


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    __UpperCAmelCase(      lowercase_ ,    lowercase_ = None ,    lowercase_ = None ,    lowercase_ = None ,    lowercase_ = None ,    lowercase_ = "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(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:
                     _lowerCamelCase,  _lowerCamelCase							:     Dict	=		(
                         (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    __UpperCAmelCase(      lowercase_ ,    lowercase_ = None ,    lowercase_ = None ,    lowercase_ = 0 ,    ):

       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:
                     _lowerCamelCase,  _lowerCamelCase							:     Dict	=		(
                         (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 .generation import TFGenerationMixin







class 			__A       (      lowerCamelCase__  ):




      """simple docstring"""







      warnings.warn(
          """Importing `TFGenerationMixin` from `src/transformers/generation_tf_utils.py` is deprecated and will """
          """be removed in Transformers v5. Import as `from transformers import TFGenerationMixin` instead.""" ,lowerCamelCase__ ,)

