




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


UpperCamelCase__ :   Optional[Any]						=							logging.get_logger(__name__)


UpperCamelCase__ :   int						=							TypeVar('''DatasetType''', Dataset, IterableDataset)





def        __UpperCAmelCase						(							lowerCamelCase_ :     List[DatasetType]  ,							lowerCamelCase_ :     Optional[List[float]] = None  ,							lowerCamelCase_ :     Optional[int] = None  ,							lowerCamelCase_ :     Optional[DatasetInfo] = None  ,							lowerCamelCase_ :     Optional[NamedSplit] = None  ,							lowerCamelCase_ :     Literal["first_exhausted", "all_exhausted"] = "first_exhausted"  ,							)       ->  DatasetType:







			"""simple docstring"""





			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(lowerCamelCase_  ):
						if not isinstance(lowerCamelCase_  ,							(Dataset, IterableDataset)  ):
									if isinstance(lowerCamelCase_  ,							(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(lowerCamelCase_  )}\n'
												    F'Please pick one to interleave with the other datasets, for example: dataset[\'{next(iter(lowerCamelCase_  )  )}\']'  )
									raise ValueError(
									    F'Expected a list of Dataset objects or a list of IterableDataset objects, but element at position {i} is a {type(lowerCamelCase_  ).__name__}.'  )
						if i == 0:
									SCREAMING_SNAKE_CASE_  ,    SCREAMING_SNAKE_CASE_   : Dict					  =      (
									    (Dataset, IterableDataset) if isinstance(lowerCamelCase_  ,							lowerCamelCase_  ) else (IterableDataset, Dataset)
									)
						elif not isinstance(lowerCamelCase_  ,							lowerCamelCase_  ):
									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(
						    lowerCamelCase_  ,							lowerCamelCase_  ,							lowerCamelCase_  ,							info=lowerCamelCase_  ,							split=lowerCamelCase_  ,							stopping_strategy=lowerCamelCase_  )
			else:
						return _interleave_iterable_datasets(
						    lowerCamelCase_  ,							lowerCamelCase_  ,							lowerCamelCase_  ,							info=lowerCamelCase_  ,							split=lowerCamelCase_  ,							stopping_strategy=lowerCamelCase_  )





def        __UpperCAmelCase						(							lowerCamelCase_ :     List[DatasetType]  ,							lowerCamelCase_ :     Optional[DatasetInfo] = None  ,							lowerCamelCase_ :     Optional[NamedSplit] = None  ,							lowerCamelCase_ :     int = 0  ,							)       ->  DatasetType:







			"""simple docstring"""





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











"""simple docstring"""
def       __UpperCamelCase						(		snake_case__ = 200       ):
	A_		:    Union[str, Any]						     = [1, 2, 5, 10, 20, 50, 100, 200]
	A_		:    int						     = [0] * (pence + 1)
	A_		:    Tuple						     = 1  # base case: 1 way to make 0 pence

	for coin in coins:
		for i in range(snake_case__ , pence + 1 , 1       ):
			number_of_ways[i] += number_of_ways[i - coin]
	return number_of_ways[pence]


if __name__ == "__main__":
							assert solution(200) == 73_682

