



'''simple docstring'''



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


lowerCAmelCase						:		List[Any]						      = logging.get_logger(__name__)

lowerCAmelCase						:		Optional[int]						      = {
    # 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        UpperCAmelCase__						(		_lowerCamelCase			):
					a   :  Tuple   =				"""graphormer"""
					a   :  List[Any]   =				["""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 = 1024      ,					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      ,					)  ->      List[Any]:
						__lowerCAmelCase       				=	num_classes
						__lowerCAmelCase       				=	num_atoms
						__lowerCAmelCase       				=	num_in_degree
						__lowerCAmelCase       				=	num_out_degree
						__lowerCAmelCase       				=	num_edges
						__lowerCAmelCase       				=	num_spatial
						__lowerCAmelCase       				=	num_edge_dis
						__lowerCAmelCase       				=	edge_type
						__lowerCAmelCase       				=	multi_hop_max_dist
						__lowerCAmelCase       				=	spatial_pos_max
						__lowerCAmelCase       				=	max_nodes
						__lowerCAmelCase       				=	num_hidden_layers
						__lowerCAmelCase       				=	embedding_dim
						__lowerCAmelCase       				=	embedding_dim
						__lowerCAmelCase       				=	ffn_embedding_dim
						__lowerCAmelCase       				=	num_attention_heads
						__lowerCAmelCase       				=	dropout
						__lowerCAmelCase       				=	attention_dropout
						__lowerCAmelCase       				=	layerdrop
						__lowerCAmelCase       				=	encoder_normalize_before
						__lowerCAmelCase       				=	pre_layernorm
						__lowerCAmelCase       				=	apply_graphormer_init
						__lowerCAmelCase       				=	activation_fn
						__lowerCAmelCase       				=	embed_scale
						__lowerCAmelCase       				=	freeze_embeddings
						__lowerCAmelCase       				=	num_trans_layers_to_freeze
						__lowerCAmelCase       				=	share_input_output_embed
						__lowerCAmelCase       				=	traceable
						__lowerCAmelCase       				=	q_noise
						__lowerCAmelCase       				=	qn_block_size

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

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


"""simple docstring"""



def 			_snake_case  (     UpperCAmelCase_	:       str       , UpperCAmelCase_	:       str       , UpperCAmelCase_	:       int       , UpperCAmelCase_	:       int       , UpperCAmelCase_	:       int       , UpperCAmelCase_	:       int       , ):
     A__				      =	list(UpperCAmelCase_      )
     A__				      =	list(UpperCAmelCase_      )
     A__				      =	len(UpperCAmelCase_      )
     A__				      =	len(UpperCAmelCase_      )

     A__				      =	[
         [0 for _ in range(len_destination_seq + 1      )] for _ in range(len_source_seq + 1      )
     ]
     A__				      =	[
         ["""0""" for _ in range(len_destination_seq + 1      )] for _ in range(len_source_seq + 1      )
     ]

     for i in range(1       , len_source_seq + 1      ):
          A__				      =	i * delete_cost
          A__				      =	F"""D{source_seq[i - 1]:c}"""

     for i in range(1       , len_destination_seq + 1      ):
          A__				      =	i * insert_cost
          A__				      =	F"""I{destination_seq[i - 1]:c}"""

     for i in range(1       , len_source_seq + 1      ):
          for j in range(1       , len_destination_seq + 1      ):
               if source_seq[i - 1] == destination_seq[j - 1]:
                    A__				      =	costs[i - 1][j - 1] + copy_cost
                    A__				      =	F"""C{source_seq[i - 1]:c}"""
               else:
                    A__				      =	costs[i - 1][j - 1] + replace_cost
                    A__				      =	F"""R{source_seq[i - 1]:c}""" + str(destination_seq[j - 1]      )

               if costs[i - 1][j] + delete_cost < costs[i][j]:
                    A__				      =	costs[i - 1][j] + delete_cost
                    A__				      =	F"""D{source_seq[i - 1]:c}"""

               if costs[i][j - 1] + insert_cost < costs[i][j]:
                    A__				      =	costs[i][j - 1] + insert_cost
                    A__				      =	F"""I{destination_seq[j - 1]:c}"""

     return costs, ops





def 			_snake_case  (     UpperCAmelCase_	:       list[list[str]]       , UpperCAmelCase_	:       int       , UpperCAmelCase_	:       int      ):
     if i == 0 and j == 0:
          return []
     else:
          if ops[i][j][0] == "C" or ops[i][j][0] == "R":
               A__				      =	assemble_transformation(UpperCAmelCase_       , i - 1       , j - 1      )
               seq.append(ops[i][j]      )
               return seq
          elif ops[i][j][0] == "D":
               A__				      =	assemble_transformation(UpperCAmelCase_       , i - 1       , UpperCAmelCase_      )
               seq.append(ops[i][j]      )
               return seq
          else:
               A__				      =	assemble_transformation(UpperCAmelCase_       , UpperCAmelCase_       , j - 1      )
               seq.append(ops[i][j]      )
               return seq


if __name__ == "__main__":
 SCREAMING_SNAKE_CASE_	,SCREAMING_SNAKE_CASE_       :						List[Any]					=    compute_transform_tables('Python', 'Algorithms', -1, 1, 2, 2)

 SCREAMING_SNAKE_CASE_       :						Any					=    len(operations)
 SCREAMING_SNAKE_CASE_       :						Dict					=    len(operations[0])
 SCREAMING_SNAKE_CASE_       :						Any					=    assemble_transformation(operations, m - 1, n - 1)

 SCREAMING_SNAKE_CASE_       :						List[str]					=    list('Python')
 SCREAMING_SNAKE_CASE_       :						Dict					=    0
 SCREAMING_SNAKE_CASE_       :						Optional[int]					=    0

 with open('min_cost.txt', 'w') as file:
  for op in sequence:
   print(''.join(string))

   if op[0] == "C":
    file.write('%-16s' % 'Copy %c' % op[1])
    file.write('\t\t\t' + ''.join(string))
    file.write('\r\n')

    cost -= 1
   elif op[0] == "R":
    SCREAMING_SNAKE_CASE_       :						int					=    op[2]

    file.write('%-16s' % ('Replace %c' % op[1] + ' with ' + str(op[2])))
    file.write('\t\t' + ''.join(string))
    file.write('\r\n')

    cost += 1
   elif op[0] == "D":
    string.pop(i)

    file.write('%-16s' % 'Delete %c' % op[1])
    file.write('\t\t\t' + ''.join(string))
    file.write('\r\n')

    cost += 2
   else:
    string.insert(i, op[1])

    file.write('%-16s' % 'Insert %c' % op[1])
    file.write('\t\t\t' + ''.join(string))
    file.write('\r\n')

    cost += 2

   i += 1

  print(''.join(string))
  print('Cost: ', cost)

  file.write('\r\nMinimum cost: ' + str(cost))






