import logging
from dataclasses import dataclass, field
from pathlib import Path
from typing import Optional, Union

from .generation.configuration_utils import GenerationConfig
from .training_args import TrainingArguments
from .utils import add_start_docstrings


UpperCAmelCase_			    =							logging.getLogger(__name__)




@dataclass
@add_start_docstrings(TrainingArguments.__doc__    )
class  __magic_name__  (		__a    ):





   """simple docstring"""




   lowerCAmelCase      :    bool  			=   field(default=__a      ,	metadata={'''help''': '''Whether to use SortishSampler or not.'''}    )
   lowerCAmelCase      :    bool  			=   field(
       default=__a      ,	metadata={'''help''': '''Whether to use generate to calculate generative metrics (ROUGE, BLEU).'''}    )
   lowerCAmelCase      :    Optional[int]  			=   field(
       default=__a      ,	metadata={
           '''help''': (
               '''The `max_length` to use on each evaluation loop when `predict_with_generate=True`. Will default '''
               '''to the `max_length` value of the model configuration.'''
           )
       }      ,	)
   lowerCAmelCase      :    Optional[int]  			=   field(
       default=__a      ,	metadata={
           '''help''': (
               '''The `num_beams` to use on each evaluation loop when `predict_with_generate=True`. Will default '''
               '''to the `num_beams` value of the model configuration.'''
           )
       }      ,	)
   lowerCAmelCase      :    Optional[Union[str, Path, GenerationConfig]]  			=   field(
       default=__a      ,	metadata={
           '''help''': '''Model id, file path or url pointing to a GenerationConfig json file, to use during prediction.'''
       }      ,	)



   def   lowerCAmelCase						(	self					:  int							):



    """simple docstring"""



    _UpperCamelCase:     Optional[Any]							= super().to_dict()
    for k, v in d.items():
     if isinstance(_lowercase		,  _lowercase							):
      _UpperCamelCase:     str							= v.to_dict()
    return d
# Lint as: python3
# pylint: enable=line-too-long
# pylint: disable=g-import-not-at-top,g-bad-import-order,wrong-import-position

UpperCAmelCase_			    =							'''2.13.1'''

import platform

import pyarrow
from packaging import version


if version.parse(platform.python_version()) < version.parse('''3.7'''):
  raise ImportWarning(
      '''To use `datasets`, Python>=3.7 is required, and the current version of Python doesn\'t match this condition.'''
  )

if version.parse(pyarrow.__version__).major < 8:
  raise ImportWarning(
      '''To use `datasets`, the module `pyarrow>=8.0.0` is required, and the current version of `pyarrow` doesn\'t match this condition.\n'''
      '''If you are running this in a Google Colab, you should probably just restart the runtime to use the right version of `pyarrow`.'''
  )

del platform
del pyarrow
del version

from .arrow_dataset import Dataset
from .arrow_reader import ReadInstruction
from .builder import ArrowBasedBuilder, BeamBasedBuilder, BuilderConfig, DatasetBuilder, GeneratorBasedBuilder
from .combine import concatenate_datasets, interleave_datasets
from .dataset_dict import DatasetDict, IterableDatasetDict
from .download import *
from .features import *
from .fingerprint import disable_caching, enable_caching, is_caching_enabled, set_caching_enabled
from .info import DatasetInfo, MetricInfo
from .inspect import (
    get_dataset_config_info,
    get_dataset_config_names,
    get_dataset_infos,
    get_dataset_split_names,
    inspect_dataset,
    inspect_metric,
    list_datasets,
    list_metrics,
)
from .iterable_dataset import IterableDataset
from .load import load_dataset, load_dataset_builder, load_from_disk, load_metric
from .metric import Metric
from .splits import (
    NamedSplit,
    NamedSplitAll,
    Split,
    SplitBase,
    SplitDict,
    SplitGenerator,
    SplitInfo,
    SubSplitInfo,
    percent,
)
from .tasks import *
from .utils import *
from .utils import logging


# deprecated modules
from datasets import arrow_dataset as _arrow_dataset  # isort:skip
from datasets import utils as _utils  # isort:skip
from datasets.utils import download_manager as _deprecated_download_manager  # isort:skip

UpperCAmelCase_			    =							concatenate_datasets
UpperCAmelCase_			    =							DownloadConfig
UpperCAmelCase_			    =							DownloadManager
UpperCAmelCase_			    =							DownloadMode
UpperCAmelCase_			    =							DownloadConfig
UpperCAmelCase_			    =							DownloadMode
UpperCAmelCase_			    =							DownloadManager

del _arrow_dataset, _utils, _deprecated_download_manager