






# Lint as: python3
import itertools
import os
import re


UpperCamelCase    							=      re.compile(r'([A-Z]+)([A-Z][a-z])')
UpperCamelCase    							=      re.compile(r'([a-z\d])([A-Z])')

UpperCamelCase    							=      re.compile(r'(?<!_)_(?!_)')
UpperCamelCase    							=      re.compile(r'(_{2,})')

UpperCamelCase    							=      r'^\w+(\.\w+)*$'

UpperCamelCase    							=      r'<>:/\|?*'


def 				__lowerCamelCase     (							__lowerCAmelCase							:					List[Any]							)     ->  Dict:
   __UpperCamelCase	:			Optional[int]					=					_uppercase_uppercase_re.sub(R"""\1_\2"""					,							__lowerCAmelCase							)
   __UpperCamelCase	:			Optional[int]					=					_lowercase_uppercase_re.sub(R"""\1_\2"""					,							__lowerCAmelCase							)
   return name.lower()


def 				__lowerCamelCase     (							__lowerCAmelCase							:					List[str]							)     ->  List[str]:
   __UpperCamelCase	:			List[Any]					=					_single_underscore_re.split(__lowerCAmelCase							)
   __UpperCamelCase	:			Optional[int]					=					[_multiple_underscores_re.split(__lowerCAmelCase							) for n in name]
   return "".join(n.capitalize() for n in itertools.chain.from_iterable(__lowerCAmelCase							) if n != """"""							)


def 				__lowerCamelCase     (							__lowerCAmelCase							:					Dict							)     ->  List[str]:
   if os.path.basename(__lowerCAmelCase							) != name:
      raise ValueError(f'Should be a dataset name, not a path: {name}'							)
   return camelcase_to_snakecase(__lowerCAmelCase							)


def 				__lowerCamelCase     (							__lowerCAmelCase							:					List[Any]					,							__lowerCAmelCase							:					Optional[int]							)     ->  List[str]:
   if os.path.basename(__lowerCAmelCase							) != name:
      raise ValueError(f'Should be a dataset name, not a path: {name}'							)
   if not re.match(_split_re					,							__lowerCAmelCase							):
      raise ValueError(f'Split name should match \'{_split_re}\'\' but got \'{split}\'.'							)
   return f'{filename_prefix_for_name(__lowerCAmelCase							)}-{split}'


def 				__lowerCamelCase     (							__lowerCAmelCase							:					int					,							__lowerCAmelCase							:					List[Any]					,							__lowerCAmelCase							:					str					,							__lowerCAmelCase							:					int=None							)     ->  Tuple:
   __UpperCamelCase	:			List[Any]					=					filename_prefix_for_split(__lowerCAmelCase					,							__lowerCAmelCase							)
   if filetype_suffix:
      prefix += f'.{filetype_suffix}'
   __UpperCamelCase	:			Optional[Any]					=					os.path.join(__lowerCAmelCase					,							__lowerCAmelCase							)
   return f'{filepath}*'



def 				__lowerCamelCase     (							__lowerCAmelCase							:					List[str]					,							__lowerCAmelCase							:					str					,							__lowerCAmelCase							:					List[str]					,							__lowerCAmelCase							:					Optional[Any]=None					,							__lowerCAmelCase							:					List[str]=None							)     ->  int:
   __UpperCamelCase	:			int					=					filename_prefix_for_split(__lowerCAmelCase					,							__lowerCAmelCase							)
   __UpperCamelCase	:			Optional[int]					=					os.path.join(__lowerCAmelCase					,							__lowerCAmelCase							)

   if shard_lengths:
      __UpperCamelCase	:			Tuple					=					len(__lowerCAmelCase							)
      __UpperCamelCase	:			int					=					[f'{prefix}-{shard_id:05d}-of-{num_shards:05d}' for shard_id in range(__lowerCAmelCase							)]
      if filetype_suffix:
         __UpperCamelCase	:			List[str]					=					[filename + f'.{filetype_suffix}' for filename in filenames]
      return filenames
   else:
      __UpperCamelCase	:			str					=					prefix
      if filetype_suffix:
         filename += f'.{filetype_suffix}'
      return [filename]











