




'''simple docstring'''




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


UpperCAmelCase_       				=      logging.get_logger(__name__)

UpperCAmelCase_       				=      {
    'google/pegasus-x-base': 'https://huggingface.co/google/pegasus-x-base/resolve/main/config.json',
    'google/pegasus-x-large': 'https://huggingface.co/google/pegasus-x-large/resolve/main/config.json',
    # See all PEGASUS-X models at https://huggingface.co/models?filter=pegasus-x
}

class 						lowerCAmelCase_   ( lowerCamelCase_   ):







  '''simple docstring'''







  lowerCAmelCase_				:					Tuple				     =						"""pegasus_x"""
  lowerCAmelCase_				:					Any				     =						["""past_key_values"""]
  lowerCAmelCase_				:					Union[str, Any]				     =						{"""num_attention_heads""": """encoder_attention_heads""", """hidden_size""": """d_model"""}


  def __init__(						self    :	Tuple						,		_UpperCAmelCase    :	Optional[int]=9_61_03						,		_UpperCAmelCase    :	Union[str, Any]=1_63_84						,		_UpperCAmelCase    :	Any=16						,		_UpperCAmelCase    :	Union[str, Any]=40_96						,		_UpperCAmelCase    :	Any=16						,		_UpperCAmelCase    :	int=16						,		_UpperCAmelCase    :	Dict=40_96						,		_UpperCAmelCase    :	int=16						,		_UpperCAmelCase    :	Optional[int]=0.0						,		_UpperCAmelCase    :	Tuple=0.0						,		_UpperCAmelCase    :	Optional[Any]=True						,		_UpperCAmelCase    :	int=True						,		_UpperCAmelCase    :	str="gelu"						,		_UpperCAmelCase    :	Optional[int]=10_24						,		_UpperCAmelCase    :	Optional[int]=0.1						,		_UpperCAmelCase    :	Tuple=0.0						,		_UpperCAmelCase    :	List[str]=0.0						,		_UpperCAmelCase    :	Union[str, Any]=0.02						,		_UpperCAmelCase    :	str=0						,		_UpperCAmelCase    :	List[Any]=True						,		_UpperCAmelCase    :	str=0						,		_UpperCAmelCase    :	List[str]=1						,		_UpperCAmelCase    :	Dict=1						,		_UpperCAmelCase    :	Optional[Any]=32						,		_UpperCAmelCase    :	Optional[Any]=5_12						,		_UpperCAmelCase    :	int=True						,		**_UpperCAmelCase    :	Dict						,		):






   """simple docstring"""






   UpperCAmelCase__										=    vocab_size
   UpperCAmelCase__										=    max_position_embeddings
   UpperCAmelCase__										=    d_model
   UpperCAmelCase__										=    encoder_ffn_dim
   UpperCAmelCase__										=    encoder_layers
   UpperCAmelCase__										=    encoder_attention_heads
   UpperCAmelCase__										=    decoder_ffn_dim
   UpperCAmelCase__										=    decoder_layers
   UpperCAmelCase__										=    decoder_attention_heads
   UpperCAmelCase__										=    dropout
   UpperCAmelCase__										=    attention_dropout
   UpperCAmelCase__										=    activation_dropout
   UpperCAmelCase__										=    activation_function
   UpperCAmelCase__										=    init_std
   UpperCAmelCase__										=    encoder_layerdrop
   UpperCAmelCase__										=    decoder_layerdrop
   UpperCAmelCase__										=    use_cache
   UpperCAmelCase__										=    encoder_layers
   UpperCAmelCase__										=    scale_embedding  # scale factor will be sqrt(d_model) if True

   UpperCAmelCase__										=    num_global_tokens
   UpperCAmelCase__										=    block_size
   UpperCAmelCase__										=    stagger_local_blocks

   super().__init__(
       pad_token_id=_UpperCAmelCase						,		eos_token_id=_UpperCAmelCase						,		is_encoder_decoder=_UpperCAmelCase						,		decoder_start_token_id=_UpperCAmelCase						,		forced_eos_token_id=_UpperCAmelCase						,		**_UpperCAmelCase						,		)


  @property
  def 							SCREAMING_SNAKE_CASE__			(						self    :	Union[str, Any] ):






   """simple docstring"""






   return self.encoder_attention_heads



  @property
  def 							SCREAMING_SNAKE_CASE__			(						self    :	Optional[int] ):






   """simple docstring"""






   return self.d_model






'''simple docstring'''




from collections import namedtuple

UpperCAmelCase_       				=      namedtuple('from_to', 'from_ to')

UpperCAmelCase_       				=      {
    'millimeter': 'mm',
    'centimeter': 'cm',
    'meter': 'm',
    'kilometer': 'km',
    'inch': 'in',
    'inche': 'in',  # Trailing 's' has been stripped off
    'feet': 'ft',
    'foot': 'ft',
    'yard': 'yd',
    'mile': 'mi',
}

UpperCAmelCase_       				=      {
    'mm': from_to(0.001, 1_0_0_0),
    'cm': from_to(0.01, 1_0_0),
    'm': from_to(1, 1),
    'km': from_to(1_0_0_0, 0.001),
    'in': from_to(0.0254, 39.3701),
    'ft': from_to(0.3048, 3.2_8084),
    'yd': from_to(0.9144, 1.0_9361),
    'mi': from_to(1609.34, 0.0_0062_1371),
}

def    _UpperCamelCase      (				SCREAMING_SNAKE_CASE__			:      float       ,						SCREAMING_SNAKE_CASE__			:      str       ,						SCREAMING_SNAKE_CASE__			:      str       ):
 '''simple docstring'''





 UpperCAmelCase__										=    from_type.lower().rstrip("""s"""       )
 UpperCAmelCase__										=    TYPE_CONVERSION.get(SCREAMING_SNAKE_CASE__       ,						SCREAMING_SNAKE_CASE__       )
 UpperCAmelCase__										=    to_type.lower().rstrip("""s"""       )
 UpperCAmelCase__										=    TYPE_CONVERSION.get(SCREAMING_SNAKE_CASE__       ,						SCREAMING_SNAKE_CASE__       )
 if new_from not in METRIC_CONVERSION:
  UpperCAmelCase__										=    (
      F'''Invalid \'from_type\' value: {from_type!r}.\n'''
      F'''Conversion abbreviations are: {', '.join(SCREAMING_SNAKE_CASE__       )}'''
  )
  raise ValueError(SCREAMING_SNAKE_CASE__       )
 if new_to not in METRIC_CONVERSION:
  UpperCAmelCase__										=    (
      F'''Invalid \'to_type\' value: {to_type!r}.\n'''
      F'''Conversion abbreviations are: {', '.join(SCREAMING_SNAKE_CASE__       )}'''
  )
  raise ValueError(SCREAMING_SNAKE_CASE__       )
 return value * METRIC_CONVERSION[new_from].from_ * METRIC_CONVERSION[new_to].to


if __name__ == "__main__":
    import doctest

    doctest.testmod()
