

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





def 	lowercase      (   __UpperCamelCase      ,   __UpperCamelCase = None      ,   __UpperCamelCase = None      ,   __UpperCamelCase = 0      ,   ) ->      Optional[int]:

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




"""simple docstring"""






import unittest

from transformers import is_torch_available
from transformers.testing_utils import require_sentencepiece, require_tokenizers, require_torch, slow, torch_device


if is_torch_available():
 from transformers import AutoModelForSeqaSeqLM, AutoTokenizer
@require_torch
@require_sentencepiece
@require_tokenizers
class        _lowercase					(     unittest.TestCase     ):







     @slow
     def 	lowerCAmelCase__    (      self       ):
      __magic_name__     =      AutoModelForSeqaSeqLM.from_pretrained('''google/mt5-small''' ,						return_dict=UpperCamelCase_       ).to(UpperCamelCase_       )
      __magic_name__     =      AutoTokenizer.from_pretrained('''google/mt5-small'''       )

      __magic_name__     =      tokenizer('''Hello there''' ,						return_tensors='''pt'''       ).input_ids
      __magic_name__     =      tokenizer('''Hi I am''' ,						return_tensors='''pt'''       ).input_ids

      __magic_name__     =      model(input_ids.to(UpperCamelCase_       ) ,						labels=labels.to(UpperCamelCase_       )       ).loss
      __magic_name__     =      -(labels.shape[-1] * loss.item())

      __magic_name__     =      -8_4.9_1_2_7
      self.assertTrue(abs(mtf_score - EXPECTED_SCORE       ) < 1E-4       )

