





import multiprocessing
import time

from arguments import PretokenizationArguments
from datasets import load_dataset

from transformers import AutoTokenizer, HfArgumentParser
def      A__       (    SCREAMING_SNAKE_CASE_   :      int						)  ->  List[str]:






   """simple docstring"""







   _UpperCAmelCase           =   {}
   _UpperCAmelCase           =   tokenizer(example['''content''']				,	truncation=SCREAMING_SNAKE_CASE_						)['''input_ids''']
   _UpperCAmelCase           =   len(example['''content''']						) / len(output['''input_ids''']						)
   return output


UpperCAmelCase_           =	HfArgumentParser(PretokenizationArguments)
UpperCAmelCase_           =	parser.parse_args()
if args.num_workers is None:
   UpperCAmelCase_           =	multiprocessing.cpu_count()
UpperCAmelCase_           =	AutoTokenizer.from_pretrained(args.tokenizer_dir)

UpperCAmelCase_           =	time.time()
UpperCAmelCase_           =	load_dataset(args.dataset_name, split="train")
print(f'''Dataset loaded in {time.time()-t_start:.2f}s''')

UpperCAmelCase_           =	time.time()
UpperCAmelCase_           =	ds.map(
    tokenize,
    num_proc=args.num_workers,
    remove_columns=[
        "repo_name",
        "path",
        "copies",
        "size",
        "content",
        "license",
        "hash",
        "line_mean",
        "line_max",
        "alpha_frac",
        "autogenerated",
    ],
)
print(f'''Dataset tokenized in {time.time()-t_start:.2f}s''')

UpperCAmelCase_           =	time.time()
ds.push_to_hub(args.tokenized_data_repo)
print(f'''Data pushed to the hub in {time.time()-t_start:.2f}s''')




import requests

_lowerCamelCase    :		int		      =    """https://newsapi.org/v1/articles?source=bbc-news&sortBy=top&apiKey="""

def        __a			(   __lowerCAmelCase   )     ->     None:
					# fetching a list of articles in json format
					SCREAMING_SNAKE_CASE							:     List[str]						=				requests.get(_NEWS_API + bbc_news_api_key   ).json()
					# each article in the list is a dict
					for i, article in enumerate(bbc_news_page['articles']      ,	1   ):
										print(F'''{i}.) {article['title']}'''   )


if __name__ == "__main__":
			fetch_bbc_news(bbc_news_api_key="""<Your BBC News API key goes here>""")