class_docstr: Elements to be sorted according to metric value.
class_docstr_tok: ["Elements","to","be","sorted","according","to","metric","value","."]
code: def __lt__(self, other):
      return self.metric_value < other.metric_value
  
imports: import math
  import random
  from copy import deepcopy
  from functools import total_ordering
  from queue import PriorityQueue
  import numpy
  from scipy.linalg import LinAlgError, cho_solve, cholesky, solve_triangular
  from scipy.optimize import linear_sum_assignment
  from sklearn.metrics.pairwise import rbf_kernel
  from nni.utils import OptimizeMode
  from .graph_transformer import transform
  from .utils import Constant
  from .layers import is_layer
label_desc: Use image node_id 3 for calling the Elem obj's underlying member method code with example usage: obj.__lt__(other) and returns: unknown