code: def test_indexing_shape_change():
      class ConcatBlock(mx.gluon.nn.HybridBlock):
          def forward(self, inputs):
              return mx.np.concatenate(
                  [
                      inputs,
                      mx.np.pad(inputs[:, 1:], ((0, 0), (0, 1))),
                  ]
              )
  
      net = ConcatBlock()
      net.hybridize()
      net(mx.np.random.uniform(size=(8, 16)))
      net(mx.np.random.uniform(size=(8, 8)))
  
imports: import functools
  import operator
  import numpy
  import mxnet
  import mxnet._deferred_compute
  from mxnet.base import MXNetError
  from mxnet.util import TemporaryDirectory
  import pytest
label_desc: Use image node_id 37 for calling a global function with example usage: test_indexing_shape_change() and returns: mx