code: def test_take_non_contiguous(device, shape, indices, axis):
      a = numpy.random.uniform(-1, 1, shape).astype("float32")
      indices = numpy.array(indices).astype(numpy.int32)
      chx_a = chainerx.array(a).astype("float32")
      a = numpy.transpose(a, axes=range(chx_a.ndim)[::-1])
      chx_a = chainerx.transpose(chx_a, axes=range(chx_a.ndim)[::-1])
      assert not chx_a.is_contiguous
      chx_indices = chainerx.array(indices).astype(numpy.int32)
      chx_out = chainerx.take(chx_a, chx_indices, axis)
      np_out = numpy.take(a, indices, axis)
      numpy.testing.assert_array_equal(chx_out, np_out)
  
imports: import unittest
  import numpy
  import pytest
  import chainer.testing
  import chainerx
  import chainerx.testing
  from chainerx_tests import array_utils
  from chainerx_tests import dtype_utils
  from chainerx_tests import math_utils
  from chainerx_tests import op_utils
label_desc: Use image node_id 5 for calling a global function with example usage: test_take_non_contiguous(device, shape, indices, axis) without return types