code: def position2value(self, position):
      value = []
  
      for n, space_dim in enumerate(self.s_space.values_l):
          value.append(space_dim[position[n]])
  
      return value
  
file_path: Hyperactive/hyperactive/optimizers/hyper_gradient_conv.py
imports: import numpy
  import pandas
label_desc: Use image node_id 5 for calling the HyperGradientConv obj's underlying member method code with example usage: obj.position2value(position) and returns: value