from . import (
    albert,
    align,
    altclip,
    audio_spectrogram_transformer,
    auto,
    autoformer,
    bark,
    bart,
    barthez,
    bartpho,
    beit,
    bert,
    bert_generation,
    bert_japanese,
    bertweet,
    big_bird,
    bigbird_pegasus,
    biogpt,
    bit,
    blenderbot,
    blenderbot_small,
    blip,
    blip_a,
    bloom,
    bridgetower,
    byta,
    camembert,
    canine,
    chinese_clip,
    clap,
    clip,
    clipseg,
    codegen,
    conditional_detr,
    convbert,
    convnext,
    convnextva,
    cpm,
    cpmant,
    ctrl,
    cvt,
    dataavec,
    deberta,
    deberta_va,
    decision_transformer,
    deformable_detr,
    deit,
    deprecated,
    deta,
    detr,
    dialogpt,
    dinat,
    distilbert,
    dit,
    donut,
    dpr,
    dpt,
    efficientformer,
    efficientnet,
    electra,
    encodec,
    encoder_decoder,
    ernie,
    ernie_m,
    esm,
    falcon,
    flaubert,
    flava,
    fnet,
    focalnet,
    fsmt,
    funnel,
    git,
    glpn,
    gpta,
    gpt_bigcode,
    gpt_neo,
    gpt_neox,
    gpt_neox_japanese,
    gpt_swa,
    gptj,
    gptsan_japanese,
    graphormer,
    groupvit,
    herbert,
    hubert,
    ibert,
    imagegpt,
    informer,
    instructblip,
    jukebox,
    layoutlm,
    layoutlmva,
    layoutlmva,
    layoutxlm,
    led,
    levit,
    lilt,
    llama,
    longformer,
    longta,
    luke,
    lxmert,
    mam_aaa,
    marian,
    markuplm,
    maskaformer,
    maskformer,
    mbart,
    mbartaa,
    mega,
    megatron_bert,
    megatron_gpta,
    mgp_str,
    mluke,
    mobilebert,
    mobilenet_va,
    mobilenet_va,
    mobilevit,
    mobilevitva,
    mpnet,
    mra,
    mta,
    musicgen,
    mvp,
    nat,
    nezha,
    nllb,
    nllb_moe,
    nystromformer,
    oneformer,
    open_llama,
    openai,
    opt,
    owlvit,
    pegasus,
    pegasus_x,
    perceiver,
    phobert,
    pixastruct,
    plbart,
    poolformer,
    prophetnet,
    qdqbert,
    rag,
    realm,
    reformer,
    regnet,
    rembert,
    resnet,
    roberta,
    roberta_prelayernorm,
    roc_bert,
    roformer,
    rwkv,
    sam,
    segformer,
    sew,
    sew_d,
    speech_encoder_decoder,
    speech_to_text,
    speech_to_text_a,
    speechta,
    splinter,
    squeezebert,
    swiftformer,
    swin,
    swinasr,
    swinva,
    switch_transformers,
    ta,
    table_transformer,
    tapas,
    time_series_transformer,
    timesformer,
    timm_backbone,
    transfo_xl,
    trocr,
    tvlt,
    umta,
    unispeech,
    unispeech_sat,
    upernet,
    videomae,
    vilt,
    vision_encoder_decoder,
    vision_text_dual_encoder,
    visual_bert,
    vit,
    vit_hybrid,
    vit_mae,
    vit_msn,
    vivit,
    wavaveca,
    wavaveca_conformer,
    wavaveca_phoneme,
    wavaveca_with_lm,
    wavlm,
    whisper,
    x_clip,
    xglm,
    xlm,
    xlm_prophetnet,
    xlm_roberta,
    xlm_roberta_xl,
    xlnet,
    xmod,
    yolos,
    yoso,
)



