






'''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


lowerCamelCase_												=					logging.get_logger(__name__)


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

def 					__lowercase						(			__lowercase   ,  __lowercase = None   ,  __lowercase = None   ,  __lowercase = None   ,  __lowercase = None   ,  __lowercase = "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(__lowercase       ):
            if not isinstance(__lowercase   ,  (Dataset, IterableDataset)       ):
                  if isinstance(__lowercase   ,  (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(__lowercase       )}\n'''
                            F'''Please pick one to interleave with the other datasets, for example: dataset[\'{next(iter(__lowercase       )       )}\']'''       )
                  raise ValueError(
                      F'''Expected a list of Dataset objects or a list of IterableDataset objects, but element at position {i} is a {type(__lowercase       ).__name__}.'''       )
            if i == 0:
                  _A     ,	_A			     =	(
                      (Dataset, IterableDataset) if isinstance(__lowercase   ,  __lowercase       ) else (IterableDataset, Dataset)
                  )
            elif not isinstance(__lowercase   ,  __lowercase       ):
                  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(
                __lowercase   ,  __lowercase   ,  __lowercase   ,  info=__lowercase   ,  split=__lowercase   ,  stopping_strategy=__lowercase       )
      else:
            return _interleave_iterable_datasets(
                __lowercase   ,  __lowercase   ,  __lowercase   ,  info=__lowercase   ,  split=__lowercase   ,  stopping_strategy=__lowercase       )


def 					__lowercase						(			__lowercase   ,  __lowercase = None   ,  __lowercase = None   ,  __lowercase = 0   ,  )       ->						DatasetType:

      '''simple docstring'''


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











import warnings

from ...utils import logging
from .image_processing_beit import BeitImageProcessor


_A     =			logging.get_logger(__name__)


class  A		(  __UpperCAmelCase     ):



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







								"""simple docstring"""



								warnings.warn(
								    '''The class BeitFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please'''
								    ''' use BeitImageProcessor instead.''',	UpperCamelCase__,	)
								super().__init__(*UpperCamelCase__,	**UpperCamelCase__   )




