code: def test_adaptive_increase(self):
      # if few steps are rejected, the stepsize should increase
      x = 0.0
      self.takestep(x)
      self.takestep.report(False)
      for i in range(self.takestep.interval):
          self.takestep(x)
          self.takestep.report(True)
      assert_(self.ts.stepsize > self.stepsize)
  
imports: import copy
  from numpy.testing import assert_almost_equal, assert_equal, assert_
  import pytest
  from pytest import raises
  import numpy
  from numpy import cos, sin
  from scipy.optimize import basinhopping, OptimizeResult
  from scipy.optimize._basinhopping import Storage, RandomDisplacement, Metropolis, AdaptiveStepsize
  from scipy._lib._pep440 import Version
label_desc: Use image node_id 2 for calling the Test_AdaptiveStepsize obj's underlying member method code with example usage: obj.test_adaptive_increase() without return types