



import multiprocessing
import time

from arguments import PretokenizationArguments
from datasets import load_dataset

from transformers import AutoTokenizer, HfArgumentParser





def   __snake_case			(    _UpperCAmelCase       ):
    __a		 =       {}
    __a		 =       tokenizer(example['''content''']     ,				truncation=_UpperCAmelCase       )['''input_ids''']
    __a		 =       len(example['''content''']       ) / len(output['''input_ids''']       )
    return output


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

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

__snake_case		:Optional[Any]   	=  time.time()
__snake_case		:Optional[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')

__snake_case		: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')










from __future__ import annotations

__snake_case		:Optional[Any]   	=  []





def   __snake_case			(    _UpperCAmelCase     ,				_UpperCAmelCase     ,				_UpperCAmelCase       ):
    for i in range(len(_UpperCAmelCase       )       ):
        if board[row][i] == 1:
            return False
    for i in range(len(_UpperCAmelCase       )       ):
        if board[i][column] == 1:
            return False
    for i, j in zip(range(_UpperCAmelCase     ,				-1     ,				-1       )     ,				range(_UpperCAmelCase     ,				-1     ,				-1       )       ):
        if board[i][j] == 1:
            return False
    for i, j in zip(range(_UpperCAmelCase     ,				-1     ,				-1       )     ,				range(_UpperCAmelCase     ,				len(_UpperCAmelCase       )       )       ):
        if board[i][j] == 1:
            return False
    return True





def   __snake_case			(    _UpperCAmelCase     ,				_UpperCAmelCase       ):
    if row >= len(_UpperCAmelCase       ):
        solution.append(_UpperCAmelCase       )
        printboard(_UpperCAmelCase       )
        print()
        return True
    for i in range(len(_UpperCAmelCase       )       ):
        if is_safe(_UpperCAmelCase     ,				_UpperCAmelCase     ,				_UpperCAmelCase       ):
            __a		 =       1
            solve(_UpperCAmelCase     ,				row + 1       )
            __a		 =       0
    return False





def   __snake_case			(    _UpperCAmelCase       ):
    for i in range(len(_UpperCAmelCase       )       ):
        for j in range(len(_UpperCAmelCase       )       ):
            if board[i][j] == 1:
                print('''Q'''     ,				end=''' '''       )
            else:
                print('''.'''     ,				end=''' '''       )
        print()


# n=int(input("The no. of queens"))
__snake_case		:Optional[Any]   	=  8
__snake_case		:Tuple   	=  [[0 for i in range(n)] for j in range(n)]
solve(board, 0)
print('''The total no. of solutions are :''', len(solution))





