





'''simple docstring'''
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							   =  logging.get_logger(__name__)


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


def     a   (    __a				,      __a = None				,      __a = None				,      __a = None				,      __a = None				,      __a = "first_exhausted"				,      )						->			int:



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







def     a   (    __a				,      __a = None				,      __a = None				,      __a = 0				,      )						->			Optional[int]:



					'''simple docstring'''






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



'''simple docstring'''
class      lowercase			:

		"""simple docstring"""

		def __init__(	self					,     UpperCamelCase_							):

							'''simple docstring'''


							UpperCamelCase__     :Union[str, Any]							      =				n
							UpperCamelCase__     :Tuple							      =				[None] * self.n
							UpperCamelCase__     :str							      =				0  # index of the first element
							UpperCamelCase__     :List[Any]							      =				0
							UpperCamelCase__     :Dict							      =				0




		def __len__(	self							):

							'''simple docstring'''


							return self.size




		def 					lowerCAmelCase__       (	self							):

							'''simple docstring'''


							return self.size == 0




		def 					lowerCAmelCase__       (	self							):

							'''simple docstring'''


							return False if self.is_empty() else self.array[self.front]




		def 					lowerCAmelCase__       (	self					,     UpperCamelCase_							):

							'''simple docstring'''


							if self.size >= self.n:
												raise Exception('''QUEUE IS FULL'''							)

							UpperCamelCase__     :List[Any]							      =				data
							UpperCamelCase__     :List[Any]							      =				(self.rear + 1) % self.n
							self.size += 1
							return self




		def 					lowerCAmelCase__       (	self							):

							'''simple docstring'''


							if self.size == 0:
												raise Exception('''UNDERFLOW'''							)

							UpperCamelCase__     :Dict							      =				self.array[self.front]
							UpperCamelCase__     :Union[str, Any]							      =				None
							UpperCamelCase__     :Union[str, Any]							      =				(self.front + 1) % self.n
							self.size -= 1
							return temp