


'''simple docstring'''




import fire
from torch.utils.data import DataLoader
from tqdm import tqdm

from transformers import AutoTokenizer
from utils import SeqaSeqDataset, pickle_save





def 	a_					( lowerCamelCase	:     int	, lowerCamelCase	:     Any	, lowerCamelCase	:     Optional[Any]=1024	, lowerCamelCase	:     Tuple=1024	, lowerCamelCase	:     Tuple=False	, **lowerCamelCase	:     Any				):
   lowerCAmelCase     =			AutoTokenizer.from_pretrained(lowerCamelCase				)
   lowerCAmelCase     =			SeqaSeqDataset(lowerCamelCase	, lowerCamelCase	, lowerCamelCase	, lowerCamelCase	, type_path='train'	, **lowerCamelCase				)
   lowerCAmelCase     =			tok.pad_token_id

   def get_lens(lowerCamelCase	:     List[Any]				):
      lowerCAmelCase     =			tqdm(
          DataLoader(lowerCamelCase	, batch_size=512	, num_workers=8	, shuffle=lowerCamelCase	, collate_fn=ds.collate_fn				)	, desc=str(ds.len_file				)	, )
      lowerCAmelCase     =			[]
      for batch in dl:
         lowerCAmelCase     =			batch['input_ids'].ne(lowerCamelCase				).sum(1				).tolist()
         lowerCAmelCase     =			batch['labels'].ne(lowerCamelCase				).sum(1				).tolist()
         if consider_target:
            for src, tgt in zip(lowerCamelCase	, lowerCamelCase				):
               max_lens.append(max(lowerCamelCase	, lowerCamelCase				)				)
         else:
            max_lens.extend(lowerCamelCase				)
      return max_lens

   lowerCAmelCase     =			get_lens(lowerCamelCase				)
   lowerCAmelCase     =			SeqaSeqDataset(lowerCamelCase	, lowerCamelCase	, lowerCamelCase	, lowerCamelCase	, type_path='val'	, **lowerCamelCase				)
   lowerCAmelCase     =			get_lens(lowerCamelCase				)
   pickle_save(lowerCamelCase	, train_ds.len_file				)
   pickle_save(lowerCamelCase	, val_ds.len_file				)


if __name__ == "__main__":
       fire.Fire(save_len_file)







import requests
from bsa import BeautifulSoup



def        UpperCamelCase    (							lowerCAmelCase__ = "https://www.worldometers.info/coronavirus"		):
					'''simple docstring'''
					lowercase							=						BeautifulSoup(requests.get(lowerCAmelCase__		).text ,			'''html.parser'''		)
					lowercase							=						soup.findAll('''h1'''		)
					lowercase							=						soup.findAll('''div''' ,			{'''class''': '''maincounter-number'''}		)
					keys += soup.findAll('''span''' ,			{'''class''': '''panel-title'''}		)
					values += soup.findAll('''div''' ,			{'''class''': '''number-table-main'''}		)
					return {key.text.strip(): value.text.strip() for key, value in zip(lowerCAmelCase__ ,			lowerCAmelCase__		)}


if __name__ == "__main__":
							print("\033[1m" + "COVID-19 Status of the World" + "\033[0m\n")
							for key, value in world_covidaa_stats().items():
														print(F'{key}\n{value}\n')




