
"""simple docstring"""

import argparse
import shutil
from pathlib import Path

from tqdm import tqdm

from transformers import AutoTokenizer




def      lowercase__    (       lowerCAmelCase					:       Optional[int]			,					lowerCAmelCase					:       str			,					lowerCAmelCase					:       Optional[int]			,					lowerCAmelCase					:       Dict=1_024			)			->   Dict:






    """simple docstring"""




    UpperCAmelCase      ,				UpperCAmelCase          =       [], []

    UpperCAmelCase          =       list(zip(lowerCAmelCase			,					lowerCAmelCase			)			)
    UpperCAmelCase      ,				UpperCAmelCase          =       sorted_examples[0]

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

    for src, tgt in tqdm(sorted_examples[1:]			):
        UpperCAmelCase          =       new_src + ' ' + src
        UpperCAmelCase          =       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			)
            UpperCAmelCase      ,				UpperCAmelCase          =       src, tgt
        else:  # can fit, keep adding
            UpperCAmelCase      ,				UpperCAmelCase          =       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					:       Optional[Any]			,					lowerCAmelCase					:       str			,					lowerCAmelCase					:       List[Any]			,					lowerCAmelCase					:       str			)			->   Tuple:






    """simple docstring"""




    UpperCAmelCase          =       Path(lowerCAmelCase			)
    save_path.mkdir(exist_ok=lowerCAmelCase			)
    for split in ["train"]:
        UpperCAmelCase      ,				UpperCAmelCase          =       data_dir / F"{split}.source", data_dir / F"{split}.target"
        UpperCAmelCase          =       [x.rstrip() for x in Path(lowerCAmelCase			).open().readlines()]
        UpperCAmelCase          =       [x.rstrip() for x in Path(lowerCAmelCase			).open().readlines()]
        UpperCAmelCase      ,				UpperCAmelCase          =       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"]:
        UpperCAmelCase      ,				UpperCAmelCase          =       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__    (       )			->   Union[str, Any]:






    """simple docstring"""




    UpperCAmelCase          =       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			)
    UpperCAmelCase          =       parser.parse_args()
    UpperCAmelCase          =       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"""






import json
import os
import re
import sys
import urllib.request

import requests
from bsa import BeautifulSoup

_lowercase							=				{
    '''User-Agent''': '''Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36'''
    ''' (KHTML, like Gecko) Chrome/70.0.3538.102 Safari/537.36 Edge/18.19582'''
}



def      lowerCAmelCase__			(		__magic_name__ = "dhaka"			,   __magic_name__ = 5      )						->int:
			__lowercase       =       min(__magic_name__			,   5_0      )  # Prevent abuse!
			__lowercase       =       {
			    "q": query,
			    "tbm": "isch",
			    "hl": "en",
			    "ijn": "0",
			}

			__lowercase       =       requests.get("https://www.google.com/search"			,   params=__magic_name__			,   headers=__magic_name__      )
			__lowercase       =       BeautifulSoup(html.text			,   "html.parser"      )
			__lowercase       =       "".join(
			    re.findall(R"AF_initDataCallback\(([^<]+)\);"			,   str(soup.select("script"      )      )      )      )

			__lowercase       =       json.dumps(__magic_name__      )
			__lowercase       =       json.loads(__magic_name__      )

			__lowercase       =       re.findall(
			    R"\[\"GRID_STATE0\",null,\[\[1,\[0,\".*?\",(.*),\"All\","			,   __magic_name__			,   )
			if not matched_google_image_data:
						return 0

			__lowercase       =       re.sub(
			    R"\[\"(https\:\/\/encrypted-tbn0\.gstatic\.com\/images\?.*?)\",\d+,\d+\]"			,   ""			,   str(__magic_name__      )			,   )

			__lowercase       =       re.findall(
			    R"(?:'|,),\[\"(https:|http.*?)\",\d+,\d+\]"			,   __magic_name__			,   )
			for index, fixed_full_res_image in enumerate(__magic_name__      ):
						if index >= max_images:
									return index
						__lowercase       =       bytes(__magic_name__			,   "ascii"      ).decode(
						    "unicode-escape"      )
						__lowercase       =       bytes(__magic_name__			,   "ascii"      ).decode(
						    "unicode-escape"      )
						__lowercase       =       urllib.request.build_opener()
						__lowercase       =       [
						    (
						        "User-Agent",
						        "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36"
						        " (KHTML, like Gecko) Chrome/70.0.3538.102 Safari/537.36 Edge/18.19582",
						    )
						]
						urllib.request.install_opener(__magic_name__      )
						__lowercase       =       F'''query_{query.replace(' '			,   '_'      )}'''
						if not os.path.exists(__magic_name__      ):
									os.makedirs(__magic_name__      )
						urllib.request.urlretrieve(  # noqa: S310
						    __magic_name__			,   F'''{path_name}/original_size_img_{index}.jpg'''      )
			return index


if __name__ == "__main__":
					try:
										_lowercase							=				download_images_from_google_query(sys.argv[1])
										print(F"{image_count} images were downloaded to disk.")
					except IndexError:
										print('''Please provide a search term.''')
										raise





