




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__			:    int			     =      logging.get_logger(__name__)


snake_case__			:    str			     =      TypeVar('''DatasetType''', Dataset, IterableDataset)


def     lowercase		(  _lowerCAmelCase ,  _lowerCAmelCase = None ,  _lowerCAmelCase = None ,  _lowerCAmelCase = None ,  _lowerCAmelCase = None ,  _lowerCAmelCase = "first_exhausted" ,  ):
  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__         = (
          (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     lowercase		(  _lowerCAmelCase ,  _lowerCAmelCase = None ,  _lowerCAmelCase = None ,  _lowerCAmelCase = 0 ,  ):

  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__         = (
          (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"""
from .glue import glue_convert_examples_to_features, glue_output_modes, glue_processors, glue_tasks_num_labels
from .squad import SquadExample, SquadFeatures, SquadVaProcessor, SquadVaProcessor, squad_convert_examples_to_features
from .utils import DataProcessor, InputExample, InputFeatures, SingleSentenceClassificationProcessor
from .xnli import xnli_output_modes, xnli_processors, xnli_tasks_num_labels

