import logging

from transformers.configuration_utils import PretrainedConfig


A     :  Union[str, Any]					     =       logging.getLogger(__name__)


class   lowerCamelCase					(SCREAMING_SNAKE_CASE__					):
  """simple docstring"""







  lowerCamelCase__     =						'''masked_bert'''







  def __init__(							self :       List[Any]  ,     __magic_name__ :       str=30_522  ,     __magic_name__ :       Any=768  ,     __magic_name__ :       List[str]=12  ,     __magic_name__ :       Union[str, Any]=12  ,     __magic_name__ :       str=3_072  ,     __magic_name__ :       Union[str, Any]="gelu"  ,     __magic_name__ :       Union[str, Any]=0.1  ,     __magic_name__ :       Dict=0.1  ,     __magic_name__ :       Any=512  ,     __magic_name__ :       Union[str, Any]=2  ,     __magic_name__ :       Optional[Any]=0.02  ,     __magic_name__ :       Tuple=1e-12  ,     __magic_name__ :       Union[str, Any]=0  ,     __magic_name__ :       Any="topK"  ,     __magic_name__ :       Optional[int]="constant"  ,     __magic_name__ :       Optional[int]=0.0  ,     **__magic_name__ :       Union[str, Any]  ,     )  ->	Union[str, Any]:
        super().__init__(pad_token_id=__magic_name__  ,     **__magic_name__   )

        SCREAMING_SNAKE_CASE_          =  vocab_size
        SCREAMING_SNAKE_CASE_          =  hidden_size
        SCREAMING_SNAKE_CASE_          =  num_hidden_layers
        SCREAMING_SNAKE_CASE_          =  num_attention_heads
        SCREAMING_SNAKE_CASE_          =  hidden_act
        SCREAMING_SNAKE_CASE_          =  intermediate_size
        SCREAMING_SNAKE_CASE_          =  hidden_dropout_prob
        SCREAMING_SNAKE_CASE_          =  attention_probs_dropout_prob
        SCREAMING_SNAKE_CASE_          =  max_position_embeddings
        SCREAMING_SNAKE_CASE_          =  type_vocab_size
        SCREAMING_SNAKE_CASE_          =  initializer_range
        SCREAMING_SNAKE_CASE_          =  layer_norm_eps
        SCREAMING_SNAKE_CASE_          =  pruning_method
        SCREAMING_SNAKE_CASE_          =  mask_init
        SCREAMING_SNAKE_CASE_          =  mask_scale



from typing import Optional
from urllib.parse import quote

import huggingface_hub as hfh
from packaging import version


def      a__ (		__UpperCamelCase     ,      __UpperCamelCase     ,      __UpperCamelCase = None				):
      if version.parse(hfh.__version__				).release < version.parse("0.11.0"				).release:
            # old versions of hfh don't url-encode the file path
            SCREAMING_SNAKE_CASE_          =  quote(__UpperCamelCase				)
      return hfh.hf_hub_url(__UpperCamelCase     ,      __UpperCamelCase     ,      repo_type="dataset"     ,      revision=__UpperCamelCase				)


