



from typing import List, Optional, TypeVar

from .arrow_dataset import Dataset, _concatenate_map_style_datasets, _interleave_map_style_datasets
from .dataset_dict import DatasetDict, IterableDatasetDict
from .info import DatasetInfo
from .iterable_dataset import IterableDataset, _concatenate_iterable_datasets, _interleave_iterable_datasets
from .splits import NamedSplit
from .utils import logging
from .utils.py_utils import Literal


__snake_case						:List[Any]      		=     logging.get_logger(__name__)


__snake_case						:Tuple      		=     TypeVar('''DatasetType''', Dataset, IterableDataset)





def      __snake_case	(			_UpperCAmelCase   , _UpperCAmelCase = None   , _UpperCAmelCase = None   , _UpperCAmelCase = None   , _UpperCAmelCase = None   , _UpperCAmelCase = "first_exhausted"   , ):
    from .arrow_dataset import Dataset
    from .iterable_dataset import IterableDataset

    if not datasets:
        raise ValueError('''Unable to interleave an empty list of datasets.'''				)
    for i, dataset in enumerate(_UpperCAmelCase				):
        if not isinstance(_UpperCAmelCase   , (Dataset, IterableDataset)				):
            if isinstance(_UpperCAmelCase   , (DatasetDict, IterableDatasetDict)				):
                if not dataset:
                    raise ValueError(
                        f'Expected a list of Dataset objects or a list of IterableDataset objects, but element at position {i} '
                        '''is an empty dataset dictionary.'''				)
                raise ValueError(
                    f'Dataset at position {i} has at least one split: {list(_UpperCAmelCase				)}\n'
                    f'Please pick one to interleave with the other datasets, for example: dataset[\'{next(iter(_UpperCAmelCase				)				)}\']'				)
            raise ValueError(
                f'Expected a list of Dataset objects or a list of IterableDataset objects, but element at position {i} is a {type(_UpperCAmelCase				).__name__}.'				)
        if i == 0:
            __a       ,   __a						       =				(
                (Dataset, IterableDataset) if isinstance(_UpperCAmelCase   , _UpperCAmelCase				) else (IterableDataset, Dataset)
            )
        elif not isinstance(_UpperCAmelCase   , _UpperCAmelCase				):
            raise ValueError(
                f'Unable to interleave a {dataset_type.__name__} (at position 0) with a {other_type.__name__} (at position {i}). Expected a list of Dataset objects or a list of IterableDataset objects.'				)
    if stopping_strategy not in ["first_exhausted", "all_exhausted"]:
        raise ValueError(f'{stopping_strategy} is not supported. Please enter a valid stopping_strategy.'				)
    if dataset_type is Dataset:
        return _interleave_map_style_datasets(
            _UpperCAmelCase   , _UpperCAmelCase   , _UpperCAmelCase   , info=_UpperCAmelCase   , split=_UpperCAmelCase   , stopping_strategy=_UpperCAmelCase				)
    else:
        return _interleave_iterable_datasets(
            _UpperCAmelCase   , _UpperCAmelCase   , _UpperCAmelCase   , info=_UpperCAmelCase   , split=_UpperCAmelCase   , stopping_strategy=_UpperCAmelCase				)





def      __snake_case	(			_UpperCAmelCase   , _UpperCAmelCase = None   , _UpperCAmelCase = None   , _UpperCAmelCase = 0   , ):

    if not dsets:
        raise ValueError('''Unable to concatenate an empty list of datasets.'''				)
    for i, dataset in enumerate(_UpperCAmelCase				):
        if not isinstance(_UpperCAmelCase   , (Dataset, IterableDataset)				):
            if isinstance(_UpperCAmelCase   , (DatasetDict, IterableDatasetDict)				):
                if not dataset:
                    raise ValueError(
                        f'Expected a list of Dataset objects or a list of IterableDataset objects, but element at position {i} '
                        '''is an empty dataset dictionary.'''				)
                raise ValueError(
                    f'Dataset at position {i} has at least one split: {list(_UpperCAmelCase				)}\n'
                    f'Please pick one to interleave with the other datasets, for example: dataset[\'{next(iter(_UpperCAmelCase				)				)}\']'				)
            raise ValueError(
                f'Expected a list of Dataset objects or a list of IterableDataset objects, but element at position {i} is a {type(_UpperCAmelCase				).__name__}.'				)
        if i == 0:
            __a       ,   __a						       =				(
                (Dataset, IterableDataset) if isinstance(_UpperCAmelCase   , _UpperCAmelCase				) else (IterableDataset, Dataset)
            )
        elif not isinstance(_UpperCAmelCase   , _UpperCAmelCase				):
            raise ValueError(
                f'Unable to interleave a {dataset_type.__name__} (at position 0) with a {other_type.__name__} (at position {i}). Expected a list of Dataset objects or a list of IterableDataset objects.'				)
    if dataset_type is Dataset:
        return _concatenate_map_style_datasets(_UpperCAmelCase   , info=_UpperCAmelCase   , split=_UpperCAmelCase   , axis=_UpperCAmelCase				)
    else:
        return _concatenate_iterable_datasets(_UpperCAmelCase   , info=_UpperCAmelCase   , split=_UpperCAmelCase   , axis=_UpperCAmelCase				)












"""simple docstring"""
from __future__ import annotations

_snake_case     :		str       						= []






def 					A__				(			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 					A__				(			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 					A__				(			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     :		List[str]       						= 8
_snake_case     :		List[str]       						= [[0 for i in range(n)] for j in range(n)]
solve(board, 0)
print('The total no. of solutions are :', len(solution))


