





import multiprocessing
import time

from arguments import PretokenizationArguments
from datasets import load_dataset

from transformers import AutoTokenizer, HfArgumentParser





def      _lowercase					(						_UpperCAmelCase				)						->  Union[str, Any]:
				lowerCamelCase	 ={}
				lowerCamelCase	 =tokenizer(example["""content"""]			,      truncation=_UpperCAmelCase				)["""input_ids"""]
				lowerCamelCase	 =len(example["""content"""]				) / len(output["""input_ids"""]				)
				return output


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

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

UpperCAmelCase__						:			str									=time.time()
UpperCAmelCase__						:			Union[str, 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")

UpperCAmelCase__						:			Dict									=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 typing import List

from .keymap import KEYMAP, get_character





def      _lowercase					(						_UpperCAmelCase				)						->  Tuple:

				def decorator(_UpperCAmelCase				):
								lowerCamelCase	 =getattr(_UpperCAmelCase			,      """handle_key"""			,      []				)
								handle += [key]
								setattr(_UpperCAmelCase			,      """handle_key"""			,      _UpperCAmelCase				)
								return func

				return decorator





def      _lowercase					(						*_UpperCAmelCase				)						->  Tuple:

				def decorator(_UpperCAmelCase				):
								lowerCamelCase	 =getattr(_UpperCAmelCase			,      """handle_key"""			,      []				)
								handle += keys
								setattr(_UpperCAmelCase			,      """handle_key"""			,      _UpperCAmelCase				)
								return func

				return decorator

class       __A     (						a    ):


				def __new__(		cls   , UpperCAmelCase_   , UpperCAmelCase_   , UpperCAmelCase_							):
								lowerCamelCase	 =super().__new__(cls   , UpperCAmelCase_   , UpperCAmelCase_   , UpperCAmelCase_							)
								if not hasattr(UpperCAmelCase_   , """key_handler"""							):
												setattr(UpperCAmelCase_   , """key_handler"""   , {}							)
								setattr(UpperCAmelCase_   , """handle_input"""   , KeyHandler.handle_input							)

								for value in attrs.values():
												lowerCamelCase	 =getattr(UpperCAmelCase_   , """handle_key"""   , []							)
												for key in handled_keys:
																lowerCamelCase	 =value
								return new_cls


				@staticmethod
				def _snake_case       (		cls							):
								lowerCamelCase	 =get_character()
								if char != KEYMAP["undefined"]:
												lowerCamelCase	 =ord(UpperCAmelCase_							)
								lowerCamelCase	 =cls.key_handler.get(UpperCAmelCase_							)
								if handler:
												lowerCamelCase	 =char
												return handler(cls							)
								else:
												return None





def      _lowercase					(						cls				)						->  List[str]:
				return KeyHandler(cls.__name__			,      cls.__bases__			,      cls.__dict__.copy()				)





