




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


_lowerCamelCase			 =						logging.get_logger(__name__)

_lowerCamelCase			 =						{
    # 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 			a     (   _A			):

     '''simple docstring'''





     lowerCAmelCase				:       Any   		=  'graphormer'
     lowerCAmelCase				:       Optional[int]   		=  ['past_key_values']
     def __init__(	self   :			Optional[Any]					,    __snake_case   :			int = 1					,    __snake_case   :			int = 5_12 * 9					,    __snake_case   :			int = 5_12 * 3					,    __snake_case   :			int = 5_12					,    __snake_case   :			int = 5_12					,    __snake_case   :			int = 5_12					,    __snake_case   :			int = 1_28					,    __snake_case   :			int = 5					,    __snake_case   :			int = 10_24					,    __snake_case   :			str = "multi_hop"					,    __snake_case   :			int = 5_12					,    __snake_case   :			bool = False					,    __snake_case   :			int = 12					,    __snake_case   :			int = 7_68					,    __snake_case   :			int = 7_68					,    __snake_case   :			int = 32					,    __snake_case   :			float = 0.1					,    __snake_case   :			float = 0.1					,    __snake_case   :			float = 0.0					,    __snake_case   :			bool = False					,    __snake_case   :			bool = False					,    __snake_case   :			bool = False					,    __snake_case   :			str = "gelu"					,    __snake_case   :			float = None					,    __snake_case   :			bool = False					,    __snake_case   :			int = 0					,    __snake_case   :			bool = False					,    __snake_case   :			float = 0.0					,    __snake_case   :			int = 8					,    __snake_case   :			int = None					,    __snake_case   :			int = None					,    __snake_case   :			bool = True					,    __snake_case   :			bool = True					,    __snake_case   :			List[Any]=0					,    __snake_case   :			Dict=1					,    __snake_case   :			Optional[Any]=2					,    **__snake_case   :			List[Any]					,    ):
         UpperCAmelCase_							 =     num_classes
         UpperCAmelCase_							 =     num_atoms
         UpperCAmelCase_							 =     num_in_degree
         UpperCAmelCase_							 =     num_out_degree
         UpperCAmelCase_							 =     num_edges
         UpperCAmelCase_							 =     num_spatial
         UpperCAmelCase_							 =     num_edge_dis
         UpperCAmelCase_							 =     edge_type
         UpperCAmelCase_							 =     multi_hop_max_dist
         UpperCAmelCase_							 =     spatial_pos_max
         UpperCAmelCase_							 =     max_nodes
         UpperCAmelCase_							 =     num_hidden_layers
         UpperCAmelCase_							 =     embedding_dim
         UpperCAmelCase_							 =     embedding_dim
         UpperCAmelCase_							 =     ffn_embedding_dim
         UpperCAmelCase_							 =     num_attention_heads
         UpperCAmelCase_							 =     dropout
         UpperCAmelCase_							 =     attention_dropout
         UpperCAmelCase_							 =     layerdrop
         UpperCAmelCase_							 =     encoder_normalize_before
         UpperCAmelCase_							 =     pre_layernorm
         UpperCAmelCase_							 =     apply_graphormer_init
         UpperCAmelCase_							 =     activation_fn
         UpperCAmelCase_							 =     embed_scale
         UpperCAmelCase_							 =     freeze_embeddings
         UpperCAmelCase_							 =     num_trans_layers_to_freeze
         UpperCAmelCase_							 =     share_input_output_embed
         UpperCAmelCase_							 =     traceable
         UpperCAmelCase_							 =     q_noise
         UpperCAmelCase_							 =     qn_block_size

         # These parameters are here for future extensions
         # atm, the model only supports self attention
         UpperCAmelCase_							 =     kdim
         UpperCAmelCase_							 =     vdim
         UpperCAmelCase_							 =     self_attention
         UpperCAmelCase_							 =     bias

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











from __future__ import annotations

from enum import Enum, unique
from typing import TypeVar

# Create a generic variable that can be 'Enum', or any subclass.
_lowerCamelCase			 =						TypeVar('T', bound='Enum')



@unique
class 			a     (   _A			):

     '''simple docstring'''





     lowerCAmelCase				:       Optional[Any]   		=  80
     lowerCAmelCase				:       List[str]   		=  70
     lowerCAmelCase				:       Optional[Any]   		=  60
     lowerCAmelCase				:       Optional[Any]   		=  50
     lowerCAmelCase				:       List[Any]   		=  40
     lowerCAmelCase				:       Dict   		=  30
     lowerCAmelCase				:       List[Any]   		=  20
     lowerCAmelCase				:       List[Any]   		=  10



@unique
class 			a     (   _A			):

     '''simple docstring'''





     lowerCAmelCase				:       Dict   		=  24
     lowerCAmelCase				:       Union[str, Any]   		=  21
     lowerCAmelCase				:       Tuple   		=  18
     lowerCAmelCase				:       str   		=  15
     lowerCAmelCase				:       Dict   		=  12
     lowerCAmelCase				:       Dict   		=  9
     lowerCAmelCase				:       Tuple   		=  6
     lowerCAmelCase				:       Any   		=  3
     lowerCAmelCase				:       List[str]   		=  2
     lowerCAmelCase				:       Any   		=  1
     lowerCAmelCase				:       str   		=  -1
     lowerCAmelCase				:       Any   		=  -2
     lowerCAmelCase				:       List[str]   		=  -3
     lowerCAmelCase				:       Dict   		=  -6
     lowerCAmelCase				:       int   		=  -9
     lowerCAmelCase				:       Optional[Any]   		=  -12
     lowerCAmelCase				:       List[str]   		=  -15
     lowerCAmelCase				:       Any   		=  -18
     lowerCAmelCase				:       int   		=  -21
     lowerCAmelCase				:       Union[str, Any]   		=  -24
     @classmethod
     def   lowerCamelCase_   (	cls   :			type[T]				):
         return {unit.name: unit.value for unit in cls if unit.value > 0}




     @classmethod
     def   lowerCamelCase_   (	cls   :			type[T]				):
         return {unit.name: unit.value for unit in cls if unit.value < 0}




def 					SCREAMING_SNAKE_CASE	(       __UpperCamelCase			:						float      )  ->							str:
    UpperCAmelCase_							 =     SIUnit.get_positive() if value > 0 else SIUnit.get_negative()
    for name_prefix, value_prefix in prefixes.items():
        UpperCAmelCase_							 =     value / (10**value_prefix)
        if numerical_part > 1:
            return f'{numerical_part!s} {name_prefix}'
    return str(__UpperCamelCase      )




def 					SCREAMING_SNAKE_CASE	(       __UpperCamelCase			:						float      )  ->							str:
    for prefix in BinaryUnit:
        UpperCAmelCase_							 =     value / (2**prefix.value)
        if numerical_part > 1:
            return f'{numerical_part!s} {prefix.name}'
    return str(__UpperCamelCase      )


if __name__ == "__main__":
 import doctest

 doctest.testmod()





