

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


SCREAMING_SNAKE_CASE_            = logging.get_logger(__name__)


SCREAMING_SNAKE_CASE_            = TypeVar('DatasetType', Dataset, IterableDataset)

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





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





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





from __future__ import annotations

from random import choice

def 							__SCREAMING_SNAKE_CASE							(			lowerCAmelCase:					Any	)				->    Optional[int]:
				return choice(lowerCAmelCase	)

def 							__SCREAMING_SNAKE_CASE							(			lowerCAmelCase:					list[int]					, lowerCAmelCase:					int	)				->    int:
				_UpperCAmelCase    :						List[Any]							=      random_pivot(lowerCAmelCase	)

				# partition based on pivot
				# linear time
				_UpperCAmelCase    :						List[str]							=      [e for e in lst if e < pivot]
				_UpperCAmelCase    :						Any							=      [e for e in lst if e > pivot]

				# if we get lucky, pivot might be the element we want.
				# we can easily see this:
				# small (elements smaller than k)
				# + pivot (kth element)
				# + big (elements larger than k)
				if len(lowerCAmelCase	) == k - 1:
								return pivot
				# pivot is in elements bigger than k
				elif len(lowerCAmelCase	) < k - 1:
								return kth_number(lowerCAmelCase					, k - len(lowerCAmelCase	) - 1	)
				# pivot is in elements smaller than k
				else:
								return kth_number(lowerCAmelCase					, lowerCAmelCase	)


if __name__ == "__main__":
					import doctest

					doctest.testmod()


