



'''simple docstring'''







import multiprocessing
import time

from arguments import PretokenizationArguments
from datasets import load_dataset

from transformers import AutoTokenizer, HfArgumentParser

def  lowerCamelCase_					(       A_				):
	__lowerCamelCase		       =		{}
	__lowerCamelCase		       =		tokenizer(example['''content''']    ,				truncation=lowerCamelCase_				)['''input_ids''']
	__lowerCamelCase		       =		len(example['''content''']				) / len(output['''input_ids''']				)
	return output


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

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

_UpperCamelCase					:  Optional[int]        =time.time()
_UpperCamelCase					:  Dict        =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					:  Any        =time.time()
ds.push_to_hub(args.tokenized_data_repo)







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









from __future__ import annotations

from typing import Any






def     a     (		lowerCamelCase_							):






				'''simple docstring'''
				if not postfix_notation:
								return 0

				lowercase__  					=     {'''+''', '''-''', '''*''', '''/'''}
				lowercase__  					=     []

				for token in postfix_notation:
								if token in operations:
												lowercase__					,		lowercase__  					=     stack.pop(), stack.pop()
												if token == "+":
																stack.append(a + b							)
												elif token == "-":
																stack.append(a - b							)
												elif token == "*":
																stack.append(a * b							)
												else:
																if a * b < 0 and a % b != 0:
																				stack.append(a // b + 1							)
																else:
																				stack.append(a // b							)
								else:
												stack.append(int(lowerCamelCase_							)							)

				return stack.pop()


if __name__ == "__main__":
							import doctest

							doctest.testmod()




