"""simple docstring"""


from typing import Callable, Optional, Union

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


UpperCAmelCase__     						=  logging.get_logger(__name__)

UpperCAmelCase__     						=  {
    """microsoft/xprophetnet-large-wiki100-cased""": (
        """https://huggingface.co/microsoft/xprophetnet-large-wiki100-cased/resolve/main/config.json"""
    ),
}


class 				a (						lowerCAmelCase_      ):
    _snake_case   :     int   							=							'xlm-prophetnet'
    _snake_case   :     List[Any]   							=							['past_key_values']
    _snake_case   :     Union[str, Any]   							=							{
        'num_attention_heads': 'num_encoder_attention_heads',
    }


    def __init__(    self		:     List[str]      , __lowerCAmelCase		:     Optional[float] = 0.1      , __lowerCAmelCase		:     Optional[Union[str, Callable]] = "gelu"      , __lowerCAmelCase		:     Optional[int] = 3_0522      , __lowerCAmelCase		:     Optional[int] = 1024      , __lowerCAmelCase		:     Optional[int] = 4096      , __lowerCAmelCase		:     Optional[int] = 12      , __lowerCAmelCase		:     Optional[int] = 16      , __lowerCAmelCase		:     Optional[int] = 4096      , __lowerCAmelCase		:     Optional[int] = 12      , __lowerCAmelCase		:     Optional[int] = 16      , __lowerCAmelCase		:     Optional[float] = 0.1      , __lowerCAmelCase		:     Optional[float] = 0.1      , __lowerCAmelCase		:     Optional[int] = 512      , __lowerCAmelCase		:     Optional[float] = 0.02      , __lowerCAmelCase		:     Optional[bool] = True      , __lowerCAmelCase		:     Optional[bool] = True      , __lowerCAmelCase		:     Optional[int] = 0      , __lowerCAmelCase		:     Optional[int] = 2      , __lowerCAmelCase		:     Optional[int] = 32      , __lowerCAmelCase		:     Optional[int] = 128      , __lowerCAmelCase		:     Optional[bool] = False      , __lowerCAmelCase		:     Optional[float] = 0.0      , __lowerCAmelCase		:     Optional[bool] = True      , __lowerCAmelCase		:     Optional[int] = 0      , __lowerCAmelCase		:     Optional[int] = 1      , __lowerCAmelCase		:     Optional[int] = 2      , **__lowerCAmelCase		:     Optional[int]      , ):
      _UpperCAmelCase         =					vocab_size
      _UpperCAmelCase         =					hidden_size
      _UpperCAmelCase         =					encoder_ffn_dim
      _UpperCAmelCase         =					num_encoder_layers
      _UpperCAmelCase         =					num_encoder_attention_heads
      _UpperCAmelCase         =					decoder_ffn_dim
      _UpperCAmelCase         =					num_decoder_layers
      _UpperCAmelCase         =					num_decoder_attention_heads
      _UpperCAmelCase         =					max_position_embeddings
      _UpperCAmelCase         =					init_std  # Normal(0, this parameter)
      _UpperCAmelCase         =					activation_function

      # parameters for xlmprophetnet
      _UpperCAmelCase         =					ngram
      _UpperCAmelCase         =					num_buckets
      _UpperCAmelCase         =					relative_max_distance
      _UpperCAmelCase         =					disable_ngram_loss
      _UpperCAmelCase         =					eps

      # 3 Types of Dropout
      _UpperCAmelCase         =					attention_dropout
      _UpperCAmelCase         =					activation_dropout
      _UpperCAmelCase         =					dropout

      _UpperCAmelCase         =					use_cache

      super().__init__(
          pad_token_id=__lowerCAmelCase      , bos_token_id=__lowerCAmelCase      , eos_token_id=__lowerCAmelCase      , is_encoder_decoder=__lowerCAmelCase      , add_cross_attention=__lowerCAmelCase      , decoder_start_token_id=__lowerCAmelCase      , **__lowerCAmelCase      , )


    @property
    def    lowerCAmelCase_     (    self		:     Optional[int]    ):
      return self.num_encoder_layers + self.num_decoder_layers


    @num_hidden_layers.setter
    def    lowerCAmelCase_     (    self		:     Tuple      , __lowerCAmelCase		:     Union[str, Any]    ):
      raise NotImplementedError(
          """This model does not support the setting of `num_hidden_layers`. Please set `num_encoder_layers` and"""
          """ `num_decoder_layers`."""    )

"""simple docstring"""


UpperCAmelCase__     						=  {
    """meter""": """m""",
    """kilometer""": """km""",
    """megametre""": """Mm""",
    """gigametre""": """Gm""",
    """terametre""": """Tm""",
    """petametre""": """Pm""",
    """exametre""": """Em""",
    """zettametre""": """Zm""",
    """yottametre""": """Ym""",
}
# Exponent of the factor(meter)
UpperCAmelCase__     						=  {
    """m""": 0,
    """km""": 3,
    """Mm""": 6,
    """Gm""": 9,
    """Tm""": 1_2,
    """Pm""": 1_5,
    """Em""": 1_8,
    """Zm""": 2_1,
    """Ym""": 2_4,
}






def 			__UpperCAmelCase    (	lowercase      ,lowercase      ,lowercase						):







  """simple docstring"""
  _UpperCAmelCase         =					from_type.lower().strip("""s"""						)
  _UpperCAmelCase         =					to_type.lower().strip("""s"""						)

  _UpperCAmelCase         =					UNIT_SYMBOL.get(lowercase      ,lowercase						)
  _UpperCAmelCase         =					UNIT_SYMBOL.get(lowercase      ,lowercase						)

  if from_sanitized not in METRIC_CONVERSION:
    _UpperCAmelCase         =					(
        f'''Invalid \'from_type\' value: {from_type!r}.\n'''
        f'''Conversion abbreviations are: {", ".join(lowercase						)}'''
    )
    raise ValueError(lowercase						)
  if to_sanitized not in METRIC_CONVERSION:
    _UpperCAmelCase         =					(
        f'''Invalid \'to_type\' value: {to_type!r}.\n'''
        f'''Conversion abbreviations are: {", ".join(lowercase						)}'''
    )
    raise ValueError(lowercase						)
  _UpperCAmelCase         =					METRIC_CONVERSION[from_sanitized]
  _UpperCAmelCase         =					METRIC_CONVERSION[to_sanitized]
  _UpperCAmelCase         =					1

  if from_exponent > to_exponent:
    _UpperCAmelCase         =					from_exponent - to_exponent
  else:
    _UpperCAmelCase         =					-(to_exponent - from_exponent)

  return value * pow(10      ,lowercase						)


if __name__ == "__main__":
    from doctest import testmod

    testmod()
