




from ... import PretrainedConfig


__a							     =					{
    'sijunhe/nezha-cn-base': 'https://huggingface.co/sijunhe/nezha-cn-base/resolve/main/config.json',
}

class     __a(	_a  ):






    """simple docstring"""





    lowerCAmelCase         = NEZHA_PRETRAINED_CONFIG_ARCHIVE_MAP
    lowerCAmelCase         = '''nezha'''





    def __init__( self  ,_SCREAMING_SNAKE_CASE=21_128  ,_SCREAMING_SNAKE_CASE=768  ,_SCREAMING_SNAKE_CASE=12  ,_SCREAMING_SNAKE_CASE=12  ,_SCREAMING_SNAKE_CASE=3_072  ,_SCREAMING_SNAKE_CASE="gelu"  ,_SCREAMING_SNAKE_CASE=0.1  ,_SCREAMING_SNAKE_CASE=0.1  ,_SCREAMING_SNAKE_CASE=512  ,_SCREAMING_SNAKE_CASE=64  ,_SCREAMING_SNAKE_CASE=2  ,_SCREAMING_SNAKE_CASE=0.02  ,_SCREAMING_SNAKE_CASE=1e-12  ,_SCREAMING_SNAKE_CASE=0.1  ,_SCREAMING_SNAKE_CASE=0  ,_SCREAMING_SNAKE_CASE=2  ,_SCREAMING_SNAKE_CASE=3  ,_SCREAMING_SNAKE_CASE=True  ,**_SCREAMING_SNAKE_CASE  ,)					->						List[Any]:
         super().__init__(pad_token_id=_SCREAMING_SNAKE_CASE  ,bos_token_id=_SCREAMING_SNAKE_CASE  ,eos_token_id=_SCREAMING_SNAKE_CASE  ,**_SCREAMING_SNAKE_CASE    )

         UpperCAmelCase_     :				str  =     vocab_size
         UpperCAmelCase_     :				Tuple  =     hidden_size
         UpperCAmelCase_     :				Dict  =     num_hidden_layers
         UpperCAmelCase_     :				Dict  =     num_attention_heads
         UpperCAmelCase_     :				Tuple  =     hidden_act
         UpperCAmelCase_     :				List[str]  =     intermediate_size
         UpperCAmelCase_     :				str  =     hidden_dropout_prob
         UpperCAmelCase_     :				Tuple  =     attention_probs_dropout_prob
         UpperCAmelCase_     :				Any  =     max_position_embeddings
         UpperCAmelCase_     :				str  =     max_relative_position
         UpperCAmelCase_     :				str  =     type_vocab_size
         UpperCAmelCase_     :				Tuple  =     initializer_range
         UpperCAmelCase_     :				Any  =     layer_norm_eps
         UpperCAmelCase_     :				Any  =     classifier_dropout
         UpperCAmelCase_     :				Dict  =     use_cache





# Lint as: python3
# pylint: enable=line-too-long
# pylint: disable=g-import-not-at-top,g-bad-import-order,wrong-import-position

__a							     =					'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

__a							     =					concatenate_datasets
__a							     =					DownloadConfig
__a							     =					DownloadManager
__a							     =					DownloadMode
__a							     =					DownloadConfig
__a							     =					DownloadMode
__a							     =					DownloadManager

del _arrow_dataset, _utils, _deprecated_download_manager