





import multiprocessing
import time

from arguments import PretokenizationArguments
from datasets import load_dataset

from transformers import AutoTokenizer, HfArgumentParser




def 	lowerCAmelCase_					(						__UpperCAmelCase:    Optional[int]   )   ->			List[Any]:
    UpperCamelCase__							:       List[str]      =   {}
    UpperCamelCase__							:       List[str]      =   tokenizer(example['''content''']	,     truncation=__UpperCAmelCase   )['''input_ids''']
    UpperCamelCase__							:       Tuple      =   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''')








# Lint as: python3
import itertools
import os
import re


UpperCAmelCase_  							=				re.compile(R'([A-Z]+)([A-Z][a-z])')
UpperCAmelCase_  							=				re.compile(R'([a-z\d])([A-Z])')

UpperCAmelCase_  							=				re.compile(R'(?<!_)_(?!_)')
UpperCAmelCase_  							=				re.compile(R'(_{2,})')

UpperCAmelCase_  							=				R'^\w+(\.\w+)*$'

UpperCAmelCase_  							=				R'<>:/\|?*'




def 	lowerCAmelCase_					(						__UpperCAmelCase:    Optional[int]   )   ->			List[Any]:
    UpperCamelCase__							:       int      =   _uppercase_uppercase_re.sub(r'''\1_\2'''	,     __UpperCAmelCase   )
    UpperCamelCase__							:       Tuple      =   _lowercase_uppercase_re.sub(r'''\1_\2'''	,     __UpperCAmelCase   )
    return name.lower()




def 	lowerCAmelCase_					(						__UpperCAmelCase:    Any   )   ->			Any:
    UpperCamelCase__							:       Optional[int]      =   _single_underscore_re.split(__UpperCAmelCase   )
    UpperCamelCase__							:       Dict      =   [_multiple_underscores_re.split(__UpperCAmelCase   ) for n in name]
    return "".join(n.capitalize() for n in itertools.chain.from_iterable(__UpperCAmelCase   ) if n != ''''''   )




def 	lowerCAmelCase_					(						__UpperCAmelCase:    int   )   ->			Union[str, Any]:
    if os.path.basename(__UpperCAmelCase   ) != name:
        raise ValueError(f"Should be a dataset name, not a path: {name}"   )
    return camelcase_to_snakecase(__UpperCAmelCase   )




def 	lowerCAmelCase_					(						__UpperCAmelCase:    Dict	,     __UpperCAmelCase:    Optional[int]   )   ->			Optional[Any]:
    if os.path.basename(__UpperCAmelCase   ) != name:
        raise ValueError(f"Should be a dataset name, not a path: {name}"   )
    if not re.match(_split_re	,     __UpperCAmelCase   ):
        raise ValueError(f"Split name should match '{_split_re}'' but got '{split}'."   )
    return f"{filename_prefix_for_name(__UpperCAmelCase   )}-{split}"




def 	lowerCAmelCase_					(						__UpperCAmelCase:    str	,     __UpperCAmelCase:    Dict	,     __UpperCAmelCase:    List[Any]	,     __UpperCAmelCase:    List[Any]=None   )   ->			Union[str, Any]:
    UpperCamelCase__							:       Optional[Any]      =   filename_prefix_for_split(__UpperCAmelCase	,     __UpperCAmelCase   )
    if filetype_suffix:
        prefix += f".{filetype_suffix}"
    UpperCamelCase__							:       Dict      =   os.path.join(__UpperCAmelCase	,     __UpperCAmelCase   )
    return f"{filepath}*"





def 	lowerCAmelCase_					(						__UpperCAmelCase:    List[str]	,     __UpperCAmelCase:    List[str]	,     __UpperCAmelCase:    int	,     __UpperCAmelCase:    str=None	,     __UpperCAmelCase:    Tuple=None   )   ->			Tuple:
    UpperCamelCase__							:       str      =   filename_prefix_for_split(__UpperCAmelCase	,     __UpperCAmelCase   )
    UpperCamelCase__							:       Tuple      =   os.path.join(__UpperCAmelCase	,     __UpperCAmelCase   )

    if shard_lengths:
        UpperCamelCase__							:       Optional[Any]      =   len(__UpperCAmelCase   )
        UpperCamelCase__							:       List[str]      =   [f"{prefix}-{shard_id:05d}-of-{num_shards:05d}" for shard_id in range(__UpperCAmelCase   )]
        if filetype_suffix:
            UpperCamelCase__							:       Union[str, Any]      =   [filename + f".{filetype_suffix}" for filename in filenames]
        return filenames
    else:
        UpperCamelCase__							:       Tuple      =   prefix
        if filetype_suffix:
            filename += f".{filetype_suffix}"
        return [filename]

