


'''simple docstring'''





import os

__a     =			{"""I""": 1, """V""": 5, """X""": 10, """L""": 50, """C""": 100, """D""": 500, """M""": 1000}
def   _UpperCamelCase				(						lowerCAmelCase_   )						->int:
   UpperCAmelCase							=     0

   UpperCAmelCase							=     0
   while index < len(lowerCAmelCase_   ) - 1:
      UpperCAmelCase							=     SYMBOLS[numerals[index]]
      UpperCAmelCase							=     SYMBOLS[numerals[index + 1]]
      if current_value < next_value:
         total_value -= current_value
      else:
         total_value += current_value
      index += 1
   total_value += SYMBOLS[numerals[index]]

   return total_value
def   _UpperCamelCase				(						lowerCAmelCase_   )						->str:
   UpperCAmelCase							=     """"""

   UpperCAmelCase							=     num // 1_0_0_0
   numerals += m_count * "M"
   num %= 1_0_0_0

   UpperCAmelCase							=     num // 1_0_0
   if c_count == 9:
      numerals += "CM"
      c_count -= 9
   elif c_count == 4:
      numerals += "CD"
      c_count -= 4
   if c_count >= 5:
      numerals += "D"
      c_count -= 5
   numerals += c_count * "C"
   num %= 1_0_0

   UpperCAmelCase							=     num // 1_0
   if x_count == 9:
      numerals += "XC"
      x_count -= 9
   elif x_count == 4:
      numerals += "XL"
      x_count -= 4
   if x_count >= 5:
      numerals += "L"
      x_count -= 5
   numerals += x_count * "X"
   num %= 1_0

   if num == 9:
      numerals += "IX"
      num -= 9
   elif num == 4:
      numerals += "IV"
      num -= 4
   if num >= 5:
      numerals += "V"
      num -= 5
   numerals += num * "I"

   return numerals
def   _UpperCamelCase				(						lowerCAmelCase_ = "/p089_roman.txt"   )						->int:
   UpperCAmelCase							=     0

   with open(os.path.dirname(lowerCAmelCase_   ) + roman_numerals_filename   ) as filea:
      UpperCAmelCase							=     filea.readlines()

   for line in lines:
      UpperCAmelCase							=     line.strip()
      UpperCAmelCase							=     parse_roman_numerals(lowerCAmelCase_   )
      UpperCAmelCase							=     generate_roman_numerals(lowerCAmelCase_   )
      savings += len(lowerCAmelCase_   ) - len(lowerCAmelCase_   )

   return savings


if __name__ == "__main__":
 print(F"""{solution() = }""")







import multiprocessing
import time

from arguments import PretokenizationArguments
from datasets import load_dataset

from transformers import AutoTokenizer, HfArgumentParser
def   _UpperCamelCase				(						lowerCAmelCase_   )						->int:
   UpperCAmelCase							=     {}
   UpperCAmelCase							=     tokenizer(example["""content"""]  ,						truncation=lowerCAmelCase_   )["""input_ids"""]
   UpperCAmelCase							=     len(example["""content"""]   ) / len(output["""input_ids"""]   )
   return output


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

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

__a     =			time.time()
__a     =			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""")

__a     =			time.time()
ds.push_to_hub(args.tokenized_data_repo)







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



