

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(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:
												_UpperCAmelCase       :		str 		=    (
												    (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 							__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(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:
												_UpperCAmelCase       :		str 		=    (
												    (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 )





import warnings

from ...utils import logging
from .image_processing_deformable_detr import DeformableDetrImageProcessor


SCREAMING_SNAKE_CASE_        =      logging.get_logger(__name__)

class 				a  (	UpperCAmelCase				):


						def __init__(       self						,					*A_						,					**A_	):







										'''simple docstring'''


										warnings.warn(
										    "The class DeformableDetrFeatureExtractor is deprecated and will be removed in version 5 of Transformers."
										    " Please use DeformableDetrImageProcessor instead."						,					A_						,					)
										super().__init__(*A_						,					**A_	)


