docstr: Find subspace of feasible points from g_func definition
code: def sampling_subspace(self):
      """Find subspace of feasible points from g_func definition"""
      # Subspace of feasible points.
      for ind, g in enumerate(self.g_cons):
          self.C = self.C[g(self.C.T, *self.g_args[ind]) >= 0.0]
          if self.C.size == 0:
              self.res.message = (
                  "No sampling point found within the "
                  + "feasible set. Increasing sampling "
                  + "size."
              )
              # sampling correctly for both 1-D and >1-D cases
              if self.disp:
                  print(self.res.message)
  
imports: import numpy
  import time
  import logging
  import warnings
  from scipy import spatial
  from scipy.optimize import OptimizeResult, minimize
  from scipy.optimize._shgo_lib.triangulation import Complex
label_desc: Use image node_id 29 for calling the SHGO obj's underlying member method code with example usage: obj.sampling_subspace() without return types