

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


_SCREAMING_SNAKE_CASE							 =			logging.get_logger(__name__)

_SCREAMING_SNAKE_CASE							 =			{
    # pcqm4mv1 now deprecated
    '''graphormer-base''': '''https://huggingface.co/clefourrier/graphormer-base-pcqm4mv2/resolve/main/config.json''',
    # See all Graphormer models at https://huggingface.co/models?filter=graphormer
}


class      lowerCamelCase_ (			_lowerCAmelCase):
 _lowerCAmelCase									=	'''graphormer'''
 _lowerCAmelCase									=	['''past_key_values''']




 def __init__(			self  ,  _UpperCAmelCase = 1  ,  _UpperCAmelCase = 512 * 9  ,  _UpperCAmelCase = 512 * 3  ,  _UpperCAmelCase = 512  ,  _UpperCAmelCase = 512  ,  _UpperCAmelCase = 512  ,  _UpperCAmelCase = 128  ,  _UpperCAmelCase = 5  ,  _UpperCAmelCase = 1_024  ,  _UpperCAmelCase = "multi_hop"  ,  _UpperCAmelCase = 512  ,  _UpperCAmelCase = False  ,  _UpperCAmelCase = 12  ,  _UpperCAmelCase = 768  ,  _UpperCAmelCase = 768  ,  _UpperCAmelCase = 32  ,  _UpperCAmelCase = 0.1  ,  _UpperCAmelCase = 0.1  ,  _UpperCAmelCase = 0.0  ,  _UpperCAmelCase = False  ,  _UpperCAmelCase = False  ,  _UpperCAmelCase = False  ,  _UpperCAmelCase = "gelu"  ,  _UpperCAmelCase = None  ,  _UpperCAmelCase = False  ,  _UpperCAmelCase = 0  ,  _UpperCAmelCase = False  ,  _UpperCAmelCase = 0.0  ,  _UpperCAmelCase = 8  ,  _UpperCAmelCase = None  ,  _UpperCAmelCase = None  ,  _UpperCAmelCase = True  ,  _UpperCAmelCase = True  ,  _UpperCAmelCase=0  ,  _UpperCAmelCase=1  ,  _UpperCAmelCase=2  ,  **_UpperCAmelCase  ,  ):
   __UpperCAmelCase	:  str		=     num_classes
   __UpperCAmelCase	:  List[str]		=     num_atoms
   __UpperCAmelCase	:  List[str]		=     num_in_degree
   __UpperCAmelCase	:  Union[str, Any]		=     num_out_degree
   __UpperCAmelCase	:  List[Any]		=     num_edges
   __UpperCAmelCase	:  Optional[Any]		=     num_spatial
   __UpperCAmelCase	:  List[str]		=     num_edge_dis
   __UpperCAmelCase	:  Any		=     edge_type
   __UpperCAmelCase	:  List[str]		=     multi_hop_max_dist
   __UpperCAmelCase	:  str		=     spatial_pos_max
   __UpperCAmelCase	:  str		=     max_nodes
   __UpperCAmelCase	:  int		=     num_hidden_layers
   __UpperCAmelCase	:  List[Any]		=     embedding_dim
   __UpperCAmelCase	:  Optional[Any]		=     embedding_dim
   __UpperCAmelCase	:  Optional[int]		=     ffn_embedding_dim
   __UpperCAmelCase	:  int		=     num_attention_heads
   __UpperCAmelCase	:  List[Any]		=     dropout
   __UpperCAmelCase	:  Union[str, Any]		=     attention_dropout
   __UpperCAmelCase	:  Dict		=     layerdrop
   __UpperCAmelCase	:  Optional[int]		=     encoder_normalize_before
   __UpperCAmelCase	:  Dict		=     pre_layernorm
   __UpperCAmelCase	:  str		=     apply_graphormer_init
   __UpperCAmelCase	:  List[Any]		=     activation_fn
   __UpperCAmelCase	:  int		=     embed_scale
   __UpperCAmelCase	:  Any		=     freeze_embeddings
   __UpperCAmelCase	:  List[Any]		=     num_trans_layers_to_freeze
   __UpperCAmelCase	:  Union[str, Any]		=     share_input_output_embed
   __UpperCAmelCase	:  Any		=     traceable
   __UpperCAmelCase	:  Optional[int]		=     q_noise
   __UpperCAmelCase	:  str		=     qn_block_size

   # These parameters are here for future extensions
   # atm, the model only supports self attention
   __UpperCAmelCase	:  Dict		=     kdim
   __UpperCAmelCase	:  str		=     vdim
   __UpperCAmelCase	:  Dict		=     self_attention
   __UpperCAmelCase	:  Optional[int]		=     bias

   super().__init__(
       pad_token_id=_UpperCAmelCase  ,  bos_token_id=_UpperCAmelCase  ,  eos_token_id=_UpperCAmelCase  ,  **_UpperCAmelCase  ,  )








from __future__ import annotations



def  snake_case_(_UpperCamelCase					,			_UpperCamelCase					,			_UpperCamelCase	)				->      int:



  """simple docstring"""






  assert n > 1 and a > 0 and greatest_common_divisor(_UpperCamelCase					,			_UpperCamelCase	) == 1
  ((_snake_case),	(_snake_case),	(_snake_case))		=				extended_gcd(_UpperCamelCase					,			_UpperCamelCase	)  # Implemented below
  _snake_case		=				(b * s) % n
  return x



def  snake_case_(_UpperCamelCase					,			_UpperCamelCase	)				->      int:



  """simple docstring"""






  ((_snake_case),	(_snake_case))		=				extended_euclid(_UpperCamelCase					,			_UpperCamelCase	)  # Implemented below
  if b < 0:
    _snake_case		=				(b % n + n) % n
  return b



def  snake_case_(_UpperCamelCase					,			_UpperCamelCase					,			_UpperCamelCase	)				->      int:



  """simple docstring"""






  _snake_case		=				invert_modulo(_UpperCamelCase					,			_UpperCamelCase	)
  _snake_case		=				(b * s) % n
  return x



def  snake_case_(_UpperCamelCase					,			_UpperCamelCase	)				->      tuple[int, int, int]:



  """simple docstring"""






  assert a >= 0 and b >= 0

  if b == 0:
    _snake_case,	_snake_case,	_snake_case		=				a, 1, 0
  else:
    ((_snake_case),	(_snake_case),	(_snake_case))		=				extended_gcd(_UpperCamelCase					,			a % b	)
    _snake_case		=				q
    _snake_case		=				p - q * (a // b)

  assert a % d == 0 and b % d == 0
  assert d == a * x + b * y

  return (d, x, y)



def  snake_case_(_UpperCamelCase					,			_UpperCamelCase	)				->      tuple[int, int]:



  """simple docstring"""






  if b == 0:
    return (1, 0)
  ((_snake_case),	(_snake_case))		=				extended_euclid(_UpperCamelCase					,			a % b	)
  _snake_case		=				a // b
  return (y, x - k * y)



def  snake_case_(_UpperCamelCase					,			_UpperCamelCase	)				->      int:



  """simple docstring"""






  if a < b:
    _snake_case,	_snake_case		=				b, a

  while a % b != 0:
    _snake_case,	_snake_case		=				b, a % b

  return b


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

 testmod(name='''modular_division''', verbose=True)
 testmod(name='''modular_division2''', verbose=True)
 testmod(name='''invert_modulo''', verbose=True)
 testmod(name='''extended_gcd''', verbose=True)
 testmod(name='''extended_euclid''', verbose=True)
 testmod(name='''greatest_common_divisor''', verbose=True)

