


"""simple docstring"""
import multiprocessing
import time

from arguments import PretokenizationArguments
from datasets import load_dataset

from transformers import AutoTokenizer, HfArgumentParser







def   _a			( _SCREAMING_SNAKE_CASE			)      ->			int:
							snake_case_          =						{}
							snake_case_          =						tokenizer(example["""content"""]			,	truncation=_SCREAMING_SNAKE_CASE			)["""input_ids"""]
							snake_case_          =						len(example["""content"""]			) / len(output["""input_ids"""]			)
							return output


__lowerCAmelCase							:      List[str]						=      HfArgumentParser(PretokenizationArguments)
__lowerCAmelCase							:      Optional[int]						=      parser.parse_args()
if args.num_workers is None:
				__lowerCAmelCase							:      Optional[Any]						=      multiprocessing.cpu_count()
__lowerCAmelCase							:      Union[str, Any]						=      AutoTokenizer.from_pretrained(args.tokenizer_dir)

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

__lowerCAmelCase							:      str						=      time.time()
__lowerCAmelCase							:      List[Any]						=      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""")

__lowerCAmelCase							:      Optional[int]						=      time.time()
ds.push_to_hub(args.tokenized_data_repo)





print(f"""Data pushed to the hub in {time.time()-t_start:.2f}s""")







"""simple docstring"""
def   _a			( _SCREAMING_SNAKE_CASE			)      ->			list[int]:
							snake_case_          =						len(_SCREAMING_SNAKE_CASE			)
							for i in range(_SCREAMING_SNAKE_CASE			):
														for j in range(i + 1			,	_SCREAMING_SNAKE_CASE			):
																					if numbers[j] < numbers[i]:
																												snake_case_    ,  snake_case_          =						numbers[j], numbers[i]
							return numbers


if __name__ == "__main__":
				__SCREAMING_SNAKE_CASE							:      Optional[int]						=      input('Enter numbers separated by a comma:\n').strip()
				__SCREAMING_SNAKE_CASE							:      List[str]						=      [int(item) for item in user_input.split(',')]
				print(exchange_sort(unsorted))



