finished_src, finished_tgt





def 				lowercase__		(					lowerCamelCase,						lowerCamelCase,						lowerCamelCase,						lowerCamelCase       ):
				_SCREAMING_SNAKE_CASE   :		str       		=    Path(lowerCamelCase       )
				save_path.mkdir(exist_ok=lowerCamelCase       )
				for split in ["train"]:
								_SCREAMING_SNAKE_CASE		,						_SCREAMING_SNAKE_CASE   :		List[str]       		=    data_dir / f"""{split}.source""", data_dir / f"""{split}.target"""
								_SCREAMING_SNAKE_CASE   :		Dict       		=    [x.rstrip() for x in Path(lowerCamelCase       ).open().readlines()]
								_SCREAMING_SNAKE_CASE   :		List[str]       		=    [x.rstrip() for x in Path(lowerCamelCase       ).open().readlines()]
								_SCREAMING_SNAKE_CASE		,						_SCREAMING_SNAKE_CASE   :		List[str]       		=    pack_examples(lowerCamelCase,						lowerCamelCase,						lowerCamelCase,						lowerCamelCase       )
								print(f"""packed {split} split from {len(lowerCamelCase       )} examples -> {len(lowerCamelCase       )}."""       )
								Path(save_path / f"""{split}.source"""       ).open('w'       ).write('\n'.join(lowerCamelCase       )       )
								Path(save_path / f"""{split}.target"""       ).open('w'       ).write('\n'.join(lowerCamelCase       )       )
				for split in ["val", "test"]:
								_SCREAMING_SNAKE_CASE		,						_SCREAMING_SNAKE_CASE   :		List[str]       		=    data_dir / f"""{split}.source""", data_dir / f"""{split}.target"""
								shutil.copyfile(lowerCamelCase,						save_path / f"""{split}.source"""       )
								shutil.copyfile(lowerCamelCase,						save_path / f"""{split}.target"""       )





def 				lowercase__		(					):
				_SCREAMING_SNAKE_CASE   :		int       		=    argparse.ArgumentParser()
				parser.add_argument('--tok_name',						type=lowerCamelCase,						help='like facebook/bart-large-cnn,t5-base, etc.'       )
				parser.add_argument('--max_seq_len',						type=lowerCamelCase,						default=128       )
				parser.add_argument('--data_dir',						type=lowerCamelCase       )
				parser.add_argument('--save_path',						type=lowerCamelCase       )
				_SCREAMING_SNAKE_CASE   :		Dict       		=    parser.parse_args()
				_SCREAMING_SNAKE_CASE   :		int       		=    AutoTokenizer.from_pretrained(args.tok_name       )
				return pack_data_dir(lowerCamelCase,						Path(args.data_dir       ),						args.max_seq_len,						args.save_path       )


if __name__ == "__main__":
			packer_cli()









"""simple docstring"""
from datetime import datetime

import requests
from bsa import BeautifulSoup

if __name__ == "__main__":
			lowerCAmelCase__    						=			input('Enter image url: ').strip()
			print(F'Downloading image from {url} ...')
			lowerCAmelCase__    						=			BeautifulSoup(requests.get(url).content, 'html.parser')
			# The image URL is in the content field of the first meta tag with property og:image
			lowerCAmelCase__    						=			soup.find('meta', {'property': 'og:image'})['content']
			lowerCAmelCase__    						=			requests.get(image_url).content
			lowerCAmelCase__    						=			F'{datetime.now():%Y-%m-%d_%H:%M:%S}.jpg'
			with open(file_name, 'wb') as fp:
						fp.write(image_data)
			print(F'Done. Image saved to disk as {file_name}.')

