docstr: Test the case where the axes arg does not monotonically increase.
          
code: def test_non_monotonic_increasing_axes(self):
      """Test the case where the axes arg does not monotonically increase."""
      axes = (1, 0)
  
      # We still need the shapes to work!
      in_shape = numpy.asarray(self.input_shapes["2d"])[list(axes)]
      out_shape = numpy.asarray(self.output_shapes["2d"])[list(axes)]
  
      a, b = self.create_test_arrays(in_shape, out_shape, axes=axes)
  
      self.run_validate_fft(a, b, axes, create_array_copies=False)
  
imports: from pyfftw import FFTW, byte_align, empty_aligned, forget_wisdom
  import pyfftw
  import numpy
  from timeit import Timer
  import time
  import unittest
  from .test_pyfftw_base import FFTWBaseTest, run_test_suites, miss, np_fft
label_desc: Use image node_id 4 for calling the Complex64FFTWTest obj's underlying member method code with example usage: obj.test_non_monotonic_increasing_axes() without return types