"""simple docstring"""







from ... import PretrainedConfig


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







class  UpperCamelCase	(    lowercase_						):
   lowercase							=						NEZHA_PRETRAINED_CONFIG_ARCHIVE_MAP
   lowercase							=						'nezha'
   def __init__(    self  ,__UpperCamelCase=2_1128  ,__UpperCamelCase=768  ,__UpperCamelCase=12  ,__UpperCamelCase=12  ,__UpperCamelCase=3072  ,__UpperCamelCase="gelu"  ,__UpperCamelCase=0.1  ,__UpperCamelCase=0.1  ,__UpperCamelCase=512  ,__UpperCamelCase=64  ,__UpperCamelCase=2  ,__UpperCamelCase=0.02  ,__UpperCamelCase=1e-12  ,__UpperCamelCase=0.1  ,__UpperCamelCase=0  ,__UpperCamelCase=2  ,__UpperCamelCase=3  ,__UpperCamelCase=True  ,**__UpperCamelCase  ,)			->   str:


        '''simple docstring'''


        super().__init__(pad_token_id=__UpperCamelCase  ,bos_token_id=__UpperCamelCase  ,eos_token_id=__UpperCamelCase  ,**__UpperCamelCase    )

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


"""simple docstring"""







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

__SCREAMING_SNAKE_CASE								="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

__SCREAMING_SNAKE_CASE								=concatenate_datasets
__SCREAMING_SNAKE_CASE								=DownloadConfig
__SCREAMING_SNAKE_CASE								=DownloadManager
__SCREAMING_SNAKE_CASE								=DownloadMode
__SCREAMING_SNAKE_CASE								=DownloadConfig
__SCREAMING_SNAKE_CASE								=DownloadMode
__SCREAMING_SNAKE_CASE								=DownloadManager

del _arrow_dataset, _utils, _deprecated_download_manager

