

from ...configuration_utils import PretrainedConfig
from ...utils import logging


A__        =			logging.get_logger(__name__)

A__        =			{
    "google/reformer-crime-and-punishment": (
        "https://huggingface.co/google/reformer-crime-and-punishment/resolve/main/config.json"
    ),
    "google/reformer-enwik8": "https://huggingface.co/google/reformer-enwik8/resolve/main/config.json",
}







class    UpperCamelCase_			(  _snake_case			):


  """simple docstring"""
  SCREAMING_SNAKE_CASE__				: int										=      """reformer"""
  SCREAMING_SNAKE_CASE__				: int										=      ["""past_buckets_states"""]
  SCREAMING_SNAKE_CASE__				: Any										=      {}



  def __init__(	self    :				List[Any]     ,  A_    :				int=64     ,  A_    :				List[str]=["local", "lsh", "local", "lsh", "local", "lsh"]     ,  A_    :				Dict=1.0     ,  A_    :				Optional[Any]=True     ,  A_    :				str=[64, 64]     ,  A_    :				List[str]=[64, 192]     ,  A_    :				str=0     ,  A_    :				Optional[int]=2     ,  A_    :				Optional[int]=512     ,  A_    :				Any=None     ,  A_    :				Union[str, Any]="relu"     ,  A_    :				Any=0.05     ,  A_    :				List[Any]=256     ,  A_    :				Dict=0.02     ,  A_    :				Optional[Any]=False     ,  A_    :				Optional[int]=1E-1_2     ,  A_    :				Optional[Any]=1     ,  A_    :				List[Any]=0     ,  A_    :				List[str]=0.05     ,  A_    :				List[str]=64     ,  A_    :				Dict=64     ,  A_    :				Union[str, Any]=0.0     ,  A_    :				List[Any]=1     ,  A_    :				Tuple=0     ,  A_    :				List[str]=4096     ,  A_    :				Dict=12     ,  A_    :				Union[str, Any]=None     ,  A_    :				List[str]=1     ,  A_    :				Union[str, Any]=0     ,  A_    :				Optional[int]=320     ,  A_    :				Optional[Any]=False     ,  A_    :				Any=True     ,  A_    :				Any=None     ,  **A_    :				Optional[Any]     ,  )					-> List[Any]:
      SCREAMING_SNAKE_CASE__					     =						hash_seed
      SCREAMING_SNAKE_CASE__					     =						vocab_size
      SCREAMING_SNAKE_CASE__					     =						attention_head_size
      SCREAMING_SNAKE_CASE__					     =						hidden_size
      SCREAMING_SNAKE_CASE__					     =						num_attention_heads
      SCREAMING_SNAKE_CASE__					     =						num_hashes
      SCREAMING_SNAKE_CASE__					     =						len(A_	)
      SCREAMING_SNAKE_CASE__					     =						tuple(A_	) if isinstance(A_     ,  A_	) else num_buckets
      SCREAMING_SNAKE_CASE__					     =						lsh_attn_chunk_length
      SCREAMING_SNAKE_CASE__					     =						local_attn_chunk_length
      SCREAMING_SNAKE_CASE__					     =						lsh_num_chunks_after
      SCREAMING_SNAKE_CASE__					     =						lsh_num_chunks_before
      SCREAMING_SNAKE_CASE__					     =						local_num_chunks_after
      SCREAMING_SNAKE_CASE__					     =						local_num_chunks_before
      SCREAMING_SNAKE_CASE__					     =						hidden_act
      SCREAMING_SNAKE_CASE__					     =						feed_forward_size
      SCREAMING_SNAKE_CASE__					     =						hidden_dropout_prob
      SCREAMING_SNAKE_CASE__					     =						lsh_attention_probs_dropout_prob
      SCREAMING_SNAKE_CASE__					     =						local_attention_probs_dropout_prob
      SCREAMING_SNAKE_CASE__					     =						max_position_embeddings
      SCREAMING_SNAKE_CASE__					     =						initializer_range
      SCREAMING_SNAKE_CASE__					     =						layer_norm_eps
      SCREAMING_SNAKE_CASE__					     =						axial_pos_embds
      SCREAMING_SNAKE_CASE__					     =						tuple(A_	)
      SCREAMING_SNAKE_CASE__					     =						tuple(A_	)
      SCREAMING_SNAKE_CASE__					     =						axial_norm_std
      SCREAMING_SNAKE_CASE__					     =						chunk_size_lm_head
      SCREAMING_SNAKE_CASE__					     =						attn_layers
      SCREAMING_SNAKE_CASE__					     =						use_cache
      SCREAMING_SNAKE_CASE__					     =						classifier_dropout
      super().__init__(
          pad_token_id=A_     ,  eos_token_id=A_     ,  is_decoder=A_     ,  tie_word_embeddings=A_     ,  **A_     ,  )





from collections import namedtuple

A__        =			namedtuple("from_to", "from_ to")

A__        =			{
    "atm": from_to(1, 1),
    "pascal": from_to(0.0_000_098, 10_1325),
    "bar": from_to(0.986_923, 1.01_325),
    "kilopascal": from_to(0.00_986_923, 101.325),
    "megapascal": from_to(9.86_923, 0.101_325),
    "psi": from_to(0.068_046, 14.6_959),
    "inHg": from_to(0.0_334_211, 29.9_213),
    "torr": from_to(0.00_131_579, 760),
}





def 							__a       (					__A ,       __A ,       __A	):
    if from_type not in PRESSURE_CONVERSION:
        raise ValueError(
            f"Invalid 'from_type' value: {from_type!r}  Supported values are:\n"
            + ", ".join(__A	)	)
    if to_type not in PRESSURE_CONVERSION:
        raise ValueError(
            f"Invalid 'to_type' value: {to_type!r}.  Supported values are:\n"
            + ", ".join(__A	)	)
    return (
        value * PRESSURE_CONVERSION[from_type].from_ * PRESSURE_CONVERSION[to_type].to
    )


if __name__ == "__main__":
  import doctest

  doctest.testmod()


