code: def integrate(self, *args, **kwargs):
      depth = kwargs.pop("depth", 0)
      if kwargs:
          raise ValueError("unexpected kwargs")
  
      # Get the integration range and options for this depth.
      ind = -(depth + 1)
      fn_range = self.ranges[ind]
      low, high = fn_range(*args)
      fn_opt = self.opts[ind]
      opt = dict(fn_opt(*args))
  
      if "points" in opt:
          opt["points"] = [x for x in opt["points"] if low <= x <= high]
      if depth + 1 == self.maxdepth:
          f = self.func
      else:
          f = partial(self.integrate, depth=depth + 1)
      quad_r = quad(
          f, low, high, args=args, full_output=self.full_output, **opt
      )
      value = quad_r[0]
      abserr = quad_r[1]
      if self.full_output:
          infodict = quad_r[2]
          # The 'neval' parameter in full_output returns the total
          # number of times the integrand function was evaluated.
          # Therefore, only the innermost integration loop counts.
          if depth + 1 == self.maxdepth:
              self.out_dict["neval"] += infodict["neval"]
      self.abserr = max(self.abserr, abserr)
      if depth > 0:
          return value
      else:
          # Final result of N-D integration with error
          if self.full_output:
              return value, self.abserr, self.out_dict
          else:
              return value, self.abserr
  
imports: import sys
  import warnings
  from functools import partial
  from .None import _quadpack
  import numpy
  from numpy import Inf
label_desc: Use image node_id 2 for calling the _NQuad obj's underlying member method code with example usage: obj.integrate() and returns: value, value,  self,  self, value,  self